Departmental Advisors
Trans./University
N. Cotter
MEB 2270
Undergraduate Studies Office/Director of Advising
A. Rasmussen
MEB 2268
Electrical Engineering Undergraduate Advisor
Brandon Riddle
MEB 2266B
Computer Engineering Undergraduate Advisor
Maddie Porter
MEB 2266A
Graduate Advisor
Liz Rowberry
MEB 2266C
Academic Advising Coordinator
John Bolke
MEB 2110D
BS/MS Advisor
A. Verkler
MEB 2102
Departmental Notes

For course descriptions and pre-requisite information click on the subject column next to the appropriate catalog number.

ALL STUDENTS TAKING ELECTRONIC ENGINEERING LABS MUST PURCHASE ELECTRONIC COMPONENTS. For course descriptions and pre-requisite information click on the subject column next to the appropriate catalog number. THIS DEPARTMENT ENFORCES UNDERGRADUATE PREREQUISITES. Please note that the registration system may not factor in transfer work when determining if prerequisites have been met. If you are unable to register for a course and think you have met the prerequisite(s), please fill out the Registration Permission Code request form found on our website at http://www.ece.utah.edu/ . You may be administratively dropped from a course if the prerequisite has not been met.

ECE 1030 - 001 Your Smartphone


Portable electronics, especially smartphones, are arguably the technologies that have had the greatest impact on the life and experience of individuals and society in the 21st century. Introduced only about 15 years ago, these devices cram some of human kind’s most advanced materials, electronics, electromagnetics, sensors, communications, signal processing, computing, and imaging technologies into packages so small as to be nearly unimaginable even 20 years ago. When combined with ubiquitous internet supplied by cellular and wi-fi data connections, they have helped to reshape how individuals spend their time and attention, how education, medicine, banking, and business are carried out, and overall, how societies function. This course uses your Smartphone as a launching point for student-led explorations into the science, technology and engineering of smart mobile devices as well as how they are affecting societies in the US and internationally in terms of issues like material resources, sustainability, equity, ethics and social justice. This course will also help develop skills and habits of applying quantification and comparison to develop perspective on and make decisions about complex societal questions. We will use 5G and 6G technologies as examples, but these skills apply to other complex issues as well. The course invites curious explorers from across campus to collaboratively answer these questions and more.

ECE 1030 - 001 Your Smartphone

  • Class Number: 19526
  • Instructor: FURSE, CYNTHIA
  • Instructor: SCARPULLA, MIKE A
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Wait List: No
  • Seats Available: 10

Portable electronics, especially smartphones, are arguably the technologies that have had the greatest impact on the life and experience of individuals and society in the 21st century. Introduced only about 15 years ago, these devices cram some of human kind’s most advanced materials, electronics, electromagnetics, sensors, communications, signal processing, computing, and imaging technologies into packages so small as to be nearly unimaginable even 20 years ago. When combined with ubiquitous internet supplied by cellular and wi-fi data connections, they have helped to reshape how individuals spend their time and attention, how education, medicine, banking, and business are carried out, and overall, how societies function. This course uses your Smartphone as a launching point for student-led explorations into the science, technology and engineering of smart mobile devices as well as how they are affecting societies in the US and internationally in terms of issues like material resources, sustainability, equity, ethics and social justice. This course will also help develop skills and habits of applying quantification and comparison to develop perspective on and make decisions about complex societal questions. We will use 5G and 6G technologies as examples, but these skills apply to other complex issues as well. The course invites curious explorers from across campus to collaboratively answer these questions and more.

ECE 1050 - 001 Matlab for ECE Design


This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 001 Matlab for ECE Design

  • Class Number: 10925
  • Instructor: VERKLER, AMY
  • Component: Lecture
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 12

This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 002 Matlab for ECE Design


This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 002 Matlab for ECE Design

  • Class Number: 10938
  • Instructor: VERKLER, AMY
  • Component: Lecture
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 003 Matlab for ECE Design


This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 003 Matlab for ECE Design

  • Class Number: 10939
  • Instructor: VERKLER, AMY
  • Component: Lecture
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 8

This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 004 Matlab for ECE Design


This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 004 Matlab for ECE Design

  • Class Number: 10940
  • Instructor: VERKLER, AMY
  • Component: Lecture
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

This is the Matlab section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1245 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1050 - 005 Matlab for ECE Design

ECE 1050 - 005 Matlab for ECE Design

  • Class Number: 13256
  • Instructor: VERKLER, AMY
  • Component: Lecture
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

ECE 1050 - 006 Matlab for ECE Design


This class meets August 14-18 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 1050 - 006 Matlab for ECE Design

  • Class Number: 16910
  • Instructor: RASMUSSEN, ANGELA
  • Component: Lecture
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 9

This class meets August 14-18 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 1240 - 001 Circuits&Systems: Intro

ECE 1240 - 001 Circuits&Systems: Intro

  • Class Number: 8386
  • Instructor: VERKLER, AMY
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 7

ECE 1245 - 001 Circuits&Sys Lab: Intro


This is the laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 001 Circuits&Sys Lab: Intro

  • Class Number: 10926
  • Instructor: VERKLER, AMY
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 8

This is the laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 002 Circuits&Sys Lab: Intro


This is the laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 002 Circuits&Sys Lab: Intro

  • Class Number: 10941
  • Instructor: VERKLER, AMY
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 1

This is the laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 003 Circuits&Sys Lab: Intro


This is the laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 003 Circuits&Sys Lab: Intro

  • Class Number: 10942
  • Instructor: VERKLER, AMY
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 13

This is the laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 004 Circuits&Sys Lab: Intro


This is the laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 004 Circuits&Sys Lab: Intro

  • Class Number: 10943
  • Instructor: VERKLER, AMY
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 0

This is the laboratory section for ECE 1240. If you have not taken this course before, you will also need to sign up for a section of ECE 1050 and the lecture ECE 1240 as co-requisites. It is highly recommended that students register for the same section number for ECE 1050 and ECE 1245 since they will be held consecutively.

ECE 1245 - 005 Circuits&Sys Lab: Intro

ECE 1245 - 005 Circuits&Sys Lab: Intro

  • Class Number: 13257
  • Instructor: VERKLER, AMY
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 0

ECE 1245 - 006 Circuits&Sys Lab: Intro


This class meets August 14-18 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 1245 - 006 Circuits&Sys Lab: Intro

  • Class Number: 16911
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 0.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 8

This class meets August 14-18 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 1900 - 001 Intro to ECE

ECE 1900 - 001 Intro to ECE

  • Class Number: 13115
  • Instructor: DAVIES, JON
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Wait List: No
  • Fees: $115.00
  • Seats Available: 0

ECE 1900 - 002 Intro to ECE

ECE 1900 - 002 Intro to ECE

  • Class Number: 18756
  • Instructor: DAVIES, JON
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Wait List: No
  • Fees: $115.00
  • Seats Available: 2

ECE 1900 - 003 Intro to ECE

ECE 1900 - 003 Intro to ECE

  • Class Number: 18755
  • Instructor: DAVIES, JON
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Wait List: No
  • Fees: $115.00
  • Seats Available: 8

ECE 1900 - 004 Intro to ECE

ECE 1900 - 004 Intro to ECE

  • Class Number: 20171
  • Instructor: DAVIES, JON
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Wait List: No
  • Fees: $115.00
  • Seats Available: 5

ECE 2200 - 001 El/CP En Civil Engin


Sections 4, 5, 7, and 8 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. This class meets with ECE 2210-001 for the first half of the semester. Please fill out the Registration Permission Code request form found on the ECE Dept. website at http://www.ece.utah.edu/ if you cannot add the class because it is full.

ECE 2200 - 001 El/CP En Civil Engin

  • Class Number:
  • Instructor: STOLP, ARN
  • Component: Lecture
  • Type: In Person
  • Units: 1.5
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 6

Sections 4, 5, 7, and 8 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. This class meets with ECE 2210-001 for the first half of the semester. Please fill out the Registration Permission Code request form found on the ECE Dept. website at http://www.ece.utah.edu/ if you cannot add the class because it is full.

ECE 2200 - 004 El/CP En Civil Engin

ECE 2200 - 004 El/CP En Civil Engin

  • Class Number: 11182
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 0

ECE 2200 - 005 El/CP En Civil Engin

ECE 2200 - 005 El/CP En Civil Engin

  • Class Number: 9877
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 6

ECE 2200 - 007 El/CP En Civil Engin

ECE 2200 - 007 El/CP En Civil Engin

  • Class Number: 11578
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 0

ECE 2200 - 008 El/CP En Civil Engin

ECE 2200 - 008 El/CP En Civil Engin

  • Class Number: 12352
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 0

ECE 2200 - 009 El/CP En Civil Engin

ECE 2200 - 009 El/CP En Civil Engin

  • Class Number: 14560
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $17.50
  • Seats Available: 0

ECE 2210 - 001 El/CP En For Nonmajors


Sections 2 - 7 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. This class meets with ECE 2200-001 for the first half of the semester. Please fill out the Registration Permission Code request form found on the ECE Dept. website at http://www.ece.utah.edu/ if you cannot add the class because it is full. This is a split attendance class, where students will be assigned to attend one or more of the times listed in the schedule. Students will receive additional content through technology.

ECE 2210 - 001 El/CP En For Nonmajors

  • Class Number:
  • Instructor: STOLP, ARN
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 23

Sections 2 - 7 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. This class meets with ECE 2200-001 for the first half of the semester. Please fill out the Registration Permission Code request form found on the ECE Dept. website at http://www.ece.utah.edu/ if you cannot add the class because it is full. This is a split attendance class, where students will be assigned to attend one or more of the times listed in the schedule. Students will receive additional content through technology.

ECE 2210 - 002 El/CP En For Nonmajors

ECE 2210 - 002 El/CP En For Nonmajors

  • Class Number: 2526
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 6

ECE 2210 - 003 El/CP En For Nonmajors

ECE 2210 - 003 El/CP En For Nonmajors

  • Class Number: 2527
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 0

ECE 2210 - 004 El/CP En For Nonmajors

ECE 2210 - 004 El/CP En For Nonmajors

  • Class Number: 8553
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 13

ECE 2210 - 005 El/CP En For Nonmajors

ECE 2210 - 005 El/CP En For Nonmajors

  • Class Number: 9835
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 1

ECE 2210 - 006 El/CP En For Nonmajors

ECE 2210 - 006 El/CP En For Nonmajors

  • Class Number: 11517
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 1

ECE 2210 - 009 El/CP En For Nonmajors

ECE 2210 - 009 El/CP En For Nonmajors

  • Class Number: 13338
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 1

ECE 2210 - 010 El/CP En For Nonmajors

ECE 2210 - 010 El/CP En For Nonmajors

  • Class Number: 14628
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 1

ECE 2240 - 001 Circuits&Systems:Linear


This course requires registration for a lab section, ECE 2245. Students must register for both the lecture, ECE 2240, and the lab, ECE 2245, to meet co-requisites.

ECE 2240 - 001 Circuits&Systems:Linear

  • Class Number: 1235
  • Instructor: RASMUSSEN, ANGELA
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 69

This course requires registration for a lab section, ECE 2245. Students must register for both the lecture, ECE 2240, and the lab, ECE 2245, to meet co-requisites.

ECE 2245 - 001 Circuits&Sys Lab:Linear

ECE 2245 - 001 Circuits&Sys Lab:Linear

  • Class Number: 14112
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 0

ECE 2245 - 003 Circuits&Sys Lab:Linear

ECE 2245 - 003 Circuits&Sys Lab:Linear

  • Class Number: 14114
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: -1

ECE 2245 - 004 Circuits&Sys Lab:Linear

ECE 2245 - 004 Circuits&Sys Lab:Linear

  • Class Number: 14115
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 1

ECE 2245 - 005 Circuits&Sys Lab:Linear

ECE 2245 - 005 Circuits&Sys Lab:Linear

  • Class Number: 14116
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 9

ECE 2245 - 006 Circuits&Sys Lab:Linear


This class meets August 14-18 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 2245 - 006 Circuits&Sys Lab:Linear

  • Class Number: 16968
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 8

This class meets August 14-18 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 2280 - 001 Circuits&Systems:Active


This course requires a corequisite with an ECE 2285 section which is the lab section for this course. Make sure to signup first for ECE 2285 before signing up for ECE 2280. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 2280 - 001 Circuits&Systems:Active

  • Class Number: 14137
  • Instructor: YOUNG, DARRIN J
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $42.35
  • Seats Available: 14

This course requires a corequisite with an ECE 2285 section which is the lab section for this course. Make sure to signup first for ECE 2285 before signing up for ECE 2280. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 2285 - 001 Circuits&Sys Lab:Active


This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280.

ECE 2285 - 001 Circuits&Sys Lab:Active

  • Class Number: 14110
  • Instructor: YOUNG, DARRIN J
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 13

This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280.

ECE 2285 - 002 Circuits&Sys Lab:Active


This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280.

ECE 2285 - 002 Circuits&Sys Lab:Active

  • Class Number: 14111
  • Instructor: YOUNG, DARRIN J
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 12

This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280.

ECE 2285 - 003 Circuits&Sys Lab:Active


This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280.

ECE 2285 - 003 Circuits&Sys Lab:Active

  • Class Number: 14132
  • Instructor: YOUNG, DARRIN J
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 11

This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280.

ECE 2285 - 004 Circuits&Sys Lab:Active


This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280

ECE 2285 - 004 Circuits&Sys Lab:Active

  • Class Number: 15781
  • Instructor: YOUNG, DARRIN J
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 2

This is the required laboratory component for ECE 2280. Students need to register for both ECE 2285 and ECE 2280

ECE 2285 - 006 Circuits&Sys Lab:Active


This class meets August 14-18 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 2285 - 006 Circuits&Sys Lab:Active

  • Class Number: 16969
  • Instructor: RASMUSSEN, ANGELA
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $35.00
  • Seats Available: 9

This class meets August 14-18 from 8 am-5 pm. Students are required to attend each class session until all lab work is complete. Please email Angela.rasmussen@utah.edu with questions. To determine the last day to drop this miscellaneous course, see http://registrar.utah.edu/handbook/miscellaneous.php. The following prerequisites are required: (ECE 1240 prerequisite for ECE 1245 and ECE 1050; ECE 2240 prerequisite for ECE 2245; ECE 3300 prerequisite for ECE 3305).

ECE 3030 - 001 Comms & Wrtg for Engrs


This is a split attendance class, where students will be assigned to attend one or more of the times listed in the schedule. Students will receive additional content through technology.

ECE 3030 - 001 Comms & Wrtg for Engrs

  • Class Number: 8509
  • Instructor: LENART, JOSHUA
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 33

This is a split attendance class, where students will be assigned to attend one or more of the times listed in the schedule. Students will receive additional content through technology.

ECE 3030 - 002 Comms & Wrtg for Engrs

ECE 3030 - 002 Comms & Wrtg for Engrs

  • Class Number: 20359
  • Instructor: LERNER, EVAN
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 42

ECE 3200 - 002 Intro Semicond Phys

ECE 3200 - 002 Intro Semicond Phys

  • Class Number: 14117
  • Instructor: FU, KAI
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 8

ECE 3300 - 002 Fund Electromagnetics


This is the lecture section, please also sign up for 3305 lab section. This is a Hybrid course, which uses a mixture of online, face-to-face, and technology enhanced instruction. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3300 - 002 Fund Electromagnetics

  • Class Number: 14109
  • Instructor: GAO, WEILU
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $29.18
  • Seats Available: 10

This is the lecture section, please also sign up for 3305 lab section. This is a Hybrid course, which uses a mixture of online, face-to-face, and technology enhanced instruction. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 001 Fund Electromag Lab


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 001 Fund Electromag Lab

  • Class Number: 12962
  • Instructor: GAO, WEILU
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $79.18
  • Seats Available: 7

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 002 Fund Electromag Lab


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 002 Fund Electromag Lab

  • Class Number: 15674
  • Instructor: GAO, WEILU
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $79.18
  • Seats Available: 5

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 004 Fund Electromag Lab


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 004 Fund Electromag Lab

  • Class Number: 12964
  • Instructor: GAO, WEILU
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $79.18
  • Seats Available: 8

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 005 Fund Electromag Lab


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 005 Fund Electromag Lab

  • Class Number: 13211
  • Instructor: GAO, WEILU
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $79.18
  • Seats Available: 4

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3305 - 006 Fund Electromag Lab


This class meets August 14-18 from 8am-5pm. Students are required to attend each class session until all lab work is complete. To determine the last day to drop this miscellaneous course, see htpp://registrar.utah.edu/handbook/miscellaneous.php. Corequisites: 'C-' or better is ECE 3300.

ECE 3305 - 006 Fund Electromag Lab

  • Class Number: 19010
  • Instructor: GAO, WEILU
  • Component: Laboratory
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $79.18
  • Seats Available: 9

This class meets August 14-18 from 8am-5pm. Students are required to attend each class session until all lab work is complete. To determine the last day to drop this miscellaneous course, see htpp://registrar.utah.edu/handbook/miscellaneous.php. Corequisites: 'C-' or better is ECE 3300.

ECE 3500 - 001 Fund Signals/Systems


All videos of this course including lectures, homework, quizzes, labs, etc, will be available online

ECE 3500 - 001 Fund Signals/Systems

  • Class Number:
  • Instructor: JI, MINGYUE
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $45.00
  • Seats Available: 13

All videos of this course including lectures, homework, quizzes, labs, etc, will be available online

ECE 3500 - 002 Fund Signals/Systems

ECE 3500 - 002 Fund Signals/Systems

  • Class Number: 1470
  • Instructor: JI, MINGYUE
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

ECE 3500 - 003 Fund Signals/Systems

ECE 3500 - 003 Fund Signals/Systems

  • Class Number: 4011
  • Instructor: JI, MINGYUE
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

ECE 3500 - 004 Fund Signals/Systems

ECE 3500 - 004 Fund Signals/Systems

  • Class Number: 4404
  • Instructor: JI, MINGYUE
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

ECE 3530 - 001 Eng Prob Stats

ECE 3530 - 001 Eng Prob Stats

  • Class Number: 19905
  • Instructor: XIANG, YU
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

ECE 3530 - 003 Eng Prob Stats

ECE 3530 - 003 Eng Prob Stats

  • Class Number: 16023
  • Instructor: CHEN, RONG-RONG
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: -2

ECE 3600 - 001 Intro to Elec Eng Power

ECE 3600 - 001 Intro to Elec Eng Power

  • Class Number:
  • Instructor: STOLP, ARN
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $50.00
  • Seats Available: 28

ECE 3600 - 002 Intro to Elec Eng Power

ECE 3600 - 002 Intro to Elec Eng Power

  • Class Number: 6192
  • Instructor: STOLP, ARN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $50.00
  • Seats Available: 4

ECE 3700 - 001 Digital System Design


https://www.amazon.com/Fundamentals-Digital-Logic-Verilog-Design/dp/0073380547

ECE 3700 - 001 Digital System Design

  • Class Number:
  • Instructor: TAJALLI, ARMIN
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $60.00
  • Seats Available: 0

https://www.amazon.com/Fundamentals-Digital-Logic-Verilog-Design/dp/0073380547

ECE 3700 - 002 Digital System Design

ECE 3700 - 002 Digital System Design

  • Class Number: 12617
  • Instructor: TAJALLI, ARMIN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $60.00
  • Seats Available: 2

ECE 3700 - 004 Digital System Design

ECE 3700 - 004 Digital System Design

  • Class Number: 14313
  • Instructor: TAJALLI, ARMIN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $60.00
  • Seats Available: 5

ECE 3700 - 005 Digital System Design

ECE 3700 - 005 Digital System Design

  • Class Number: 14312
  • Instructor: TAJALLI, ARMIN
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $60.00
  • Seats Available: 7

ECE 3710 - 001 Computer Design Lab


Laboratories scheduled first week of class.

ECE 3710 - 001 Computer Design Lab

  • Class Number: 3416
  • Instructor: BAIRD, RICH
  • Instructor: STEVENS, KENNETH S
  • Component: Laboratory
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $60.00
  • Seats Available: 4

Laboratories scheduled first week of class.

ECE 3740 - 002 Intro To Quantum & Rel


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3740 - 002 Intro To Quantum & Rel

  • Class Number: 16055
  • Instructor: ZOLLINGER, RHETT
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $70.58
  • Seats Available: 2

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 3810 - 002 Computer Organization

ECE 3810 - 002 Computer Organization

  • Class Number: 13110
  • Instructor: KOPTA, DANIEL
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 8

ECE 3900 - 001 Junior Seminar

ECE 3900 - 001 Junior Seminar

  • Class Number: 16192
  • Instructor: DAVIES, JON
  • Component: Seminar
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 54

ECE 3970 - 008 Undergraduate Research

ECE 3970 - 008 Undergraduate Research

  • Class Number: 11258
  • Instructor: KIM, HANSEUP
  • Component: Independent Study
  • Type: In Person
  • Units: 1.0 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

ECE 3970 - 022 Undergraduate Research

ECE 3970 - 022 Undergraduate Research

  • Class Number: 14949
  • Instructor: RASMUSSEN, ANGELA
  • Component: Independent Study
  • Type: In Person
  • Units: 1.0 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

ECE 3970 - 023 Undergraduate Research

ECE 3970 - 023 Undergraduate Research

  • Class Number: 16894
  • Instructor: DREW, DANIEL S
  • Component: Independent Study
  • Type: In Person
  • Units: 1.0 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

ECE 3970 - 024 Undergraduate Research

ECE 3970 - 024 Undergraduate Research

  • Class Number: 16895
  • Instructor: YOUNG, DARRIN J
  • Component: Independent Study
  • Type: In Person
  • Units: 1.0 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

ECE 3970 - 025 Undergraduate Research

ECE 3970 - 025 Undergraduate Research

  • Class Number: 17174
  • Instructor: ARDAKANI, MOSTAFA
  • Component: Independent Study
  • Type: In Person
  • Units: 1.0 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 0

ECE 3970 - 026 Undergraduate Research

ECE 3970 - 026 Undergraduate Research

  • Class Number: 20350
  • Instructor: SANCHEZ TERRONES, BENJAMIN
  • Component: Independent Study
  • Type: In Person
  • Units: 1.0 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

ECE 3970 - 027 Undergraduate Research

ECE 3970 - 027 Undergraduate Research

  • Class Number: 20893
  • Instructor: PARVANIA, MASOOD
  • Component: Independent Study
  • Type: In Person
  • Units: 1.0 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

ECE 3970 - 028 Undergraduate Research

ECE 3970 - 028 Undergraduate Research

  • Class Number: 20939
  • Instructor: SOLZBACHER, FLORIAN
  • Component: Independent Study
  • Type: In Person
  • Units: 1.0 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 0

ECE 3980 - 090 Independent Project

ECE 3980 - 090 Independent Project

  • Class Number: 11927
  • Instructor: DAVIES, JON
  • Instructor: RASMUSSEN, ANGELA
  • Component: Special Topics
  • Type: Online
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 8

ECE 3990 - 090 Cooperative Educ


Students are expected to attend their internships as contracted with their employers. https://www.ece.utah.edu/co-op-internship

ECE 3990 - 090 Cooperative Educ

  • Class Number: 1480
  • Instructor: RASMUSSEN, ANGELA
  • Component: Practicum
  • Type: Online
  • Units: 1.0 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: -7

Students are expected to attend their internships as contracted with their employers. https://www.ece.utah.edu/co-op-internship

ECE 3991 - 001 CE Junior Seminar

ECE 3991 - 001 CE Junior Seminar

  • Class Number: 4200
  • Instructor: BERZINS, MARTIN
  • Instructor: CARP, SHERI L
  • Component: Seminar
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

ECE 4710 - 001 Comptr Eng Sr Project

ECE 4710 - 001 Comptr Eng Sr Project

  • Class Number: 3770
  • Instructor: BRUNVAND, ERIK
  • Component: Special Projects
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

ECE 4900 - 001 Senior Thesis I


Students will be meeting in person during the lecture periods, and they will also be arranging weekly days/times/locations to meet with their assigned project groups and instructor. Students are expected to arrange a minimum of 12 hours/week to their project work. This time commitment will be set as a contract at the beginning of the semester.

ECE 4900 - 001 Senior Thesis I

  • Class Number: 1239
  • Instructor: DAVIES, JON
  • Component: Special Projects
  • Type: Hybrid
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $50.00
  • Seats Available: 21

Students will be meeting in person during the lecture periods, and they will also be arranging weekly days/times/locations to meet with their assigned project groups and instructor. Students are expected to arrange a minimum of 12 hours/week to their project work. This time commitment will be set as a contract at the beginning of the semester.

ECE 4900 - 002 Senior Thesis I

ECE 4900 - 002 Senior Thesis I

  • Class Number: 20640
  • Instructor: DAVIES, JON
  • Component: Special Projects
  • Type: Hybrid
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $50.00
  • Seats Available: 63

ECE 4910 - 001 Senior Thesis II

ECE 4910 - 001 Senior Thesis II

  • Class Number: 13285
  • Instructor: DAVIES, JON
  • Component: Special Projects
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $50.00
  • Seats Available: -2

ECE 4991 - 001 CE Senior Thesis I

ECE 4991 - 001 CE Senior Thesis I

  • Class Number: 4201
  • Instructor: STEVENS, KENNETH S
  • Component: Special Projects
  • Type: In Person
  • Units: 2.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 25

ECE 4992 - 001 CE Senior Thesis II

ECE 4992 - 001 CE Senior Thesis II

  • Class Number: 15875
  • Instructor: STEVENS, KENNETH S
  • Component: Special Projects
  • Type: In Person
  • Units: 2.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

ECE 4998 - 001 Senior Honors Thesis I

ECE 4998 - 001 Senior Honors Thesis I

  • Class Number: 19206
  • Instructor: DAVIES, JON
  • Component: Honors Thesis Project
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $50.00
  • Seats Available: 2

ECE 5201 - 001 Phys of Nano-Elec Dev


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5201 - 001 Phys of Nano-Elec Dev

  • Class Number: 10864
  • Instructor: TABIB-AZAR, MASSOOD
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $32.94
  • Seats Available: 28

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5201 - 090 Phys of Nano-Elec Dev


This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5201 - 090 Phys of Nano-Elec Dev

  • Class Number: 10347
  • Instructor: TABIB-AZAR, MASSOOD
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $32.94
  • Seats Available: 15

This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5221 - 001 Micromachining


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5221 - 001 Micromachining

  • Class Number:
  • Instructor: WARREN, ROSEANNE
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $150.00
  • Seats Available: 2

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5221 - 002 Micromachining

ECE 5221 - 002 Micromachining

  • Class Number: 13526
  • Instructor: WARREN, ROSEANNE
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $150.00
  • Seats Available: 2

ECE 5231 - 001 Microsensors


T, Th 2pm-3:20 in MEB 2109

ECE 5231 - 001 Microsensors

  • Class Number:
  • Instructor: KIM, HANSEUP
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $126.00
  • Seats Available: 2

T, Th 2pm-3:20 in MEB 2109

ECE 5231 - 002 Microsensors


LAB is Nanofab is mandatory

ECE 5231 - 002 Microsensors

  • Class Number: 19127
  • Instructor: KIM, HANSEUP
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $126.00
  • Seats Available: 2

LAB is Nanofab is mandatory

ECE 5255 - 001 eMicroscopy for SMD

ECE 5255 - 001 eMicroscopy for SMD

  • Class Number: 18393
  • Instructor: YOON, HEAYOUNG
  • Component: Lab/ Discussion
  • Type: In Person
  • Units: 3.0
  • Wait List: No
  • Fees: $135.00
  • Seats Available: 1

ECE 5320 - 001 Microwave Eng I


Sections 2 - 3 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5320 - 001 Microwave Eng I

  • Class Number:
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $108.53
  • Seats Available: 16

Sections 2 - 3 belong to this lecture. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5320 - 002 Microwave Eng I


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5320 - 002 Microwave Eng I

  • Class Number: 4637
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $108.53
  • Seats Available: 7

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5320 - 003 Microwave Eng I


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5320 - 003 Microwave Eng I

  • Class Number: 5400
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $108.53
  • Seats Available: 11

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

In this class, we will study the exciting intersection of optics and the engineering challenges associated with generation, distribution and utilization of energy through the lens of innovation and commercialization. Technically, we will cover the basics of non-imaging optics, which will allow us to apply these concepts to the design of optical sub-systems for applications including solar concentrators, solar thermal systems, solar cooling, desalination, daylighting, etc. We will also study the science and engineering of sunlight measurement, strategies of light management for solar cells, resource recycling, as well as learn about exciting new technologies brewing in labs around the world. The class is offered with maximum flexibility with in-person, IVC and fully-online options. A huge motivation to learn, and to apply your technical skills to address one of the seminal challenges of our time is expected. Pre-requisite: approval of instructor if you are outside of College of Engineering. The course counts towards Environmental & Sustainability Studies majors (undergraduates), and the Interdisciplinary graduate certificates in Sustainability (graduate students). Find details here.
  • Class Number: 10376
  • Instructor: MENON, RAJESH
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Wait List: Yes
  • Seats Available: 14

In this class, we will study the exciting intersection of optics and the engineering challenges associated with generation, distribution and utilization of energy through the lens of innovation and commercialization. Technically, we will cover the basics of non-imaging optics, which will allow us to apply these concepts to the design of optical sub-systems for applications including solar concentrators, solar thermal systems, solar cooling, desalination, daylighting, etc. We will also study the science and engineering of sunlight measurement, strategies of light management for solar cells, resource recycling, as well as learn about exciting new technologies brewing in labs around the world. The class is offered with maximum flexibility with in-person, IVC and fully-online options. A huge motivation to learn, and to apply your technical skills to address one of the seminal challenges of our time is expected. Pre-requisite: approval of instructor if you are outside of College of Engineering. The course counts towards Environmental & Sustainability Studies majors (undergraduates), and the Interdisciplinary graduate certificates in Sustainability (graduate students). Find details here.

This section is open to ECE, MSE and ME EN students who wish to take an IVC section
  • Class Number: 14122
  • Instructor: MENON, RAJESH
  • Component: Lecture
  • Type: Interactive Video Conferencing
  • Units: 3.0
  • Wait List: No
  • Seats Available: 14

This section is open to ECE, MSE and ME EN students who wish to take an IVC section

This section is open to ECE, MSE and ME EN students who wish to take an online section
  • Class Number: 14121
  • Instructor: MENON, RAJESH
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Wait List: No
  • Seats Available: 2

This section is open to ECE, MSE and ME EN students who wish to take an online section

ECE 5350 - 001 Comp EM w/ Comm Solvers

ECE 5350 - 001 Comp EM w/ Comm Solvers

  • Class Number: 8025
  • Instructor: SCHURIG, DAVID A
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 8

ECE 5360 - 001 Bioinstrumentation

ECE 5360 - 001 Bioinstrumentation

  • Class Number: 15802
  • Instructor: SANCHEZ TERRONES, BENJAMIN
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Wait List: No
  • Seats Available: 6

ECE 5410 - 001 Optics I


“The invention of lasers sets the arguably most important milestone in broad areas of photonics and optoelectronics. Their invention has far-reaching implications not only on the advancement of fundamental studies of light-matter interaction but also on the creation of a countless number of applications, spanning both well-develop areas including optical communications and sensing, medical imaging and diagnostics, data storage and retrieval, and emerging technologies such as virtual reality, optical artificial intelligence accelerators, and optical quantum computing. This is an introductory lecture/laboratory course in photonics and optoelectronics. The main emphasis of the course is to provide a knowledge base in photonics and optoelectronics to understand, design, and use optical systems for a variety of applications via the understanding of the generation, modulation, propagation, and detection of coherent light. Some knowledge in electromagnetics is assumed, but background specifically pertaining to photonics will be covered throughout. This course also provides the necessary background for other optics courses. A few hands-on simulation labs/projects will be included.” The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5410 - 001 Optics I

  • Class Number: 11844
  • Instructor: BLAIR, STEVE
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $103.53
  • Seats Available: 4

“The invention of lasers sets the arguably most important milestone in broad areas of photonics and optoelectronics. Their invention has far-reaching implications not only on the advancement of fundamental studies of light-matter interaction but also on the creation of a countless number of applications, spanning both well-develop areas including optical communications and sensing, medical imaging and diagnostics, data storage and retrieval, and emerging technologies such as virtual reality, optical artificial intelligence accelerators, and optical quantum computing. This is an introductory lecture/laboratory course in photonics and optoelectronics. The main emphasis of the course is to provide a knowledge base in photonics and optoelectronics to understand, design, and use optical systems for a variety of applications via the understanding of the generation, modulation, propagation, and detection of coherent light. Some knowledge in electromagnetics is assumed, but background specifically pertaining to photonics will be covered throughout. This course also provides the necessary background for other optics courses. A few hands-on simulation labs/projects will be included.” The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5510 - 001 Random Process

ECE 5510 - 001 Random Process

  • Class Number: 16891
  • Instructor: Zhou, Yi
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 17

ECE 5510 - 090 Random Process

ECE 5510 - 090 Random Process

  • Class Number: 1241
  • Instructor: Zhou, Yi
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 18

ECE 5530 - 001 Digital Signal Process

ECE 5530 - 001 Digital Signal Process

  • Class Number: 18640
  • Instructor: NATEGH, NEDA
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 27

ECE 5610 - 001 Power Electronics Fund

ECE 5610 - 001 Power Electronics Fund

  • Class Number:
  • Instructor: ARDAKANI, MOSTAFA
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $111.18
  • Seats Available: 8

ECE 5610 - 004 Power Electronics Fund

ECE 5610 - 004 Power Electronics Fund

  • Class Number: 19393
  • Instructor: ARDAKANI, MOSTAFA
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $111.18
  • Seats Available: 8
  • Class Number: 15886
  • Instructor: HOLLERBACH, JOHN
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 20
  • Class Number: 12883
  • Instructor: BODSON, MARC
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/
  • Class Number: 12884
  • Instructor: BODSON, MARC
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/

ECE 5680 - 001 Elec Forensics & Failur

ECE 5680 - 001 Elec Forensics & Failur

  • Class Number: 18391
  • Instructor: PALMER, JOHN A
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 9

ECE 5710 - 001 Digital VLSI Design


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login This course has a self paced, non time specific, section in the CADE lab.

ECE 5710 - 001 Digital VLSI Design

  • Class Number: 16096
  • Instructor: GAILLARDON, PIERRE-EMMANUEL J
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: Yes
  • Fees: $62.94
  • Seats Available: 17

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login This course has a self paced, non time specific, section in the CADE lab.

ECE 5720 - 001 Fund. Analog IC Design


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5720 - 001 Fund. Analog IC Design

  • Class Number: 11306
  • Instructor: TAJALLI, ARMIN
  • Component: Lecture
  • Type: Interactive Video Conferencing
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 16

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 5745 - 001 Test/Verif Digital Ckts

ECE 5745 - 001 Test/Verif Digital Ckts

  • Class Number: 18387
  • Instructor: KALLA, PRIYANK
  • Component: Activity
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

ECE 5755 - 001 Async Circuit Design

ECE 5755 - 001 Async Circuit Design

  • Class Number: 18390
  • Instructor: STEVENS, KENNETH S
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Wait List: No
  • Seats Available: 4

ECE 5960 - 001 TA Training

ECE 5960 - 001 TA Training

  • Class Number: 17038
  • Instructor: VERKLER, AMY
  • Component: Special Topics
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 3

ECE 5960 - 002 Convex Optimization


Convex Optimization This course will introduce fundamental theory, main stream contemporary methods and algorithms of convex constrained optimization. This is a course designed for engineering students – it is primarily concerned with constrained numerical optimization techniques as applied to various engineering problems. Through assignments and course project, students will get hands-on experience of using MATLAB + cvx to realize existing algorithms and design new programming approaches. Topics Covered in This Course include 1. Standard forms of unconstrained optimization problems 2. Steepest-descent methods 3. Newton methods 4. Standard forms of constrained optimization problems 5. Lagrange multipliers 6. Karush-Kuhn-Tucker (KKT) conditions 7. Convexity and duality 8. Linear programming 9. Quadratic programming 10. Semidefinite programming 11. Second-order cone programming 12. Optimization of non-differentiable problems 13. L1-L2 minimization 14. Alternating direction method of multipliers (ADMM)

ECE 5960 - 002 Convex Optimization

  • Class Number: 18395
  • Instructor: Liu, Mingxi
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 7

Convex Optimization This course will introduce fundamental theory, main stream contemporary methods and algorithms of convex constrained optimization. This is a course designed for engineering students – it is primarily concerned with constrained numerical optimization techniques as applied to various engineering problems. Through assignments and course project, students will get hands-on experience of using MATLAB + cvx to realize existing algorithms and design new programming approaches. Topics Covered in This Course include 1. Standard forms of unconstrained optimization problems 2. Steepest-descent methods 3. Newton methods 4. Standard forms of constrained optimization problems 5. Lagrange multipliers 6. Karush-Kuhn-Tucker (KKT) conditions 7. Convexity and duality 8. Linear programming 9. Quadratic programming 10. Semidefinite programming 11. Second-order cone programming 12. Optimization of non-differentiable problems 13. L1-L2 minimization 14. Alternating direction method of multipliers (ADMM)

ECE 5960 - 004 Special Topics


The Lean Canvas for Invention (LCI) helps researchers think through a key research problem and its most valuable research questions, and plan and implement both their joint and individual research and career trajectories. The class has three major areas -- research and innovation development, career development, and mentoring development. In the research and innovation section, students will review traditional scientific literature as well as patent literature and business reviews in a research area of their choosing. Students will develop an individual career development plan (IDP), and identify key career development goals, skills, and milestones. This will include the development of a mentoring network. Students will begin personal interactions with key stakeholders in their area for support in innovation, career development, and mentoring. Students will leave the class with a formal framework for research, career, and mentor development.

ECE 5960 - 004 Special Topics

  • Class Number: 18911
  • Instructor: FURSE, CYNTHIA
  • Component: Special Topics
  • Type: In Person
  • Units: 0.5 - 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 15

The Lean Canvas for Invention (LCI) helps researchers think through a key research problem and its most valuable research questions, and plan and implement both their joint and individual research and career trajectories. The class has three major areas -- research and innovation development, career development, and mentoring development. In the research and innovation section, students will review traditional scientific literature as well as patent literature and business reviews in a research area of their choosing. Students will develop an individual career development plan (IDP), and identify key career development goals, skills, and milestones. This will include the development of a mentoring network. Students will begin personal interactions with key stakeholders in their area for support in innovation, career development, and mentoring. Students will leave the class with a formal framework for research, career, and mentor development.

Power and Energy Systems: Economics and Operation
  • Class Number: 18708
  • Instructor: PARVANIA, MASOOD
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 0

Power and Energy Systems: Economics and Operation

ECE 5960 - 011 Special Topics


Mathematical tools for neural data analysis and modeling. The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology.

ECE 5960 - 011 Special Topics

  • Class Number: 12822
  • Instructor: NATEGH, NEDA
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0 - 4.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 7

Mathematical tools for neural data analysis and modeling. The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology.

ECE 5960 - 022 Special Topics

ECE 5960 - 022 Special Topics

  • Class Number: 19222
  • Instructor: SNELGROVE, ASHTON
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

ECE 5960 - 023 Special Topics


Solid State Memory: This is the Undergraduate section of ECE 6273.

ECE 5960 - 023 Special Topics

  • Class Number: 20146
  • Instructor: MASTRANGELO, CARLOS H
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 28

Solid State Memory: This is the Undergraduate section of ECE 6273.

ECE 5960 - 090 Special Topics


Mathematical tools for neural data analysis and modeling The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology.

ECE 5960 - 090 Special Topics

  • Class Number: 13165
  • Instructor: NATEGH, NEDA
  • Component: Special Topics
  • Type: Online
  • Units: 3.0 - 4.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 9

Mathematical tools for neural data analysis and modeling The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology.

ECE 6221 - 001 Micromachining


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6221 - 001 Micromachining

  • Class Number:
  • Instructor: WARREN, ROSEANNE
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $150.00
  • Seats Available: 7

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6221 - 002 Micromachining

ECE 6221 - 002 Micromachining

  • Class Number: 13528
  • Instructor: WARREN, ROSEANNE
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 7

ECE 6231 - 001 Microsensor


T, Th 2pm-3:20 in MEB 3235

ECE 6231 - 001 Microsensor

  • Class Number:
  • Instructor: KIM, HANSEUP
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $126.00
  • Seats Available: 7

T, Th 2pm-3:20 in MEB 3235

ECE 6231 - 002 Microsensor


LAB time is mandatory

ECE 6231 - 002 Microsensor

  • Class Number: 19128
  • Instructor: KIM, HANSEUP
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $126.00
  • Seats Available: 2

LAB time is mandatory

ECE 6255 - 001 eMicroscopy for SMD

ECE 6255 - 001 eMicroscopy for SMD

  • Class Number: 18394
  • Instructor: YOON, HEAYOUNG
  • Component: Lab/ Discussion
  • Type: In Person
  • Units: 3.0
  • Wait List: Yes
  • Fees: $135.00
  • Seats Available: 0

ECE 6261 - 002 Phys Theory Semicon Dev


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6261 - 002 Phys Theory Semicon Dev

  • Class Number: 14561
  • Instructor: TABIB-AZAR, MASSOOD
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $32.94
  • Seats Available: 3

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6273 - 001 Solid State Memory

ECE 6273 - 001 Solid State Memory

  • Class Number: 19389
  • Instructor: MASTRANGELO, CARLOS H
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 6

ECE 6322 - 001 Microwave Eng I


Sections 2 - 3 belong to this course. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6322 - 001 Microwave Eng I

  • Class Number:
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $108.53
  • Seats Available: 8

Sections 2 - 3 belong to this course. This course requires registration for a lab section. Students will be automatically registered for this lecture section when registering for the pertinent lab section. The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6322 - 002 Microwave Eng I


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6322 - 002 Microwave Eng I

  • Class Number: 5337
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $108.53
  • Seats Available: 3

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6322 - 003 Microwave Eng I


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6322 - 003 Microwave Eng I

  • Class Number: 5686
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Laboratory
  • Type: In Person
  • Units: --
  • Requisites: Yes
  • Wait List: No
  • Fees: $108.53
  • Seats Available: 3

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

In this class, we will study the exciting intersection of optics and the engineering challenges associated with generation, distribution and utilization of energy through the lens of innovation and commercialization. Technically, we will cover the basics of non-imaging optics, which will allow us to apply these concepts to the design of optical sub-systems for applications including solar concentrators, solar thermal systems, solar cooling, desalination, daylighting, etc. We will also study the science and engineering of sunlight measurement, strategies of light management for solar cells, resource recycling, as well as learn about exciting new technologies brewing in labs around the world. The class is offered with maximum flexibility with in-person, IVC and fully-online options. A huge motivation to learn, and to apply your technical skills to address one of the seminal challenges of our time is expected. Pre-requisite: approval of instructor if you are outside of College of Engineering. The course counts towards Environmental & Sustainability Studies majors (undergraduates), and the Interdisciplinary graduate certificates in Sustainability (graduate students). Find details here.
  • Class Number: 10377
  • Instructor: MENON, RAJESH
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 7

In this class, we will study the exciting intersection of optics and the engineering challenges associated with generation, distribution and utilization of energy through the lens of innovation and commercialization. Technically, we will cover the basics of non-imaging optics, which will allow us to apply these concepts to the design of optical sub-systems for applications including solar concentrators, solar thermal systems, solar cooling, desalination, daylighting, etc. We will also study the science and engineering of sunlight measurement, strategies of light management for solar cells, resource recycling, as well as learn about exciting new technologies brewing in labs around the world. The class is offered with maximum flexibility with in-person, IVC and fully-online options. A huge motivation to learn, and to apply your technical skills to address one of the seminal challenges of our time is expected. Pre-requisite: approval of instructor if you are outside of College of Engineering. The course counts towards Environmental & Sustainability Studies majors (undergraduates), and the Interdisciplinary graduate certificates in Sustainability (graduate students). Find details here.

This section is open to ECE, MSE and ME EN students who wish to take an IVC section
  • Class Number: 14123
  • Instructor: MENON, RAJESH
  • Component: Lecture
  • Type: Interactive Video Conferencing
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 0

This section is open to ECE, MSE and ME EN students who wish to take an IVC section

This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/. This section is open to ECE, MSE and ME EN students who wish to take an online section
  • Class Number: 10378
  • Instructor: MENON, RAJESH
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 12

This is an online course, which does not have a specific meeting time or location throughout the semester. For additional information, please visit https://online.utah.edu/about-online-learning/. This section is open to ECE, MSE and ME EN students who wish to take an online section

ECE 6350 - 001 Comp EM w/ Comm Solvers

ECE 6350 - 001 Comp EM w/ Comm Solvers

  • Class Number: 8026
  • Instructor: SCHURIG, DAVID A
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 12

ECE 6360 - 001 Bioinstrumentation

ECE 6360 - 001 Bioinstrumentation

  • Class Number: 15804
  • Instructor: SANCHEZ TERRONES, BENJAMIN
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Wait List: No
  • Seats Available: 6

ECE 6530 - 001 Digital Signal Process

ECE 6530 - 001 Digital Signal Process

  • Class Number: 18638
  • Instructor: NATEGH, NEDA
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 14

ECE 6530 - 090 Digital Signal Process

ECE 6530 - 090 Digital Signal Process

  • Class Number: 18641
  • Instructor: NATEGH, NEDA
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 8

ECE 6532 - 001 Digital Image Proc


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6532 - 001 Digital Image Proc

  • Class Number: 8752
  • Instructor: WHITAKER, ROSS
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Fees: $32.94
  • Seats Available: 7

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6590 - 001 Software Radio

ECE 6590 - 001 Software Radio

  • Class Number: 18639
  • Instructor: FARHANG, BEHROUZ
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 9

ECE 6590 - 090 Software Radio

ECE 6590 - 090 Software Radio

  • Class Number: 19240
  • Instructor: FARHANG, BEHROUZ
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 8
  • Class Number: 16014
  • Instructor: HOLLERBACH, JOHN
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 6654 - 001 Neuro Eng & Neuro Robot


This course is intended for advanced undergraduates and graduate students. Students should have a background in basic biology, basic circuits, and programming in MATLAB.

ECE 6654 - 001 Neuro Eng & Neuro Robot

  • Class Number: 15816
  • Instructor: GEORGE, JAKE
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: Yes
  • Fees: $92.00
  • Seats Available: 12

This course is intended for advanced undergraduates and graduate students. Students should have a background in basic biology, basic circuits, and programming in MATLAB.
  • Class Number: 12885
  • Instructor: BODSON, MARC
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 6
  • Class Number: 12882
  • Instructor: BODSON, MARC
  • Component: Lecture
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

ECE 6680 - 001 Elec Forensics & Failur

ECE 6680 - 001 Elec Forensics & Failur

  • Class Number: 18392
  • Instructor: PALMER, JOHN A
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

ECE 6710 - 001 Digital VLSI Design


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6710 - 001 Digital VLSI Design

  • Class Number: 16097
  • Instructor: GAILLARDON, PIERRE-EMMANUEL J
  • Component: Lecture
  • Type: In Person
  • Units: 4.0
  • Requisites: Yes
  • Wait List: Yes
  • Fees: $62.94
  • Seats Available: 20

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6720 - 001 Fund. Analog IC Design


The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6720 - 001 Fund. Analog IC Design

  • Class Number: 11307
  • Instructor: TAJALLI, ARMIN
  • Component: Lecture
  • Type: Interactive Video Conferencing
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 9

The course fee covers digital course materials through the Inclusive Access program. Students may request to opt out here: https://portal.verba.io/utah/login

ECE 6745 - 001 Test/Verif Digital Ckts

ECE 6745 - 001 Test/Verif Digital Ckts

  • Class Number: 18388
  • Instructor: KALLA, PRIYANK
  • Component: Activity
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

ECE 6755 - 001 Async Circuit Design

ECE 6755 - 001 Async Circuit Design

  • Class Number: 19123
  • Instructor: STEVENS, KENNETH S
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Wait List: No
  • Seats Available: 6

ECE 6810 - 001 Computer Architecture

ECE 6810 - 001 Computer Architecture

  • Class Number: 10865
  • Instructor: NAGARAJAN, VIJAYANAND
  • Component: Lecture
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 13

ECE 6868 - 001 Robotics Grad Seminar

ECE 6868 - 001 Robotics Grad Seminar

  • Class Number: 18573
  • Instructor: DREW, DANIEL S
  • Component: Seminar
  • Type: In Person
  • Units: 1.0
  • Wait List: No
  • Seats Available: 2

ECE 6900 - 002 Graduate Sem

ECE 6900 - 002 Graduate Sem

  • Class Number: 16748
  • Instructor: BLAIR, STEVE
  • Component: Seminar
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 10

ECE 6950 - 001 Special Study-MS


All Graduate students requesting to enroll in ECE 6950 MS Special Study must have approval from an ECE faculty member by completing the form:https://www.ece.utah.edu/wp-content/uploads/2023/03/MS-project-request-form.docx. An Electronic signature from an email is acceptable to complete this form. Please forward this completed form to John.bolke@utah.edu, the ECE Advising coordinator, and he will manually enroll you in the correct section of this course.

ECE 6950 - 001 Special Study-MS

  • Class Number: 4693
  • Component: Special Projects
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

All Graduate students requesting to enroll in ECE 6950 MS Special Study must have approval from an ECE faculty member by completing the form:https://www.ece.utah.edu/wp-content/uploads/2023/03/MS-project-request-form.docx. An Electronic signature from an email is acceptable to complete this form. Please forward this completed form to John.bolke@utah.edu, the ECE Advising coordinator, and he will manually enroll you in the correct section of this course.

ECE 6960 - 001 TA Training

ECE 6960 - 001 TA Training

  • Class Number: 17040
  • Instructor: VERKLER, AMY
  • Component: Special Topics
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 1

ECE 6960 - 002 Convex Optimization


Convex Optimization This course will introduce fundamental theory, main stream contemporary methods and algorithms of convex constrained optimization. This is a course designed for engineering students – it is primarily concerned with constrained numerical optimization techniques as applied to various engineering problems. Through assignments and course project, students will get hands-on experience of using MATLAB + cvx to realize existing algorithms and design new programming approaches. Topics Covered in This Course include 1. Standard forms of unconstrained optimization problems 2. Steepest-descent methods 3. Newton methods 4. Standard forms of constrained optimization problems 5. Lagrange multipliers 6. Karush-Kuhn-Tucker (KKT) conditions 7. Convexity and duality 8. Linear programming 9. Quadratic programming 10. Semidefinite programming 11. Second-order cone programming 12. Optimization of non-differentiable problems 13. L1-L2 minimization 14. Alternating direction method of multipliers (ADMM)

ECE 6960 - 002 Convex Optimization

  • Class Number: 18397
  • Instructor: Liu, Mingxi
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: -1

Convex Optimization This course will introduce fundamental theory, main stream contemporary methods and algorithms of convex constrained optimization. This is a course designed for engineering students – it is primarily concerned with constrained numerical optimization techniques as applied to various engineering problems. Through assignments and course project, students will get hands-on experience of using MATLAB + cvx to realize existing algorithms and design new programming approaches. Topics Covered in This Course include 1. Standard forms of unconstrained optimization problems 2. Steepest-descent methods 3. Newton methods 4. Standard forms of constrained optimization problems 5. Lagrange multipliers 6. Karush-Kuhn-Tucker (KKT) conditions 7. Convexity and duality 8. Linear programming 9. Quadratic programming 10. Semidefinite programming 11. Second-order cone programming 12. Optimization of non-differentiable problems 13. L1-L2 minimization 14. Alternating direction method of multipliers (ADMM)

ECE 6960 - 003 Special Topics


ECE 5960: 003 Robotic Millisystems A survey of the current state and future outlook for millimeter and centimeter-scale robots, as well as a detailed discussion of the engineering design process for these highly resource-constrained systems. Fundamental principles of the sensors, actuators, and embedded electronics constituting robotic millisystems. Low power and computationally efficient perception, communication, and control strategies. System development approaches including computational and user-centered design methods. Overview of important underlying technical skills including numerical methods, CAD, device layout, and microfabrication. Material will culminate in an academically-relevant research project with written and presented components.

ECE 6960 - 003 Special Topics

  • Class Number: 15741
  • Instructor: VERKLER, AMY
  • Component: Special Topics
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 6

ECE 5960: 003 Robotic Millisystems A survey of the current state and future outlook for millimeter and centimeter-scale robots, as well as a detailed discussion of the engineering design process for these highly resource-constrained systems. Fundamental principles of the sensors, actuators, and embedded electronics constituting robotic millisystems. Low power and computationally efficient perception, communication, and control strategies. System development approaches including computational and user-centered design methods. Overview of important underlying technical skills including numerical methods, CAD, device layout, and microfabrication. Material will culminate in an academically-relevant research project with written and presented components.

Power and Energy Systems: Economics and Operation
  • Class Number: 18709
  • Instructor: PARVANIA, MASOOD
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

Power and Energy Systems: Economics and Operation

ECE 6960 - 008 Special Topics

ECE 6960 - 008 Special Topics

  • Class Number: 16810
  • Instructor: WHITAKER, ROSS
  • Component: Special Topics
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 25

ECE 6960 - 020 Special Topics


mathematical tools for neural data analysis and modeling The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology.

ECE 6960 - 020 Special Topics

  • Class Number: 12824
  • Instructor: NATEGH, NEDA
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0 - 4.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 15

mathematical tools for neural data analysis and modeling The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology.

Course Description: Modern machine learning consists of several key components: data, model and optimization algorithms. As an analogy, data provides fundamental information to the machine learning model (analogous to gas that provides energy to vehicles), machine learning models are developed for solving different tasks (analogous to different vehicle models for different purposes), and optimization algorithms are designed to train the machine learning model to achieve a good performance (analogous to engines that empowers vehicles). In this course, we will study a broad class of advanced optimization algorithms for solving various classes of machine learning and signal processing problems, and implement them with synthetic/real data to test their performance. The course is based on a three-phase structure: Introduce a class of optimization problems 􀀀! introduce one type of algorithm and its analysis 􀀀!implement the algorithm to solve specific problems. We will go over this structure periodically to learn about different optimization algorithms and their theoretical convergence guarantee, as well as various modern machine learning and signal processing problems.
  • Class Number: 18788
  • Instructor: Zhou, Yi
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 32

Course Description: Modern machine learning consists of several key components: data, model and optimization algorithms. As an analogy, data provides fundamental information to the machine learning model (analogous to gas that provides energy to vehicles), machine learning models are developed for solving different tasks (analogous to different vehicle models for different purposes), and optimization algorithms are designed to train the machine learning model to achieve a good performance (analogous to engines that empowers vehicles). In this course, we will study a broad class of advanced optimization algorithms for solving various classes of machine learning and signal processing problems, and implement them with synthetic/real data to test their performance. The course is based on a three-phase structure: Introduce a class of optimization problems 􀀀! introduce one type of algorithm and its analysis 􀀀!implement the algorithm to solve specific problems. We will go over this structure periodically to learn about different optimization algorithms and their theoretical convergence guarantee, as well as various modern machine learning and signal processing problems.

ECE 6960 - 032 Special Topics


Advanced Embedded Systems This is a follow up course in embedded systems, focusing on real-time requirements and reliable systems. The course will cover practical implementation of real-time systems using Real Time Operating Systems (RTOS). Topics covered include: timing requirements, low power modes and energy efficiency, concurrency, distributed communication using CAN bus, proportional control, system testing and verification.

ECE 6960 - 032 Special Topics

  • Class Number: 19223
  • Instructor: SNELGROVE, ASHTON
  • Component: Special Topics
  • Type: In Person
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 7

Advanced Embedded Systems This is a follow up course in embedded systems, focusing on real-time requirements and reliable systems. The course will cover practical implementation of real-time systems using Real Time Operating Systems (RTOS). Topics covered include: timing requirements, low power modes and energy efficiency, concurrency, distributed communication using CAN bus, proportional control, system testing and verification.

ECE 6960 - 090 Special Topics


Mathematical tools for neural data analysis and modeling The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology.

ECE 6960 - 090 Special Topics

  • Class Number: 13166
  • Instructor: NATEGH, NEDA
  • Component: Special Topics
  • Type: Online
  • Units: 3.0 - 4.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: -2

Mathematical tools for neural data analysis and modeling The course covers a set of mathematical and statistical methods that are fundamental for analyzing and modeling neural/cognitive data and neural signal and information processing, which are practiced through extensive computational exercises. The tentative topics include linear algebra, least-squares regression, eigen-analysis and PCA, linear shift-invariant systems, convolution, Fourier transforms, Nyquist sampling, basics of probability and statistics, hypothesis testing, model comparison, bootstrapping, estimation and decision theory, signal detection theory, classification, linear discriminants, clustering, simple models of neural spike generation, white noise (reverse-correlation) analysis, and if time permits information theory, generalized linear models. The course is intended for students from quantitative backgrounds, including engineering, math, statistics, computer science, physics, neuroscience, psychology.

ECE 6960 - 091 Special Topics

ECE 6960 - 091 Special Topics

  • Class Number: 20665
  • Instructor: Zhou, Yi
  • Component: Special Topics
  • Type: Online
  • Units: 3.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 20

ECE 6961 - 002 Medical Imaging Sys

ECE 6961 - 002 Medical Imaging Sys

  • Class Number: 9565
  • Instructor: HSU, EDWARD W
  • Component: Special Topics
  • Type: In Person
  • Units: 1.0 - 5.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

ECE 7900 - 002 Graduate Seminar III

ECE 7900 - 002 Graduate Seminar III

  • Class Number: 16749
  • Instructor: BLAIR, STEVE
  • Component: Seminar
  • Type: In Person
  • Units: 1.0
  • Requisites: Yes
  • Wait List: Yes
  • Seats Available: 19

ECE 7951 - 001 Teaching Engineering


This is a 2 credit hour class.

ECE 7951 - 001 Teaching Engineering

  • Class Number: 15730
  • Instructor: VERKLER, AMY
  • Component: Discussion
  • Type: In Person
  • Units: 2.0
  • Wait List: No
  • Seats Available: 1

This is a 2 credit hour class.

ECE 7951 - 002 Teaching Engineering

ECE 7951 - 002 Teaching Engineering

  • Class Number: 15729
  • Instructor: VERKLER, AMY
  • Component: Discussion
  • Type: In Person
  • Units: 2.0
  • Wait List: No
  • Seats Available: 10

ECE 7952 - 001 Education Project

ECE 7952 - 001 Education Project

  • Class Number: 20819
  • Instructor: VERKLER, AMY
  • Component: Independent Study
  • Type: In Person
  • Units: 2.0
  • Wait List: No
  • Seats Available: 3

ECE 7970 - 001 Thesis Research-Ph D

ECE 7970 - 001 Thesis Research-Ph D

  • Class Number: 1486
  • Instructor: MENON, RAJESH
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

ECE 7970 - 002 Thesis Research-Ph D

ECE 7970 - 002 Thesis Research-Ph D

  • Class Number: 3145
  • Instructor: CHRISTENSEN, DOUGLAS
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 003 Thesis Research-Ph D

ECE 7970 - 003 Thesis Research-Ph D

  • Class Number: 3214
  • Instructor: FURSE, CYNTHIA
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 9

ECE 7970 - 004 Thesis Research-Ph D

ECE 7970 - 004 Thesis Research-Ph D

  • Class Number: 3254
  • Instructor: MYERS, CHRIS
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 005 Thesis Research-Ph D

ECE 7970 - 005 Thesis Research-Ph D

  • Class Number: 3296
  • Instructor: SENSALE RODRIGUEZ, BERARDI
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

ECE 7970 - 009 Thesis Research-Ph D

ECE 7970 - 009 Thesis Research-Ph D

  • Class Number: 3308
  • Instructor: BLAIR, STEVE
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

ECE 7970 - 010 Thesis Research-Ph D

ECE 7970 - 010 Thesis Research-Ph D

  • Class Number: 3571
  • Instructor: STEVENS, KENNETH S
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

ECE 7970 - 011 Thesis Research-Ph D

ECE 7970 - 011 Thesis Research-Ph D

  • Class Number: 3897
  • Instructor: PALMER, JOHN A
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 012 Thesis Research-Ph D

ECE 7970 - 012 Thesis Research-Ph D

  • Class Number: 4032
  • Instructor: FARHANG, BEHROUZ
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

ECE 7970 - 013 Thesis Research-Ph D

ECE 7970 - 013 Thesis Research-Ph D

  • Class Number: 4475
  • Instructor: BODSON, MARC
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 12

ECE 7970 - 016 Thesis Research-Ph D

ECE 7970 - 016 Thesis Research-Ph D

  • Class Number: 4741
  • Instructor: CHEN, RONG-RONG
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

ECE 7970 - 018 Thesis Research-Ph D

ECE 7970 - 018 Thesis Research-Ph D

  • Class Number: 4778
  • Instructor: SOLZBACHER, FLORIAN
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 0

ECE 7970 - 019 Thesis Research-Ph D

ECE 7970 - 019 Thesis Research-Ph D

  • Class Number: 5008
  • Instructor: KALLA, PRIYANK
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 7

ECE 7970 - 021 Thesis Research-Ph D

ECE 7970 - 021 Thesis Research-Ph D

  • Class Number: 5554
  • Instructor: SCHURIG, DAVID A
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

ECE 7970 - 022 Thesis Research-Ph D

ECE 7970 - 022 Thesis Research-Ph D

  • Class Number: 6142
  • Instructor: SCARPULLA, MIKE A
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

ECE 7970 - 023 Thesis Research-Ph D

ECE 7970 - 023 Thesis Research-Ph D

  • Class Number: 6143
  • Instructor: MASTRANGELO, CARLOS H
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

ECE 7970 - 024 Thesis Research-Ph D

ECE 7970 - 024 Thesis Research-Ph D

  • Class Number: 6144
  • Instructor: TASDIZEN, TOLGA
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

ECE 7970 - 027 Thesis Research-Ph D

ECE 7970 - 027 Thesis Research-Ph D

  • Class Number: 6367
  • Instructor: YOUNG, DARRIN J
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 4

ECE 7970 - 029 Thesis Research-Ph D

ECE 7970 - 029 Thesis Research-Ph D

  • Class Number: 6686
  • Instructor: TABIB-AZAR, MASSOOD
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 030 Thesis Research-Ph D

ECE 7970 - 030 Thesis Research-Ph D

  • Class Number: 6688
  • Instructor: KIM, HANSEUP
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

ECE 7970 - 033 Thesis Research-Ph D

ECE 7970 - 033 Thesis Research-Ph D

  • Class Number: 7699
  • Instructor: SIMPSON, JAMESINA J
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

ECE 7970 - 039 Thesis Research-Ph D

ECE 7970 - 039 Thesis Research-Ph D

  • Class Number: 9220
  • Instructor: PARVANIA, MASOOD
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: -5

ECE 7970 - 040 Thesis Research-Ph D

ECE 7970 - 040 Thesis Research-Ph D

  • Class Number: 9676
  • Instructor: COTTER, NEIL E
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 041 Thesis Research-Ph D

ECE 7970 - 041 Thesis Research-Ph D

  • Class Number: 9677
  • Instructor: GAILLARDON, PIERRE-EMMANUEL J
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

ECE 7970 - 042 Thesis Research-Ph D

ECE 7970 - 042 Thesis Research-Ph D

  • Class Number: 9678
  • Instructor: KASERA, SNEHA K
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 043 Thesis Research-Ph D

ECE 7970 - 043 Thesis Research-Ph D

  • Class Number: 9679
  • Instructor: YOON, HEAYOUNG
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

ECE 7970 - 045 Thesis Research-Ph D

ECE 7970 - 045 Thesis Research-Ph D

  • Class Number: 9802
  • Instructor: JI, MINGYUE
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: -1

ECE 7970 - 046 Thesis Research-Ph D

ECE 7970 - 046 Thesis Research-Ph D

  • Class Number: 9803
  • Instructor: ARDAKANI, MOSTAFA
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

ECE 7970 - 057 Thesis Research-Ph D

ECE 7970 - 057 Thesis Research-Ph D

  • Class Number: 10524
  • Instructor: KRISHNAMOORTHY, SRIRAM
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 058 Thesis Research-Ph D

ECE 7970 - 058 Thesis Research-Ph D

  • Class Number: 10525
  • Instructor: NATEGH, NEDA
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 060 Thesis Research-Ph D

ECE 7970 - 060 Thesis Research-Ph D

  • Class Number: 11544
  • Instructor: TAJALLI, ARMIN
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 6

ECE 7970 - 063 Thesis Research-Ph D

ECE 7970 - 063 Thesis Research-Ph D

  • Class Number: 12346
  • Instructor: Liu, Mingxi
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 3

ECE 7970 - 064 Thesis Research-Ph D


Professor Yi Zhou

ECE 7970 - 064 Thesis Research-Ph D

  • Class Number: 12357
  • Instructor: Zhou, Yi
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

Professor Yi Zhou

ECE 7970 - 065 Thesis Research-Ph D

ECE 7970 - 065 Thesis Research-Ph D

  • Class Number: 12350
  • Instructor: XIANG, YU
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

ECE 7970 - 066 Thesis Research-Ph D

ECE 7970 - 066 Thesis Research-Ph D

  • Class Number: 12351
  • Instructor: Huang, Tsung-Wei
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 069 Thesis Research-Ph D

ECE 7970 - 069 Thesis Research-Ph D

  • Class Number: 13228
  • Instructor: Yu, Cunxi
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5

ECE 7970 - 070 Thesis Research-Ph D

ECE 7970 - 070 Thesis Research-Ph D

  • Class Number: 13336
  • Instructor: GAO, WEILU
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 8

ECE 7970 - 071 Thesis Research-Ph D

ECE 7970 - 071 Thesis Research-Ph D

  • Class Number: 14209
  • Instructor: SANCHEZ TERRONES, BENJAMIN
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 2

ECE 7970 - 072 Thesis Research-Ph D

ECE 7970 - 072 Thesis Research-Ph D

  • Class Number: 14210
  • Instructor: GEORGE, JAKE
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 1

ECE 7970 - 073 Thesis Research-Ph D

ECE 7970 - 073 Thesis Research-Ph D

  • Class Number: 14812
  • Instructor: DREW, DANIEL S
  • Component: Thesis Research
  • Type: In Person
  • Units: 1.0 - 12.0
  • Requisites: Yes
  • Wait List: No
  • Seats Available: 5