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Electrical Engineering (BS)


The field of electrical & computer engineering involves the analysis and design of complex electrical and electronic devices, software, and systems containing hardware and software components. Without electrical & computer engineering, things like computers, car power systems, and cell phones would not exist. The Electrical and Computer Engineering department at the University of Utah covers a broad range of disciplines related to computing, sensing, and communicating. The program will prepare you to join the next generation of engineers, capable of becoming a leader in industry, government or academia. The Electrical & Computer Engineering curriculum is comprised of courses in differential and integral calculus, linear algebra and complex variables, basic sciences, computer science, and engineering sciences. Training in these topics prepares students for the analysis and design challenges associated with electrical and electronic devices, software, and systems containing hardware and software components. All students must complete a senior project capstone, further solidifying electrical and computer engineering concepts and preparing you to enter the workforce or graduate school.

The Student Experience


In addition to your academic studies, be sure to participate in some of the department’s many student organizations, such as the U’s chapter of the Institute of Electrical and Electronics Engineers (IEEE) or the Women in Engineering (WIE) program. Degree enrichment opportunities include undergraduate research projects, internships, or study abroad programs, all offering you hands-on and professional skills and will be of use in any career you pursue.

Career Opportunities


A degree in Electrical & Computer Engineering will prepare you for careers in computer design, communications systems, circuitry, and robotics. Graduates of the program have been hired as electrical engineers, software engineers and developers, hardware engineers, project managers, and product enhancement engineers. Students can also attend graduate school in electrical or computer engineering or a related field, such as math, physics, civil engineering, or nuclear engineering.

Admission Requirements
Admission Requirements
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Graduation Requirements
Graduation Requirements
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Degree Requirements
Degree Requirements
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Declare a Major
Declare a Major
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ECE Tracks
ECE Tracks
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Career Opportunities
Career Opportunities
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Meet Major Advisor
Meet Major Advisor
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Meet Your Faculty
Meet Your Faculty
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Resources & Forms
Resources & Forms
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UAC Summer Program to SLC
UAC Summer Program to SLC
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New Student Coding Camp
New Student Coding Camp
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Department of Electrical & Computer Engineering in SLC
Department of Electrical & Computer Engineering in SLC
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Admission Requirements


  • C or better from MATH1310 or AP Calc AB score of 4 or AP Calc BC score of 3 or better
  • 2.8 or higher Utah GPA or Transfer GPA. The University of Utah GPA can have priority over the Transfer GPA.

** Maximum credit hours that can be transferred for a single course is 4 credit hours. All transfer classes are subjects to evaluation and may be accepted or denied at the discretion of the Department of Electrical & Computer Engineering.

Declare Major

Graduation & Program Requirements


Minimum Cumulative GPA of 2.50.

Minimum Technical GPA of 2.50 (calculated from all ECE and CS classes taken).

All courses must be completed with a grade C- or better unless otherwise stated. All mathematics classes must be completed with a grade C or better.

Courses may only be repeated once. Courses repeated more than once will only have the second attempt counted in the Technical GPA. All grades, including "W" grades count as one attempt. If the second attempt is a "W" grade, then the first attempt shall be used for purposes of calculating the Technical GPA.

Students must complete the online application in Canvas to be admitted to Full-Major Status.

To avoid intermediate status, Electrical Engineering students need to maintain an overall U of U GPA of at least 2.8. Students who lose full major status will be able to request a permission code in order to take ECE courses.

Probation:

Students can be placed on probation if they drop below a 2.5 GPA or by decision of the Admissions and Graduation Committee. Students will have two semesters to raise their GPA to 2.5 or higher (not including summer semester). Students on probation will lose major status but will be able to request permission codes in order to take ECE classes. If students on probation do not raise their GPA above 2.5, they will be removed from our program. Students are only allowed to be on probation one time during their academic career. If they find themselves on probation a second time, they may be removed immediately from our program. Students can petition for an additional probation semester.

Attempt policy:

Students are only allowed one additional attempt at a course. Students can be removed from our program if they do not pass the course after the second attempt; however, students can petition for an additional attempt.

ECE Coding Camp


All new ECE students must take the coding placement test for their first coding class in the fall semester. Students will be placed into either CS1400 or CS1410 based on their scores.

* Both CS1400 and CS1410 are required for ECE students to graduate. CS1400 will be waived for students who are directly placed into CS1410. Students placed into CS1400 with their coding placement test must take CS1410 in the following semester.

The camp is an introduction to the basic knowledge required to write effective computer programs to solve simple programming problems. By the end of this camp, students will be able to understand a computational problem statement and then design, implement, document, and test a computer program that solves the problem.

Who Can Apply:

Students who have no or very little knowledge of programming experience can apply. All incoming ECE students are highly encouraged to participate in the camp.

Programming Language:

Students will learn how to write computer programs using the ‘Python’ language.

Topics to be covered:

Programming fundamentals
Data representations
Variables
Data types
Statements
Arithmetic, relational, and Logical operators
Conditional statements
Iterative statements
Functions (recursive and non-recursive)
Structures and Enumerators

Meet Your Faculty


Fatemah Koohestan Mahalian

Assistant Professor (Lecturer)
 fatima.mahalian@utah.edu
 Location: U758

Fatemah Koohestan Mahalian

Assistant Professor (Lecturer)
Dr. Fatemeh Koohestan Mahalian received her M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of Utah, and her research interests are in artificial intelligence, spiking neural networks, and machine learning. She is currently an assistant professor (Lecturer) with the Department of Electrical and Computer Engineering (ECE) of the University of Utah Asia Campus and has received the Outstanding Teaching Assistant Awards of the ECE department and the College of Engineering. Before going to the U.S., she received her B.Eng. degree in Electronic Information Engineering in Beijing, and while being in China, she studied the Chinese language and East Asian cultures. Fatemeh loves to study different cultures and has lived and worked in 5 countries (South Korea, the U.S., China, Turkey, and Iran) and 17 cities. Apart from her background in teaching, engineering, and languages, Dr. Mahalian has also experience in business, multinational collaborations, and entrepreneurship.
 fatima.mahalian@utah.edu
 Location: U758

Evan Joseph Benoit

Assistant Professor
 evan.benoit@utah.edu
 Location: U 762

Evan Joseph Benoit

Assistant Professor
Evan J. Benoit received his B.S. and M.S. degrees in Electrical and Computer Engineering from the University of Utah in 2020 and a Ph.D. in Electrical Engineering from the University of Utah in 2023. His focus of study is in electromagnetics and transmission lines. He also received a B.S. degree in nuclear engineering and technology from Excelsior College in 2015. Prior to attending the University of Utah in 2015, he was a submarine nuclear field electrician’s mate in the US Navy. He is currently working as an Assistant Professor (Lecturer) in the Electrical and Computer Engineering Department at the University of Utah Asia Campus in Incheon, South Korea, where he teaches Physics I and II as well as undergraduate ECE courses. When not in the classroom, he enjoys long-distance bicycle camping trips and making wheel-thrown pottery.
 evan.benoit@utah.edu
 Location: U 762

Habtamu Aycheh

Assistant Professor
 habtamu.aycheh@utah.edu
 Location: U759

Habtamu Aycheh

Assistant Professor
Dr. Habtau Aycheh is a Assistant Professor in the department of Electrical and Computer Engineering. His research focuses on developing prediction models to investigate biomarkers for brain disorder. In particular, his current domain of interest is in the areas of Artificial Intelligence (AI)/Machine Learning, Probabilistic Graphical Models, Bioinformatics and Computational Neuroscience that complement and extend health phenotypes prediction.
 habtamu.aycheh@utah.edu
 Location: U759

Raheel Bhutta

Assistant Professor
 raheel.bhutta@utah.edu
 Location: U760

Raheel Bhutta

Assistant Professor
Dr. RAHEEL BHUTTA received the B.Eng. degree in computer engineering from the COMSATS Institute of Information Technology, Islamabad, Pakistan, in 2003, and the M.Eng. degree in VLSI system design from Griffith University, Australia, in 2005, and the Ph.D. degree from the Department of Cogno-Mechatronics Engineering, Pusan National University, South Korea, in 2017. He is currently working as an Assistant Professor with the Department of Electrical and Computer Engineering, University of UTAH Asia Campus, Incheon South Korea. Before that, he served at the Department of Computer Science and Engineering, Sejong University, Seoul, South Korea, for about 4 and half years from March 2018 ~ June 2022. He is currently working on a lie detection system using neuronal and physiological signals, funded by the National Research Foundation of Korea. Research interests include embedded system design, classification and pattern recognition, artificial intelligence, machine learning, multimodal neuroimaging, and brain-computer interfaces.
 raheel.bhutta@utah.edu
 Location: U760

Meet Major Advisor

 

Heidi Kim

Heidi.kim@utah.edu

032-626-6110

u639

Your academic advisor can provide invaluable assistance with major/minor declaration, courses and registration, research opportunities, internships, and more. Book an appointment through the button below if you need any help with your major.

Book An Appointment

 

 

 

Book an Appointment


Your academic advisor can provide invaluable assistance with major/minor declaration, courses and registration, research opportunities, internships, and more. Book an appointment through the button below if you need any help with your major.

Book Appointment Now