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Undergraduate Academic Advising Instructions

All engineering students are required to seek advising from their faculty advisor prior to registering for the Summer and/or Fall 2022 semester. An advising hold will be placed on the record of each engineering student that will prevent them from registering until they speak with their faculty advisor. Students who intend to transfer into a different program must still meet with their advisor and complete an advising form. There will be no exceptions.

Advising procedures Summer/Fall 2022

Faculty will conduct their advising appointments either in person or remotely the week of March 14-18, 2022. Most faculty will conduct their advising appointments through Webex, Zoom, Skype, or in person, in their office, see faculty listing here.

Students will receive instructions from their faculty advisor with details on how they will conduct their advising appointments. Students who do not receive an e-mail by March 7, 2022 should email their advisor (see list here). Students who do not receive a response should email and await further instructions.

 Advising appointment sign-up

Students may sign up for advising appointments from March 7-11, 2022. Students who do not sign up during this week will bear the responsibility of finding a mutually agreeable time with their advisor.

Verify who your advisor is before signing up (see advisor list here). Please keep in mind that you may be reassigned to another advisor if your advisor will not be available this term.

Preparing for your advising session

Print or download your uAchieve reports which shows you which classes you have and which are missing. This is your guide for what to take, as long as you have the pre-requisites (can check by clicking on a course). You may also find it helpful to print or download the appropriate curriculum flowchart from the Student Resources page which, together with the uAchieve report, will guide you on what courses to take next. Visit the Student Resources page to see which classes are being offered next semester by the ECE department.

Plan your schedule ahead of your advising session through the “Plan Ahead” tool:

  • Go to:
  • Sign in with your NetID
  • On the welcome page, click “XE Registration”
  • Click the “Plan Ahead” tool
  • Save a New Plan
  • From here, you can add/drop courses into your schedule to make sure there are no time conflicts.
  • Note: This is just a planner and does not sign you up for courses. You still need to sign up once registration opens.

Your advising session

Review your online degree audit report (found in the portal under uAchieve) prior to attending your faculty advising appointment and have it with you during your appointment. If you have questions about what is on your degree audit report or feel that it is inaccurate, please contact one of the engineering undergraduate advisors so that they can review the report and make any necessary changes. Send an email with your UIN and be as specific as possible about what you believe is wrong with your degree audit report so that they can better understand the problem and get back to you in a timely manner.

As noted above, advisor evaluation surveys will be conducted online and are mandatory. You must complete the online advisor evaluation survey after you have completed your advising session. The survey takes less than one minute. The results are anonymous, but completion is recorded.

Advisor Evaluations

In an effort to improve undergraduate academic advising, students will submit an advisor evaluation at the end of their advising session. Advisor evaluation surveys will be conducted online and are mandatory. The survey takes less than one minute. The results are anonymous, but completion is recorded. Your advisor will provide the link to the survey.

Course prerequisites

The College of Engineering has noticed that a large number of students are registering for courses without meeting the listed prerequisites. The prerequisites are listed for a reason, and it is expected that you know the material in these prerequisite courses before moving on to the next level. Instructor permission does not waive course prerequisites.

Students registered in courses for which they do not have the prerequisites will be dropped from these courses after the add/drop deadline and will not be able to add another course to their schedule. Courses dropped in this way will show up as a “W” on a student’s academic record. Students can view the prerequisites for courses in the UIC catalog.

Special topics for Fall 2022

The ECE department is offering several special topics courses in Fall 2022. For ECE undergraduates: all courses will count as ECE Technical Electives with a Request for Modification of Major Form.

Note: Undergraduates must also obtain instructor approval to register for a 500-level course. This is separate from the Major Modification Form (if the student requests technical elective credit).

ECE 491 Special Topics

Power System Analysis
CRN: 42804 (3), 42805 (4), MW 3:00-4:15 p.m.
Instructor: Line He,
Prerequisites: ECE 210 or ECE 225
Description: This course will cover the important topics including the introduction of electrical power systems, principles and modeling of electrical power systems, power flow analysis, economic dispatch and fault analysis. It is intended to familiarize students with the fundamental knowledge of power systems and provide them the prerequisite skills to carry out engineering analysis.

Power Converter Modeling, Analysis, and Control
CRN: 45537 (3), 45538 (4), TR 3:30-4:45 p.m.
Instructor: Mohammad Shadmand,
Prerequisites: ECE 342
Description: This course encompasses dynamic modeling of power-electronic switching converters leading subsequently to the analysis and control design from stability and performance standpoints. Several practical examples will be provided to implement such methodologies for real-world applications.

Digital Speech Processing
CRN: 45436 (3), 45437 (4), MW 4:30-5:45 p.m.
Instructor: Ahmet Enis Cetin,
Prerequisites: ECE 317, programming
Description: This is an introductory course on speech processing. We cover how voice is encoded and transmitted in landlines and cell phones, and how speech is recognized in practical systems. The entire field of digital signal processing was actually started by processing speech signals.  FFT and Cepstrum were developed as tools in speech data processing. The course covers both the theory and practical aspects of speech processing.

Introduction to Quantum Materials and Devices
CRN 47601 (3) 47602 (4), TR 11:00-12:15 p.m.
Instructor: Lucy Shi,
Prerequisites: ECE 346 or consent of the instructor (students from other departments may  be well qualified).
Description: This is an introductory course on the science and engineering of quantum materials and devices. The intended audience are upper-level undergraduate students and first or second-year graduate students in Electrical Engineering, Physics, Materials and Industrial Engineering, Chemistry, and Chemical Engineering. We will start with the basics of electrical and optical properties of electronic materials. Afterwards, we will explore concepts such as quantum Hall effect, superconductivity, topological insulators, qubits, quantum sensors, followed with the state-of-the-art quantum material development, their emergent properties, and the quantum devices they enable. Although very helpful, a background in quantum physics, thermodynamics, or advanced mathematics is not required.

ECE 594 Special Topics

Convex OptimizationSmart Grid: Modern Distributed Power Systems
CRN: 47685, MW 4:30-5:45 p.m. This course is now ECE 508 effective Fall 2022.
Instructor: Shuo Han,
Prerequisites: MATH 310 and ECE 341
Description: This course covers three main aspects of convex optimization: theory, algorithms, and applications (e.g., machine learning, signal/image processing, controls). The student will learn to be able to recognize convexity and use convex optimization to model and solve problems that arise   in engineering applications. Students will also gain a basic understanding of how convex optimization problems are solved algorithmically so as to determine whether a given problem can be solved using off- the-shelf solvers.

High Performance IC’s / Systems
CRN: 36707, TR 2:00-3:15 p.m.
Instructor: Inna Partin-Vaisband,
Prerequisites: ECE 340 and (ECE 467 or consent of instructor)
Description: In this course, you will gain the important insight into design challenges and state-of-the-art solutions across multiple levels of design abstraction. You will learn to analyze, model, and design VLSI systems at transistor, circuit, and system levels.

Helpful Links

Note: See the undergraduate Student Resources page for a full selection of links.