Electrical and Computer Engineering

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Introduction

The Department of Electrical and Computer Engineering offers both a Bachelor of Science and a Master of Science, equipping graduates for technical and professional careers in industry. The undergraduate program provides a balanced blend of theoretical coursework and hands-on laboratory experiences, allowing students to apply engineering theory to solve real-world design challenges. Creativity and innovation are integral parts of the curriculum. Additionally, Western’s General University Requirements (GURs) ensure graduates develop strong communication skills and receive a broad-based education. The graduate program deepens students’ expertise through advanced coursework and research, preparing them to excel as engineers and innovators in cutting-edge technical fields.

Electrical and Computer Engineering encompasses careers that leverage mathematics, natural sciences, and technical experience to design, develop, and improve technologies that benefit society. Our graduates are employed by leading technology companies such as PACCAR, Boeing, EnerSys, Fluke, Infineon Technologies, SpaceX, and Microsoft.

Students planning to major in Electrical and Computer Engineering should have a solid foundation in mathematics and physics.

Note that Western Washington University offers degrees in other engineering disciplines, as well, and these are offered through the Department of Engineering and Design.

Mission Statement

The Department of Electrical and Computer Engineering at Western Washington University serves current students, industry, the University, and the citizens of the State of Washington by developing industry-ready graduates through a combination of creative problem-solving, analytical skills development, and experiential learning. The educational experience that we provide emphasizes critical thinking and an understanding of the impact of engineering solutions in a global, economic, environmental, and societal context. We value and foster teamwork, communication, and a commitment to equity, justice, and respect for the rights and dignity of others.

Faculty

ANDREW G. KLEIN (2014) Chair and Professor. BS (Electrical Engineering), Cornell University; MS (Electrical Engineering and Computer Science), University of California - Berkeley; PhD (Electrical & Computer Engineering), Cornell University.
XICHEN JIANG (2016) Associate Professor. BS (Electrical Engineering), MS (Electrical Engineering), PhD (Electrical and Computer Engineering), University of Illinois.
JUNAID KHAN (2020) Assistant Professor. BS (Telecommunications Engineering), National University of Computer & Engineering Sciences, Islamabad, Pakistan; MS (Electrical Engineering), National University of Sciences and Technology, Islamabad, Pakistan; PhD (Computer Science), University Paris-Est Marne-La-Vallée, France.
YING LIN (2010) Associate Professor. BS, MS (Electrical Engineering), Harbin Institute of Technology; MS (Applied Statistics), PhD (Electrical Engineering), Syracuse University.
JOHN LUND (2013) Associate Professor. BS, Washington State University; MS, PhD (Electrical Engineering), University of Washington.
AMR RADWAN (2018) Associate Professor. BS (Electrical Power Engineering), Ain Shams University; MSc (Power Electronics and Power Systems), University of Alberta, Canada; PhD, Energy Systems, University of Alberta, Canada.
BHASKAR RAMASUBRAMANIAN (2021) Associate Professor. BT (Electrical and Electronics Engineering), Visvesvaraya National Institute of Technology; MT (Systems and Control Engineering), Indian Institute of Technology - Mumbai; MS/PhD (Electrical and Computer Engineering), University of Maryland.
WALA SAADEH (2022) Associate Professor. BS (Computer Engineering), Yarmouk University; MS (Microsystems Engineering), PhD (Interdisciplinary Engineering), Masdar Institute of Science and Technology.
YUZHANG ZANG (2022) Assistant Professor. BS (Electromagnetic Field & Wireless Technology), Harbin Institute of Technology; MS (Electrical and Computer Engineering), Worcester Polytechnic Institute; PhD (Electrical Engineering), University of Wisconsin - Madison.

Other Departmental Information

Advising and Declaration of Major

Students planning to major in Electrical and Computer Engineering should seek advisement from the department’s program coordinator/pre-major advisor as soon as possible to declare their pre-major and map out a program of study. Due to the structured course sequences and prerequisite requirements in Electrical and Computer Engineering, it is essential for students to begin their departmental coursework in their first year at Western. Early completion of the program’s math and science requirements is strongly recommended. For guidance, students may contact the department’s program coordinator/pre-major advisor at EECE@wwu.edu.

Academic Standards

Students must meet all prerequisite requirements for courses and are encouraged to seek early advisement from the department. A minimum grade of C- is required to pass all Electrical and Computer Engineering requirements, as well as any course prerequisites. Students who receive a grade of K, D+, or lower in a prerequisite course will be required to drop any subsequent major course dependent on that prerequisite.

Students who receive a grade lower than a C- in a required program course may request an exception to use that course toward degree requirements, but only under special circumstances. To make a request, a student must submit an Exception Request Form for consideration by the Electrical and Computer Engineering Curriculum Committee. The form can be found in the student resources section of the Electrical and Computer Engineering website. In the exception request, a student must clearly and thoroughly state their request and provide a detailed explanation why the exception is being requested and why it is appropriate. The form is then submitted to their department faculty advisor who must add their comments and recommendation before forwarding the form to the committee. Students should expect that the Curriculum Committee will need ample time to consider the request; deadlines are listed on the form.

Students that do not make sufficient progress towards their major may be removed. For details, please see the department’s Forms, Policies, and Procedures.

Programs

• Electrical and Computer Engineering, BS

• Embedded Systems Minor

• Electrical and Computer Engineering, Non-Thesis, MS

Courses

Courses numbered X37; X97; 300, 400 are described in the University Academic Policies  section of this catalog.

• EECE 108 - Introduction to Electrical and Computer Engineering Seminar
• EECE 109 - Introduction to Electrical and Computer Engineering Lab
• EECE 111 - Circuit Analysis I
• EECE 210 - Circuit Analysis II
• EECE 220 - Electronics I
• EECE 233 - Digital Electronics
• EECE 244 - Embedded Microcontrollers I
• EECE 300 - Directed Independent Study
• EECE 310 - Continuous Systems
• EECE 311 - Discrete Systems
• EECE 320 - Electronics II
• EECE 321 - Electronic Systems
• EECE 333 - Digital System Design
• EECE 344 - Embedded Microcontrollers II
• EECE 346 - Probability and Statistics for Electrical and Computer Engineering
• EECE 360 - Communication Systems
• EECE 361 - Signal Propagation
• EECE 362 - Wireless Networking and Applications
• EECE 372 - Power Circuits and Electromechanical Systems
• EECE 374 - Power Electronics
• EECE 378 - Power System Analysis and the Smart Grid
• EECE 383 - Machine Learning for Engineers
• EECE 384 - Artificial Intelligence and Reinforcement Learning
• EECE 385 - Cyber-Physical Systems
• EECE 400 - Directed Independent Study
• EECE 401 - Capstone Project Introduction
• EECE 402 - Capstone Project II
• EECE 403 - Capstone Project III
• EECE 404 - Capstone Project IV
• EECE 433 - Digital Signal Processing
• EECE 444 - Embedded Systems
• EECE 460 - Digital Communication Systems
• EECE 480 - Control Systems
• EECE 495 - Directed Research in Electrical and Computer Engineering
• EECE 501 - Linear Systems Modeling and Analysis
• EECE 502 - Random Processes
• EECE 503 - Data-Driven Engineering
• EECE 512 - Engineering Optimization
• EECE 521 - Custom Integrated Circuit Design
• EECE 529 - Microwave Engineering
• EECE 561 - Antenna Theory and Design
• EECE 562 - Edge Computing and Analytics in IoT
• EECE 565 - Signal Estimation and Detection
• EECE 573 - Dynamics and Control of Power Converters
• EECE 585 - Formal Verification of Cyber-Physical Systems
• EECE 591 - Graduate Seminar I
• EECE 592 - Graduate Seminar II
• EECE 691 - Master’s Research Project
• EECE 699 - Continuous Enrollment

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