FAQs

Do I need a graduate degree specializing in this area to be marketable to industry?

No. However, while a student with a bachelor’s degree and good skills can easily find employment, a master’s degree opens up a noticeably wider range of positions in this area. A doctoral degree is generally required for research and teaching.

What are some examples of real-world areas of application?

There are many possible real-world applications of computer architecture. Here are a few examples:

• Designing accelerators for deep learning
• Designing the next Apple iPhone
• Designing the next Nvidia GPU
• Creation of new microprocessor designs from Intel, Apple and ARM

Does computer architecture touch on global impact, equity and/or quality of life?

Yes. The advancement of computing technology over the last few decades has transformed modern life, while low-power mobile processors in the form of cellphones have brought many of these advances to low-resource environments as well. As computers become more powerful and more affordable, they will continue to transform almost all facets of our lives.

Areas of Impact

Computing Data and Digital Technologies

Computer architecture is at the heart of computing technology, and because of that, it has a profound, fundamental impact in this area.

Related Career Paths

Students graduating with a focus in computer architecture will be prepared to pursue careers in many different types of organizations. Graduates often work at top semiconductor companies such as Intel, Apple, Nvidia, SiFive and AMD.

On-the-job tasks for graduates with a focus in Computer Architecture include:

• Developing accelerator chips for data centers.
• Verifying correctness of next-generation microprocessors.
• Helping to create chip designs for future, low-power microcontrollers.

Computer Architecture Courses

When planning for courses, review projected course offerings here and be sure to check all course prerequisites (course titles below link to the catalog course description, which includes prerequisite information). 

These courses are suggested for those following the Computer Architecture pathway but are not required to complete the BSECE degree program:

EE 469 — Computer Architecture I

How does the machine code produced by a compiler translate into computation by a processor? How can we improve the performance of a processor, and what are the trade-offs that must be made? These questions and many more are answered by this course, as students receive an initial exposure to computer architecture and design their own processor in Verilog Hardware Design Language, an industry standard for hardware description.

EE 470 — Computer Architecture II

Learn about advanced computer architecture. Topics in this course include performance evaluation and energy efficiency, instruction set architectures, instruction-level parallelism, modern microprocessor micro-architecture, thread-level parallelism, cache coherency and memory consistency in shared-memory multiprocessors, memory hierarchy, GPU architecture, warehouse-scale computing, and trends in computer design.

EE 477 — Very Large-Scale Integrated Design II (Automated VLSI Design)

The vast portion of modern integrated circuits today are constructed using synthesis, auto-place and route (SAPR) methodologies. These methodologies allow a designer to describe their design using a hardware design language such as System Verilog and rely on electronic design automation to produce digital circuits that implement the desired function. Managing the massive scale achievable by such designs requires understanding both system-building principles and higher-level concepts in digital design, as well as the skills for effective use of industry-standard design tools to produce these designs. The relevance of the content and skills taught in this class have led to its support by Intel.

CSE 373 — Data Structures and Algorithms

Fundamental algorithms and data structures for implementation. Techniques for solving problems by programming. Linked lists, stacks, queues, directed graphs. Trees: representations, traversals. Searching (hashing, binary search trees, multiway trees). Garbage collection, memory management. Internal and external sorting.

CSE 374 — Intermediate Programming Concepts and Tools

Covers key software development concepts and tools not in introductory courses. Concepts of lower-level programming (C/C++) and explicit memory management; techniques and tools for individual and group software development; design, implementation, and testing strategies.

Capstone

Students in the Computer Architecture Pathway are encouraged to take either EE 475 or EE 478 as their capstone; using EE 497/498 (ENGINE) instead as the capstone is also possible.

EE 475 — Embedded Systems Capstone

In this capstone class, students will work in teams to apply knowledge they gained in EE 474, Introduction to Embedded Systems, and from other previous ECE courses to prototype and build a substantial project that mixes hardware and embedded software and communication. Students often build projects in specific application areas that include but are not limited to health, robotics, Internet of Things (IoT), and smart systems. Students will also hear from experts in embedded systems to learn about emerging platforms, trends and job opportunities/prospects.

EE 478 — Capstone Integrated Digital Design Projects

Students work in groups of three to implement design projects which have, in the past, included the design of an ultra-low-power mixed-signal sensor chip containing data-converters, integrated power electronics for energy-efficient computing, and higher-performance microprocessor implementations. Students will use a variety of industry standard tools to implement and validate their designs.

EE 497/498 (winter/spring) — (ENGINE) Engineering Entrepreneurial Capstone 

The Engineering Entrepreneurial Capstone program (ENGINE) is the culmination of a student’s electrical and computer engineering education at UW ECE. The program provides a unique opportunity for students to develop skills in collaborative systems engineering, project management, and most importantly, working in teams on real-world problems from industry-sponsored projects. The program is overseen by UW ECE faculty and students are guided by practicing engineers. The course culminates in a showcase of student projects, which is attended by industry sponsors and held at the end of spring quarter every year.

Crossing Paths

Students studying Computer Architecture should also consider the following customizable pathways:

• Computing
• Embedded Systems
• Machine Learning
• VLSI Design / Digital Systems Design

Enriching Your Path

The following courses are also recommended for those following the Computer Architecture pathway:

• EE 331 — Devices and Circuits 1
• EE 332 — Devices and Circuits 2
• EE 371 — Design of Digital Circuits and Systems
• EE 419 — Introduction to Computer-Communication Networks
• EE 443 — Machine Learning for Signal Processing Applications
• EE 476 — Very Large-Scale Integrated Design II (Automated VLSI Design)
• EE 478 — Capstone Integrated Digital Design Projects
• CSE 410 — OS
• CSE 413 — Compilers