The Bachelor of Science in Computer Engineering at the University of Washington is delivered by the Paul G. Allen School of Computer Science & Engineering and is ABET-accredited. This program equips students with the skills to design, develop, and implement advanced computing systems, integrating both hardware and software expertise. Students gain a solid foundation in computing, mathematics, and science, and explore specialized areas such as AI, machine learning, security, networking, robotics, and computational biology.
The program emphasizes hands-on labs, capstone design projects, interdisciplinary teamwork, and research, while offering flexibility through electives and customization options.
Course Overview:
Computer Science Principles, AP Comp Sci, Intro to Computer Programming I, II & III, Science and Art of Digital Photography
Computer Programming, Data Programming, Intermediate Data Programming, Problem Solving for Comp Sci and Engineering, Internship
Foundations of Computing, Systems Programming, Intro to Data Management, Hardware/ Software Interface
System and Software tools, Intro to Complier Constructions, Software Engineering
Laboratory Courses: Practical, hardware-focused labs in mobile robotics, digital design, embedded systems, networking, and AI.
Capstone Design Project: Team-based project integrating hardware and software solutions to solve real-world problems.
Undergraduate Research: Opportunities to work alongside faculty on cutting-edge topics such as AI, security, robotics, and computational biology.
Student Organizations & Competitions: Involvement in hackathons, coding competitions, and engineering clubs that foster practical skills and collaboration.
Facilities: The Paul G. Allen Center and Gates Center offer high-end labs, collaboration spaces, and computing infrastructure dedicated to CSE students.
Industry Sectors: Technology, robotics, aerospace, healthcare, cybersecurity, research labs, cloud computing, and government agencies.
Top Employers: Leading tech companies, startups, government labs, and research institutions.
Further Study: Graduates pursue advanced degrees in computer engineering, computer science, AI, robotics, and related disciplines.
Professional Development: Focus on creative problem-solving, rigorous system design, effective communication, teamwork, and leadership prepares graduates for dynamic roles in the evolving tech landscape.
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