The Bachelor of Science (Sc.B.) in Computer Engineering at Brown University delivers a rigorous interdisciplinary curriculum that merges electrical engineering and computer science, empowering students to design and develop computer hardware, communication networks, smart digital devices, and embedded systems. The program emphasizes innovative thinking in cybersecurity, machine intelligence, robotics, and networking.
Students benefit from Brown's open curriculum structure, faculty-led research opportunities, and state-of-the-art facilities like the Laboratory for Engineering Man/Machine Systems. The program's distinctive balance between hands-on engineering design and computer science provides a strong platform for technical leadership and further academic pursuit.
Course Overview:
Year 1: Introduction to Engineering or Introduction to Engineering: Design, Single Variable Calculus, Part II (Physics/Engineering) Computer Science: An Integrated Introduction, Engineering Statics and Dynamics, Multivariable Calculus, Part Ill (Physics/Engineering), Program Design with Data Structures and Algorithms
Year 2: Electricity and Magnetism, Applied Ordinary Differential Equations, Equilibrium, Rate, and Structure or Materials Science or The Brain: An Introduction to Neuroscience, Electrical Circuits and Signals, Linear Algebra or Honors Linear Algebra
Year 3: Linear System Analysis, Digital Electronics Systems Design, Introduction to Computer Systems (recommended), CE Specialty Courses
Year 4: Statistical Inference I or Statistical Inference I, CE Specialty Courses or Capstone
Collaborative Research: Most students engage in internships or faculty-led research, with access to state-of-the-art labs like the Laboratory for Engineering Man/Machine Systems.
Capstone Design Project: Real-world, team-based engineering project that integrates hardware and software systems.
Independent Study: Students may design custom projects under faculty supervision, satisfying capstone requirements.
Student Involvement: Participation in engineering clubs, design competitions, and interdisciplinary research initiatives.
Graduate Careers: Hardware design, embedded systems, robotics, network and communication systems, cybersecurity, machine intelligence, software development.
Industry Sectors: Technology, healthcare, finance, research labs, defense, and startups.
Further Study: Graduates are well-prepared for advanced degrees in computer engineering, computer science, electrical engineering, robotics, AI, and related disciplines.
Professional Development: Strong emphasis on problem-solving, interdisciplinary collaboration, communication, ethical responsibility, and innovation equips students for leadership roles across technical sectors.
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