Stanford Computer Science and Electrical Engineering are deeply interrelated disciplines, and numerous faculty members are jointly appointed in the two departments. Many fundamental principles, key technologies and important applications lie at the intersection between the two disciplines.
The intersection of EE and CS is addressed by many courses, including those listed below. We encourage students in both the Stanford Department of Electrical Engineering and the Stanford Department of Computer Science to consider including these courses in their degree programs.
| Course Number: Course Name | |
|---|---|
| CS Courses, Stanford ExploreCourses | EE Courses, Stanford ExploreCourses |
| CS 103: Mathematical Foundations of Computing | EE 101A: Circuits I |
| CS 106A: Programming Methodology | EE 101B: Circuits II |
| CS 106B/ENGR 70B: Programming Abstractions | EE 102A: Signal Processing and Linear Systems I |
| CS 106X/ENGR 70X: Programming Abstractions (Accelerated) | EE 102B: Signal Processing and Linear Systems II |
| CS 107: Computer Organization and Systems | EE 103 (academic year 20-21 becomes ENGR108): Introduction to Matrix Methods. |
| CS 107E: Computer Systems from the Ground Up | EE 108: Digital System Design |
| CS 108: Object-Oriented Systems Design | EE 109: Digital Systems Design Lab |
| CS 109: Introduction to Probability for Computer Scientists | EE 168: Introduction to Digital Image Processing |
| CS 110: Principles of Computer Systems | EE 179: Analog and Digital Communication Systems |
| CS 131: Computer Vision: Foundations and Applications | EE 180: Digital Systems Architecture |
| CS 140: Operating Systems and Systems Programming | EE 262: Two-Dimensional Imaging |
| CS 143: Compilers | EE 263: Introduction to Linear Dynamical Systems |
| CS 144: Introduction to Computer Networking | EE 264: Digital Signal Processing |
| CS 145: Introduction to Databases | EE 271: Introduction to VLSI Systems |
| CS 148: Introduction to Computer Graphics and Imaging | EE 273: Digital Systems Engineering |
| CS 149: Parallel Computing | EE 278: Introduction to Statistical Signal Processing |
| CS 155: Computer and Network Security | EE 285/CS 241: Embedded Systems Workshop |
| CS 194: Software Project | EE 282: Computer Systems Architecture |
| CS 194W: Software Project (WIM) | EE 364A: Convex Optimization I (cross-listed with CME 364A). |
| CS 221: Artificial Intelligence: Principles and Techniques | EE 364B: Convex Optimization II |
| CS 223A: Introduction to Robotics | EE 368: Digital Image Processing |
| CS 224N: Natural Language Processing with Deep Learnin | EE 382C: Interconnection Networks |
| CS 225A: Experimental Robotics | EE 384A: Internet Routing Protocols and Standards |
| CS 229: Machine Learning | EE 384B: Multimedia Communication over the Internet |
| CS 231A: Computer Vision: From 3D Reconstruction to Recognition | EE 384C: Wireless Local and Wide Area Networks |
| CS 231N: Convolutional Neural Networks for Visual Recognition | EE 384S: Performance Engineering of Computer Systems and Networks |
| CS 241/EE 285: Embedded Systems Workshop | EE 384X: Packet Switch Architectures |
| CS 244: Advanced Topics in Networking | |