Guide to ECE and CS at CMU

Classes at CMU can be hard. This guide is to give some insight on what to expect from the core classes from the ECE and CS programs at CMU.

ECE Core

• 18-100: Introduction to ECE
• 18-213: Introduction to Computer Systems
• 18-220: Electronic Devices and Analog Circuits
• 18-240: Structure and Design of Digital Systems
• 18-290: Signals and Systems
• 18-500: ECE Design Experience

CS Core

• 15-122: Principles of Imperative Computation
• 15-150: Principles of Functional Programming
• 15-210: Parallel and Sequential Data Structures and Algorithms
• 15-213: Introduction to Computer Systems
• 15-251: Great Ideas in Theoretical Computer Science
• 15-451: Design and Analysis of Algorithms

Math / Science Reqs

• 18-202: Mathematical Foundations of Electrical Engineering
• 21-127: Concepts of Mathematics
• 21-241: Matrix Algebra
• 36-219: Probability Theory and Random Processes
• 36-225: Introduction to Probability Theory
• 21-259: Calculus in Three Dimensions
• 21-254: Linear Algebra and Vector Calculus for Engineers
• 21-260: Differential Equations

Electives

• 10-601: Introduction to Machine Learning
• 10-605: Machine Learning with Large Datasets
• 10-701: Introduction to Machine Learning (PhD)
• 11-411: Natural Language Processing
• 11-442/642/742: Search Engines
• 11-755/18-797: Machine Learning and Signal Processing
• 11-785: Introduction to Deep Learning
• 14-763/18-763: Systems and Toolchains for AI Engineers
• 15-410: Operating Systems
• 15-418: Parallel Computer Architecture and Programming
• 15-424: Logical Foundations of Cyber-Physical Systems
• 15-440: Distributed Systems
• 15-445: Introduction to Database Systems
• 15-455: Undergraduate Complexity Theory
• 15-462: Computer Graphics
• 16-311: Introduction to Robotics
• 16-384: Robot Kinematics and Dynamics
• 16-385: Computer Vision
• 16-664: Self Driving Cars: Perception & Control
• 16-720: Computer Vision
• 16-745: Optimal Control and Reinforcement Learning
• 16-833: Robot Localization and Mapping
• 17-214: Principles of Software Construction
• 17-437: Web Application Development
• 17-480: API Design and Implementation
• 18-300: Fundamentals of Electromagnetics
• 18-310: Fundamentals of Semiconductor Devices
• 18-320: Microelectronic Circuits
• 18-330: Introduction to Computer Security
• 18-335/732: Secure Software System
• 18-341: Logic Design and Verification
• 18-344: Computer Systems and the Hardware-Software Interface
• 18-349: Introduction to Embedded Systems
• 18-370: Fundamentals of Control
• 18-447: Introduction to Computer Architecture
• 18-491: Digital Signal Processing
• 18-540: Rapid Prototyping of Computer Systems
• 18-578: Mechatronic Design
• 18-602: Business Fundamentals
• 18-623: Analog Integrated Circuit Design
• 18-624: Intro to Open-Source FPGA and ASIC Chip Design
• 18-631: Introduction to Information Security
• 18-640: Hardware Arithmetic for Machine Learning
• 18-647: Computational Problem Solving for Engineers
• 18-652: Foundations of Software Engineering
• 18-656: Functional Programming in Practice
• 18-660: Optimization
• 18-661: Introduction to Machine Learning for Engineers
• 18-665: Advanced Probability & Statistics for Engineers
• 18-690: Introduction to Neuroscience for Engineers
• 18-698: Neural Signal Processing
• 18-721: Advanced Analog Integrated Circuits Design
• 18-723: RF IC Design and Implementation
• 18-729: Board-Level RF Systems for IoT
• 18-740: Modern Computer Architecture and Design
• 18-741: Computer Networks
• 18-742: Computer Architecture and Systems
• 18-746: Storage Systems
• 18-747: How to Write Low Power Code for IoT
• 18-749: Building Reliable Distributed Systems
• 18-759: RW Wireless Networks
• 18-785: Data Inference and Applied Machine Learning
• 18-792: Advanced Digital Signal Processing
• 18-793: Image and Video Processing
• 18-794: Pattern Recognition Theory
• 18-819E: Elements of Quantum Communication and Networks
• 18-843: Mobile and Pervasive Computing
• 18-847C: Data Center Computing
• 18-847F: Foundations of Cloud and Machine Learning Infrastructure
• 18-865: Power Electronics for Electric Utility Systems
• 18-898D: Graph Signal Processing and Geometric Learning
• 24-104: Maker Series: Intro to Modern Making
• 24-784: Trustworthy Intelligent Autonomy
• 33-114: Physics of Musical Sound
• 33-120: Science and Science Fiction
• 57-173: Survey of Western Music History
• 80-180: Nature of Language
• 80-405: Game Theory
• 82-137: Chinese Calligraphy: Culture and Skils
• 82-208: Eastern Europe: Society and Culture
• 82-279: Anime - Visual Interplay between Japan and the World