其他课程推荐

本版块列举一下编者推荐、但未被列入其他版块的课程：

Introductory Courses

• MIT 6.01SC Introduction to Electrical Engineering And Computer Science I

• MIT 6.02 Introduction to EECS II: Digital Communication Systems

• UCB EECS16A Designing Information Devices and Systems I

• UCB EECS16B Designing Information Devices and Systems II

• MIT 18.S191 Introduction to Computational Thinking

• TUDelft - Introduction to Functional Programming

Data Structure & Algorithms

• UIUC Accelerated Computer Science Fundamentals Specialization

• MIT 6.851 Advanced Data Structures

• Stanford CS261 A Second Course in Algorithms

TCS

• MIT 18.404J Theory of Computation

• Tim Roughgarden - Incentives in Computer Science (Short Intro Course)

• CMU 15-751 CS Theory Toolkit

• UW CS599 Analytic and Geometric Methods in TCS

Data Science

• UCB DATA100 Principles and Techniques of Data Science
• CMU 15-388 Practical Data Science

Math

• MIT 18.S096 Topics In Mathematics With Applications In Finance
• UCB MATH128 Numerical Analysis
• Steve Brunton - Engineering Math: Vector Calculus and Partial Differential Equations
• Steve Brunton - Engineering Math: Differential Equations and Dynamical Systems
• Steve Brunton - Engineering Math: Crash Course in Complex Analysis

Miscellaneous

• Adam Teman - SoC101 Everything you wanted to know about a computer but were afraid to ask
• University of Boon Modern C++ Lectures & Tutorials
• MIT 16.842 Fundamentals of Systems Engineering
• UCSD CS258 Web Mining and Recommender Systems
• Stanford CS183 How to Start a Startup
• CMU 15-150 Principles of Functional Programming