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Prerequisite for both is CS1-2. Either course (Berkeley and Carnegie Mellon) is suitable as an alternative to nand2tetris and/or 6.004 as the required course of choice for Computer Architecture/Organization. The Princeton course that's already here would have one of these 4 courses as a prerequisite and is suitable as an elective.
7.1 KiB
7.1 KiB
Computer Science - Great Courses
This is a list of high-quality courses that, for one reason or another, didn't make it into the curriculum. The most common reasons are that the course isn't available often enough, or that there was an alternative that fit better into the curriculum.
Programming
Math
Courses | Duration | Effort |
---|---|---|
Effective Thinking Through Mathematics | 4 weeks | 2 hours/week |
Introduction to Mathematical Thinking | 10 weeks | 10 hours/week |
Introduction to Probability and Data | - | - |
Linear Algebra (Strang) | - | - |
Multivariable Calculus | 13 weeks | 12 hours/week |
Systems
Courses | Duration | Effort |
---|---|---|
Cloud Computing / Distributed Programming | 5 weeks | 5-10 hours/week |
Intro to Computer Systems (Labs) | 15 weeks | 12 hours/week |
Great Ideas in Computer Architecture (Machine Structures) (Lectures) | 15 weeks | 12 hours/week |
Computer Architecture | - | 5-8 hours/week |
Operating System Engineering | - | - |
Introduction to Operating Systems | 8 weeks | 5-8 hours/week |
Advanced Operating Systems | 5 weeks | 5-8 hours/week |
Computer Networking | 12 weeks | 5-8 hours/week |
Theory
Courses | Duration | Effort |
---|---|---|
Algorithms, Part I | 6 weeks | 6-12 hours/week |
Algorithms, Part II | 6 weeks | 6-12 hours/week |
Analysis of Algorithms (Sedgewick) | 6 weeks | 6-8 hours/week |
Analysis of Algorithms (Skiena) | 15 weeks | 6-8 hours/week |
Programming Challenges (Skiena) | 14 weeks | 6-8 hours/week |
Data Structures and Algorithms (Specialization) | 25 weeks | 3-10 hours/week |
Algorithmic Thinking (Part 1) | - | - |
Algorithmic Thinking (Part 2) | - | - |
Statistical Mechanics: Algorithms and Computations | - | - |
Approximation Algorithms Part I | - | - |
Approximation Algorithms Part II | - | - |
Applications
Courses | Duration | Effort |
---|---|---|
Using Databases with Python | 5 weeks | 2-3 hours/week |
Database Systems | - | 27 hours |
Database Management Essentials | 7 weeks | 4-6 hours/week |
Intro to Artificial Intelligence | 16 weeks | 6-10 hours/week |
Intro to Machine Learning | 10 weeks | 6-10 hours/week |
Machine Learning for Data Science and Analytics | 5 weeks | 7-10 hours/week |
Processing Big Data with Azure HDInsight | 5 weeks | 3-4 hours/week |
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center | 7 weeks | 4-5 hours/week |
Tools
Courses | Duration | Effort |
---|---|---|
How to Use Git and GitHub | 3 weeks | 2-3 hours/week |
Kubernetes Certified Application Developer | 5 weeks | 2 hours/week |
Online Learning - Great Courses
Courses | Duration | Effort |
---|---|---|
Learning How to Learn | 4 weeks | 2 hours/week |
Mindshift | 4 weeks | 2 hours/week |