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

Courses	Duration	Effort
Introduction to Computational Thinking and Data Science	10 weeks	15 hours/week
Introduction to Computer Science (Udacity)	7 weeks	10-20 hours/week
An Introduction to Interactive Programming in Python (Part 1)	5 weeks	-
An Introduction to Interactive Programming in Python (Part 2)	-	-
Computing In Python, Part I: Fundamentals and Procedural Programming	5 weeks	10 hours/week
Computing In Python, Part II: Control Structures	5 weeks	10 hours/week
Computing In Python, Part III: Data Structures	5 weeks	10 hours/week
Computing In Python, Part IV: Objects & Algorithms	5 weeks	10 hours/week
Programming Basics	9 weeks	8 hours/week
Object-Oriented Programming	4 weeks	8 hours/week
Object-Oriented Programming with Java (Part 1)	6 weeks	-
Object-Oriented Programming with Java (Part 2)	6 weeks	-
Introduction to Programming with MATLAB	-	-
Introduction to Functional Programming	7 weeks	4-6 hours/week
The Structure and Interpretation of Computer Programs	-	-
Introduction to Haskell	14 weeks	4 hours/week

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)	-	-

Systems

Courses	Duration	Effort
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

Online Learning - Great Courses

Courses	Duration	Effort
Learning How to Learn	4 weeks	2 hours/week
Mindshift	4 weeks	2 hours/week

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