Curriculum

• Introduction to Computer Science
• Math (Mathematical Thinking)
• Program Design
• Math (Discrete Math)
• Algorithms
• Programming Paradigms
• Software Testing
• Math (Calculus)
• Software Architecture
• Theory
• Software Engineering
• Math (Probability)
• Computer Architecture
• Operating Systems
• Computer Networks
• Databases
• Cloud Computing
• Math (Linear Algebra)
• Cryptography
• Security
• Compilers
• Parallel Computing
• UX Design
• Computer Graphics
• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• Big Data
• Data Mining
• Internet of Things
• Specializations

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Introduction to Computer Science

Courses	Duration	Effort
Introduction to Computer Science and Programming Using Python	9 weeks	15 hours/week
From Nand to Tetris (Part 1)	6 weeks	5-10 hours/week

Math (Mathematical Thinking)

Courses	Duration	Effort
Effective Thinking Through Mathematics	9 weeks	5 hours/week

Program Design

Courses	Duration	Effort
How to Code: Systematic Program Design - Part 1	5 weeks	8-12 hours/week
How to Code: Systematic Program Design - Part 2	5 weeks	8-12 hours/week
How to Code: Systematic Program Design - Part 3	5 weeks	8-12 hours/week

Math (Discrete Math)

Courses	Duration	Effort
Mathematics for Computer Science	12 weeks	5 hours/week

Algorithms

Courses	Duration	Effort
Algorithms, Part I	6 weeks	6-12 hours/week
Algorithms, Part II	6 weeks	6-12 hours/week

Programming Paradigms

Courses	Duration	Effort
Functional Programming Principles in Scala	7 weeks	5-7 hours/week
Object Oriented Programming in Java	6 weeks	4-6 hours/week

Software Testing

Courses	Duration	Effort
Software Testing	4 weeks	6 hours/week
Software Debugging	8 weeks	6 hours/week

Math (Calculus)

Courses	Duration	Effort
Calculus One	16 weeks	8-10 hours/week
Calculus Two: Sequences and Series	7 weeks	9-10 hours/week

Software Architecture

Courses	Duration	Effort
Software Architecture & Design	8 weeks	6 hours/week

Theory

Courses	Duration	Effort
Automata	6 weeks	8-10 hours/week

Software Engineering

Courses	Duration	Effort
Software Processes and Agile Practices	4 weeks	6-8 hours/week

Math (Probability)

Courses	Duration	Effort
Introduction to Probability - The Science of Uncertainty	16 weeks	12 hours/week

Computer Architecture

Courses	Duration	Effort
Computer Architecture	-	5-8 hours/week

Operating Systems

Courses	Duration	Effort
Operating Systems and System Programming	10 weeks	2-3 hours/week

Computer Networks

Courses	Duration	Effort
Computer Networks	-	4–12 hours/week

Databases

Courses	Duration	Effort
Databases	12 weeks	8-12 hours/week

Cloud Computing

Courses	Duration	Effort
Introduction to Cloud Computing	4 weeks	1 hour/week

Math (Linear Algebra)

Courses	Duration	Effort
Coding the Matrix: Linear Algebra through Computer Science Applications	10 weeks	7-10 hours/week

Cryptography

Courses	Duration	Effort
Cryptography I	6 weeks	5-7 hours/week
Cryptography II	6 weeks	6-8 hours/week

Security

Courses	Duration	Effort
Introduction to Cyber Security	8 weeks	3 hours/week

Compilers

Courses	Duration	Effort
Compilers	9 weeks	6-8 hours/week

Parallel Computing

Courses	Duration	Effort
Heterogeneous Parallel Programming	11 weeks	8-10 hours/week

UX Design

Courses	Duration	Effort
UX Design for Mobile Developers	6 weeks	6 hours/week

Computer Graphics

Courses	Duration	Effort
Computer Graphics	6 weeks	12 hours/week

Artificial Intelligence

Courses	Duration	Effort
Artificial Intelligence	12 weeks	15 hours/week

Machine Learning

Courses	Duration	Effort
Machine Learning	11 weeks	4-6 hours/week

Natural Language Processing

Courses	Duration	Effort
Natural Language Processing	10 weeks	8-10 hours/week

Big Data

Courses	Duration	Effort
Introduction to Big Data	3 weeks	5-6 hours/week

Data Mining

Courses	Duration	Effort
Pattern Discovery in Data Mining	4 weeks	4-6 hours/week

Internet of Things

Courses	Duration	Effort
The Internet of Things	4 weeks	2 hours/week

Order of the classes

This guide was developed to be consumed in a linear approach. What does this mean? That you should complete one course at a time.

The courses are already in the order that you should complete them. Just start in the Introduction to Computer Science section and after finishing the first course, start the next one.

If the course isn't open, do it anyway with the resources from the previous class.

Project Suggestions

• Projects: A list of practical projects that anyone can solve in any programming language.
• app-specs: A curated list of applications specifications and implementations to practice new technologies, improve your portfolio and sharpen your skills.
• FreeCodeCamp: Course that teaches you fullstack JavaScript development through a bunch of projects.
• JavaScript Projects: List of projects related with the JavaScript Path.

References

• Google - Guide for Technical Development
• Coursera
• edX
• Udacity
• Future Learn
• Stanford University
• MIT Open Courseware
• Obtaining a Thorough CS Background Online