Having a solid foundation in Computer Science is important to become a successful Software Engineer. This guide is a suggested path for university students to develop their technical skills academically and non-academically through self paced hands-on learning. You may use this guide to determine courses to take, but please make sure you are taking courses required for your major in order to graduate. The online resources provided in this guide are not meant to replace courses available at your university. However, they may help supplement your learnings or provide an introduction to a topic.
Recommendations for Academic Learnings
- Introduction to CS CourseTake Introduction to Computer Science courses that provide basic instructions on coding.
- Code in at least one object oriented programming language: C++, Java, or PythonBeginner Online Resources: Coursera – Learn to Program: The Fundamentals, MIT Intro to Programming in Java, Google’s Python Class, Coursera – Introduction to Python, Python Open Source E-Book
Intermediate Online Resources: Udacity’s Design of Computer Programs, Coursera – Learn to Program: Crafting Quality Code, Coursera – Programming Languages, Brown University – Introduction to Programming Languages
- Test Your CodeNotes: Learn how to catch bugs, create tests, and break your software
- Develop logical reasoning and knowledge of discrete mathOnline Resources: MIT Mathematics for Computer Science, Coursera – Introduction to Logic, Coursera – Linear and Discrete Optimization, Coursera – Probabilistic Graphical Models, Coursera – Game Theory
- Develop strong understanding of Algorithms and Data StructuresNotes: Learn about fundamental data types (stack, queues, and bags), sorting algorithms (quicksort, mergesort, heapsort), data structures (binary search trees, red-black trees, hash tables), and Big O.
- Develop a strong knowledge of operating systemsOnline Resources: UC Berkeley Computer Science 162
- Learn UX DesignOnline Resources: Udacity – UX Design for Mobile Developers
- Learn Artificial IntelligenceOnline Resources: Stanford University – Introduction to Robotics, Natural Language Processing, Machine Learning
- Learn how to build compilersOnline Resources: Coursera – Compilers
- Learn cryptographyOnline Resources: Coursera – Cryptography, Udacity – Applied Cryptography
- Learn Parallel ProgrammingOnline Resources: Coursera – Heterogeneous Parallel Programming
- Work on project outside of the classroom.Notes: Create and maintain a website, build your own server, or build a robot.
- Work on a small piece of a large system (codebase), read and understand existing code, track down documentation, and debug things.Notes: GitHub is a great way to read other people’s code or contribute to a project.
- Work on project with other programmers.Notes: This will help you improve your ability to work well in a team and enable you to learn from others.
- Practice your algorithmic knowledge and coding skillsNotes: Practice your algorithmic knowledge through coding competitions like CodeJam or ACM’s International Collegiate Programming Contest.