Resources for "Systems" Disciplines

Core Mathematical Modeling

• Constraint Programming
• Hands-On Mathematical Optimization with Python
• Data Driven Science and Engineering
• Little Book of Discrete Event Simulation
• Mojo GPU Programming
• Computational Neuroscience Tutorials
• Introduction to Computational Thinking and Data Science
• Introduction to Computational Thinking

1. Intro to Numerical Methods
2. Differential Equations
3. Numerical Analysis
4. Signals and Systems
5. Essential Numerical Methods
6. Engineering Math: Differential Equations and Dynamical Systems
7. Differential Equations
8. Computational Science and Engineering
9. Feedback Systems
10. Signals and Systems
11. Dynamics and control
12. Control Systems
13. DP and Optimal Control
14. Reinforcement learning
15. awesome-control-theory
16. Math cheatsheets
17. awesome-scientific-computing
18. Planning Algorithms
19. Data Driven Dynamics and Control
20. Dynamic Optimization
21. Handbook of Engineering Statistics
22. numerical-linear-algebra
23. Computational Science And Engineering I
24. Engineering Statistics Handbook

Essential Computational Concepts

1. Theoretical Computer Science
2. Computational Complexity Theory
3. Computability Theory
4. Theory of Computation
5. Computational problems
6. List of Complexity Classes
7. Algorithms
8. Approximation Theory
9. Approximation Algorithms
10. Models of Computation
    • Automata
11. Finite State Machines
12. Combinatorial algorithms
13. Data structures

Relevant CS Classes

• Tim Roughgarden Lectures
• Stanford Computer Science Course Graph
• Practical Electronics
• Circuits & Electronics for Non-EEs

1. Foundations of Computer Science University of Toronto
2. Introduction to Computer Science
3. Algorithm Design Manual
4. Data Modeling Essentials
5. Design of Algorithms
6. MIT 18.404J Theory of Computation, Fall 2020 Course Website
7. Algorithm Design and Analysis: Biologically Inspired Algorithms
8. Evolutionary Algorithms (EAs)
9. MIT 6.006 Introduction to Algorithms, Spring 2020
10. Computational Thinking
11. How To Design Programs
12. Discrete Math (Full Course: Sets, Logic, Proofs, Probability, Graph Theory, etc)
13. Computational Complexity - NPTEL
14. MIT 18.404J Theory of Computation, Fall 2020
15. Undergrad Complexity Theory at CMU
16. Complexity Theory I - Easy Theory
17. Computational Complexity Lectures
18. Mathematics for Computer Science