critical-thinking/course_outline/current_learning.md

Learning Path

Definitely Enroll

1. Model Thinking
2. ASU Complex Systems Science
3. Computational Social Science Graduate Certificate

Review of Fundamentals

1. Set Theory and Logic Lectures
2. Introduction to Symbolic Logic
3. An Introduction to Propositional Logic
4. An Introduction to Predicate Logic
5. UML Diagrams for Beginners
6. Stanford CS109 Introduction to Probability for Computer Scientists I 2022 I Chris Piech CS 109
7. Object Oriented Systems Analysis and Design (Systems Analysis and Design in a Changing World)
8. Optimization and simulation

Core Computer Science

1. Foundations of Computer Science University of Toronto
2. Introduction to Computer Science
3. Algorithm Design Manual
4. Data Modeling Essentials

Core Statistics

1. stat_rethinking_2023
2. intuitivebayes
3. Machine Learning and Bayesian Inference
4. Advanced Data Analysis
   • ADA Reading Group

Process Mining

1. process mining

Core Systems

1. fundamentals-of-systems-engineering
2. introduction-to-system-dynamics
3. computational-science-and-engineering
4. Intro to Numerical Methods
5. Differential Equations

Additional Systems Science

1. SOS 220 (2023, Spring): Systems Thinking
2. SOS 212 (2022, Fall): Systems, Dynamics, and Sustainability
3. IEE 475 (2022, Fall): Simulating Stochastic Systems - Classroom Recordings
4. IEE/CSE 598 (2022, Spring): Bio-Inspired AI and Optimization - Classroom Recordings
5. IEE 475 (2021, Fall): Simulating Stochastic Systems - Classroom Recordings
6. Essential Numerical Methods

Extra Resources and Demonstrations

1. HSMA Program & hsma3 github
2. HSMA4
3. Artificial Intelligence
4. Drawing Causal Inference from Big Data
5. MIT 6.868J The Society of Mind, Fall 2011
6. Probabilistic Modelling and Inference Course
7. Operations Research
8. MIT 18.404J Theory of Computation, Fall 2020
9. Artificial Intelligence: Knowledge Representation and Reasoning
10. Foundations of Artificial Intelligence
11. Math 3342 (Theory of Computation) Spring 2022