critical-thinking/course_outline/current_learning.md

Learning Path

Definitely Enroll

1. Model Thinking

Review of Fundamentals

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

Core Math

1. Intro to Numerical Methods
2. Differential Equations
3. Numerical Analysis
4. Signals and Systems
5. Essential Numerical Methods

Core Computer Science

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

Core Statistics

1. stat_rethinking_2023
2. intuitivebayes
3. Advanced Data Analysis
   • ADA Reading Group
4. Applied Multivariate Statistical Analysis

Risk Management

1. Risk Management
2. Quantitative Risk Management

Process Mining

1. process mining

Core Systems

1. fundamentals-of-systems-engineering
2. introduction-to-system-dynamics
3. computational-science-and-engineering

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

Extra Resources and Demonstrations

1. HSMA Program & hsma3 github & HSMA4
2. Drawing Causal Inference from Big Data
3. Probabilistic Modelling and Inference Course
4. Operations Research
5. MIT 18.404J Theory of Computation, Fall 2020 Course Website
6. 6.041 Probabilistic Systems Analysis and Applied Probability
7. Introduction to Spatial Data Science
8. Spatial Regression
9. Spatial Cluster Analysis