1. Introduction to Computer Science and Programming Using Python. Topics: • A Notion of computation • Python programming language • Some simple algorithms • Informal introduction to algorithmic complexity • Data Structures and more 🔗

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2. Machine Learning with Python Topics: • ML problem principles • Implement & analyze models • Choosing suitable models for different apps • ML project implementation: Training, validation, tuning, and feature engineering 🔗

4. Supply Chain Analytics Topics: • Basic analytical methods • How to apply basic probability models • Statistics in supply chains • Formulating and solving optimization models 🔗

5. Understanding the World Through Data. Topics: • Python programming and the Colab notebook programming environment • Dependent and independent variables • Relationships between data using linear and polynomial regression models And more 🔗

6. Becoming an Entrepreneur Topics: • Overcoming the top myths of entrepreneurship • Defining your goals as an entrepreneur and startup • Identifying business opportunities • Performing market research and choosing your target customer 🔗

7. Computational Thinking for Modeling and Simulation Topics: • Interpolation methods and their impact on model convergence • Numerical integration techniques • Procedures for numerical differentiation • Solving linear and nonlinear equations 🔗

8. Foundations of Modern Finance Topics: • Valuation of fixed income securities and common stocks • Risk analysis, APT, Efficient Market Hypothesis • Introduction to corporate finance and capital budgeting and more 🔗

9. The Secret of Life Topics: • How to describe the building blocks of life and how their interactions dictate structure and function in biology • How to predict genotypes and phenotypes given genetics data and more 🔗

10. The Science of Uncertainty and Data Topics: • The basic structure and elements of probabilistic models • Random variables, their distributions, means, and variances • Probabilistic calculations • Inference methods and more 🔗

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These listed topics all align with artificial intelligence and advanced computing. " MIT OpenCourseWare (OCW)."