1. Introduction to Computer Science and Programming Using Python

This course teaches the fundamentals of computer science, providing students with the skills to write small-scale Python programs.

2. Introduction to Deep Learning

Focused on deep learning techniques, this course provides a strong foundation in machine learning and artificial intelligence.

3. Circuits and Electronics

Explore circuit analysis techniques, electronic devices, and amplifiers in this introductory course on electrical engineering.

4. Linear Algebra

Learn the core concepts of linear algebra, including vector spaces, matrix multiplication, eigenvalues, and eigenvectors.

5. Artificial Intelligence

Study AI fundamentals, such as knowledge representation, search algorithms, inference mechanisms, and machine learning.

6. Quantum Mechanics

Dive into the world of quantum mechanics, covering concepts like wave-particle duality and Schrödinger’s equation.

7. Differential Equations

Discover applications of differential equations in various fields while learning solution methods and techniques.

8. Cryptography and Cryptanalysis

Explore the principles and practice of cryptography as well as current research topics in cryptanalysis.

9. Microeconomics

Gain an understanding of microeconomic theory principles like supply & demand, utility functions, and market equilibrium.

10. Macroeconomics

Study macroeconomic theory concepts such as national income determination, inflation dynamics, and economic growth models.

11. Game Theory

Learn about strategic decision-making through classic game theory examples like Nash equilibrium and prisoner’s dilemma.

12. Introduction to Algorithms

Develop algorithm design skills by studying topics like divide-and-conquer algorithms, dynamic programming, and graph algorithms.

13. User Interface Design and Implementation

Learn how to create user interfaces that are effective and engaging using design principles and prototyping tools.

14. Computational Thinking & Data Science

Explore data-driven modeling using fundamental statistical tools, machine learning techniques, and data visualization methods.

15. Molecular Biology Fundamentals

Study molecular biology concepts like DNA replication, gene expression, and protein synthesis in this introductory course.

16. Principles of Synthetic Biology

Discover the process of designing and constructing new biological systems and their applications in various industries.

17. Climate Change Science & Policy

Learn about climate change impacts and mitigation strategies while exploring the role of policy development in addressing global warming.

18. Human Rights Law & Practice

Study human rights law principles and their practical application in addressing human rights violations worldwide.

19. Statistical Learning Theory

Understand the principles of statistical learning theory, exploring topics like parameter estimation, supervised learning, and regularization.

20. Decision Analysis

Learn decision theory fundamentals like probability distributions, decision trees, risk analysis, and value of information.

21. Introduction to Aerospace Engineering

Explore the dynamics and control systems involved in rocket propulsion, orbital mechanics, and satellite design.

22. Theory of Computation

Study computation models like Turing machines, finite automata, and languages through concepts such as decidability and complexity classes.

23. Representation Theory

Learn about group representations as a powerful tool with applications in physics, chemistry, and mathematics.

24. Networks

This course covers network theory concepts to understand the structure and behavior of social networks, computer networks, and more.

25. Quantum Field Theory

Delve into advanced quantum mechanics through the study of quantum fields with topics like gauge theories and particle interactions.

26. Operations Management

Learn operations management fundamentals to optimize supply chains, inventory management systems, quality assurance processes, and project management techniques.