Mathematics For CS/AI

Mathematical Foundations for AI and Algorithmic Thinking is a comprehensive course designed to build the core mathematical intuition required for Artificial Intelligence, Machine Learning, and advanced algorithms.

Master the mathematical pillars of AI—Discrete Mathematics, Calculus, Probability, and Linear Algebra. Learn to transform abstract formulas into practical tools for building intelligent technology. Explore the ideas behind intelligent systems through hands-on mathematical modeling connecting theory to neural networks, optimization, probabilistic learning, and high-dimensional data. This journey is designed to turn mathematical principles into clarity, confidence, and creative problem-solving, whether your path leads to Machine Learning, Data Science, competitive programming, or AI research.  

• BS (CS/SE/AI/Data Science) students who have completed at least 2 years of study
• Graduates and professionals who feel that they need to refresh their mathematical knowledge

Whether you are beginning your journey, preparing to enter the job market, or upgrading your technical depth, this course provides a solid grounding in the four most important areas of mathematics that an AI engineer and algorithm designer needs: Discrete Mathematics, Calculus, Linear Algebra, and Probability.