Course catalogue
37 courses, each with a University track and a Professional track, hands-on labs, module exercises, quizzes and a certifying exam.
Calculus I & II
Master single-variable calculus through rigorous analytical proofs and applied computational engineering workflows.
Discrete Mathematics
Master formal proofs, combinatorics, graph theory, and discrete structures underpinning software and cryptography.
Electrical & Electronic Engineering Fundamentals
Master foundational circuit theory, semiconductor physics, signal analysis, and industrial hardware design.
Linear Algebra
Master rigorous vector space theory and high-performance matrix computations for data science and engineering.
Mechanical Engineering Fundamentals: Statics, Dynamics & Thermodynamics
Master analytical statics, multi-body kinematics, and classical thermodynamics for core engineering problem solving.
Probability & Statistics
Master theoretical foundations, asymptotic inference, and scalable computational statistics for quantitative roles.