Engineering Mathematics
Build a strong foundation in Discrete Math, Linear Algebra, Calculus, and Probability.
Discrete Math
Propositional logic, sets, relations, functions, graphs (connectivity, matching, coloring), and combinatorics (counting techniques, recurrences).
Linear Algebra
Matrices, determinants, solving systems of linear equations, eigenvalues/eigenvectors, and LU decomposition.
Calculus
Limits and continuity, differentiation (mean value theorem, maxima/minima), and integration fundamentals.
Probability & Statistics
Random variables, distributions (uniform, normal, Poisson, etc.), basic statistics (mean, median, mode, SD), conditional probability, and Bayes’ theorem.
Graph theory and logic problems in discrete math, differentiation/integration in calculus, and key probability concepts (distributions and Bayes) are frequently tested and carry significant weight.