Executive Development Programme in Engineering Math Algorithms
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โข Linear Algebra: Vectors, matrices, determinants, vector spaces, eigenvalues, and eigenvectors.
โข Calculus: Single and multivariable calculus, optimization, and differential equations.
โข Probability and Statistics: Descriptive and inferential statistics, probability distributions, hypothesis testing, and regression analysis.
โข Discrete Mathematics: Set theory, logic, relations, functions, and graph theory.
โข Numerical Methods: Root-finding, interpolation, numerical differentiation and integration, and linear and nonlinear equation solving.
โข Optimization Algorithms: Linear and nonlinear programming, gradient descent, and Newton's method.
โข Machine Learning Algorithms: Supervised and unsupervised learning, decision trees, neural networks, and reinforcement learning.
โข Data Structures and Algorithms: Arrays, linked lists, trees, graphs, sorting, and searching algorithms.
โข Computational Complexity: Time and space complexity, Big O notation, P vs NP problem, and NP-complete problems.
โข Parallel and Distributed Computing: Parallel algorithms, message passing, shared memory, and distributed systems.
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