The Main Objective of this Course is to improve the Analytical, logical thinking of the Students which in turn improves their ability of giving conclusions based on quantitative information , model the engineering problems and obtain its solutions mathematically. On completion of this course, students will be able to understand science, engineering and computer science problems analytically and logically
This topic deals with Logic-Set theory-Graph theory -Group theory- Numerical methods to solve the equations and Numerical interpolation ,differentiation and integration.
- Teacher: Aghalya T
Linear algebra is the most important math skill in machine learning. A dataset is represented as a matrix. Linear algebra is used in data pre-processing, data transformation, and model evaluation.
Objectives:
- Construct, or give examples of, mathematical expressions that involve vectors, matrices, and linear systems of linear equations.
- Evaluate mathematical expressions to compute quantities that deal with linear systems and eigenvalue problems.
- Analyse mathematical statements and expressions (for example, to assess whether a particular statement is accurate, or to describe solutions of systems in terms of existence and uniqueness).
- Write logical progressions of precise mathematical statements to justify and communicate your reasoning.
- Apply linear algebra concepts to model, solve, and analyse real-world situations.
- Teacher: VIMALA RANI A