--- tags: year2-2 --- # Computer Engineering Mathematics ## Introduction ### Linear Algebra Linear Algebra is the study of linear system such as - function of vector to vector - optimization (finding minimum/maximum) of such function Several classes of problem can be solved using Linear Algebra. - Regression (predicting measurement from certain features) - Represent input and output as vector - Define prediction model (Linear, Quadratic, ANN (Artificial Neural Network) - Find model parameter that minimize prediction error - PageRank (ranking website that was used by Google) - Assigning rank based on hyperlink between pages ### Course Objective In this class we will study - Relationship and transformation of linear system - Relationship of linear system to geometry ### Course Material - Watch khan acaedemy videos - You **must** be able to do problems in Exam Preparation "because it's easy". - Monday: problem assignment. watching videos. - Thursday: problem session - 40% Basic Problem, 40% Hard problem, 20% Homework - Book and video are interchangable (see mapping)