This course covers an essential foundation in advance mathematics, which includes powerful tools that can be applied in every area of pure and applied mathematics. Topics include but not limited to linear systems and matrices, determinants, vectors, and the use of relevant integrated development environment (IDE) which ensure inclusive and equitable quality education and promote life-long learning opportunities for all.
This course provides a general overview of data analysis under descriptive and inferential statistics and its importance in information technology, computer science, and research. Topics include population and sampling, measures of location and variability, graphical representation of data, normal curve, and tests of relationship and difference between means. This course also introduces validity, reliability, and item analysis of tests and other research instruments related to computing.