Academics
Areas of Study

Course Overview

This is an introductory course in probability and statistics for science and information technology students. It covers basic concepts of probability and statistics, frequency distributions, graphical methods, measures of central tendency and variability, counting principles, Bayes’ theorem, discrete and normal probability distributions, linear regression models, correlation, central limit theorem, sampling variability, confidence intervals, and hypothesis testing. Applications to different fields are included throughout.

Prerequisite: MAT 130 or the equivalent.

Program: Mathematics

Credit: 3

Other Courses

MAT-340

Introduction to Number…

A study of properties of integer numbers. Divisibility…

Mathematics

Credits 3

MAT-348

Introduction to Cryptography

This is an introductory course in cryptography. It…

Mathematics

Credits 3

MAT-360

Introduction to Operations…

This course covers linear programming, the simplex algorithm,…

Mathematics

Credits 3

MAT-361

Numerical Analysis

Numerical differentiation, integration, interpolation, approximation of data, approximation…

Mathematics

Credits 3

MAT-395

Special Topics

Special topics in the discipline, designed primarily for…

Mathematics

Credits 1-5

MAT-410

Foundations of Geometry

A survey of Euclidean, non-Euclidean, and other geometries.…

Mathematics

Credits 3