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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.

MAT 130 or the equivalent

Program: Mathematics

Credit: 3

Faculty

Other Courses

MAT-499

Independent Study

Intensive supervised study and research on topics of…

Mathematics

Credits 1-3

MAT-495

Special Topics

Advanced level course on special topics, current issues,…

Mathematics

Credits 1-5

MAT-456

Advanced Calculus II

This course is the second part of a…

Mathematics

Credits 3

MAT-455

Advanced Calculus I

This course is the first part of a…

Mathematics

Credits 3

MAT-451

Internship

This course will help students prepare for their…

Mathematics

Credits 3

MAT-445

Introduction to Complex…

This is an introductory course in complex analysis.…

Mathematics

Credits 3