Detailed Course Information

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MAT 315 - Appl Probability & Statistics
Applied Probability And Statistics Prerequisite: MAT 244 or [(MAT 243/195) and (CSC 202/210)] This course covers applied probability and statistics (both descriptive and inferential), including random variables and their distributions, and applications of standard statistical techniques. Descriptive statistics include appropriate graphic displays, measures of center and variability, correlation and regression as well as proportions and analysis of two-way tables. Significance tests include t-tests and chi-square tests. The role of historical figures in the development of probability and statistics (e.g. Bayes, Bernoulli, Gauss, Pearson, Tukey) is discussed. Focus will be on a concept development (including simulation and derivation), and analysis and interpretation of real data. Analysis/ computation is facilitated by statistics and mathematics software. A data-based research project culminating in a technical report is an integral component to the course. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department Course Attributes: Middle Level Writing Intensive Restrictions: May not be enrolled in one of the following Levels: Non Credit Prerequisites: Prerequisite MAT 315 General Requirements: ( Course or Test: MAT 244 Minimum Grade of D May not be taken concurrently. ) or ( Rule: MAT/CSC: MAT 243/195 and CSC 202 for a total of 1 conditions ) and ( CSC 202 May not be taken concurrently. ) and ( MAT 243 May not be taken concurrently. ) and ( CSC 202 May not be taken concurrently. ) and ( MAT 195 May not be taken concurrently. ) and ( CSC 210 May not be taken concurrently. ) and ( MAT 243 May not be taken concurrently. ) and ( CSC 210 May not be taken concurrently. ) and ( MAT 195 May not be taken concurrently. ) End of rule MAT/CSC

MAT 315 - Appl Probability & Statistics

Applied Probability And Statistics
Prerequisite: MAT 244 or [(MAT 243/195) and (CSC 202/210)]

This course covers applied probability and statistics (both descriptive and inferential), including random variables and their distributions, and applications of standard statistical techniques. Descriptive statistics include appropriate graphic displays, measures of center and variability, correlation and regression as well as proportions and analysis of two-way tables. Significance tests include t-tests and chi-square tests. The role of historical figures in the development of probability and statistics (e.g. Bayes, Bernoulli, Gauss, Pearson, Tukey) is discussed. Focus will be on a concept development (including simulation and derivation), and analysis and interpretation of real data. Analysis/ computation is facilitated by statistics and mathematics software. A data-based research project culminating in a technical report is an integral component to the course.

4.000 Credit hours
4.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Mathematical Sciences Department

Course Attributes:
Middle Level Writing Intensive

Restrictions:
May not be enrolled in one of the following Levels:
Non Credit

Prerequisites:
Prerequisite MAT 315

General Requirements:
( Course or Test: MAT 244
Minimum Grade of D
May not be taken concurrently. )
or
( Rule: MAT/CSC: MAT 243/195 and CSC 202 for a total of 1 conditions )
and
( CSC 202
May not be taken concurrently. )
and
( MAT 243
May not be taken concurrently. )
and
( CSC 202
May not be taken concurrently. )
and
( MAT 195
May not be taken concurrently. )
and
( CSC 210
May not be taken concurrently. )
and
( MAT 243
May not be taken concurrently. )
and
( CSC 210
May not be taken concurrently. )
and
( MAT 195
May not be taken concurrently. )
End of rule MAT/CSC

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Detailed Course Information		Current Aug 26, 2026