Dual Enrollment Program DE Course: Math 1029 Contemporary Mathematics

Primarily for students in liberal arts and social sciences.

Math 1029 Contemporary Mathematics covers mathematical approaches to practical life problems. Topics include counting techniques and probability, statistics, graph theory, and linear programming.

This is an LSU Integrative Learning Core (ILC) course that awards general education credit.

Note: Math 1029 is designed for fine arts, liberal arts, political science, communication studies, and most social science majors. It covers topics that students on these career paths will need such as interpreting statistics, understanding probability, using graph theory to model efficient pathways, and solving sales problems with linear programming. Topics may vary. This course is taught in the spring semester and should be preceded by Math 1100 in the fall semester. Students can use the same MyLab Math access code for both courses in this sequence.

Topics & Objectives

Math 1029 Contemporary Mathematics Course Profile
NameLast Modified
Math 1029 Contemporary Math COURSE PROFILE [docx]2026-09-30
Math 1029 Contemporary Math COURSE PROFILE [pdf]2026-09-30

Syllabus & Pacing Guide

Math 1029 Contemporary Mathematics Syllabus & Pacing Guide
NameLast Modified
S26 Math 1029 DE Syllabus [docx]2025-12-10
S26 Math 1029 DE Pacing Guide [docx]2025-12-10

Class Notes

Math 1029 Contemporary Mathematics Class Notes
NameLast Modified
7.1 Graphing and Functions [docx]2022-11-09
7.2 Linear Functions and Their Graphs [docx]2022-11-09
7.3 Systems of Linear Equations in Two Variables [docx]2022-11-09
7.4 Linear Inequalities in Two Variables [docx]2022-11-07
7.5 Linear Programming [docx]2022-11-09
11.1 Fundamental Counting Principle [docx]2019-07-30
11.2 Permutations [docx]2019-07-30
11.3 Combinations [docx]2019-07-30
11.4 Fundamentals of Probability [docx]2019-07-30
11.5 Probability with FCP, Permutations, and Combinations [docx]2019-07-30
11.6 Events Involving Not and Or, Odds [docx]2019-07-30
11.7 Events Including And, Conditional Probability [docx]2019-07-30
11.8 Expected Value [docx]2019-07-30
12.1 Sampling Frequency Distributions Graphs [docx]2019-08-02
12.2 Measures of Central Tendency [docx]2019-08-02
12.3 Measures of Dispersion [docx]2019-08-02
12.4 The Normal Distribution [docx]2019-08-02
12.5 Problem Solving with Normal Distribution [docx]2019-08-02
14.1 Graphs, Paths, and Circuits [docx]2019-08-04
14.2 Euler Paths and Euler Circuits [docx]2019-08-04
14.3 Hamilton Paths and Hamilton Circuits [docx]2019-08-04
14.4 Trees [docx]2019-08-04

Videos