# Finite Mathematics

This is a general course for students who are majoring in business, management, economics, or the life or social sciences. It is assumed that a student has taken at least two semesters of high school algebra. I will be teaching this course with R and Python as a part of our Jonglei Institute of Science & Technology (JIST) online program.

# Textbook

Finite Mathematics, 9th Edition by Lial, Greenwell & Ritchey (Pearson, 2008).

# Topics

- Algebra Reference
- Linear Functions
- Systems of Linear Equations and Matrices
- Linear Programming: The Graphical Methods
- Linear Programming: The Simplex Method
- Mathematics of Finance
- Logics
- Sets and Probability
- Counting Principles: Further Probability Topics
- Statistics
- Markov Chains
- Game Theory

### Citation

For attribution, please cite this work as

Reng (2019, Jan. 6). Reng Data Science Institute: Finite Mathematics. Retrieved from https://www.rengdatascience.io/posts/2019-01-06-finite-mathematics/

BibTeX citation

@misc{reng2019finite,
author = {Reng, Alier Ëë},
title = {Reng Data Science Institute: Finite Mathematics},
url = {https://www.rengdatascience.io/posts/2019-01-06-finite-mathematics/},
year = {2019}
}