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.

Alier Ëë Reng https://www.alierwaaireng.com/
01-06-2019

Textbook

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

Topics

  1. Algebra Reference
  2. Linear Functions
  3. Systems of Linear Equations and Matrices
  4. Linear Programming: The Graphical Methods
  5. Linear Programming: The Simplex Method
  6. Mathematics of Finance
  7. Logics
  8. Sets and Probability
  9. Counting Principles: Further Probability Topics
  10. Statistics
  11. Markov Chains
  12. 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}
}