37 Industrial Mathematics Degree Courses in Nigeria

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Courses Under Industrial Mathematics Degree

On this article, I am going to list out all Industrial Mathematics course outline in Nigeria Universities which you will study before you can to become a graduate of Industrial Mathematics. Normally, a course outline should contain; course name, course description, course hours etc… but I am going to skip that information and go straight to Industrial Mathematics subjects for university students.

I will only list out the subjects; that is, course names which will exclude GST Courses and those courses with part II and III to avoid too much information. There is no guarantee that the listed Industrial Mathematics subjects (courses) will be fully covered in your school because universities in Nigeria does not use a uniform curriculum. Nevertheless, you will study 97% of Industrial Mathematics courses listed here.

The following Industrial Mathematics courses in Nigeria listed here do not follow the traditional course structure and they have been arranged in alphabetical order. Notwithstanding, the list here covers 100 level courses, 200 level courses 300 courses and 400 level courses.

 

The following are the list of Industrial Mathematics Courses in Nigeria

  1. Classical Mechanics
  2. Computer Programming
  3. Control Theory and Optimization
  4. Control Theory and Project Management
  5. Discrete Mathematics
  6. Distribution Theory
  7. Elasticity
  8. Elementary Differential equations
  9. Elementary Mathematics
  10. Financial Mathematics
  11. Fluid Dynamics
  12. General Biology
  13. General Chemistry
  14. General Physics
  15. Introduction to Computer Science
  16. Introduction to Industrial Mathematics
  17. Introduction to numerical analysis
  18. Introduction to Operations Research
  19. Library Studies
  20. Linear Algebra
  21. Mathematical Computing
  22. Mathematical Methods
  23. Mathematical Modelling
  24. Nigerian People and Culture
  25. Numerical Analysis
  26. Optimization Theory
  27. Ordinary Differential Equations
  28. Probability
  29. Real Analysis
  30. Sets Logic and Algebra
  31. Special Topics in Industrial Mathematics
  32. Statistical Inference
  33. Systems Theory
  34. Theory and Applications of Neural Networks
  35. Theory and Applications of Ordinary Differential Equations
  36. Theory and Applications of Partial Differential Equations
  37. Vector Analysis

 

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