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FNA962

Foundation of Numerical Analysis

  • Errors and error propagation
  • Root finding
  • Interpolation and approximation
  • Numerical differentiation and integration
  • Numerical linear algebra (if possible)

 

Prerequisites: 
  • Computer programming
  • Foundation of mathematical analysis
  • Linear algebra

 

Grading Policy: 

5-7 points homeworks, quiz and projects

6-7 points midterm exam

7-8 points final exam

 

Teacher Assistants: 

Miss M. Ramezani (Numerical Analysis PhD student)

 

Time: 

Sundays & Tuesdays 8-10

 

Files: 
Term: 
Winter 2018
Grade: 
Undergraduate

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