MATH 317 - Computational Methods

Computational Methods - MATH 317

Lecture Meeting: Wednesday 08:00 - 10:00
Catalog Description

Fundamental methods of computational methods and applications; numerical algorithms, linear algebra, differential equations; computer simulation; vectorization, parallelism, optimization and examples on scientific applications.

Course Objectives

Teach the students various computational methods that enable them solving model problems in different fields of Mathematics. Teach the students to use available computational packages such as MATLAB in solving problems from different fields of Mathematics and Mathematical Statistics.

Course Outcomes

1) Knowledge and Understanding: During the lecture the student learns to model different types of problems and select the suitable package and existing programs in these packages to solve the given problems

2) Intellectual Skills: By the end of the course the student is expected to solve real-life problems reflecting the student ability to identify the suitable computational technique for a specific type of problems.

3) Practical Skills: By the end of the course student will have the ability to compare the computational methods for advantages and disadvantages, choose the suitable computational method among several existing methods and implement the computational methods using existing computational software.

4) Transferable Skills: Within the lectures the student is able to transfer ideas and experience, work effectively as a part of a group and independently.

Student Outcomes

   K1-Knowledge of basic theorems and concepts in the different areas of mathematics.

   I1-Ability to understand the different math concepts and be able to implement them in our everyday problems.

  I2-Ability to consider problems that could be solved by implementing concepts from different areas in

   P3- Efficient use of the techniques, skills, and tools of modern mathematics

   S1-Functioning in multi-disciplinary teams

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