MATHS 465: Topics in Computational Mathematics (1-6)

Syllabus

1. Prerequisite:  Permission of the department chairperson.

2. Course Description:  Selected topics in computational mathematics, with an emphasis on applications of current mathematical software on computers to solve real-world problems.  A total of 6 hours of credit may be earned.

3. Course Objective: Students will become better prepared for using current mathematical software on computers to solve real-life problems that arise in business and industry. 

4. Course Rationale: A successful career as a mathematician or computational scientist in business and industry requires the synthesis of concepts and ideas from many disciplines. The purpose of this course is to help students with different backgrounds gain a thorough command of applications of current mathematical software and their practical application to real-world problems.

5. Course Content: Topics vary by semester.  Possible topics include:  Numerical Solutions to Partial Differential Equations, Computational Techniques of Financial Mathematics, Data Mining, General Linearized Models, Parallel Computing,  Multiscale Methods,  Modeling and Simulation.

6. Course Format: This course may be taught using lectures, discussion, labs, group projects, or other formats appropriate to the topic. 

7. Methods of Evaluating Student Performance: Student evaluation may be based on in-class exams, take-home exams, homework, and group projects. The particular methods used and the weight of each component are at the discretion of the individual instructor.

8. Evaluation of the Course: The instruction of the course is evaluated by departmental student evaluations and peer evaluation. The course is reviewed and revised periodically by the Departmental Undergraduate Programs Committee.

9.  Addendum:  Text or supplementary material will vary according to topic of course.

M. Karls, I. Livshits, R. Stankewitz 3/2007.