Course description
The student is introduced to basic numerical methods which are used to solve practical scientific problems. Important concepts such as accuracy, stability, and efficiency and convergence are discussed in order to obtain a working knowledge of how to apply numerical methods to real-world problems
Course Learning Outcomes
On successful completion of this module, the student will be able to
- Students will demonstrate the ability to solve problems, including applications outside of mathematics.
- Facility with mathematics is perhaps the ultimate transferable skill for a computer scientist or engineer, promoting a logical and analytical approach to problem solving over a wide range of topics and domains, and providing a toolkit of general principles for understanding relationships between concepts and objects.
Course Content
- Introduction to Numerical Methods
- Polynomial Interpolation
- Numerical integration
- Numerical differentiation
- Numerical Linear Algebra
- Simulation Basics
Course reading Materials
- Numerical Analysis, 9th Edition, Richard Burden and J. Douglas Jaires, Publisher: McGraw-Hill Companies (1998), ISBN: 13-978-0-538-73351-9
- Numerical Methods, Rao V. Dukkipati, Publisher: New Age International (P) Ltd (2010),