Skip to content Skip to navigation

Numerical Analysis and Computing

01:198:323

To expose the student to the development, application, and analysis of basic numerical algorithms.

Credits: 
4
Prerequisite: 
01:640:152; 01:640:250. Credit not given for this course and 01:640:373.
 
Please note that courses for which a student has received a grade of D cannot be used to satisfy prerequisite requirements.
Topics: 
Solution of non-linear equations
Solution of linear algebraic systems
Approximation, interpolation
Numerical differentiation and integration
Solution of ordinary differential equations
Expected Work: 

Textbook assignments, some programs

Exams: 
1 or 2 hourlies, Final Exam
Learning Goals: 
Computer Science majors ...
  • will be prepared to contribute to a rapidly changing field by acquiring a thorough grounding in the core principles and foundations of computer science (e.g., techniques of program design, creation, and testing; key aspects of computer hardware; algorithmic principles).
  • will acquire a deeper understanding on (elective) topics of more specialized interest, and be able to critically review, assess, and communicate current developments in the field.
  • will be prepared for the next step in their careers, for example, by having done a research project (for those headed to graduate school), a programming project (for those going into the software industry), or some sort of business plan (for those going into startups).
Semester: 
Spring
Course Type: 
Undergraduate

Check the University Schedule of Classes to see if this course is open.

Request an Special Permission Number here if the class is full.