- Course Number: 01:198:323
- Instructor: Mridul Aanjaneya
- Course Type: Undergraduate
- Semester 1: Spring
- Credits: 4
To expose the student to the development, application, and analysis of basic numerical algorithms.
- Syllabus: https://docs.google.com/document/d/e/2PACX-1vSE8kjCrQoDDOKePVUg52L225IrESwsBiz1BWqrHrsrRt5O5O6PgpsmKjEU_0Xu-g/pub
- Video Intro: https://rutgers.box.com/shared/static/a408rjewq2jo2ibhfk02p3nu44m642fj.mov
- Office Hours Schedule: Mondays (4PM - 6PM), and also by appointment
- Office Hours Remote Link: https://rutgers.webex.com/meet/ma635
- Instructor Profile: Aanjaneya, Mridul
- Prerequisite Information:
- A grade below a "C" in a prerequisite course will not satisfy that prerequisite requirement.
- This course is a Pre-requisite for the Following Courses: 01:198:324 - Numerical Methods, 01:198:424 - Modeling and Simulation of Continuous Systems, 01:198:425 - Brain-Inspired Computing
Solution of non-linear equationsSolution of linear algebraic systemsApproximation, interpolationNumerical differentiation and integrationSolution 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).