Course Details

  • Instructor Profile: Aanjaneya, Mridul
  • Prerequisite Information:
    01:640:152; 01:640:250. Credit not given for this course and 01:640:373.

    - 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
  • 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).