Time: 12:10 pm - 1:30 pm, every Monday and Thursday
Place: Fiber Optic Materials Research Building, Room EHA, Busch campus
Recitation:
No recitation in the first week
Sec01: Monday 7:45 pm - 8:40 pm, Livingston BE-252
Sec02: Thursday 7:45 pm - 8:40 pm Livingston BE-253
Sec03: Thursday 2:15 pm - 3:10 pm Livingston BE-250
Instructor: Peng Zhang
Office: Hill 444
Email: pz149@rutgers.edu
TAs: Ziyi Cai (zc417@scarletmail.rutgers.edu), Qing Chen (qing.chen.ta@rutgers.edu)
Office Hours:
Qing: Monday 4-5 pm, Hill 419
Peng: Wednesday 4-5 pm, Hill 444
Ziyi: Thursday 4-5 pm, Hill 419
Satyam: Friday 4-5 pm, Zoom
Course Description:
This course is an introduction to numerical analysis. During this course, we will learn the concept of error and why we need to analyze and predict it; we will study numerical methods for the basic problems of numerical analysis; we will implement numerical algorithms using programming languages (e.g., MATLAB, Python).
Here is the syllabus.
Prerequisites:
Calculus (01:640:152), linear algebra (01:640:250), high-level programming language (Matlab, Python)
Programming languages:
Matlab (You may get a free license at https://www.mathworks.com/academia/tah-portal/rutgers-university-354167.html#get, you can also use Matlab Online: https://www.mathworks.com/products/matlab-online.html) or Python.
Matlab will be used in class and for homework sample solutions. You are also welcome to use Python for homework questions.
Textbook:
[AH] Elementary Numerical Analysis, 3rd edition, by Kendall Atkinson, Weimin Han
Additional references:
[So] Numerical Algorithms, Justin Solomon (http://people.csail.mit.edu/jsolomon/share/book/numerical_book.pdf)
[Sa] Numerical Analysis, Timothy Sauer
Grading:
Written homework and programming projects: 50%
Exams: 50%
Participation (bonus): 5%