Introduction to Numerical Analysis |
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Welcome to the class website for Introduction to Numerical Analysis . Numerical approaches play an important role in many fields including in scientific research, engineering, finance, machine learning, and data analysis. This class will discuss both the mathematical foundations and the practical implementation of modern numerical methods. Examples also will be discussed from related applications areas. Please be sure to read the prerequisites and grading policies for the class. Selection of Topics Covered in 104 Series:
Prerequisites:Calculus, Linear Algebra, Differential Equations, and some experience programming. Grading:The grade for the class will be based on the homework assignments (see policy below), midterm exam, and final exam as follows: Homework 30% Policies:Homework and other assignments will be given in class and posted on the course website. Prompt submission of homeworks will be required. While no late homework will be accepted,one missed homework will be allowed without penalty. While it is permissible and encouraged for you to discuss materials with classmates, the submitted homework must be your own work. Class Announcements:
Supplemental Materials:
Homework Assignments:Please be sure to turn in all homeworks by 11pm PST on the due date following the instructions on the Canvas page. These will be graded by the TA Andre Martins Rodrigues . Teaching Assistant Info: Andre Martins Rodrigues, South Hall 6432K, Office Hours: This would be a good opportunity for additional help with the course materials. - Example python code : Neville's Method [PDF] [Python Code] [Jupyter Notebook] HW1: (Due Wednesday, January 18) 1.1: 2abc, 3ac, 8, 9abcd, 11, 14, 15, 25; 1.2: 1cd, 2ab, 5ab, 10, 11ab, 15ab, 16, 17, 25. Since many did not yet have textbook, you can find a copy of the problems here [PDF]. You can also purchase a print copy or electronic version online at [amazon link]. Additional InformationEdit: Main | Menu | Description | Info | Image | Log-out | CS |