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Numerical Analysis (CS 450) Fall 2018

What Where
Time/place MW 3:30pm-4:45pm 1320 DCL / Catalog
Class URL https://relate.cs.illinois.edu/course/cs450-f18/
Class recordings Echo 360 Video »
Web forum View Piazza »
Calendar View Calendar »

Quizzes

The latest five quizzes will be posted below. To access all previous quizzes, go to (Participant, View Grades, follow desired flow grade link, follow arrow flow link). Quizzes will be due by the start of the subsequent lecture.


Quiz 24: Discretization of ODEs using Basis Functions and Basics of PDEs »


Quiz 23: Numerical Solution to ODE BVPs »


Quiz 22: Numerical Solutions to ODEs »


Quiz 21: Composite and Gaussian Quadrature »


Quiz 20: Numerical Quadrature Rules »

Examlets

Three 1-hour examlets will be given electronically in CBTF during the semester and the final is also likley to be in CBTF. Please find information on examlet dates in the class calendar. Reserve your time slots in the testing facility as soon as possible--otherwise your preferred times may no longer be available.

Homework

There will be 6 Homework assignments, released/due on a biweekly basis. They will generally be due at 10 pm Fridays.


Homework 1 » 4-Credit Hour Addendum to Homework 1 »


Homework 2 » 4-Credit Hour Addendum to Homework 2 »


Homework 3 » 4-Credit Hour Addendum to Homework 3 »


Homework 4 » 4-Credit Hour Addendum to Homework 4 »


Homework 5 » 4-Credit Hour Addendum to Homework 5 »


Homework 6 » Addendum to Homework 6 (extra credit for everyone) »

Assignments for 4 Credit-Hour Section

If you are enrolled in CS 450 for 4 credit hours, you will need to complete an addendums for each of the first 5 Homeworks, which will be due one week after the main part of the homework. See the calendar for all homework due dates.

Course Outline

Team

Edgar Solomonik

Edgar Solomonik

(Instructor)

Email: solomon2@illinois.edu

Office: 4229 Siebel

Hao Gao

Hao Gao

(TA)

Email: haogao2@illinois.edu

Office: 0207 Siebel

Raul Platero

Raul Platero

(TA)

Email: platero2@illinois.edu

Office: 0207 Siebel

Isuru Fernando

Isuru Fernando

(TA)

Email: idf2@illinois.edu

Office: 0207 Siebel

Kaushik Kulkarni

Kaushik Kulkarni

(TA)

Email: kgk2@illinois.edu

Office: 0207 Siebel

Textbook

Scientific Computing: An Introductory Survey

Scientific Computing: An Introductory Survey

Michael T. Heath, Second Edition, McGraw-Hill.

Resource site

Computing

We will be using Python with the libraries numpy, scipy and matplotlib for in-class work and assignments. No other languages are permitted. Python has a very gentle learning curve, so you should feel at home even if you've never done any work in Python.

Virtual Machine Image

While you are free to install Python and Numpy on your own computer to do homework, the only supported way to do so is using the supplied virtual machine image.

Download Virtual Machine »

Grading Policies

View policies »

Previous Editions of CS 450

Additional Text Resources

  • Linear Algebra and Its Applications Gilbert Strang, 4th Edition, Harcourt Brace, 1987 (on reserve at Grainger).
  • Numerical Linear Algebra Lloyd Trefethen and David Bau, SIAM, 1997 (on reserve at Grainger).
  • Applied Numerical Linear Algebra James Demmel, SIAM, 1997 (on reserve at Grainger).
  • Matrix Computations Gene Golub and Charles Van Loan, 4th Edition, The John's Hopkins University Press, 2013.
  • Numerical Recipes William Press, Saul Teukolsky, William Vetterling, and Brian Flannery, 3rd Edition, Cambridge University Press, 2007.

Python Help

(see section 1 of the outline for more)

Python Workshop Material

Numpy Help

(see section 1 of the outline for more)