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Numerical Methods (CS 357) Spring 2017

What Where
Time/place Section M: TTh 12:30pm-1:45pm 1320 DCL / Catalog (Andreas)
Section N: TTh 2:00pm-3:15pm 1320 DCL / Catalog (Edgar)
Class URL https://bit.ly/cs357-s17
Class recordings Watch » (Section M)
Watch » (Section N)
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Quizzes

Please find the quizzes under their corresponding lecture in the class calendar.

Take Quiz 20 »

Exams

Please find information on our upcoming exams in the corresponding section of 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

Please see the class calendar for homework deadlines (generally Fridays at 5 pm, except for examlet weeks).

Course Outline

CAUTION!

These scribbled PDFs are an unedited reflection of what we wrote during class. They need to be viewed in the context of the class discussion that led to them. See the lecture videos for that.

If you would like actual, self-contained class notes, look in the outline above.

These scribbles are provided here to provide a record of our class discussion, to be used in perhaps the following ways:

  • as a way to cross-check your own notes
  • to look up a formula that you know was shown in a certain class
  • to remind yourself of what exactly was covered on a given day

By continuing to read them, you acknowledge that these files are provided as supplementary material on an as-is basis.

Team

Andreas Kloeckner

Andreas Kloeckner

(Instructor (Section M))

Email: andreask@illinois.edu

Office: 4318 Siebel

Edgar Solomonik

Edgar Solomonik

(Instructor (Section N))

Email: solomon2@illinois.edu

Office: 4310 Siebel

Nathaniel Bowman

Nathaniel Bowman

(TA)

Email: nlbowma2@illinois.edu

Office: 0209 Siebel

Nicholas Christensen

Nicholas Christensen

(TA)

Email: njchris2@illinois.edu

Office: 0209 Siebel

David Raju

David Raju

(TA)

Email: draju2@illinois.edu

Office: 0209 Siebel

Ammar Sakarwala

Ammar Sakarwala

(TA)

Email: ammarks2@illinois.edu

Office: 0209 Siebel

Bhavesh Shrimali

Bhavesh Shrimali

(TA)

Email: bshrima2@illinois.edu

Office: 0209 Siebel

Yizhi Zhu

Yizhi Zhu

(TA)

Email: yzhu44@illinois.edu

Office: 0209 Siebel

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 »

Take policies quiz »

Previous editions of this class

Python Help

(see section 1 of the outline for more)

Numpy Help

Linear Algebra

Statistics (goes beyond class material)

Optimization (goes beyond class material)