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Numerical Analysis (CS 450) Fall 2024

What Where
Time/place Tue/Thu 11:00am--12:15pm 1320 Digital Computer Lab / Catalog
Class URL https://bit.ly/cs450-f24
Class recordings Illinois Mediaspace
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Quizzes

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Homework

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4-Credit Hour Assignments

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.

Course Outline

CAUTION!

These scribbled PDFs are an unedited reflection of what I 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)

Email: andreask@illinois.edu

Office: 4318 Siebel

Jack Weinstein

Jack Weinstein

(TA)

Email: weinstn2@illinois.edu

Office: CS Tutoring Space in Siebel

Yu-Hsiang Lan

Yu-Hsiang Lan

(TA)

Email: lan14@illinois.edu

Office: CS Tutoring Space in Siebel

Yuning Zhao

Yuning Zhao

(TA)

Email: yuningz4@illinois.edu

Office: CS Tutoring Space in Siebel

Victor Murta

Victor Murta

(TA)

Email: vmurta2@illinois.edu

Office: CS Tutoring Space in Siebel

Statement on CS CARES, Values, and Code of Conduct

All members of the Illinois Computer Science department---faculty, staff, and students---are expected to adhere to the CS Values and Code of Conduct. The CS CARES Committee is available to serve as a resource to help people who are concerned about or experience a potential violation of the Code. If you experience such issues, please contact the CS CARES Committee. The instructor of this course are also available for issues related to this class.

Textbook

Scientific Computing: An Introductory Survey

Scientific Computing: An Introductory Survey / E-Book (accessible free of charge from campus network/VPN)

Michael T. Heath, Revised Second Edition, Society for Industrial and Applied Mathematics

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.

Running Code on your Own Computer

While running code in this online system should technically suffice to do your work for this class, you may find it useful to also install Python on your own computer.

The recommended way of doing so involves downloading the Anaconda Python distribution. Note that this is a commercial product (even if it is free of charge), and this is not intended as an endorsement of the company or the product. Note that we cannot promise to provide technical support for this installation.

Download Anaconda Python »

Another way to run Python code is through an online JupyterLab available through the course. Go to https://relate.cs.illinois.edu/lab get started. NOTE that this environment runs entirely in your browser. If you clear your browser data, any work 'saved' there will be irretrievably lost.

Grading Policies

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Python Help

Numpy Help

(see section 1 of the outline for more)

Python workshop material