Numerical Analysis (CS 450) Spring 2022

What	Where
Time/place	Wed/Fri 9:30am–10:45am 180 Bevier Hall / Catalog
Class URL	https://relate.cs.illinois.edu/course/cs450-s22/
Recorded Lectures	https://mediaspace.illinois.edu/channel/cs450_s22

Quizzes

Latest Quiz »

Older quizzes

Homework

Latest Homework »

Older homeworks

4-Credit Hour Assignment

Final Project Submit Final Project Here
Homework 13 4-credit
No Homework 12 4-credit: continue working on final project

Older 4-Credit Assignments

Exams

Review Questions »

Please find information on our upcoming exam between Tuesday, Feb 15 and Thursday, Feb 17 on https://cbtf.illinois.edu/faculty/syllabus. Reserve your time slots in the CBTF as soon as possible--otherwise your preferred times may no longer be available.

You should login to https://cbtf.engr.illinois.edu/sched to automatically pick up a roster affiliation to your courses in the scheduler. That also makes sure the you get the reminder emails when new exams become available to reserve. It’s also good to get your DRES letters of accommodation on file early before you need them, instructions at https://cbtf.illinois.edu/students/dres

The student instructions section of https://cbtf.illinois.edu is good to review, it has guides for our policies, what to do if an exam is missed, how to get support, etc.

The topics of exam 1 will be:

* Chapter 1 (all material covered in lectures, HW, quizzes)
* Chapter 2 (all material covered in lectures, HW, quizzes)
* Chapter 3 (material covered up through Wednesday, Feb 9)

The topics of exam 2 will be:

* Chapter 3 (all material covered in lectures, HW, quizzes)
* Chapter 4 (all material covered in lectures, HW, quizzes)
* Chapter 5 (all material covered in lectures, HW, quizzes)
* Chapter 6 (all material covered in lectures, HW, quizzes)

Office Hours

Note that some office hours are held in-person and others are held online.

Review Session: time 7 PM – 9pm Zoom (Click to Join)
Paul Fischer: time WF 11:30 – 12:30pm Zoom (Click to Join)
Nathanael: Wednesday 5:00 – 7:00, 207 Siebel Center
Raul: Tues/Thurs 1:30pm – 2:30pm Zoom (Click to Join)
Lukas: Mon/Tue 3pm – 4pm, Zoom (Click to join)

Course Outline

Team

Paul Fischer

Paul Fischer

(Instructor)

Email: fischerp@illinois.edu

Office: 4320 Siebel

Nathanael Assefa

Nathanael Assefa

(TA)

Email: nassefa2@illinois.edu

Office: 0207 Siebel

Raul Platero

Raul Platero

(TA)

Email: platero2@illinois.edu

Office: 0207 Siebel

Lukas Spies

Lukas Spies

(TA)

Email: lspies@illinois.edu

Office: 0207 Siebel

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

Also see our class Piazza forum for a discount code for purchasing the book from SIAM.

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 and perhaps one of the easier ways 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 obtain a Python installation is through a virtual machine image:

Download Virtual Machine »