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=== Virtual Machine Image ===

See ComputeVirtualMachineImages to obtain a virtual machine image that you can use to follow the computational exercises in the class and do your homework.

Information on this web page should be considered preliminary and is subject to change until the beginning of class.

Textbook cover

Numerical Analysis (CS 450)

Class Time/Location

MWF 9:00am-9:50am / 1310 DCL

Class Webpage

http://bit.ly/cs450-s14

Web forum

Piazza

Team

andreas.jpeg

Instructor

Andreas Kloeckner

Email

andreask@illinois.edu

Office

4318 Siebel

Office Hours

TBD

avatar-default.png

TA

Kaushik Kalyanaraman

Email

kalyana1@illinois.edu

Office

??? Siebel

Office Hours

TBD

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TA

Sweta Seethamraju

Email

seetham2@illinois.edu

Office

??? Siebel

Office Hours

TBD

Textbook

Updates/Calendar

May 14, 2014 (Wednesday)

Final exam at 1:30-4:30 PM.

March 14, 2014 (Friday)
No class because of Engineering Open House
January 22, 2014 (Wedensday)
Class starts at 9am. See you then, bright and early!

Grading

Homework/Quizzes

30%

Exam #1

20 %

Exam #2

30 %

Final Exam

30 %

Probable grading scale:

graduate

undergraduate

A

[90, 100)

[85, 100)

B

[80, 90)

[72, 85)

C

[70, 80)

[60, 72)

D

[60, 70)

[50, 60)

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.

A virtual machine image with all required software will be provided.

Previous editions of this class

Virtual Machine Image

See ComputeVirtualMachineImages to obtain a virtual machine image that you can use to follow the computational exercises in the class and do your homework.

Python Help

Teaching/NumericalAnalysisSpring2014 (last edited 2014-04-17 20:10:25 by AndreasKloeckner)