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## page was renamed from Teachinng/NumericalMethodsFall2014

Numerical Methods (CS 357)

Class Time/Location

TR 9:30am-10:45am / 1410 Siebel

Class Webpage

http://bit.ly/cs450-s14

Web forum

Piazza

Homework submission/grades

UIUC Moodle

Team

Andreas Kloeckner

Instructor

Andreas Kloeckner

Email

andreask@illinois.edu

Office

4318 Siebel

Office Hours

Tuesdays and Thursdays 10:45 am to 11:45 am (after class)

Textbook/Material

(TBD)

Updates/Calendar

August 26, 2014 (Tuesday)
Class starts at 9:30am. See you then, bright and early!

Class Material

(TBD)

Homework

(TBD)

Schedule

Date

Chapter

Topic

T

Aug 26

R

Aug 28

T

Sep 2

R

Sep 4

T

Sep 9

R

Sep 11

T

Sep 16

R

Sep 18

T

Sep 23

R

Sep 25

T

Sep 30

R

Oct 2

T

Oct 7

R

Oct 9

T

Oct 14

R

Oct 16

T

Oct 21

R

Oct 23

T

Oct 28

R

Oct 30

T

Nov 4

R

Nov 6

T

Nov 11

R

Nov 13

T

Nov 18

R

Nov 20

T

Nov 25

Thanksgiving break

R

Nov 27

T

Dec 2

R

Dec 4

T

Dec 9

?

TBD

Final exam

Grading

  • Late Work policy: Work submitted after the deadline will count for half of its original worth. This offer is good for up to one week after the original deadline. After that, no late work will be accepted. You get exactly one submission per homework set. In particular, this means that:

    • No regrading of work already graded. If, between the posted solution and your graded work, you still have questions, feel free to raise those on Piazza or during the TA's office hours.
    • We do not accept partial submissions unless you have a very good reason. (e.g. we won't let you submit problem 1 and 2 before and 3,4,5 after the deadline.) If you modify your submission after the deadline but before it's graded, your entire submission will be counted as late.
    In addition, the grading policy is set up so that you can mess up on the homework quite badly without a drastic impact on your grade. The homework is *intended* as a learning experience, so making mistakes is OK.
  • Make-up exam policy: Make-up exams must be requested at least one week before the original or make-up date, whichever is sooner.

  • Please let me (Andreas) know as soon as you can if you need special accommodations (extra time etc.) on exams. Thanks!

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

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

Previous editions of this class

Python Help

Numpy Help

Teaching/NumericalMethodsFall2014 (last edited 2014-07-28 15:23:51 by AndreasKloeckner)