# CE 335: Computational Methods in Civil Engineering (Fall 2017)

Class syllabus

### Class materials

Lecture notes

Lab notes

Term project description

Rubric for term project

### Lectures, related readings, and homework due dates (subject to change)

**01** (Aug 29): YM lecture 3; MQR; K section 01.01,01.07

**02** (Sep 5): YM lectures 4 and 28; K section 01.02-01.06; Homework 1 due

**03** (Sep 12): YM lectures 8-12; K sections 04.01-04.09, 04.11; Homework 2 due

**04** (Sep 19): YM lectures 14-16; K section 04.10; Homework 3 due

**05** (Sep 28): YM lecture 27; K sections 02.01-02.03; Homework 4 due

**Midterm** (Oct 3)

**06** (Oct 5): YM lectures 21-22; K sections 07.01-07.08; Homework 5 due

**07** (Oct 12): YM lectures 29-31; K sections 08.01-08.05; Homework 6 due

**08** (Oct 19): YM lecture 33; K section 08.07; Homework 7 due

**09** (Oct 26): YM lecture 19; K sections 05.01-05.10; Homework 8 due

**10** (Nov 2): YM lecture 20; K sections 06.01-06.05; Homework 9 due

**Midterm** (Nov 7)

**11** (Nov 9): YM lectures 5-6, 13; K sections 03.03-03.06; K sections 09.01-09.02; Homework 10 due

**12** (Nov 16): Homework 11 due

**Term project presentations**

**Final**

K: Kaw, *Numerical Methods with Applications*

YM: Young and Mohlenkamp, *Introduction to Numerical Methods and Matlab Programming for Engineers*

MQR: Matlab Quick Reference

### Useful online resources for supplementary reading (and project ideas)

Official Matlab documentation

Introduction to Matlab

Pav, *Numerical Methods Course Notes*

Moler, *Numerical Computing with MATLAB*; *Experiments with MATLAB*; Essays; Blog

Collins, *Fundamental Numerical Methods and Data Analysis*

Kaw, Holistic Numerical Methods: extensive explanations and examples for individual methods

Kaw, *Introduction to Matrix Algebra*

What Every Programmer Should Know About Floating-Point Arithmetic: good explanations of roundoff error

Herz-Fischler, *An Introduction to Octave for High School and University Students*

Stahel, Octave Introduction and Applications

Wilson et al., "Best Practices for Scientific Computing"