Introduction to Programming for Modeling and Simulation

This page will be continuously updated as the course progresses.

Personnel

Lectures and lab work: Johan Carlson, Div. of Systems and Interaction, A3205 (johanc@ltu.se), ext. 2517.

Schedule

Slides for the lectures will be posted here shortly before each lecture. All lectures will be in A1514/Demostudio (see map here!) unless otherwise stated in the list below.

Lecture 1: Monday, January 17, 13:00-14:30
Lecture 2: Monday, January 24, 13:00-14:30
Lecture 3: Wednesday, January 26, 13:00-14:30
Lecture 4: Monday, January 31, 13:00-14:30
Lecture 5 and binarydata.bin: Tuesday, March 1, 13:00-14:30
Lecture 6: Thursday, March 3, 13:00-14:30
Lecture 7: March 7, 13:00-14:30

Course contents

Here's a first rough draft of the course contents. The course will kick off with a few lectures on general MATLAB programming, plotting, etc. This will then be followed by some examples of specific applications and an introduction to programming of larger simulation and modeling packages.

The MATLAB environment and basic programming.
Scripts, functions, data types. More programming.
Matrix algebra, typical functions and notations.
Text and string manipulation.
File I/O.
Graphics and plotting
Application examples

Filtering
Parameter estimation and optimization
Differential equations
Statistics

Fundamentals of software engineering

Design of larger packages
Separating content from form

Literature

As course literature for the basic MATLAB introduction we'll use the excellent introduction written by Dr. Elzibieta Pekalska. Download it here.

Computer assignments and project work

In order to pass the course, all assignments given at the lectures must be completed. The solutions should be reported to the examiner by sending the code of selected assignments by email to johanc@ltu.se.

In addition to the common computer assignments, each student should perform a small project of their own, in some way related to their research projects. The project ideas should first be discussed with the examiner, and the final result should be presented in a written report along with MATLAB code demonstrating the work.

Examination

The course is passed upon successful completion of all assignments and the individual project (described above). The only grades awarded are 'pass' or 'fail'.

Last modified: March 7, 2011, by Johan Carlson