After successful completion of the course, students are able to:
MATLAB syntax (command- and object-oriented), graphical representations, problems in linear algebra, optimization and statistics, solution of ordinary differential equations by functions in the various toolboxes.
Learning of language and tool boxes by means of example programs, development of programs for solving problems posed in weekly assignment.
Please register only if you are seriously committed to attend the entire course! You will need a laptop with a MATLAB installation already in the first unit, see http://www.sss.tuwien.ac.at/sss/mla/. At least the following toolboxes have to be installed:
Curve Fitting Toolbox, Global Optimization Toolbox, Optimization Toolbox, Statistics and Machine Learning Toolbox, Symbolic Math Toolbox
Active participation in the course. Every week a program that solves a specific problem has to be developed, tested and delivered. Studemnts are expected to work in groups of two.
Otto and Denier, An Introduction to Programming and Numerical Methods in MATLAB
Brian Hahn, Essential MATLAB for Engineers and Scientists
Stormy Attaway, Matlab: A Practical Introduction to Programming and Problem Solving
Basic knowledge of higher mathematics (functions, linear algebra, ordinary differential equations)
