Winter Term 2019-20 / Neural Behav Sci


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 GUIDELINES  •  MODULE HANDBOOK 2019-20  •  IMPORTANT DATES  •  WEEK PLAN  •  EXAM SCHEDULE

Course title

Introduction to MATLAB Programming

Lecturer
Seifi, Vardar
Credits
2.0
Course content / topics

The course is intended for programming beginners and will therefore cover basic topics. There is a certain focus on data analysis, but in general, the goal is to understand key concepts of programming in general and Matlab in particular. Accordingly, the course will introduce elements common to programming languages (e.g. variables and operators, data types, control flow, file input/output) and point to techniques and concepts specific to Matlab. These include scalar expansion, logical subscripting, reshaping and other high-level manipulation of arrays, high-level graphics commands, scripts vs. functions, speed and memory issues, graphical user interfaces. Furthermore, a selected range of programming environment tools like the profiler, help and debugging capabilities of Matlab will be presented. Lectures will be interspersed with practice periods for which exercises including solutions are provided. The students are required to work on a programming project (in teams of two or singly) and present it.

The course is compulsory for the Neural and Behavioural Sciences master students.

All other students (master and doctoral) from the Graduate Training Centre of Neuroscience who would like to participate in the course, please contact Katja Thieltges (katja.thieltges@remove-this.uni-tuebingen.de )

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Day, time & location

Mar 16-20, all day, GTC lecture hall