Computing in Matlab

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Mechanics

Synopsis:

This course focuses on developing students' programming skills in MATLAB.

Requirements:

Basic computer skills.

Syllabus of lectures:

None.

Syllabus of tutorials:

1. Syntax basics I - Tensors, linear algebra.

2.Syntax Basics II - Loops, conditions, functions, strings, files.

3.Object-oriented programming.

4.Vectorization.

5.Parallelization - parfor function.

6.Data visualization I - 2D graphs.

7.Data visualization II - 3D graphs.

8.Graphical user interface.

9.Optimization toolbox.

10. Statistical toolbox. Linear regression.

11. Curve fitting.

12. Deep learning I - Creating a neural network model. Basic concepts.

13. Deep Learning II - Deep Network Designer.

Study Objective:

The goal of this course is to equip students with extensive knowledge and practical skills in MATLAB programming, a tool widely utilized in engineering and scientific disciplines. The course is structured to offer hands-on experience, enabling students to apply MATLAB for solving a range of problems, from fundamental calculations to advanced visualization and optimization methods.

Study materials:

https://www.mathworks.com/help/matlab/

https://sites.google.com/site/xsykorj3course/132dig

https://www.mathworks.com/help/overview/parallel-computing.html

https://www.mathworks.com/help/overview/ai-data-science-and-statistics.html

https://www.mathworks.com/help/overview/mathematics-and-optimization.html

Note:

Further information:

https://sites.google.com/site/xsykorj3course/132dig

No time-table has been prepared for this course

The course is a part of the following study plans:

• Digitalizace ve stavebnictví - prezenční forma studia (compulsory elective course)