Lecture materials

The course takes place every Monday (B0B17MTB) and every Wednesday (BE0B17MTB) from 16:15 to 18:30 in the room T2: A3-412 in Dejvice (unless stated otherwise on the title page).

Semester schedule: See slide 6 and 7...

mtb_cheat_sheet.pdf

Topic: What is Matlab and why to learn it. Course details, literature, the start of MATLAB. Software environment, documentation, matrices in MATLAB, matrix operations, complex numbers.

Materials: Course Information, Lecture 0 - About MATLAB, Lecture 1 - Basic math operations

Solutions:

Topic: MATLAB editor, creation of scripts, functions for generating vectors/matrices, creating more complicated matrices, operations on matrices, operations by elements, introduction to vectorization, and determination of dimension of matrices.

Materials: Lecture 2 - Vectors & Matrices

Solutions: —-

Topic: Indexing, linear indexing, relational and logical operators.

Materials: Lecture 3 - Indexing

Solutions:

Homework: Evaluated.

Topic: Cycles, cycles vs. vectorization, program branching.

Materials: Lecture 04 - Loops and Branching

Solutions:

Topic: User functions, function handles, anonymous functions, nested functions, debugging.

Materials: Lecture 05 - Functions and Debugging

Solutions:

Cheat Sheet: MTB cheat sheet

Projects: Google Docs Spreadsheet (read-only)

Topic: Data type cell, test strings, data type String, data type struct .

Materials: Lecture 06 - Cell, String, and Structure

Solutions:

Homework: Evaluated.

Topic: Visualization in MATLAB, LineSpec , suitable sampling for drawing graphs, graphical objects.

Materials: Lecture 07 - Visualization

Solutions:

Project: Project selection List of projects

Topic: Static GUI.

Materials: Lecture 8 - Static GUI

Solutions:

Topic: Dynamic GUI.

Materials: Lecture 9 - Dynamic GUI

Solutions:

Homework: Upload system

Topic: Time functions, timer, sorting, profiler.

Materials: Lecture 10 - Time functions, timer, sorting, profiler, gameTimerExample, weathermeasurementprocessing.m

Solutions:

Topic: Set operations, element search, error handling, I/O.

Materials: Lecture 11 - Set Operations, Data Treatment (I/O)

Solutions:

Topic: Bonuses - Basics of symbolic calculations.

Materials: Lecture 12 - Symbolic Math in MATLAB, Lecture 13 - Data PostProcessing -- Graphics

Solutions:

Topic: Reserve

Materials:

Solutions:

Topic: Final test, project presentation, discusion. credit assignment.