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The course takes place every Monday (B0B17MTB) and every Wednesday (BE0B17MTB) from 16:15 to 18:30 in 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, and 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
Topic: Indexing, linear indexing, relational and logical operators.
Materials: Lecture 3 - Indexing, Relational and Logical Operators
Homework: Submission system (BRUTE)
Topic: Cycles, cycles vs. vectorization, program branching.
Materials: Lecture 4 - Loops, Program Branching
Topic: User functions, function handles, anonymous functions, nested functions, debugging.
Materials: Lecture 5 - Functions, Debugging
Topic: Data type cell, test strings, data type String, data type struct .
cell
String
struct
Materials: Lecture 6 - Data Types: Cell, String, and Structure
Topic: Visualization in MATLAB, LineSpec , suitable sampling for drawing graphs, graphical objects.
LineSpec
Materials: Lecture 7 - Visualization
Project: Project selection
Topic: Static GUI.
Materials: Lecture 8 - Static GUI
Topic: Dynamic GUI.
Materials: Lecture 9 - Dynamic GUI
Homework: mtb_hw3.pdf problem3d.zip Submission system (BRUTE)
Topic: Time functions, timer, sorting, profiler.
Materials: | Lecture 10 - Timer, Sorting, Finding
Topic: Set operations, element search, error handling, I/O.
Materials: Lecture 11 - Set operations, Data treatment, measurement1.xlsx
Topic: Bonuses - Basics of symbolic calculations.
Materials: Lecture 12
Topic: Data Processing
Materials: Lecture 13 - Data (Post-)Processing
Topic: Final test, project presentation, discusion, credit assignment.