ae0b17mtb -- Matlab

Students will learn how to efficiently use both basic and advanced Matlab functions, including graphic user interface design. Emphasis will be put on problem analysis and implementation, understanding Matlab documentation, debugging user-defined functions and independent work with Matlab (proved by work on the project). Knowledge acquired can be applied to a broad spectra of courses taught at FEE (processing labs, final projects) and can be used in future professional career.

conditions of credit award:

  • two short tests during semester (most probably week 5 and 8, max. 10p each)
  • to pass written test (week 13, min. 50% success rate, max. 20p)
  • to hand-in a project (next-to-last week of the semester, max. 60p)
  • max. 2 missed classes

Final grade:

90-100 points - A (excellent)

80-89 points - B (very good)

70-79 points - C (good)

60-69 points - D (satisfactory)

50-59 points - E (sufficient)

0-49 points - F (failed)


Timetable

Course timetable


Lectures


Outline and syllabus, Outline and syllabus of exercises


1. Motivation problems, environment description and set-up, control || Matlab as a calculator, documentation


2. Expressions and commands, indexing, elementary math functions || () Indexing, [], :, dot-operations, solving simple problems (scripts #1), scalar × vector × matrix operations and functions, Projects: project list


3. Relation and logical operators, logical indexing, code debugging || scripts #2, keyboard shortcuts, cell mode scripts, script processing by Matlab; Projects: project selection


4. User-defined functions, recursion, programming style (variables, functions, comments) || Workspaces, main / local / nested functions; Projects: project layout, initial consultation


5. Visualizing in Matlab (introduction) || Ploting and editing graphs; Projects: work on projects + consultation


6. Cycles (vectorizing, other methods), cell, struct || Built-in functions #1, time operations; Projects: work on projects + consultation


7. Memory allocation, data types, control flow m-lint || Built-in functions #2, division by zero (Inf, NaN, …); Projects: work on projects + consultation and project progress check


8. Strings, import/export, code acceleration || Excel, ASCII, binary, mat, (bmp), eval, evalin, …; Projects: work on projects + consultation


9. Path, code design, large application design, code design guidelines and standards || Complex examples (functionality-wise), code reading; Projects: work on projects + consultation


10. Visualizing in Matlab (OOP/ handle objects, graphics control) || Complex graphs (object types), graphics, animation, Projects: work on projects + consultation


11. Visualizing in Matlab (OOP/ handle objects, graphics control) || Complex graphs (object types), graphics, animation, Projects: work on projects + consultation


12. Symbolic math (MuPAD kernel), limit, extreme, derivative, zero points of a function, integration, ezplot, ezsurf, solve vs. numerical approach, Projects: work on projects + consultation and project progress check


13. Test, project finalization

14. Project check, credit award


Recommended literature:

[1] Attaway, S.: A Practical Introduction to Programming and Problem Solving, 3rd ed., Butterworth-Heinemann, 2013.

[2] Hahn, B., Valentine, D.: Essential Matlab for Engineers and Scientists, 5th ed., Academic Press, 2013.

[3] Kiusalaas, J.: Numerical Methods in Engineering with Matlab. Cambridge University Press, 2005.

[4] Mathews, J. H., Fink, K. D.: Numerical Methods Using Matlab. Prentice Hall, 1999


Contact:

Lecturer: Pavel Valtr, https://elmag.fel.cvut.cz/profile-main/165?language=en

 
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courses/ae0b17mtb/start.txt · Last modified: 2017/09/18 14:21 by valtrp