SylabUZ
| Course name | Programming for Engineering Applications |
| Course ID | 06.9-WM-ZiIP-ANG-D-08_22 |
| Faculty | Faculty of Mechanical Engineering |
| Field of study | Management and Production Engineering |
| Education profile | academic |
| Level of studies | Second-cycle studies leading to MSc degree |
| Beginning semester | winter term 2023/2024 |
| Semester | 1 |
| ECTS credits to win | 3 |
| Course type | obligatory |
| Teaching language | english |
| Author of syllabus |
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| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Lecture | 15 | 1 | - | - | Credit with grade |
| Laboratory | 15 | 1 | - | - | Credit with grade |
| Class | 15 | 1 | - | - | Credit with grade |
Familiarize with the tools for performing engineering calculations on the example of the Matlab package, developing skills in using a specialized tool to solve selected engineering problems.
Basic computer knowledge.
Lectures
L01. Introduction to the Matlab environment, basic matrix and array operations, scripts and functions.
L02. Data structures, data processing and visualization.
L03. Overview of libraries and tools available in the Matlab environment.
L04. Modeling and simulation using the Simulink package.
L05. Solving selected engineering problems using artificial intelligence methods.
L06. Introduction to symbolic calculations.
L07. Final test.
Exercises
E01. Introduction to programming in the Matlab environment.
E02. Matrix and array operations, scripts and functions.
E03-04. Solving simple engineering problems using matrix and array operations.
E05. Interpolation and approximation using tools available in the Matlab environment.
E06. Solving optimization problems.
E07. Final test.
Laboratory
L01. Matlab environment.
L02. Matrix and array operations, scripting and functions.
L03. Data processing and visualization.
L04. Solving exemplary engineering problems using specialized Matlab libraries.
L05-06. Modeling and simulation of selected systems using the Simulink package.
L07. Final test.
Lecture: a conventional lecture
Exercises: problem tasks, case analysis, individual work
Laboratory: practical classes in the computer laboratory
| Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture: a positive result of the assessment via a written test
Exercises: a positive result of the assessment via a written test
Laboratory: completion of laboratory tasks, assessment of the test conducted at the computer.
Final grade: the condition for passing the course is to pass all its forms, the final grade for the course is the arithmetic mean of the grades for individual forms of classes.
Modified by dr inż. Grzegorz Pająk (last modification: 01-05-2023 18:08)
