Learning objectives
The course aims to provide students with the knowledge of the main features of the MATLAB software in order to use it as a support tool to the electronics design. The student will learn 1. to work in Matlab environment, knowing the data types available and how to operate them, 2. to analyze and process the data for the preliminary study of algorithms and systems, also using specific toolbox, 3. To design and to simulate a system using Simulink. The student will learn to apply the acquired knowledge to simple analysis and data processing problems by solving them through MATLAB and how to implement and verify algorithms in the MATLAB environment. He/she will learn how to communicate and document the choices made through well written and documented code.
Prerequisites
basics concepts about programming taught in previous courses.
Course unit content
The course is dedicated to the use of the MATLAB software as a support to electronic design, both as regards the analysis of data both as regards the systems design, modeling and simulation.Topics include: 1 The MATLAB environment with application examples
2 The SIMULINK environment
Full programme
1. MATLAB ENVIRONMENT (14 hours)
1.1. Work environment (1 hour)
1.1.1. Workspace
1.1.2. Commands
1.1.3. Documentation
1.2. Variables (4 hours)
1.2.1. The double data type
1.2.2. Arrays and matrices
1.2.3. Aritmetic operators
1.2.4. Matrix operators
1.2.5. Logical operators
1.2.6. Matrices/arrays concatenation
1.2.7. Indexing
1.3. Other datatypes (3 hours)
1.3.1. Char
1.3.2. Cell arrays
1.3.3. Tables
1.3.4. Structures
1.3.5. Datetime, duration
1.3.6. Logical
1.3.7. Categories
1.3.8. Data conversions
1.3.9. Data types and memory
1.4. Editor, Script and functions (3 hours)
1.4.1. Script
1.4.2. Functions
1.4.3. Debug
1.4.4. Reports and code performance
1.4.5. MATLAB Programming
1.5. Input/output operations
1.6. Data visualization
2. MATLAB APPLICATION EXAMPLES (4 hours)
2.1. Statistics analysis and machine learning – MATLAB
2.1.1. Random signal and probability distribution
2.1.2. Fitting, interpolation
2.1.3. Data analysis and clustering
3. SIMULINK ENVIRONMENT (2 hours)
3.1. Model creation
3.2. Model simulation
3.3. Simulation output analysis
3.4. Transferring data with MATLAB
3.5. Subsystems creation and managing
Bibliography
Stephen J. Chapman, Essentials of MATLAB Programming 3 ed., Cengage Learning, 2018, ISBN-13: 978-1305970656.
Brian H. Hahn, Daniel T. Valentine, Essential MATLAB for Engineers and Scientists, Academic Press, 2017, ISBN: 9780081008775
Teaching methods
10 lessons of 2 hours each. Lessons will be held at a PC to perform exercises on the topics covered.
Assessment methods and criteria
Practical test. The test will be simultaneous with that of the “Laboratorio MATLAB per l’elettronica 2” course. The test will consist of two exercises (one for each course): the student can complete both exercises or only the one related to the course for which he/she wants the recognition of the academic credits. With reference to this course, the exercise could be:- the elaboration of some data that will be provided by the teacher: the data will be imported with one of the techniques presented in the lesson, and then analysed and processed according to a particular algorithm provided in the examination text and finally plotted.- Creating and simulating a SIMULINK model.The test is evaluated on scale 0-32. The honors are reserved to a score of more than 30.
Other information
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2030 agenda goals for sustainable development
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