MATLAB-Programming for Engineers

Topics of lectures:

Week 1: Refreshing MATLAB fundamentals: basic data operations, definition of data characteristics (statistics), data visualization, data extraction, data processing, 2D and 3D data visualization, use of data analysis tools

Week 2: Data entry and export. Data retrieval from files, databases, webs, software, and hardware devices. Control peripherals and measuring instruments.

Week 3: Process and methods of teamwork and project work using engineering computing platform, preparation of project tasks.

Week 4: Using MATLAB system objects to simulate and verify dynamic system behavior. Real-time processing, stream-based processing, and segmented processing of large data files.

Week 5: Software-supported advanced algorithm development (Polyspace, Stateflow): run-time optimization, event-driven planning, model-oriented design. Code verification, static code analysis, and run-time debugging. Compliance with programming standards State graph-based design. Modeling finite automata. Process scheduling and control, execution and management logic, error handling.

Week 6: Handling compute-intensive problems: parallel processing, distributed computing, multi-threaded program management. MATLAB server is used to perform distributed calculations.

Week 7: Advanced discrete signal processing: time-domain solutions, spectrum estimation methods. Applicability of special transformations in practice.

Week 8: Application development: PC executable program, graphical user interface, software library, source code executable on target hardware, FPGA descriptor, embedded application (C/C++, MEX, VHDL, VERILOG). Generate codes that can be downloaded for hardware.

Week 9: Finite element tasks. Basics of physical modeling: defining geometric shapes, grid generation, specifying physical conditions, problem-solving, and displaying results.

Week 10: Overview of topic-specific applications: radio frequency data transmission, wireless, antenna design, electromagnetic field simulation, radar applications.

Week 11: An overview of the capabilities of engineering computing platforms. Introduction of additional engineering programming platforms (Octave, Scilab, similarities and differences).

Week 12: Introduction to industrial applications.

Week 13: Application development, consultation.

Week 14: Extra session.

Computer laboratory topics:

Week 1: Refreshing MATLAB basics: Editor, Debugger, Profiler, File types, functions, m and mat files.

Week 2: Get and manage data files: .dat, xls, wav, and image files. Manage data from external peripherals (TCPIP / Serial)

Week 3: Documentation: Playshow, publish, and live script. GUI design - guide, appdesigner. Version control.

Week 4: Real-time voice manipulation through stream objects, spectrum analyzer, and writing your own class/object.

Week 5: Learning Polyspace BugFinder and Codeprover, Stateflow programs through practical examples. Code analysis, standard compliance, and correction of characteristic errors. State-graph-based design based on specification.

Week 6: MATLAB parallel programming, CUDA programming syntax. Distributed computing on a MATLAB server and cloud computing environment. Run time comparison for local, multithreaded, and server-side computing.

Week 7: Various implementations of FFT. Filter design and application using fdatool and sptool, based on specific speculation. Define filter coefficients and export filter.

Week 8: Application development: A program that can be run on a PC. Programming Rasberry Pi and Arduino boards from MATLAB. Generate executable code from a SIMULINK model.

Week 9: Definition of finite element-based tasks, consideration of physical parameters, interpretation and processing of simulation results. Solving an electromagnetic finite element problem.

Week 10: Antenna toolbox, RF toolbox, LTE toolbox, WIFI toolbox presentation, solution of the design task: WiFi system simulation.

Week 11: Octave, Scilab review, transcription of MATLAB codes. Transfer prepared programs to another environment.

Week 12: Applications prepared in MATLAB for industrial environment - application development task based on industrial requirements; getting to know the case study, answering questions related to the project task.

Week 13: Presentation and evaluation of project tasks.

Week 14: Extra session