Course Details

Course Information Package

Course Unit TitleELECTRICAL ENGINEERING PROBLEM SOLVING USING MATLAB AND SIMULINK
Course Unit CodeAEEE323
Course Unit Details
Number of ECTS credits allocated5
Learning Outcomes of the course unitBy the end of the course, the students should be able to:
  1. Represent mathematically described signals into a set of data that can be effectively used by Matlab software, using sampling and descritization theorems.
  2. Apply Matlab software to analyze large scale electric circuits with direct current and alternating current excitations.
  3. Create and modify Matlab graphics to visualize vector or scalar quantities effectively.
  4. Use Matlab for Laplace transform calculations in order to convert functions is their s domain transformation, for which analytical solution is not possible or just to difficult to apply.
  5. Use Fourier transform in Matlab to calculate a systems’ transfer function or to do power and energy calculations in frequency domain.
  6. Use Simulink to build a new model and customize it accordingly to meet the provided specifications.
Mode of DeliveryFace-to-face
PrerequisitesAEEE223,AEEE310Co-requisitesNONE
Recommended optional program componentsNONE
Course Contents

Matlab fundamentals, Input Output, Program Flow, built in and user defined functions, Graphics manipulation, working with matrices and vectors, exporting  Matlab data to Excel.  Direct current and transient analysis, Alternating current analysis, C/AC circuits, Laplace Transform and inverse Laplace transform, convolution, Fourier transform and signal processing, Fourier Series, Complex exponential Fourier series, discrete time representation of continuous-time signals. Optimization, Method of steepest descent, Langrange multipliers. Simulink, creating and running a model, typical building blocks, constructing subsystem, using built in blocks.

Recommended and/or required reading:
Textbooks
  • “Numerical and Analytical Methods with MATLAB for Electrical Engineers”, William Bobers, and Andrew Stevens, CRC Press, 2012
References
  • “Applied Numerical Methods with Matlab for Engineers and Scientists”, Steven C. Charpa, McGrwa Hill, 2012
  • “Practical Matlab Applications for Engineers”, Miza Kalechman, CRC Press, 2007
  • Simulink Simulation and Model Based Design, Mathworks, 2005
Planned learning activities and teaching methods

Students are taught the course through lectures (3 hours per week) in classrooms or lectures theatres, by means of traditional tools or using computer demonstration. In addition through computer lab work (2 hours per week) taking place in the designated computer labs.

Auditory exercises, where examples regarding matter represented at the lectures, are solved and further, questions related to particular open-ended topic issues are compiled by the students and answered, during the lecture or assigned as homework. Lab project reports will be handed in and assessed regularly.

Topic notes are compiled by students, during the lecture which serve to cover the main issues under consideration. Students are also advised to use the subject’s textbook or reference books for further reading and practice in solving related exercises. Tutorial problems are also submitted as homework and these are solved during lectures or privately during lecturer’s office hours.

Students are prepared for final exam, by revision on the matter taught, problem solving and concept testing and are also trained to be able to deal with time constraints and revision timetable. The final assessment of the students is formative and is assured to comply with the subject’s expected learning outcomes and the quality of the course.
Assessment methods and criteria
Assignments10%
Tests40%
Final Exam50%
Language of instructionEnglish
Work placement(s)NO

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