Information Package
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Program of Electrical and Electronics Engineering (English)

EEE208

SOFTWARE TOOLS IN ENGINEERING

Course Code
EEE208
Semester
Third Term (Fall)
Theory+Practice
3 + 0
ECTS
4
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study2
SemesterThird Term (Fall)
ECTS4
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. To learn the difference between analytical and algorithmic solutions
  2. To learn data representation for computational purposes
  3. To learn the use of MATLAB as an interactive computational tool and as a programming tool
  4. To learn loop concepts and arrays
  5. To learn plotting data
  6. To learn how to implement basic algorithms to solve characteristic Electrical and Electronics engineering problems
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionMATLAB is a powerful language for technical computing. The name MATLAB stands for MATrix LABoratory, because its basic data element is a matrix (array). MATLAB can be used for math computations, modeling and simulations, data analysis and processing, visualization and graphics, and algorithm development. MATLAB is widely used in universities introductory and advanced courses in mathematics, science, and especially engineering. In industry the software is used in research, development, and design. The standard MATLAB program has tools (functions) that can be used to solve common problems. In addition, MATLAB has optional toolboxes that are collections of specialized programs designed to solve specific types of problems
Course Contents
WEEK TOPICS
1st Week Variable declaration vector declaration, matrix declaration
2nd Week Basic mathematical and logical operators, special operators
3rd Week Basic mathematical and logical operators, special operators
4th Week Conditional statement
5th Week Conditional statement
6th Week Loops
7th Week Loops
8th Week Midterm Exam
9th Week Plotting 2 dimensional and 3 dimensional curves, drawing surfaces
10th Week Plotting 2 dimensional and 3 dimensional curves, drawing surfaces
11th Week Function declaration, calling functions
12th Week Function declaration, calling functions
13th Week Function declaration, calling functions
14th Week Basic concepts about SIMULINK
Recommended or Required ReadingMATLAB introduction with applications, Amos Gilat
Planned Learning Activities and Teaching Methods
  • Presentation
  • Questions/Answers
  • Lecture
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 35
Quiz 2 25
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz 2 8 16
Individual or group work 13 3 39
Preparation for Final exam 1 13 13
Course hours 14 3 42
Preparation for Midterm exam 1 11 11
Laboratory (including preparation) 0 0 0
Final exam 1 2 2
Homework 0 0 0
Total Work Load125
Total Work Load / 30 (h)4.16
ECTS Credit of the Course4
Language of InstructionEnglish
Work Placement(s)No

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