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EE 205

Course ID:
Course Code & Number
EE 205
Course Title
Software Tools for Electrical Engineering
Level
BS
Credit Hours/ ECTS Credits
(0+0+3) 1 TEDU Credits, 4 ECTS Credits
Year of Study:
Sophomore
Semester:
Fall
Type of Course:
Compulsory
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: NONE
Co-requisites: NONE
Catalog Description
MATLAB Environment, Built-in MATLAB Functions, Manipulating Matrices, Plotting, User Defined Functions, User Controlled Input and Outputs, Logical Functions, Repetition Structures, Matrix Algebra.
Course Objectives

This course aims to give the fundamentals of computing and modeling software environments for electrical engineering.

Software Usage

MATLAB

Course Learning Outcomes

Upon successful completion of this course, students will be able to:
(1) Become familiar with the MATLAB environment,
(2) Learn how to use built-in MATLAB Functions,
(3) Manipulate MATLAB Matrices,
(4) Plot in MATLAB,
(5) Create user-defined functions in MATLAB,
(6) Manipulate user-controlled input and output,
(7) Create logical functions and selection structures,
(8) Create repetition structures,
(9) Perform matrix algebra with MATLAB.

Learning Activities and Teaching Methods:
Telling/Explaining Discussion/Debate Questioning Reading Demonstrating Problem Solving Inquiry Collaborating Predict-Observe-Explain Oral Presentations/Reports Concept Mapping Brainstorming Hands-on Activities Web Searching Experiments
Assessment Methods and Criteria:
Test / Exam Lab Assignment
Assessment Methods and Criteria Others:
Design Content
Recommended Reading

Chapman, S. J. (2008). MATLAB Programming for Engineers. 4th Edition, Thomson.

Required Reading

Moore, H. (2012). MATLAB for Engineers. Global Edition, 3rd Edition, Pearson.

Grading

Test/Exam (70%), Lab Assignment (30%)

Learning Activities and Teaching Methods Others:
Course Coordinator:
Aykut Yıldız
Student Workload:
Workload Hrs
Course Readings 39
Lab Applications 42
Exams/Quizzes 39
Course & Program Learning Outcome Matching: