Ders Planı

CLASS 4

Lesson plan / SOFTWARE TOOLS FOR ELECTRICAL AND ELECTRONICS ENGINEERING

Lesson Information

Course Credit	1.0
Course ECTS Credit	2.0
Teaching Language of Instruction	Türkçe
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course	Compulsory
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	Z
Course Coordinator
Instructor (s)	Assist. Prof. Dr. SİNA APAK
Course Assistant

Purpose and Content

The aim of the course	The goal of this course is to introduce students to the fundamental concepts of Scientific Programming using Matlab/Octave and similar programming languages (e.g. sagemath) and we will introduce the necessary mathematical concepts as we go (including linear algebra, differential equations, probability and statistics). The course will cover the syntax and semantics of Matlab/Octave including data types, control structures, comments, variables, functions, and other abstraction mechanisms. Once the foundations of the language have been established students will explore different types of scientific programming problems including curve fitting, optimization, integration, differentiation, statistical analysis, ODE solving, image processing, clustering, and simulation.
Course Content	1 Variables, scripts, and operations 2 Visualization and programming 3 Solving equations and curve fitting 4 Advanced methods

The aim of the course

The goal of this course is to introduce students to the fundamental concepts of Scientific Programming using Matlab/Octave and similar programming languages (e.g. sagemath) and we will introduce the necessary mathematical concepts as we go (including linear algebra, differential equations, probability and statistics). The course will cover the syntax and semantics of Matlab/Octave including data types, control structures, comments, variables, functions, and other abstraction mechanisms. Once the foundations of the language have been established students will explore different types of scientific programming problems including curve fitting, optimization, integration, differentiation, statistical analysis, ODE solving, image processing, clustering, and simulation.

Course Content

1 Variables, scripts, and operations 2 Visualization and programming 3 Solving equations and curve fitting 4 Advanced methods

Learning Outcomes

Mathematics , Science and sufficient knowledge in electrical engineering issues; theoretical and practical knowledge in the field of Electrical and Electronics Engineering the ability to apply for modeling and problem solving.
Ability to identify, define, formulate and solve complex engineering problems; ability to select and implement the appropriate analysis and modeling methods in this respect.
Ability to work effectively in interdisciplinary and multidisciplinary teams; ability to work individually .
Act according to ethical , professional and ethical responsibility about the standards used in electrical and electronic engineering applications
The ability to design to meet specific needs;complex system , process, device or product under realistic constraints and conditions , the ability to apply modern design methods for this purpose .
Awareness of the necessity of lifelong learning ; Access to knowledge, science and developments in technology and continuous self -improvement.
Awareness of universal and social dimensions of health electrical engineering applications , contemporary issues and their impact on the environment and safety ; awareness of the legal consequences of engineering solutions .
Ability to communicate effectively in Turkish, both oral and written, with at least one foreign language knowledge, ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, giving clear and concise instructions and receiving skills.
Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
Analyzing and solving using modern techniques and tools for complex problems encountered in the electrical and electronics application development , selection and use of skills , skills to use ICT effectively
Designing experiments for the study of electrical engineering problems , conduct experiments, collect data , analyze and interpret the results .
Awareness about occupational health and safety
Development and scientific publications of conciousness can be followed in the electrical and electronics engineering. Developed will be able to access the resources that it can meet the education requirements for the new system awareness.

Weekly Course Subjects

1	A minimum MATLAB session
2	Creating MATLAB variables
3	Mathematical functions .
4	Basic plotting .
5	Matrix generation
6	Array operations
7	M-File Scripts
8	Control flow
9	Debugging M-files
10	Preparing for debugging
11	Anatomy of a M-File function
12	Input and output arguments
13	Correcting and ending debugging
14	project presentation

Resources

1-INTRODUCTION TO MATLAB FOR. ENGINEERING STUDENT .David Houcque.

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Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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