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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUCTION to ELECTRICAL-ELECTRONICS ENGINEERING-Fall Semester2+234
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorProf.Dr. Mehmet Kemal ÖZDEMİR
Name of Lecturer(s)Assist.Prof. Tunçer BAYKAŞ, Prof.Dr. Bahadır Kürşat GÜNTÜRK, Prof.Dr. Mehmet Kemal ÖZDEMİR, Assoc.Prof. Hakan DOĞAN
Assistant(s)http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-01sc-introduction-to-electrical-engineering-and-computer-science-i-spring-2011/
AimThe aim of this course is to explain electrical and electronics engineering and describe its main fields of study.
Course ContentThis course contains; Introduction to Engineering Profession and Career,2. Introduction to Engineering Design,Circuits,Circuits,Signals and Systems,Signals and Systems,Probability and Statistics in Engineering,Midterm,Probability and Statistics in Engineering,An introduction to Computer Science,Data Science,Introduction to Algorithms
,Machine Learning and Artificial Intelligence ,Software Engineering, UML, and State Diagrams..
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Define electrical and electronics engineering9A, E
2. Explain different fields of electrical and electronics engineering9A, E
3. Summarize social, professional, and ethical issues9A, E
4. Translate innovation and entrepreneurship issues17, 5, 9E
5. Understand the steps required to design complex systems.17, 2, 21A, E, F
Teaching Methods:17: Experimental Technique, 2: Project Based Learning Model, 21: Simulation Technique, 5: Cooperative Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task

Course Outline

OrderSubjectsPreliminary Work
1Introduction to Engineering Profession and CareerLecture Slides 1
22. Introduction to Engineering DesignLecture Slides 2
3CircuitsLecture Slides 3
4CircuitsLecture Slides 3
5Signals and SystemsLecture Slides 5
6Signals and SystemsLecture Slides 5
7Probability and Statistics in EngineeringLecture Slides 7
8MidtermLecture Slides from 1 to 7
9Probability and Statistics in EngineeringLecture Slides 9
10An introduction to Computer ScienceLecture Slides 10
11Data ScienceLecture Slides 11
12Introduction to Algorithms
Lecture Slides 12
13Machine Learning and Artificial Intelligence Lecture Slides 13
14Software Engineering, UML, and State Diagrams.Lecture Slides 14
Resources
Powerpoint slides
1. http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-01sc-introduction-to-electrical-engineering-and-computer-science-i-spring-2011/Syllabus/MIT6_01SCS11_notes.pdf ---------------------------------- 2. Saeed Moaveni, “Engineering Fundamentals: An Introduction to Engineering” Cengage Learning, 5th edition.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
An ability to apply knowledge of mathematics, science, and engineering
X
2
An ability to identify, formulate, and solve engineering problems
X
3
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
An ability to design and conduct experiments, as well as to analyze and interpret data
X
6
An ability to function on multidisciplinary teams
X
7
An ability to communicate effectively
X
8
A recognition of the need for, and an ability to engage in life-long learning
X
9
An understanding of professional and ethical responsibility
X
10
A knowledge of contemporary issues
X
11
The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours13226
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report10440
Term Project000
Presentation of Project / Seminar12424
Quiz000
Midterm Exam11212
General Exam11212
Performance Task, Maintenance Plan000
Total Workload(Hour)114
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(114/30)4
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUCTION to ELECTRICAL-ELECTRONICS ENGINEERING-Fall Semester2+234
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorProf.Dr. Mehmet Kemal ÖZDEMİR
Name of Lecturer(s)Assist.Prof. Tunçer BAYKAŞ, Prof.Dr. Bahadır Kürşat GÜNTÜRK, Prof.Dr. Mehmet Kemal ÖZDEMİR, Assoc.Prof. Hakan DOĞAN
Assistant(s)http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-01sc-introduction-to-electrical-engineering-and-computer-science-i-spring-2011/
AimThe aim of this course is to explain electrical and electronics engineering and describe its main fields of study.
Course ContentThis course contains; Introduction to Engineering Profession and Career,2. Introduction to Engineering Design,Circuits,Circuits,Signals and Systems,Signals and Systems,Probability and Statistics in Engineering,Midterm,Probability and Statistics in Engineering,An introduction to Computer Science,Data Science,Introduction to Algorithms
,Machine Learning and Artificial Intelligence ,Software Engineering, UML, and State Diagrams..
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Define electrical and electronics engineering9A, E
2. Explain different fields of electrical and electronics engineering9A, E
3. Summarize social, professional, and ethical issues9A, E
4. Translate innovation and entrepreneurship issues17, 5, 9E
5. Understand the steps required to design complex systems.17, 2, 21A, E, F
Teaching Methods:17: Experimental Technique, 2: Project Based Learning Model, 21: Simulation Technique, 5: Cooperative Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task

Course Outline

OrderSubjectsPreliminary Work
1Introduction to Engineering Profession and CareerLecture Slides 1
22. Introduction to Engineering DesignLecture Slides 2
3CircuitsLecture Slides 3
4CircuitsLecture Slides 3
5Signals and SystemsLecture Slides 5
6Signals and SystemsLecture Slides 5
7Probability and Statistics in EngineeringLecture Slides 7
8MidtermLecture Slides from 1 to 7
9Probability and Statistics in EngineeringLecture Slides 9
10An introduction to Computer ScienceLecture Slides 10
11Data ScienceLecture Slides 11
12Introduction to Algorithms
Lecture Slides 12
13Machine Learning and Artificial Intelligence Lecture Slides 13
14Software Engineering, UML, and State Diagrams.Lecture Slides 14
Resources
Powerpoint slides
1. http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-01sc-introduction-to-electrical-engineering-and-computer-science-i-spring-2011/Syllabus/MIT6_01SCS11_notes.pdf ---------------------------------- 2. Saeed Moaveni, “Engineering Fundamentals: An Introduction to Engineering” Cengage Learning, 5th edition.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
An ability to apply knowledge of mathematics, science, and engineering
X
2
An ability to identify, formulate, and solve engineering problems
X
3
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
An ability to design and conduct experiments, as well as to analyze and interpret data
X
6
An ability to function on multidisciplinary teams
X
7
An ability to communicate effectively
X
8
A recognition of the need for, and an ability to engage in life-long learning
X
9
An understanding of professional and ethical responsibility
X
10
A knowledge of contemporary issues
X
11
The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context
X

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 09/10/2023 - 10:37Son Güncelleme Tarihi: 09/10/2023 - 10:37