Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| INTRODUCTION to ELECTRICAL-ELECTRONICS ENGINEERING | EEE1110782 | Fall Semester | 2+2 | 3 | 4 |
| Course Program | ( A ) Pazartesi 11:00-11:45 ( A ) Pazartesi 12:00-12:45 ( A ) Perşembe 11:00-11:45 ( A ) Perşembe 12:00-12:45 ( B ) Pazartesi 13:30-14:15 ( B ) Pazartesi 14:30-15:15 ( B ) Pazartesi 19:30-20:15 ( B ) Pazartesi 20:30-21:15 ( B ) Perşembe 13:30-14:15 ( B ) Perşembe 14:30-15:15 ( B ) Perşembe 19:30-20:15 ( B ) Perşembe 20:30-21:15 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Prof.Dr. Mehmet Kemal ÖZDEMİR |
| Name of Lecturer(s) | Prof.Dr. Selim AKYOKUŞ, Prof.Dr. Reda ALHAJJ, Prof.Dr. Mehmet Kemal ÖZDEMİR, Assist.Prof. Mustafa AKTAN, Assist.Prof. İbrahim KARLIAĞA, Assist.Prof. Ahmet KAPLAN |
| Assistant(s) | http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-01sc-introduction-to-electrical-engineering-and-computer-science-i-spring-2011/ |
| Aim | The aim of this course is to explain electrical and electronics engineering and describe its main fields of study. |
| Course Content | This 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 Kazanımları | Teaching Methods | Assessment Methods |
| 1. Define electrical and electronics engineering | 9 | A, E |
| 2. Explain different fields of electrical and electronics engineering | 9 | A, E |
| 3. Summarize social, professional, and ethical issues | 9 | A, E |
| 4. Translate innovation and entrepreneurship issues | 17, 5, 9 | E |
| 5. Understand the steps required to design complex systems. | 17, 2, 21 | A, 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
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Engineering Profession and Career | Lecture Slides 1 |
| 2 | 2. Introduction to Engineering Design | Lecture Slides 2 |
| 3 | Circuits | Lecture Slides 3 |
| 4 | Circuits | Lecture Slides 3 |
| 5 | Signals and Systems | Lecture Slides 5 |
| 6 | Signals and Systems | Lecture Slides 5 |
| 7 | Probability and Statistics in Engineering | Lecture Slides 7 |
| 8 | Midterm | Lecture Slides from 1 to 7 |
| 9 | Probability and Statistics in Engineering | Lecture Slides 9 |
| 10 | An introduction to Computer Science | Lecture Slides 10 |
| 11 | Data Science | Lecture Slides 11 |
| 12 | Introduction to Algorithms | Lecture Slides 12 |
| 13 | Machine Learning and Artificial Intelligence | Lecture Slides 13 |
| 14 | Software 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 | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 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 Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 13 | 2 | 26 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 10 | 4 | 40 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 1 | 24 | 24 | |||
| Quiz | 0 | 0 | 0 | |||
| Midterm Exam | 1 | 12 | 12 | |||
| General Exam | 1 | 12 | 12 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| 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
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| INTRODUCTION to ELECTRICAL-ELECTRONICS ENGINEERING | EEE1110782 | Fall Semester | 2+2 | 3 | 4 |
| Course Program | ( A ) Pazartesi 11:00-11:45 ( A ) Pazartesi 12:00-12:45 ( A ) Perşembe 11:00-11:45 ( A ) Perşembe 12:00-12:45 ( B ) Pazartesi 13:30-14:15 ( B ) Pazartesi 14:30-15:15 ( B ) Pazartesi 19:30-20:15 ( B ) Pazartesi 20:30-21:15 ( B ) Perşembe 13:30-14:15 ( B ) Perşembe 14:30-15:15 ( B ) Perşembe 19:30-20:15 ( B ) Perşembe 20:30-21:15 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Required |
| Course Coordinator | Prof.Dr. Mehmet Kemal ÖZDEMİR |
| Name of Lecturer(s) | Prof.Dr. Selim AKYOKUŞ, Prof.Dr. Reda ALHAJJ, Prof.Dr. Mehmet Kemal ÖZDEMİR, Assist.Prof. Mustafa AKTAN, Assist.Prof. İbrahim KARLIAĞA, Assist.Prof. Ahmet KAPLAN |
| Assistant(s) | http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-01sc-introduction-to-electrical-engineering-and-computer-science-i-spring-2011/ |
| Aim | The aim of this course is to explain electrical and electronics engineering and describe its main fields of study. |
| Course Content | This 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 Kazanımları | Teaching Methods | Assessment Methods |
| 1. Define electrical and electronics engineering | 9 | A, E |
| 2. Explain different fields of electrical and electronics engineering | 9 | A, E |
| 3. Summarize social, professional, and ethical issues | 9 | A, E |
| 4. Translate innovation and entrepreneurship issues | 17, 5, 9 | E |
| 5. Understand the steps required to design complex systems. | 17, 2, 21 | A, 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
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Introduction to Engineering Profession and Career | Lecture Slides 1 |
| 2 | 2. Introduction to Engineering Design | Lecture Slides 2 |
| 3 | Circuits | Lecture Slides 3 |
| 4 | Circuits | Lecture Slides 3 |
| 5 | Signals and Systems | Lecture Slides 5 |
| 6 | Signals and Systems | Lecture Slides 5 |
| 7 | Probability and Statistics in Engineering | Lecture Slides 7 |
| 8 | Midterm | Lecture Slides from 1 to 7 |
| 9 | Probability and Statistics in Engineering | Lecture Slides 9 |
| 10 | An introduction to Computer Science | Lecture Slides 10 |
| 11 | Data Science | Lecture Slides 11 |
| 12 | Introduction to Algorithms | Lecture Slides 12 |
| 13 | Machine Learning and Artificial Intelligence | Lecture Slides 13 |
| 14 | Software 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 | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 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 Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |