Course
EEE1110782
INTRODUCTION to ELECTRICAL-ELECTRONICS ENGINEERING
Electrical and Electronics Engineering
- LECTURE
- 2
- LAB
- 2
- CREDITS
- 3
- ECTS
- 4
AIM
The aim of this course is to explain electrical and electronics engineering and describe its main fields of study.
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..
LEARNING OUTCOMES
- 1
1. Define electrical and electronics engineering
Taught by: Lecture Method · Assessed by: Traditional Written Exam, Homework
- 2
2. Explain different fields of electrical and electronics engineering
Taught by: Lecture Method · Assessed by: Traditional Written Exam, Homework
- 3
3. Summarize social, professional, and ethical issues
Taught by: Lecture Method · Assessed by: Traditional Written Exam, Homework
- 4
4. Translate innovation and entrepreneurship issues
Taught by: Experimental Technique, Cooperative Learning, Lecture Method · Assessed by: Homework
- 5
5. Understand the steps required to design complex systems.
Taught by: Experimental Technique, Project Based Learning Model, Simulation Technique · Assessed by: Traditional Written Exam, Homework, Project Task
WEEKLY PLAN
- WEEK 1
Introduction to Engineering Profession and Career
Preparation: Lecture Slides 1
- WEEK 2
2. Introduction to Engineering Design
Preparation: Lecture Slides 2
- WEEK 3
Circuits
Preparation: Lecture Slides 3
- WEEK 4
Circuits
Preparation: Lecture Slides 3
- WEEK 5
Signals and Systems
Preparation: Lecture Slides 5
- WEEK 6
Signals and Systems
Preparation: Lecture Slides 5
- WEEK 7
Probability and Statistics in Engineering
Preparation: Lecture Slides 7
- WEEK 8
Midterm
Preparation: Lecture Slides from 1 to 7
- WEEK 9
Probability and Statistics in Engineering
Preparation: Lecture Slides 9
- WEEK 10
An introduction to Computer Science
Preparation: Lecture Slides 10
- WEEK 11
Data Science
Preparation: Lecture Slides 11
- WEEK 12
Introduction to Algorithms
Preparation: Lecture Slides 12
- WEEK 13
Machine Learning and Artificial Intelligence
Preparation: Lecture Slides 13
- WEEK 14
Software Engineering, UML, and State Diagrams.
Preparation: Lecture Slides 14
ASSESSMENT
- Rate of Midterm Exam to Success30%
- Rate of Final Exam to Success70%
WORKLOAD
| ACTIVITY | COUNT | HOURS | TOTAL |
|---|---|---|---|
| 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 |
READING
- 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.
TEACHING STAFF
- Prof.Dr. Mehmet Kemal ÖZDEMİRCOORDINATOR
- Prof.Dr. Selim AKYOKUŞ
- Assist.Prof. Ahmet KAPLAN
- Prof.Dr. Reda ALHAJJ
- Prof.Dr. Cem ÜNSALAN
- Assist.Prof. Mustafa TÜRKBOYLARI
- Prof.Dr. Mehmet Kemal ÖZDEMİR
- Assist.Prof. İbrahim KARLIAĞA
- Assist.Prof. Mustafa AKTAN
- Assist.Prof. Tankut AKGÜL