Course Detail
Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|---|---|---|---|---|
INTRODUCTION to COMPUTER ENGINEERING | COE1110748 | Fall Semester | 2+2 | 3 | 4 |
Course Program | ( B ) Pazartesi 16:30-17:15 ( B ) Pazartesi 17:30-18:15 ( B ) Pazartesi 18:30-19:15 ( B ) Cumartesi 11:00-11:45 ( B ) Cumartesi 12:00-12:45 ( B ) Cumartesi 12:45-13:30 ( A ) Pazartesi 18:30-19:15 ( A ) Pazartesi 19:30-20:15 ( A ) Pazartesi 20:30-21:15 ( A ) Cumartesi 16:30-17:15 ( A ) Cumartesi 17:30-18:15 ( A ) Cumartesi 18:30-19:15 |
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. Bahadır Kürşat GÜNTÜRK, Prof.Dr. Mehmet Kemal ÖZDEMİR, Assoc.Prof. Hüseyin Şerif SAVCI, Assist.Prof. Mustafa AKTAN |
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 computer engineering and describe its main fields of study. |
Course Content | This course contains; Introduction to Engineering Profession and Career,Introduction to Engineering Design,Circuits,Circuits,Signals and Systems,Signals and Systems,Probability and Statistics in Engineering,Exam Week,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 Machines. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
1. Define computer engineering | 14, 16, 19, 9 | A, E |
2. Explain different fields of computer engineering | 14, 19, 9 | A, E |
3. Summarize social, professional, and ethical issues | 10, 14, 16, 9 | A, E |
4. Translate innovation and entrepreneurship issues | 10, 14, 19, 9 | A, E |
5. Understand the steps required to design complex systems. | 17, 21, 9 | A, E, F |
Teaching Methods: | 10: Discussion Method, 14: Self Study Method, 16: Question - Answer Technique, 17: Experimental Technique, 19: Brainstorming Technique, 21: Simulation Technique, 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 Week 1 |
2 | Introduction to Engineering Design | Lecture Slides Week 2 |
3 | Circuits | Lecture Slides Week 3 |
4 | Circuits | Lecture Slides Week 3 |
5 | Signals and Systems | Lecture Slides Week 5 |
6 | Signals and Systems | Lecture Slides Week 5 |
7 | Probability and Statistics in Engineering | Lecture Slides Week 7 |
8 | Exam Week | All lecture slides till Week 7 |
9 | Probability and Statistics in Engineering | Lecture Slides Week 9 |
10 | An introduction to Computer Science | Lecture Slides Week 10 |
11 | Data Science | Lecture Slides Week 11 |
12 | Introduction to Algorithms | Lecture Slides Week 12 |
13 | Machine Learning and Artificial Intelligence | Lecture Slides Week 13 |
14 | Software Engineering, UML, and State Machines | Lecture Slides Week 14 |
Resources |
Powerpoint slides |
1. Saeed Moaveni, “Engineering Fundamentals: An Introduction to Engineering” Cengage Learning, 5th edition. 2. 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 |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications | |||||||
No | Program Qualification | Contribution Level | |||||
1 | 2 | 3 | 4 | 5 | |||
1 | 1. An ability to apply knowledge of mathematics, science, and engineering | X | |||||
2 | 2. An ability to identify, formulate, and solve engineering problems | X | |||||
3 | 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 | 4. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice | X | |||||
5 | 5. An ability to design and conduct experiments, as well as to analyze and interpret data | X | |||||
6 | 6. An ability to function on multidisciplinary teams | X | |||||
7 | 7. An ability to communicate effectively | X | |||||
8 | 8. A recognition of the need for, and an ability to engage in life-long learning | X | |||||
9 | 9. An understanding of professional and ethical responsibility | X | |||||
10 | 10. A knowledge of contemporary issues | X | |||||
11 | 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 | 1 | 6 | 6 | |||
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) | 120 | |||||
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(120/30) | 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 COMPUTER ENGINEERING | COE1110748 | Fall Semester | 2+2 | 3 | 4 |
Course Program | ( B ) Pazartesi 16:30-17:15 ( B ) Pazartesi 17:30-18:15 ( B ) Pazartesi 18:30-19:15 ( B ) Cumartesi 11:00-11:45 ( B ) Cumartesi 12:00-12:45 ( B ) Cumartesi 12:45-13:30 ( A ) Pazartesi 18:30-19:15 ( A ) Pazartesi 19:30-20:15 ( A ) Pazartesi 20:30-21:15 ( A ) Cumartesi 16:30-17:15 ( A ) Cumartesi 17:30-18:15 ( A ) Cumartesi 18:30-19:15 |
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. Bahadır Kürşat GÜNTÜRK, Prof.Dr. Mehmet Kemal ÖZDEMİR, Assoc.Prof. Hüseyin Şerif SAVCI, Assist.Prof. Mustafa AKTAN |
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 computer engineering and describe its main fields of study. |
Course Content | This course contains; Introduction to Engineering Profession and Career,Introduction to Engineering Design,Circuits,Circuits,Signals and Systems,Signals and Systems,Probability and Statistics in Engineering,Exam Week,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 Machines. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
1. Define computer engineering | 14, 16, 19, 9 | A, E |
2. Explain different fields of computer engineering | 14, 19, 9 | A, E |
3. Summarize social, professional, and ethical issues | 10, 14, 16, 9 | A, E |
4. Translate innovation and entrepreneurship issues | 10, 14, 19, 9 | A, E |
5. Understand the steps required to design complex systems. | 17, 21, 9 | A, E, F |
Teaching Methods: | 10: Discussion Method, 14: Self Study Method, 16: Question - Answer Technique, 17: Experimental Technique, 19: Brainstorming Technique, 21: Simulation Technique, 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 Week 1 |
2 | Introduction to Engineering Design | Lecture Slides Week 2 |
3 | Circuits | Lecture Slides Week 3 |
4 | Circuits | Lecture Slides Week 3 |
5 | Signals and Systems | Lecture Slides Week 5 |
6 | Signals and Systems | Lecture Slides Week 5 |
7 | Probability and Statistics in Engineering | Lecture Slides Week 7 |
8 | Exam Week | All lecture slides till Week 7 |
9 | Probability and Statistics in Engineering | Lecture Slides Week 9 |
10 | An introduction to Computer Science | Lecture Slides Week 10 |
11 | Data Science | Lecture Slides Week 11 |
12 | Introduction to Algorithms | Lecture Slides Week 12 |
13 | Machine Learning and Artificial Intelligence | Lecture Slides Week 13 |
14 | Software Engineering, UML, and State Machines | Lecture Slides Week 14 |
Resources |
Powerpoint slides |
1. Saeed Moaveni, “Engineering Fundamentals: An Introduction to Engineering” Cengage Learning, 5th edition. 2. 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 |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications | |||||||
No | Program Qualification | Contribution Level | |||||
1 | 2 | 3 | 4 | 5 | |||
1 | 1. An ability to apply knowledge of mathematics, science, and engineering | X | |||||
2 | 2. An ability to identify, formulate, and solve engineering problems | X | |||||
3 | 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 | 4. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice | X | |||||
5 | 5. An ability to design and conduct experiments, as well as to analyze and interpret data | X | |||||
6 | 6. An ability to function on multidisciplinary teams | X | |||||
7 | 7. An ability to communicate effectively | X | |||||
8 | 8. A recognition of the need for, and an ability to engage in life-long learning | X | |||||
9 | 9. An understanding of professional and ethical responsibility | X | |||||
10 | 10. A knowledge of contemporary issues | X | |||||
11 | 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 |