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.
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
-
Fall Semester
2+2
3
4
Course Program
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, Assoc.Prof. Hüseyin Şerif SAVCI, Assist.Prof. Mustafa AKTAN
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.
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
