COMPUTER ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code: 1410111003
Ders İsmi: Introduction to Engineering & Ethics
Ders Yarıyılı: Fall
Ders Kredileri:
Theoretical Practical Credit ECTS
2 0 2 3
Language of instruction: TR
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Type of course: Necessary
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: E-Learning
Course Coordinator : Prof. Dr. Çağatay ULUIŞIK
Course Lecturer(s): Dr.Öğr.Üyesi Recep DURANAY
Prof. Dr. Çağatay ULUIŞIK
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: To inform students about the concepts and theories of ethics and engineering ethics that will help them to evaluate the social, economic, political, and legal processes in the professional activities undertaken, being aware of professional and ethical responsibility. It is the acquisition of basic knowledge and skills about basic computer programs used in MATLAB.
Course Content: The role of engineering in the development of civilisation. The responsibilities of engineers in terms of social life and environmental protection. The basic components of engineering and the importance of continuous education and learning. The importance of ethics in engineering. MATLAB applications for engineering calculations.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
1) Develops design skills.
3 - Competences
Communication and Social Competence
1) Develops the engineering perspective.
Learning Competence
Field Specific Competence
1) Develops analytical thinking.
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week Subject Related Preparation
1) Definition of engineering; main features that distinguish engineering from other fields ETİK, Prof. Dr. Sevgi İyi, Prof. Dr. Harun Tepe Editörler: Prof. Dr. İoanna Kuçuradi, Dç. Dr. Demet Taşdelen Anadolu Üniversitesi
2) Definition of Morals and Ethics Theories ETİK, Prof. Dr. Sevgi İyi, Prof. Dr. Harun Tepe Editörler: Prof. Dr. İoanna Kuçuradi, Dç. Dr. Demet Taşdelen Anadolu Üniversitesi
3) Ethics in Society and Institutions, Ethics Rules ETİK, Prof. Dr. Sevgi İyi, Prof. Dr. Harun Tepe Editörler: Prof. Dr. İoanna Kuçuradi, Dç. Dr. Demet Taşdelen Anadolu Üniversitesi
4) National and International Ethics and Corporate Objectives ETİK, Prof. Dr. Sevgi İyi, Prof. Dr. Harun Tepe Editörler: Prof. Dr. İoanna Kuçuradi, Dç. Dr. Demet Taşdelen Anadolu Üniversitesi
5) Society, Technology and Engineering Ethics ETİK, Prof. Dr. Sevgi İyi, Prof. Dr. Harun Tepe Editörler: Prof. Dr. İoanna Kuçuradi, Dç. Dr. Demet Taşdelen Anadolu Üniversitesi
6) Introduction to MATLAB/Octave. Uysal, M., 2004, Matlab ile Matematiksel Uygulamalar, Beta Basın Yayın, (1. Baskı), İstanbul. https://www.mathworks.com/
7) Solution of linear equation systems with MATLAB/Octave Uysal, M., 2004, Matlab ile Matematiksel Uygulamalar, Beta Basın Yayın, (1. Baskı), İstanbul. https://www.mathworks.com/
8) Midterm exam
9) MATLAB/Octave and basic matrix elements Uysal, M., 2004, Matlab ile Matematiksel Uygulamalar, Beta Basın Yayın, (1. Baskı), İstanbul. https://www.mathworks.com/
10) MATLAB/Octave and statistics Uysal, M., 2004, Matlab ile Matematiksel Uygulamalar, Beta Basın Yayın, (1. Baskı), İstanbul. https://www.mathworks.com/
11) MATLAB/Octave Symbolic Toolbox usage and symbolic operations Uysal, M., 2004, Matlab ile Matematiksel Uygulamalar, Beta Basın Yayın, (1. Baskı), İstanbul. https://www.mathworks.com/
12) Advanced MATLAB/Octave applications Uysal, M., 2004, Matlab ile Matematiksel Uygulamalar, Beta Basın Yayın, (1. Baskı), İstanbul. www.mathworks.com
13) Chamber of engineers, engineers' rights and responsibilities, standards, signature authority https://www.tmmob.org.tr/
14) Review of the subjects
15) Final exam

Sources

Course Notes / Textbooks:
References:

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları

1

2

3

Program Outcomes
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments 5
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Öğrenme Etkinliği ve Öğretme Yöntemleri

Bireysel çalışma ve ödevi
Course

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework
Grup Projesi

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 1 % 10
Project 1 % 10
Midterms 1 % 30
Semester Final Exam 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 2 28
Study Hours Out of Class 14 1 14
Midterms 2 1 2
Final 1 1 1
Total Workload 45