ECTS - Software Engineering Ethics

Software Engineering Ethics (SE450) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Software Engineering Ethics SE450 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to introduce the theory and practice of computer and information ethics. It also covers the basics of ethical decision-making, and emphasizes group work and presentations.
Course Learning Outcomes The students who succeeded in this course;
  • Analyze the impacts of information and communication technologies (ICT), the connection between ethics and technology, the current and emerging ethical issues in the information society.
  • Recognize ethical principles, professional responsibilities and codes of conduct.
  • Identify the ethically significant features of problematic situations encountered in implementing and executing an IT system
  • Choose (and defend the choice of) a theory or principle for resolving an ethical dispute.
  • Discuss the ethical behavior in global software development environment.
Course Content Corporate responsibility, engineering responsibilities, personal rights, whistle blowing, conflicts of interest, professional autonomy, risk assessment, sustainable development, and the place and purpose of engineering codes of ethics, ethics, rules and principles in software engineering and other information systems, ethical work and ethical decis

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction Ch. 1 (main text)
2 Code of ethics Ch. 2-3, Appendix
3 Roots of Ethics Ch. 2-3
4 Decision making and professionalism Ch. 3, Ch. 8
5 Decision making and professionalism Ch. 3, Ch. 8
6 Computer Crime and infowar Ch. 4-6
7 Computer Crime and infowar Ch. 4-6
8 Information, Privacy and The Law Ch. 4-7
9 Information, Privacy and The Law Ch. 4-7
10 Risk, Reliability, AI, and the Future Ch. 7
11 e-Commerce and e-Business Ethics Ch. 7-8
12 e-Commerce and e-Business Ethics Ch. 7-8
13 Social Issues Ch. 8
14 Social Issues Ch. 8
15 Final Examination Period Review of topics
16 Final Examination Period Review of topics

Sources

Course Book 1. Johnson, D. G., Computer Ethics, Prentice Hall, 2009
Other Sources 2. Schultz, R. A., Contemporary Issues in Ethics and Information Technology, IRM Press, 2005
3. Anderson J. G., Goodman, K., Ethics and Information Technology, Springer, 2002
4. Reynolds, G., Ethics in Information Technology, Course Technology, 2006
5. H. Tavani, Ethics & Technology, John-Wiley, 2004

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 4 20
Presentation 1 20
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 35
Toplam 7 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. X
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. X
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. X
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively. X
5 The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline. X
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually X
7 Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
8 The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
9 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology. X
10 The ability to behave according to ethical principles, awareness of professional and ethical responsibility; X
11 Knowledge of the standards utilized in software engineering applications
12 Knowledge on business practices such as project management, risk management and change management; X
13 Awareness about entrepreneurship, innovation
14 Knowledge on sustainable development
15 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety; X
16 Awareness of the legal consequences of engineering solutions
17 An ability to describe, analyze and design digital computing and representation systems. X
18 An ability to use appropriate computer engineering concepts and programming languages in solving computing problems. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration 1 5 5
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 100