ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| Management Information Systems (English) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code: | MIS026 | ||||
| Course Name: | Data, Artificial Intelligence and Ethics | ||||
| Semester: | Fall | ||||
| Course Credits: |
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| Language of instruction: | English | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Departmental Elective | ||||
| Course Level: |
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| Mode of Delivery: | E-Learning | ||||
| Course Coordinator: | Doç. Dr. ŞEBNEM ÖZDEMİR | ||||
| Course Lecturer(s): | Ömer Ozan Evkaya | ||||
| Course Assistants: |
Course Objective and Content
| Course Objectives: | The goal of this course for each student is; To have a general understanding of the importance of AI ethics and improve their perspective from non-technical sides of AI applications. |
| Course Content: | This course covers; General overview of AI ethics, Different Approaches for AI ethics, Understanding the importance of ethics in AI, Main concepts for ethical issues in AI business, and recent discussions. |
Learning Outcomes
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The students who have succeeded in this course;
1) Upon successful completion of the course, students know key concepts in AI ethics. 2) Upon successful completion of the course, students understand the main phenomena of the digital age. 3) Upon successful completion of the course, students explain the importance of ethical violations in AI business. 4) Upon successful completion of the course, students search for further research questions for the public good. |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Introduction to AI and AI ethics | |
| 2) | Key Concepts and Terms for AI ethics | |
| 3) | Major Themes in AI ethics | |
| 4) | Ethics of Algorithms and Machine bias (AI Exp 360) | |
| 5) | Autonomous Systems | |
| 6) | Current Discussion Worldwide (Examples from World) | |
| 7) | Worldwise Harmful Case studies | |
| 8) | Midterm Exams | |
| 9) | Examining the Black Box: Responsible AI and Moral responsibility | |
| 10) | Machine Learning and AI ethics for Healthcare | |
| 11) | Recent AI-based tools and concerns | |
| 12) | Ethical concerns of Deepfake and Metaverse | |
| 13) | Foreseeable threats of AI and possible solutions | |
| 14) | PROJECT Q&A session | |
| 15) | PROJECT REPORT SUBMIT | |
| 16) | Final Exams |
Sources
| Course Notes / Textbooks: | Richterich, Annika. 2018. The Big Data Agenda: Data Ethics and Critical Data Studies. London: University of Westminster Press. DOI: https://doi. org/10.16997/book14 |
| References: | Ek kaynak ihtiyaç duyulmamaktadır. - No additional resources are required. |
Course - Program Learning Outcome Relationship
| Course Learning Outcomes | 1 |
2 |
3 |
4 |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Program Outcomes | |||||||||||||
| 1) It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering. | 3 | 3 | 2 | 2 | |||||||||
| 2) Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming. | 2 | 2 | 3 | 2 | |||||||||
| 3) Uses different information technologies and systems for understanding and solving various business problems. | 3 | 2 | 3 | 2 | |||||||||
| 4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. | 2 | 3 | 2 | 2 | |||||||||
| 5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. | 3 | 2 | 3 | 2 | |||||||||
| 6) Gains technical and managerial contributions to IT projects and takes responsibility. | 2 | 3 | 2 | 3 | |||||||||
| 7) Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. | 1 | 2 | 3 | 2 | |||||||||
| 8) Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | 1 | 1 | 2 | 3 | |||||||||
| 9) Develops teamwork, negotiation, leadership and entrepreneurship skills. | 3 | 2 | 3 | 2 | |||||||||
| 10) Has universal ethical values, social responsibility awareness and sufficient legal knowledge. | 3 | 3 | 2 | 2 | |||||||||
| 11) Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | 3 | 3 | 3 | 2 | |||||||||
| 12) Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms. | 3 | 2 | 3 | 2 | |||||||||
| 13) It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. | 2 | 3 | 2 | 3 | |||||||||
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering. | 3 |
| 2) | Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming. | 3 |
| 3) | Uses different information technologies and systems for understanding and solving various business problems. | 3 |
| 4) | Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. | 3 |
| 5) | Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. | 2 |
| 6) | Gains technical and managerial contributions to IT projects and takes responsibility. | 2 |
| 7) | Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. | 2 |
| 8) | Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | 1 |
| 9) | Develops teamwork, negotiation, leadership and entrepreneurship skills. | 2 |
| 10) | Has universal ethical values, social responsibility awareness and sufficient legal knowledge. | 3 |
| 11) | Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. | 3 |
| 12) | Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms. | 1 |
| 13) | It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field. | 3 |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Presentation | 1 | % 15 |
| Midterms | 1 | % 35 |
| Final | 1 | % 50 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 50 | |
| PERCENTAGE OF FINAL WORK | % 50 | |
| total | % 100 | |
Workload and ECTS Credit Calculation
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 42 |
| Study Hours Out of Class | 16 | 79 |
| Presentations / Seminar | 1 | 1 |
| Midterms | 1 | 2 |
| Final | 1 | 3 |
| Total Workload | 127 | |