ARTIFICIAL INTELLIGENCE AWARENESS
- Course
- APSC123 - ARTIFICIAL INTELLIGENCE AWARENESS
- Department
- Management Information Systems - English - Undergraduate
- Course Type
- Online Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 6
- T+P+L
- 0 + 0 + 3
- Course Coordinator(s)
- Asst. Prof. Dr. Kian JAZAYERI
- Prerequisite
- -
Course Description
This course provides an accessible and engaging introduction to Artificial Intelligence (AI), focusing on its core concepts, real-world applications, and broader impact on society. Students from all academic backgrounds will explore how AI shapes everyday life, with special attention to its role in education, language learning (such as platforms like Duolingo), and classroom assignments. The course highlights how AI agents are increasingly used in areas like tutoring, content generation, and personalized learning support. Through real-world examples and discussions, students will learn about the potential and limitations of AI, while also understanding key ethical issues such as fairness, privacy, and responsible use.
ARTIFICIAL INTELLIGENCE AWARENESS
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Final Exam | Final | 40 |
| Midterm Exam | Midterm | 30 |
| Homework 1 | Assignment | 15 |
| Homework 2 | Assignment | 15 |
| Total | 100 | |
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | What is AI? (ANI vs AGI, Machine Learning, Data, Why Now?) |
| Week 2 | How AI Works in Practice (Machine Learning basics, examples, what AI can/can’t do) |
| Week 3 | Building AI Projects (workflow, selecting use cases, data importance) |
| Week 4 | Building AI in Organizations (AI strategy, roles in AI teams, pilot projects) |
| Week 5 | Generative AI Introduction (LLMs, image/audio/video generation, prompting) |
| Week 6 | Generative AI in Practice (software applications, RAG, fine-tuning, cost of AI) |
| Week 7 | Generative AI and Business (automation vs. augmentation, job task analysis) |
| Week 8 | Midterm Examination |
| Week 9 | AI and Society (AI hype, limitations, bias, adversarial attacks) |
| Week 10 | AI Ethics and Responsible AI |
| Week 11 | AI and Future of Work (jobs at risk, new opportunities, skills needed), The Future of AI (speculative futures, opportunities, risks, AGI debates) |
| Week 12 | AI in Daily Life (healthcare, education, governance, developing economies) |
| Week 13 | Policy and Regulation (global perspectives, EU AI Act, governance frameworks) |
| Week 14 | Philosophy of Artificial Intelligence |
| Week 15 | Final Exam |
Reference Books & Course Materials
- 01 Philip C. Jackson, Introduction to Artificial Intelligence, Third Edition, Dover Publications, 2019.
Learning Outcomes
- L01 Define fundamental AI concepts, distinguish ANI from AGI, and explain why AI is transforming industries. SOLO 3.3
- L02 Describe core AI capabilities and limitations, and identify tasks suitable for AI automation. SOLO 2.5
- L03 Explain how AI projects are structured and recognize AI’s role in business and organizational transformation. SOLO 3.3
- L04 Analyze how organizations adopt AI, identify roles in AI transformation, and evaluate its potential to augment or automate tasks across professions. SOLO 3.7
- L05 Explain generative AI concepts, differentiate between prompting, fine-tuning, and RAG, and illustrate common applications (text, image, audio). SOLO 3.7
- L06 Recognize AI’s limitations, sources of bias, and risks from adversarial manipulation, and discuss fairness, transparency, privacy, and responsible AI guidelines. SOLO 3.5
- L07 Assess AI’s impact on jobs, workforce transitions, and future skill requirements, and analyze its effects across sectors such as education, healthcare, and governance. SOLO 4.5
- L08 Explain different approaches to AI regulation, evaluate policy frameworks, and critically reflect on possible AI futures and their ethical and social implications. SOLO 4.75
- L09 Explaing and Asses AI Philosophy SOLO 4.5
Program Outcomes
- P01 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.
- P02 Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
- P03 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
- P04 Ability to devise, select, and use modern techniques and tools needed for analysing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively
- P05 Ability to design and conduct experiments, gather data, analyse and interpret results for investigating complex engineering problems or discipline specific research questions
- P06 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
- P07 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
- P08 Recognition of the need for lifelong learning ; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
- P09 Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
- P10 Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
- P11 Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
Po-Lo Matrix
| LO | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | P11 | Average |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - | - | - |
| L05 | - | - | - | - | - | - | - | - | - | - | - | - |
| L06 | - | - | - | - | - | - | - | - | - | - | - | - |
| L07 | - | - | - | - | - | - | - | - | - | - | - | - |
| L08 | - | - | - | - | - | - | - | - | - | - | - | - |
| L09 | - | - | - | - | - | - | - | - | - | - | - | - |