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 1. Hukukun temel kavramlarını anlama, kullanma, karşılaştırma, yorumlama, sonuç çıkarma ve uygulayabilme becerisini kazandırma 2. Hukuk normlarını, onlara kaynaklık eden tarihsel gelişimi dikkate alarak hukuk teorisi ışığında analiz edebilme yeteneği kazandırma 3. Hukukun ulusal ve uluslararası boyutlarını, mahkeme içtihatları ve uygulamaları takip etmek suretiyle anlama ve işleme yeteneği kazandırma 4. Hukuki vakaların çözümlenmesi ve sonuçları yorumlama becerisi kazanma 5. Bireysel başarının yanında, ders içi etkinlikler, farazi dava çalışmaları, adliye çalışmaları ve diğer mesleki ve akademik ziyaretler ile kollektif çalışma becerisinin kazanılmasını sağlama
- P02 1. Hukukun temel kavramlarını anlama, kullanma, karşılaştırma, yorumlama, sonuç çıkarma ve uygulayabilme becerisini kazandırma
- P03 To gain the ability to analyze legal norms within the context of theories of law, taking into consideration historical developments
- P04 To gain the ability to follow, comprehend and apply domestic and international laws, and interpret court decisions
- P05 To gain the ability to solve and comment upon legal problem questions
- P06 In addition to personally gained skills, to develop team-working skills through in-class activities, moot courts, court room and other professional and academic visits.
Po-Lo Matrix
| LO | P01 | P02 | P03 | P04 | P05 | P06 | Average |
|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - |
| L05 | - | - | - | - | - | - | - |
| L06 | - | - | - | - | - | - | - |
| L07 | - | - | - | - | - | - | - |
| L08 | - | - | - | - | - | - | - |
| L09 | - | - | - | - | - | - | - |