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 Integrate knowledge of interior architecture principles, spatial organization, and visual perception to develop user-centered, functional, aesthetically enriching, and innovative spatial solutions.
- P02 Analyze and evaluate the relationships among user needs, functional constraints, ergonomics, accessibility, and universal design principles to develop interior architecture solutions across different design scales and contexts.
- P03 Research, analyze, and relate historical, cultural, and theoretical knowledge to justify design decisions that respect local values while responding to global cultural diversity.
- P04 Communicate design ideas effectively by integrating visual communication tools, manual and digital representation techniques, and appropriate digital technologies, including artificial intelligence-assisted visualization methods, where appropriate.
- P05 Evaluate and synthesize appropriate materials, color schemes, lighting, and furniture systems using up-to-date technologies and aesthetic principles to shape experiential atmospheres.
- P06 Integrate environmental responsibility, occupant health, and ethical principles to develop sustainable, safe, and healthy interior architecture solutions and justify design decisions.
- P07 Collaborate and coordinate with professionals from architecture, landscape architecture, engineering, and related disciplines by integrating multidisciplinary knowledge to develop comprehensive spatial solutions.
- P08 Critically evaluate research, contemporary approaches, and artificial intelligence-assisted design and research methods to generate innovative knowledge and design solutions while sustaining lifelong learning and professional development.
- P09 Justify professional decisions by integrating ethical principles, cultural, societal, and aesthetic responsibilities with the responsible, legal, and ethical use of digital technologies, including artificial intelligence.
- P10 Plan, manage, and evaluate interior architecture projects by integrating technical systems, user-centered design methods, regulatory requirements, and contemporary digital project management and design technologies.
- P11 Evaluate and reinterpret existing and historic interiors by integrating conservation principles, adaptive reuse strategies, and digital documentation techniques to support cultural continuity and sustainable heritage conservation.
- P12 Integrate inclusive and socially responsible design approaches with entrepreneurship, lifelong learning, professional collaboration, and adaptation to technological transformation to contribute to the sustainable advancement of the profession and society.
Po-Lo Matrix
| LO | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | P11 | P12 | Average |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L05 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L06 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L07 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L08 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L09 | - | - | - | - | - | - | - | - | - | - | - | - | - |