ARTIFICIAL INTELLIGENCE AWARENESS

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)

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Reference Books & Course Materials

1. 01 Philip C. Jackson, Introduction to Artificial Intelligence, Third Edition, Dover Publications, 2019.

Learning Outcomes

1. L01 Define fundamental AI concepts, distinguish ANI from AGI, and explain why AI is transforming industries. SOLO 3.3
2. L02 Describe core AI capabilities and limitations, and identify tasks suitable for AI automation. SOLO 2.5
3. L03 Explain how AI projects are structured and recognize AI’s role in business and organizational transformation. SOLO 3.3
4. 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
5. L05 Explain generative AI concepts, differentiate between prompting, fine-tuning, and RAG, and illustrate common applications (text, image, audio). SOLO 3.7
6. 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
7. 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
8. 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
9. L09 Explaing and Asses AI Philosophy SOLO 4.5

Program Outcomes

1. P01 To be able to understand analog and digital games' theoretical and historical development.
2. P02 Has a general understanding of the history and culture of the nation and the world in which he lives.
3. P03 Digital game engines are well-suited for application.
4. P04 His/Her mastery of the fundamental sciences underpins his/her expertise in the creation of digital games.
5. P05 Understand the mechanics, logic, and frameworks of analog and digital games.
6. P06 Possesses an aesthetic sensibility and knowledge of art.
7. P07 Communication, art, music, psychology, sociology, mythology, philosophy, economics, cinema, history, and other disciplines gained the potential to benefit from one another during the game design process.
8. P08 Knowing how media and digital games affect people and society and designing games responsibly in light of that knowledge.
9. P09 Be able to assess critically the knowledge and abilities acquired through research in the area and other related areas.
10. P10 Acquires expertise in artistic design to aid in the creation of digital games.
11. P11 Make good use of digital game creation software and programs.
12. P12 Possesses the skills necessary to write the code for digital games created for various platforms.
13. P13 Possesses the capacity to jointly build digital games' aesthetic and computational aspects.
14. P14 Possesses the capacity to create and communicate stories utilizing a variety of technologies.
15. P15 Has the capacity to design, plan, and analyze the game as a concept.
16. P16 Possesses the capacity to come up with tangible fixes for the issues that arise during the creation of digital games.

Po-Lo Matrix