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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
-
Keywords

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

  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 1. Having the ability to understand and discuss international relations discipline by using an interdisciplinary methodology to merge the knowledge coming from sociology, economics, psychology, political sciences well as diplomatic history.
  2. P02 2. Having an adequate knowledge of the history and the epochs of international system and being able to identify historical evolution of the contemporary world politics.
  3. P03 3. Recognizing local, regional and international actors functioning within the international system.
  4. P04 4. Understanding the legal framework of the current international system
  5. P05 5. Ability to identify the relations between the key actors of the international system – the states – from a theoretical as well as multi-dimensional scientific and academic methods.
  6. P06 6. Ability to analyse the roles and positions of the non-state actors – international organizations in particular – within the current world system.
  7. P07 7. Ability to recognize political, socio-economic and cultural structures embedded in international relations.
  8. P08 8. Exploring the roots of conflicts among the actors and produce solutions at local, regional and international levels with an analytical focus.
  9. P09 9. Being able to understand the politics and the functioning of political institutions in theory and practice.
  10. P10 10. Understanding the historical emergence of various political cultures and gaining ability to assess them comparatively.
  11. P11 11. Prepare international relations graduates; having a vast knowledge, academic formation and skills to work in public offices, civil society organizations, international institutions and companies at local and global levels.
  12. P12 12. To have moral and ethical understanding in the field of work.

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 - - - - - - - - - - - - -