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TR

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. Recognized and applied all the learning tools and techniques learnt which they will implement throughout their lives and future careers.
  2. P02 2. Become confident in their knowledge and skills so that they can successfully study and work on their own.
  3. P03 3. Attained a high level of professionalism through the fundamental knowledge and skills gained in both marketing and digital fields.
  4. P04 4. Demonstrated a solid understanding of core business principles in the primary areas of digital marketing, web technologies, new media and management, as well as the interconnectedness of these disciplines in the running of an organization.
  5. P05 5. Been able to critically implement their knowledge and skills in both written, oral and digital forms to an intended audience, based on creative and analytical approaches.
  6. P06 6.Demonstrated their understanding of the ethical and protected use of various new media such as social media, mobile technology, web analytics, search engine optimization, and viral advertising in both their studies and careers.
  7. P07 7. Implemented best practices in business for planning, decision-making, and problem-solving based on collaborative work and studies.
  8. P08 8. Demonstrated effective communication skills in addition to in-depth of analysis and synthesis which are essential in multicultural educational and work contexts.
  9. P09 9. Demonstrated critical thinking characterized by the ability to define business problems with the evidence available, discern fact from opinion, determine underlying causes, formulate and evaluate potential solutions.
  10. P10 10. Been able to implement ideas and concepts through the development and creation of digital content for effective social media marketing strategies, and designing and evaluating the effectiveness of interactive web sites to increase web traffic flows, visibility, consumer satisfaction and response rates.
  11. P11 11. Embodied integrity in their work and actions, honor confidentiality, followed generally accepted codes of conduct in the digital marketing industry.
  12. P12 12. Devoted themselves to follow the codes of ethics, improve privacy issues with social media, conflict, and citizenship in order to frame a better understanding of digital marketing.

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