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 1- To have advanced theoretical and practical knowledge supported by textbooks, application tools and other resources including current information in the field of Accounting and Finance.
2. P02 2- To be able to use advanced theoretical and practical knowledge acquired in the field of Accounting and Finance.
3. P03 3- To be able to interpret and evaluate data, identify problems, analyze and develop solutions based on research and evidence by using advanced knowledge and skills acquired in the field of Accounting and Finance.
4. P04 4- To be able to take responsibility as an individual and a team member in order to solve complex and unpredictable problems in accounting and finance applications.
5. P05 5- To be able to plan and manage activities for the development of employees under the responsibility of a project.
6. P06 6- To be able to determine the learning requirements in the field of Accounting and Finance and to direct their learning.
7. P07 7- To be able to inform people and institutions about issues related to the field of accounting and finance, and to be able to transfer their ideas and solution proposals in writing and orally.
8. P08 8- To be able to use information and communication technologies together with computer software at the European Computer Driving License Advanced Level required by the field of Accounting and Finance.
9. P09 9- To act in accordance with social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the results related to the field of accounting and finance.

Po-Lo Matrix