Computer Programming (Evening Education) | |||||
Associate | TR-NQF-HE: Level 5 | QF-EHEA: Short Cycle | EQF-LLL: Level 5 |
Course Code: | UNI333 | ||||
Course Name: | Man in the Age of Manufacturer Artificial Intelligence | ||||
Semester: | Fall | ||||
Course Credits: |
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Language of instruction: | Turkish | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | University Elective | ||||
Course Level: |
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Mode of Delivery: | E-Learning | ||||
Course Coordinator: | Doç. Dr. ŞEBNEM ÖZDEMİR | ||||
Course Lecturer(s): | Şebnem Özdemir | ||||
Course Assistants: |
Course Objectives: | 1. Understand the fundamental concepts and principles of artificial intelligence and its impact on human society. 2. Analyze the ethical, social, and cultural implications of generative artificial intelligence. 3. Explore the potential benefits and risks of AI in various domains, including art, literature, music, and communication. 4. Develop critical thinking skills to evaluate the role of AI in shaping human identity, creativity, and relationships. 5. Foster a multidisciplinary perspective |
Course Content: | 1. Introduction to Artificial Intelligence: History, concepts and types of artificial intelligence. 2. Generative Artificial Intelligence: Overview, applications and examples. 3. Ethical Considerations: Privacy, bias, accountability and transparency in AI systems. 4. AI and Human Creativity: Exploring the impact of AI on the creation of art, literature and music. 5.Social Impacts of AI: Automation, employment, inequality and social transformation. 6.AI and the Future |
The students who have succeeded in this course;
1) Students will be able to critically analyze the ethical and societal implications of generative artificial intelligence. 2) Students will develop an understanding of the role of AI in shaping human creativity and communication. 3) Students will evaluate the impact of AI on human identity, relationships, and decision-making processes. 4) Students will gain insight into the potential risks and benefits of AI in various domains. 5) Students will apply interdisciplinary perspectives to assess the future implications of AI on society. |
Week | Subject | Related Preparation |
1) | Introduction to Artificial Intelligence | |
2) | The Ethics of AI: Privacy and Bias | |
3) | Generative AI and Human Creativity | |
4) | ChatGpt, Bard, LLMA as a generative AI | |
5) | ChatGpt, Bard, LLMA as a generative AI | |
6) | Midjourney, Stable Diffusion, Dall-e as a Generative AI | |
7) | Midjourney, Stable Diffusion, Dall-e as a Generative AI | |
8) | Mid-Term Week | |
9) | Artificial intelligence with different industry applications: Music Production | |
10) | Artificial intelligence with different industry applications: 3D design elements | |
11) | Artificial intelligence with different industry applications: Animation of Images | |
12) | Generative AIs and computer-based manipulation | |
13) | Coding and development processes with ChatGPT | |
14) | AI in Music and Entertainment | |
15) | Future Implications and Conclusion | |
16) | Final Exam |
Course Notes / Textbooks: | 1. "The AI Does Not Hate You: Superintelligence, Rationality, and the Race to Save the World" by Tom Chivers 2. "Artificial You: AI and the Future of Your Mind" by Susan Schneider |
References: | 1. Bostrom, N. (2016). Superintelligence: Paths, Dangers, Strategies. 2. Harari, Y. N. (2018). 21 Lessons for the 21st Century. |
Course Learning Outcomes | 1 |
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Program Outcomes | |||||||||||||
1) He gains the ability of problem solving and analytical thinking skills. | |||||||||||||
2) He learns the fundamentals of computer programming, hardware and software and the basic computer concepts. | |||||||||||||
3) He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem. | |||||||||||||
4) He understands object-oriented programming concept and web programming. | |||||||||||||
5) He learns radix systems, fundamental electronics and computer hardware knowledge. | |||||||||||||
6) He gains mobile programming skills and develops applications for mobile platforms. | |||||||||||||
7) He designs and codes databases. | |||||||||||||
8) He learns to program and use computer networks, open source operating systems. | |||||||||||||
9) He uses the English language effectively. | |||||||||||||
10) He learns to use appropriate data structures according to programming requirements. | |||||||||||||
11) He develops software individually or as a team. | |||||||||||||
12) He follows developments in the field, high technology tools / applications. | |||||||||||||
13) He gains awareness of professional and ethical responsibility and has an awareness of professional ethics. |
No Effect | 1 Lowest | 2 Average | 3 Highest |
Program Outcomes | Level of Contribution | |
1) | He gains the ability of problem solving and analytical thinking skills. | 1 |
2) | He learns the fundamentals of computer programming, hardware and software and the basic computer concepts. | 1 |
3) | He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem. | 1 |
4) | He understands object-oriented programming concept and web programming. | 2 |
5) | He learns radix systems, fundamental electronics and computer hardware knowledge. | 2 |
6) | He gains mobile programming skills and develops applications for mobile platforms. | 2 |
7) | He designs and codes databases. | 2 |
8) | He learns to program and use computer networks, open source operating systems. | 2 |
9) | He uses the English language effectively. | 1 |
10) | He learns to use appropriate data structures according to programming requirements. | 1 |
11) | He develops software individually or as a team. | 2 |
12) | He follows developments in the field, high technology tools / applications. | 2 |
13) | He gains awareness of professional and ethical responsibility and has an awareness of professional ethics. | 2 |
Semester Requirements | Number of Activities | Level of Contribution |
Midterms | 1 | % 45 |
Final | 1 | % 55 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 45 | |
PERCENTAGE OF FINAL WORK | % 55 | |
total | % 100 |
Activities | Number of Activities | Workload |
Course Hours | 14 | 42 |
Homework Assignments | 1 | 45 |
Final | 1 | 50 |
Total Workload | 137 |