Computer Engineering Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

UNI333

Course Name:

Man in the Age of Manufacturer Artificial Intelligence

Semester:

Spring

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

Type of course:

University Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

E-Learning

Course Coordinator:

Doç. Dr. ŞEBNEM ÖZDEMİR

Course Lecturer(s):

Şebnem Özdemir

Course Assistants:

Course Objective and Content

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

Learning Outcomes

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.

Course Flow Plan

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

Sources

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 - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems
2) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
3) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
4) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.
5) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
6) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.
10) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
11) Ability to work effectively within and multidisciplinary teams; individual study skills.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems
2)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
3)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
4)	Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.
5)	Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
6)	Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.
7)	Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9)	Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.
10)	Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
11)	Ability to work effectively within and multidisciplinary teams; individual study skills.

Assessment & Grading

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

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	14	42
Homework Assignments	1	45
Final	1	50
Total Workload		137