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

Course Introduction and Application Information

Course Code:

UNI309

Course Name:

Introduction to Metaverse

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

English

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:

Prof. Dr. HATİCE ÖZ PEKTAŞ

Course Lecturer(s):

Michael Barngrover

Course Assistants:

Course Objective and Content

Course Objectives:

The main objective of the course is to develop within students an understanding of the core components of the metaverse and an awareness of its potential impacts on society. By the end of the class, students will possess developed ethical positions on many of the important metaverse topics.

Course Content:

The course introduces fundamental elements that form the foundation of various conceptualizations of “The Metaverse”. Topics to be presented and discussed include shared spatialization, digital mediation of reality, socialization, and assigning value to digital objects. The course will devote significant time to discussions of ethics and the impacts that digitization will have on non-digital aspects of society. Students will be required to research and write several essays throughout the course and design a metaverse scenario as a final group project.

Online class sessions will frequently take place inside of 2D and 3D “metaverse platforms”. Students will be expected to know how to use their keyboard and mouse/touchpad to navigate these spaces and to use their microphone effectively.

This is not a course focused on cryptographic topics. Blockchains, cryptocurrencies, and NFTs will not be the focus of the course, although these subjects will be included in discussions of metaverse economics and concepts of ownership.

Learning Outcomes

The students who have succeeded in this course;
1) Understand the concept and components of the Metaverse.
2) Understand the role and impact of avatars in the Metaverse learning environment.
3) Explore tools and modalities for synchronous learning in the Metaverse.
4) Address accessibility and equity considerations in designing inclusive Metaverse learning experiences
5) analyze the impact of diverse perspectives and cultures on Metaverse learning.

Course Flow Plan

Week	Subject	Related Preparation
1)	he concept and the evolving dynamics of Metaverse
2)	origins of metaverse and its impact on various industries
3)	understanding the Metaverse's interactive digital environments, virtual reality (VR), augmented reality (AR), and mixed reality (MR)
4)	understanding the Metaverse's interactive digital environments, virtual reality (VR), augmented reality (AR), and mixed reality (MR)_2
5)	ethical, legal, and privacy considerations related to Metaverse
6)	leveraging Metaverse for business growth, virtual reality, gaming and social interactions_1
7)	leveraging Metaverse for business growth, virtual reality, gaming and social interactions_2
8)	midterm week
9)	3D modeling, programming, blockchain understanding, virtual reality integration, and AR development
10)	concepts of dataspace management, virtual economies, digital asset creation, and setting up interactive experiences
11)	future possibilities and innovations in the Metaverse ecosystem
12)	Student presentations
13)	Student presentations
14)	Student presentations
15)	final week
16)	final week

Sources

Course Notes / Textbooks:	Readings to be assigned and provided in class Access to VR headsets and library of VR experiences Computers capable of opening webVR sites
References:	Readings to be assigned and provided in class Access to VR headsets and library of VR experiences Computers capable of opening webVR sites

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) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
3) 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.
4) 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.
5) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
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) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) 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.

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)	Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
3)	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.
4)	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.
5)	Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6)	Ability to work effectively within and multidisciplinary teams; individual study skills.
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.	2
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11)	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.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 40
Midterms	1	% 30
Final	1	% 30
total		% 100
PERCENTAGE OF SEMESTER WORK		% 70
PERCENTAGE OF FINAL WORK		% 30
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	14	42
Study Hours Out of Class	14	14
Project	5	21
Midterms	3	21
Final	3	21
Total Workload		119