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:

UNI267

Course Name:

Cosmology History

Semester:

Spring
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:

Öğr. Gör. EMRE DEMİR

Course Lecturer(s):

Öğr. Gör. Emre DEMİR

Course Assistants:

Course Objective and Content

Course Objectives:

Students who are successful in this course, without any knowledge of physics or mathematics (and geometry), have been purposed to be introduced the history of cosmology theories in chronological order, which is an important part of the history of science and to make them realize how the human thought and belief structures have evolved in this process, as well as their practical skills. In this sense, the aim of this course is to make them comprehend the basis of current issues about cosmology and the point it has reached, and to make students curious about scientific thinking and research.

Course Content:

They understand how humanity's way of thinking astronomy and later cosmology evolved, starting with prehistoric civilizations. With this knowledge, they see in a general chronology how practical applications such as religion and mainly the calendar, and then scientific developments of each period (with knowledge of mathematics / geometry and physics) are used for questions and solutions about the Universe. Meanwhile, they get simple information about prehistoric and post-historical civilizations and get to know scientists and thinkers.

Learning Outcomes

The students who have succeeded in this course;
1) Explains the emergence and development of information about cosmology in the prehistoric and post-historical period in general terms.
2) outlines basic popular knowledge about the history of cosmology and contemporary theories.

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction of Basic Concepts	Instructor Lecture notes
2)	The Universe Ideas in Ancient Egypt	Instructor Lecture notes
3)	The Universe Ideas in Ancient Mesopotamian Civilizations	Instructor Lecture notes
4)	The Universe Ideas in Ancient China	Instructor Lecture notes
5)	The Universe Ideas in Ancient India	Instructor Lecture notes
6)	The Universe Ideas in Pre-Islamic Turks	Instructor Lecture notes
7)	The Universe Ideas in Ancient Central and South American Civilizations	Instructor Lecture notes
8)	Mid-term
9)	The Universe Ideas in Ancient Greek Civilization	Instructor Lecture notes
10)	The Universe Ideas through the eras of Hellenistic and Roman	Instructor Lecture notes
11)	The Universe Ideas in the Medieval Christian and Islamic World	Instructor Lecture notes
12)	The Universe Ideas in the Renaissance and Enlightenment Periods	Instructor Lecture notes
13)	The Theories of the Universe in the 19th Century	Instructor Lecture notes
14)	The Theories of the Universe in the 20th and 21st Centuries	Instructor Lecture notes
15)	Final Exam

Sources

Course Notes / Textbooks:	Öğretim Elemanı Ders notları - Instructor Lecture notes
References:	Öğretim Elemanı Ders notları - Instructor Lecture notes

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2
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
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	14	4	2		84
Study Hours Out of Class	14	0	1		14
Midterms	1	14	1		15
Final	1	14	1		15
Total Workload					128