UNI267 Cosmology HistoryIstinye UniversityDegree Programs Industrial Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Industrial Engineering (English)

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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
Course Credits:
ECTS
5
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
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 industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering 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 effectice 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 industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial 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 industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering 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 effectice 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 industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial 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