HISTORY OF SCIENCE
- Course
- PHIL230 - HISTORY OF SCIENCE
- Department
- Basic Sciences and Humanities
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 5
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- Assoc. Prof. Dr. Hasan SAMANİ
- Prerequisite
- -
Course Description
Topics to be discussed in the course are: The human need to know and the differences between science and other forms of knowing, the emergence of science in ancient civilizations, scientific works of Plato, Aristotle, Eucleides, Archimedes and Ptolemy, science and philosophy in medieval Europe, science in Islamic Civilization, the scientific studies of Farabi and Avicenna, the effect of Islamic science on the West, scientific studies of Roger Bacon, Francis Bacon and Copernicus, science in Renaissance and Enlightenment, the intellectual foundations of the scientific revolution, the works of Kepler, Galileo and Newton, the birth of the first science societies in Europe, examples from 20th century science, developments in physical, biological and social sciences in the 20th and 21st century.
HISTORY OF SCIENCE
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Midterm | Midterm | 40 |
| Final | Final | 60 |
| Total | 100 | |
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction: Nature of Science; Science in Prehistoric Times |
| Week 2 | Science in ancient Mesopotamian Civilization |
| Week 3 | Egyptian Science |
| Week 4 | Greek Philosophy and Science: Charecteristics |
| Week 5 | Greek Science I |
| Week 6 | Greek Science II |
| Week 7 | Roman Science |
| Week 8 | Midterm Week |
| Week 9 | Mediaval Science: Christian West |
| Week 10 | Mediaval Science: Islamic World |
| Week 11 | Humanism and Science during the Renaissance |
| Week 12 | Enlightenment and Scientific developments: 17 and 18 centuries |
| Week 13 | Aspects from 19th Century |
| Week 14 | Aspects from 20th century |
| Week 15 | Final Exam Week |
Reference Books & Course Materials
- 01 H.S. Williams-E. Williams, A History of Science,
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
- P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
- P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
- P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
- P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
- P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
- P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
- P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
- P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
- P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.