Philosophy of Science (KAM312) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Philosophy of Science KAM312 General Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language Turkish
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
  • Assoc. Prof. Dr. Çağkan Sayın
Course Assistants
Course Objectives The aim of this course is to introduce the student to the field of history of dcience by considering the developments in science in terms of various epistemological assumptions.
Course Learning Outcomes The students who succeeded in this course;
Course Content The fundamental concepts of science; scientific method; science and antiquity; science and the Middle Ages; paradigms.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 The Ontological Necessity of Knowledge, Its Purpose and Its History
2 The Sources of Human Knowledge
3 Types of Knowledge
4 The Problem of Truth In Knowledge
5 The Ontological Foundations of Western Knowledge and the Fundamental Theories of Knowledge
6 The History of Western Knowledge: The Birth of Scientific Knowledge and Its Development
7 The Description and Criteria of Scientific Knowledge
8 The Fundamental Approaches In Social Sciences: Positivism, Its Main Conjectures, Methos and Techniques
9 Midterm Examination
10 Approaches Concerning Positivism
11 The Critiques of Positivism
12 An "Interpretive" Outlook of Science, Its Conjectures, Method and Techniques
13 The Main Approaches to the "Interpretive" Science and Its Critiques
14 The Holistic View of Science, Its Main Conjectures, Methos and Techniques

Sources

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 15 10
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 40
Final Exam/Final Jury 1 50
Toplam 17 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors.
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices.
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills.
4 Acquires analytical thinking and uses time effectively in the process of deduction.
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively.
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes.
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning.
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team.
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields.
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data.
11 Has professional and ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury
Total Workload 0