ENGINEERING MANAGEMENT (TURKISH, THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ISL5301 Research Methods and Ethics Spring 3 0 3 9
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: Turkish
Type of course:
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. SENEM CEVHER
Recommended Optional Program Components: none
Course Objectives: The aim of this course is to give students the knowledge, skills, research-analysis and interpretation of scientific research methods in the philosophy of science-method -analysis. At lesson; science and social sciences, research process and literature scanning, conceptual framework of a research, research design, sample selection, measurement and processing, quantitative data analysis and reporting with packet programs will be processed

Learning Outcomes

The students who have succeeded in this course;
They must have general knowledge of European Values and Integration issuesLearn the scope and bases of scientific research.
Learn scientific information access and data collection methods.
Reads, understands and analyzes data in scientific texts.
Learn how to prepare a research report
It has knowledge in scientific ethics and can prevent unethical behaviors.

Course Content

Scientific Research Methods, Scientific Research, Research Problems, Hypotheses and Aims, Scientific Information Access: Library, Digital Library, Databases, Scientific Data Collection and Measurement Methods, Data Analysis Methods and Presentation, Validity Concepts of Reliability, Research Proposal Writing -Production of "Summary" Proposal, Methods of Preparing / Reporting Research Report, Basic Rules and Examples in Article Writing, Directive of Scientific Research and Publication of Higher Education Council

Weekly Detailed Course Contents

Week Subject Related Preparation
1) "Introduction to the course" Reading
2) Scientific Method, Scientific Writing and Ethics Reading
3) Research Problems and Literature Scanning Reading
4) The Conceptual Framework of the Research Reading
5) Research Design: Research Patterns and Methods Reading
6) Universe and Sampling Reading
7) Operate Up Reading
8) Data Collection Techniques Reading
9) Introduction to IBM SPSS and Basic Statistics Measurements Reading
10) Data Analysis I-Discrepancy Analyzes (t-test, ANOVA) Reading
11) Data Analysis III - Hierarchical Regression and Reliability Analysis Reading
12) Data Analysis II-Relational Analyzes (Correlation, Regression, Multiple Regression) Reading
13) Data Analysis IV Reading
14) General evaluation Reading
15) Final Exam

Sources

Course Notes / Textbooks: Şener Büyüköztürk , Özcan Aygün, Ebru Kılıç Çakmak, Şirin Karadeniz, “Bilimsel Araştırma Yöntemleri”, Pegem Yayıncılık, ISBN: 9944919289, 2014
References: Şener Büyüköztürk , Özcan Aygün, Ebru Kılıç Çakmak, Şirin Karadeniz, “Bilimsel Araştırma Yöntemleri”, Pegem Yayıncılık, ISBN: 9944919289, 2014

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 50
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Application 13 7 91
Presentations / Seminar 1 20 20
Project 1 24 24
Midterms 1 3 3
Final 1 3 3
Total Workload 183

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution