BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| INFORMATION TECHNOLOGIES (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 : | Instructor HAKAN ASLAN |
| Course Lecturer(s): |
Dr. Öğr. Üyesi SERKAN KÖYBAŞI Assoc. Prof. ASLI MAKARACI BAŞAK Dr. Öğr. Üyesi MEHMET SİNAN ALTUNÇ Assoc. Prof. HAKKI AKTAŞ Dr. Öğr. Üyesi İRFAN AKYÜZ Dr. Öğr. Üyesi AHMET NACİ ÜNAL Dr. Öğr. Üyesi MUHTEREM ŞEBNEM ENSARİ Prof. Dr. YAMAN ÖZTEK Dr. AHMET İLKAY CEYHAN Assoc. Prof. MİNE MUKADDES AFCAN FINDIKLI Dr. Öğr. Üyesi OKAN YAŞAR Dr. Öğr. Üyesi DERYA TARBUCK Prof. Dr. EBRU ŞULE CANAN SOKULLU Prof. Dr. AYHAN BIÇAK Assoc. Prof. FİGEN YILDIRIM Assoc. Prof. ÖMER TURUNÇ Prof. Dr. AHMET ERKUŞ Prof. Dr. SAİT GÜRBÜZ Assoc. Prof. OKAN YELOĞLU Prof. Dr. SENAY YÜRÜR Dr. Öğr. Üyesi SERHAT DAĞLI Prof. Dr. SERPİL BÜLBÜL Dr. Öğr. Üyesi SEHER TEZERGİL Instructor TUĞBA KIRAL ÖZKAN Dr. Öğr. Üyesi AHU AYANOĞLU Dr. Öğr. Üyesi GÜLEN SİNEM TEK Prof. Dr. MURAT ÇİNKO Dr. Öğr. Üyesi MUSTAFA SUNDU Dr. Öğr. Üyesi GÜL ESER Assoc. Prof. ESRA ALBAYRAKOĞLU Dr. Öğr. Üyesi ZEYNEP ECE ÜNSAL Dr. Öğr. Üyesi YÜKSEL ALPER ECEVİT Assoc. Prof. NİHAT TAŞ Instructor GÜNGÖR HACIOĞLU Dr. Öğr. Üyesi AHMET BAŞCI Dr. Öğr. Üyesi EBRU BEYZA BAYARÇELİK Dr. Öğr. Üyesi AYŞE İPEK SARIÖZ BÜYÜKALP |
| 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 |