School/Faculty/Institute Graduate School
Course Code ITC 560
Course Title in English Seminar
Course Title in Turkish Seminar
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Seçiniz
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: Lab: Other:
Estimated Student Workload 185 hours per semester
Number of Credits 7.5 ECTS
Grading Mode Pass / Fail
Pre-requisites None
Expected Prior Knowledge None
Co-requisites None
Registration Restrictions Only Graduate Students
Overall Educational Objective Be able to formulate research and know the overall research process.
Course Description The aim of this course is to provide the students with a conceptual framework of the research process.
Course Description in Turkish Bu dersin amacı, öğrencilere araştırma sürecinin kavramsal çerçevesini sunmak ve öğrencilerin bu çerçeve kapsamın uygulama yapmalarını sağlamaktır.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Formulate a research question — organize their work related to any research (article, thesis, dissertation).
2) Design a research plan or program — formulate a research question, the aims, and objectives of the research.
3) Develop an appropriate design including methods for data collection and processing for the research.
4) Apply suitable sampling techniques, data collection, and data analysis methods.
5) Distinguish between quantitative and qualitative research.
6) Perform suitable sampling techniques, data collection, and data analysis methods
7) Assess the quality of the research and its results.
8) Present and deliver the research in different formats (presentation, poster, report, etc.).
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6 7 8
1) An ability to develop and deepen their knowledge in the field of Information Technologies at the level of expertise based on their undergraduate level qualifications.
2) An ability to apply scientific and practical knowledge in statistics, computing and computer science.
3) A Comprehensive knowledge of analysis and modeling methods and their limitations.
4) An ability to design and apply analytical, modeling and experimental H 2 based researches, analyzes and interprets complex situations encountered in this process.
5) An ability to transmit the process and results of the work of information systems systematically and clearly in written and oral form in national and international environments.
6) An understanding of data collection, processing, use, interpretation and social, scientific and ethical values in all professional and professional activities.
7) An ability to take a leadership position in multi-disciplinary teams, develop information-based solution approaches in complex situations and to take responsibility.
8) An understanding of the impact of engineering solutions in a global, economic, environmental, and societal context.
9) An ability to communicate verbally and in writing in English at least at the level of B2 of CEFR.
10) An understanding the social and environmental aspects of IT applications.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) An ability to develop and deepen their knowledge in the field of Information Technologies at the level of expertise based on their undergraduate level qualifications. N
2) An ability to apply scientific and practical knowledge in statistics, computing and computer science. N
3) A Comprehensive knowledge of analysis and modeling methods and their limitations. N
4) An ability to design and apply analytical, modeling and experimental H 2 based researches, analyzes and interprets complex situations encountered in this process. N
5) An ability to transmit the process and results of the work of information systems systematically and clearly in written and oral form in national and international environments. N
6) An understanding of data collection, processing, use, interpretation and social, scientific and ethical values in all professional and professional activities. N
7) An ability to take a leadership position in multi-disciplinary teams, develop information-based solution approaches in complex situations and to take responsibility. N
8) An understanding of the impact of engineering solutions in a global, economic, environmental, and societal context. N
9) An ability to communicate verbally and in writing in English at least at the level of B2 of CEFR. N
10) An understanding the social and environmental aspects of IT applications. N
Prepared by and Date ,
Course Coordinator TUNA ÇAKAR
Semester Spring
Name of Instructor Prof. Dr. İLKER BEKMEZCİ

Course Contents

Week Subject
1) ● Introduction ● Overview of the course, its objectives, and expectations. Introduction to the fundamental concepts of academic research.
2) ● Introduction to Research ● An exploration of what constitutes academic research, including different types of research and their importance in academia and beyond.
3) ● Research Methods and the Research Cycle ● Detailed discussion on various research methodologies (qualitative, quantitative, mixed methods) and the stages of the research cycle (planning, conducting, analyzing, and publishing).
4) ● Research Process – Independent Study ● Students begin their independent study on selected topics, focusing on identifying research questions and objectives.
5) ● Submission of Research Paper 1 - Written Analysis and Discussion ● First deadline for a written assignment. Students submit a paper analyzing a specific aspect of their research topic, including a discussion of preliminary findings.
6) ● Literature Review ● Techniques and strategies for conducting a comprehensive literature review, including how to source, evaluate, and synthesize relevant literature.
7) ● Research Process – Independent Study ● Continued independent study, with an emphasis on refining research methods and beginning data collection.
8) ● Submission of Research Paper 2 - Written Analysis and Discussion ● Second written assignment due. Students submit a paper detailing their research methodology and any initial results or insights gained.
9) ● Presentation ● Students prepare and deliver a presentation on their research progress, methodology, and preliminary findings to the class.
10) ● Research Process - Independent Study ● Further independent research, focusing on data collection and beginning data analysis.
11) ● Research Process - Independent Study ● Continued data analysis and beginning to draw conclusions from the research findings.
12) ● Proposal Presentation ● Presentation of research proposals, outlining the intended direction for the final stages of the research project.
13) ● Discussion of Proposals ● In-depth discussion and critique of research proposals, with feedback from instructors and peers.
14) ● Discussion of Thesis/Project ● Final class discussion focusing on the outcomes of the research projects, challenges encountered, and lessons learned. Students share their findings and discuss potential implications and future directions for research.
15) Final Examination Period
16) Final Examination Period
Required/Recommended ReadingsNone
Teaching MethodsFlipped classroom/Exercise/Laboratory/Active learning
Homework and ProjectsProjects and Presentation
Laboratory WorkStudents will apply the methods they learned using a statistical computation program.
Computer UseStudents will apply the methods they learned using a statistical computation program.
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Presentation 1 % 50
Project 2 % 50
TOTAL % 100
Course Administration cakart@mef.edu.tr
02123953600

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 2 2 1 70
Laboratory 14 2 2 1 70
Presentations / Seminar 1 12 2 1 15
Project 2 12 2 1 30
Total Workload 185
Total Workload/25 7.4
ECTS 7.5