School/Faculty/Institute Faculty of Economics, Administrative and Social Sciences
Course Code PSYC 381
Course Title in English Independent Study I
Course Title in Turkish Bağımsız Çalışma I
Language of Instruction EN
Type of Course Independent Studies,Project
Level of Course Advanced
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: 0 Lab: 0 Other: 0
Estimated Student Workload 138 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Co-requisites None
Expected Prior Knowledge None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To become familiar with the steps of scientific research projects conducted by the faculty members from different areas of psychology and to be able to integrate psychological research practice in those research projects.
Course Description This course is aimed to expand students’ skills in conducting and evaluating research in psychology. Students will engage in different steps of research projects including data collection, coding, or writing manuscripts together with the faculty member in a specific project. Students will also be able to critically evaluate empirical studies in psychology. At the end of the course students will write a formal research paper or present findings verbally.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) evaluate literature findings and scientific articles in area of interest in psychology;
2) engage in intense data coding process;
3) collect data (if needed);
4) evaluate the findings of research through the means of SPSS;
5) write or present research findings in an empirical format;
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
Prepared by and Date BANU FEMİR GÜRTUNA , March 2022
Course Coordinator BANU FEMİR GÜRTUNA
Semester Spring
Name of Instructor Asst. Prof. Dr. HİLAL ŞEN

Course Contents

Week Subject
1) Introduction of the project
2) Reading-1
3) Reading-2, Data Collection/Coding
4) Reading-3, Data Collection/Coding
5) Reading-4, Data Collection/Coding
6) Data Collection/Coding
7) Project Meeting, Data Collection/Coding
8) Data Collection/Coding
9) Data Collection/Coding
10) Reading about the research question, Data Collection/Coding
11) Reading about the research question, Data Collection/Coding
12) Data Analysis
13) Data Analysis
14) Presentations
15) Final Examination Period
16) Final Examination Period
Required/Recommended ReadingsCourse content and assessment methods are provided as a general guideline. Depending on the project needs, the content or assessment is subject to change.
Teaching MethodsFlipped learning
Homework and ProjectsLiterature search, Data collection, data coding, data analysis.
Laboratory WorkStudents will use the lab SPSS facilities to enter and analyse the data they have collected as well as to do literature review for their empirical paper.
Computer UseStudents will work with SPSS to enter and analyse the data they have collected as well as to do literature review for their empirical paper.
Other ActivitiesStudents will be asked to read each week’s articles prior to that week’s classroom session. Data collection or data coding process will also be discussed.
Assessment Methods
Assessment Tools Count Weight
Attendance 14 % 30
Homework Assignments 14 % 10
Presentation 1 % 20
Project 1 % 30
Paper Submission 1 % 10
TOTAL % 100
Course Administration senh@mef.edu.tr

Office Hour: TBA This is a joint course meaning that depending on the research projects one or more faculty members might work with independent study students under the same course. Students are expected to prepared for the class materials. Students are expected to treat university personnel and one another respectfully at all times; this includes showing respect for class content and for others’ opinions. The commitment of acts of cheating, lying, and deceit in any of their diverse forms such as plagiarism, and copying during examinations is dishonest and will not be tolerated. Academic dishonesty and plagiarism: YÖK Disciplinary Regulation.

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 3 2 98
Presentations / Seminar 1 10 10
Project 1 10 10
Homework Assignments 1 10 10
Paper Submission 1 10 10
Total Workload 138
Total Workload/25 5.5
ECTS 6