| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 7 | POLS483 | DATA PROCESSING 2 | 3+0+0 | 3 | 5 |
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Language of Instruction
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English
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Level of Course Unit
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Bachelor's Degree
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Department / Program
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POLITICAL SCIENCE AND INTERNATIONAL RELATIONS
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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The aim of this course is to teach advanced data processing and analysis techniques in the social sciences. Students will learn to conduct quantitative data analyses using statistical software, interpret the results, and apply them to their own research.
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Course Content
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Nvivo is an important program for qualitative analysis used in the education
sector, non-governmental organizations and many research companies. In this
course, the basic functions of the program will be taught. The course is
designed in a way that the students who are designed for the application will
be able to make practical question solutions on the subject of the day together
with their instructors via computer.
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Course Methods and Techniques
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Computer lab sessions
Applied data analysis exercises
Group work and project-based learning
Software-based problem-solving
Written and oral assignments
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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None
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
ECTS Allocated Based on Student Workload
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
|
1
| Use data analysis tools at an advanced level |
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2
| Analyze and interpret complex datasets |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Week 1: Introduction to the Course and Review of Basic Statistical Concepts
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|
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Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=72759&lang=en