| Course Type | Elective Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 4 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Explains the basic features of scientific knowledge, production processes and validity criteria.
- Evaluates different sources of information from a critical point of view.
- Recognize data collection methods and plan appropriate data collection processes.
- Interpret qualitative and quantitative data numerically and graphically using basic statistical concepts.
- Question the information encountered in daily life and make informed decisions based on data.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | No |
|---|
| Course Description | Development of scientific thinking skills, critical approach to data-based information, structure of scientific knowledge, production processes and validity criteria, evaluation, interpretation and use of information obtained from different sources, basic statistical concepts, data collection methods, graphical and numerical interpretation of data. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction to Science and Data Literacy |
|
2nd Week |
Scientific Knowledge |
|
3rd Week |
Scientific Thinking and Critical Approach |
|
4th Week |
Evaluating Information Sources |
|
5th Week |
Scientific Debates and the Evolution of Knowledge |
|
6th Week |
What is Data? Basic Concepts |
|
7th Week |
Data Collection Processes and Ethics |
|
8th Week |
Midterm Exam |
|
9th Week |
Databases |
|
10th Week |
Big Data, Open Data and Current Data Sources |
|
11th Week |
Data Analysis: Qualitative |
|
12th Week |
Data Analysis: Quantitative |
|
13th Week |
Application |
|
14th Week |
Application |
|
15th Week |
General Evaluation |
|
| Recommended or Required Reading | Gelbal, S. (2025). İstatistik: Veri Analizi Yöntemleri, Pegem Akademi, Ankara.
Shields, M. (2005). Information literacy, statistical literacy, data literacy. IASSIST quarterly, 28(2-3), 6-6. |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Questions/Answers
- Presentation
- Other
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
1 |
30 |
| Total(%) |
|
60 |
| Contribution of In-term Studies to Overall Grade(%) |
|
60 |
| Contribution of Final Examination to Overall Grade(%) |
|
40 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
10 |
3 |
30 |
| Preparation for Final exam |
1 |
25 |
25 |
| Course hours |
13 |
2 |
26 |
| Preparation for Midterm exam |
1 |
15 |
15 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
1 |
20 |
20 |
| Total Work Load | 120 |
| Total Work Load / 30 (h) | 4 |
| ECTS Credit of the Course | 4 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
