ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| E-Commerce and Marketing | |||||
| Associate | TR-NQF-HE: Level 5 | QF-EHEA: Short Cycle | EQF-LLL: Level 5 | ||
Course Introduction and Application Information
| Course Code: | ETP019 | ||||
| Course Name: | Data Literacy | ||||
| Semester: | Spring | ||||
| Course Credits: |
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| Language of instruction: | Turkish | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Departmental Elective | ||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Dr. Öğr. Üy. GÖZDE KANDEMİR ÇOMOĞLU | ||||
| Course Lecturer(s): | |||||
| Course Assistants: |
Course Objective and Content
| Course Objectives: | This lesson aims to improve students' professional data literacy skills by enabling them to access more precise and shorter data in their fields. |
| Course Content: | Fundamentals of research Data Structures Data Acquisition Costs Statistical learning approaches Identifying Data Sources |
Learning Outcomes
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The students who have succeeded in this course;
1) Ability to Evaluate Data Source 2) Ability to understand problems and produce solutions for analysis 3) Gain the ability to understand, interpret and combine different data sources 4) Ability to extract meaningful information from data analysis |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Fundamentals of Scientific Research | |
| 2) | Examination of data structures | |
| 3) | Data Sources | |
| 4) | Data Acquisition Costs | |
| 5) | Types of Data Visualization | |
| 6) | Making Stories with Data | |
| 7) | Data Charts Tools | |
| 8) | Midterm | |
| 9) | Exploratory Statistics | |
| 10) | Statistical Learning Approaches | |
| 11) | Basic design patterns | |
| 12) | Data Storage Systems | |
| 13) | Case Study | |
| 14) | Case Study |
Sources
| Course Notes / Textbooks: | Örnek Etkinliklerle Eğitimde Veri Okuryazarlığının Geliştirilmesi- Kolektif |
| References: | Örnek Etkinliklerle Eğitimde Veri Okuryazarlığının Geliştirilmesi- Kolektif |
Course - Program Learning Outcome Relationship
| Course Learning Outcomes | 1 |
2 |
3 |
4 |
|---|---|---|---|---|
| Program Outcomes | ||||
| 1) To have the ability to understand and apply basic concepts in the field of e-commerce and marketing | 2 | 3 | 1 | 3 |
| 2) Having the ability to catch up with the speed of the digital age and keep their information up to date | 2 | 3 | 2 | 2 |
| 3) Having detailed technical and professional application skills in subjects such as mobile marketing, digital media marketing, social media usage, digital analysis and measurement. | 2 | 2 | 3 | 2 |
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | To have the ability to understand and apply basic concepts in the field of e-commerce and marketing | 2 |
| 2) | Having the ability to catch up with the speed of the digital age and keep their information up to date | 2 |
| 3) | Having detailed technical and professional application skills in subjects such as mobile marketing, digital media marketing, social media usage, digital analysis and measurement. | 3 |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 1 | % 10 |
| Homework Assignments | 1 | % 10 |
| Midterms | 1 | % 30 |
| Final | 1 | % 50 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 50 | |
| PERCENTAGE OF FINAL WORK | % 50 | |
| total | % 100 | |
Workload and ECTS Credit Calculation
| Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
| Course Hours | 14 | 2 | 28 | ||||
| Laboratory | 14 | 1 | 14 | ||||
| Presentations / Seminar | 3 | 5 | 15 | ||||
| Project | 1 | 4 | 4 | ||||
| Homework Assignments | 2 | 5 | 10 | ||||
| Midterms | 1 | 2 | 2 | ||||
| Final | 1 | 2 | 2 | ||||
| Total Workload | 75 | ||||||