ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| E-commerce and Marketing (Evening Education) | |||||
| Associate | TR-NQF-HE: Level 5 | QF-EHEA: Short Cycle | EQF-LLL: Level 5 | ||
Course Introduction and Application Information
| Course Code: | ETP208 | ||||
| Course Name: | Digital Performance Analysis and Measurement | ||||
| Semester: | Spring | ||||
| Course Credits: |
|
||||
| Language of instruction: | Turkish | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Compulsory Courses | ||||
| Course Level: |
|
||||
| Mode of Delivery: | Face to face | ||||
| Course Coordinator: | Dr. Öğr. Üy. GÖZDE KANDEMİR ÇOMOĞLU | ||||
| Course Lecturer(s): |
Dr. Öğr. Üy. GÖZDE KANDEMİR ÇOMOĞLU |
||||
| Course Assistants: |
Course Objective and Content
| Course Objectives: | Digital measurement and performance lesson aims to teach, report and interpret the tools to be used in the measurement area of a website. For this purpose, Google Analytics and Google Tag Manager Tools will be used. |
| Course Content: | Google Analytics panel, reports, debug, Google tag manager applications |
Learning Outcomes
|
The students who have succeeded in this course;
1) Having knowledge about data literacy and data management and being able to apply it 2) Interpreting Google Analytics Reports 3) Learning About Google Analytics Interaction Metrics 4) Learning About Google Tag Manager |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Course introduction | - |
| 2) | How is measurement done? Measuring tools | |
| 3) | Introduction to Google Analytics's panel | |
| 4) | Google Analytics Reports-1 | |
| 5) | Google Analytics Reports-2 | |
| 6) | Google Analytics Applications-1 | |
| 7) | Google Analytics Applications-2 | |
| 8) | Midterm | |
| 9) | Google Tag Manager | |
| 10) | Google Tag Manager Applications-1 | |
| 11) | Google Tag Manager Applications-2 | |
| 12) | Google Data Studio Report Preparation | |
| 13) | Student Projects | |
| 14) | Student Projects |
Sources
| Course Notes / Textbooks: | Google Analytics- Oreilly |
| References: | Google Analytics- Oreilly |
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 | ||||
| 1) Having detailed technical and professional application skills in subjects such as mobile marketing, digital media marketing, social media usage, digital analysis and measurement. | ||||
| 2) Having the ability to catch up with the speed of the digital age and keep their information up to date | ||||
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 | |
| 1) | Having detailed technical and professional application skills in subjects such as mobile marketing, digital media marketing, social media usage, digital analysis and measurement. | |
| 2) | Having the ability to catch up with the speed of the digital age and keep their information up to date |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 1 | % 10 |
| Special Course Internship (Work Placement) | 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 | 3 | 42 | ||||
| Laboratory | 14 | 1 | 14 | ||||
| Application | 15 | 3 | 45 | ||||
| Homework Assignments | 4 | 5 | 20 | ||||
| Midterms | 1 | 2 | 2 | ||||
| Final | 1 | 2 | 2 | ||||
| Total Workload | 125 | ||||||