ETP019 Data LiteracyIstinye UniversityDegree Programs E-Commerce and MarketingGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
E-Commerce and Marketing

Preview

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:
ECTS
3
Language of instruction: Turkish
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Departmental Elective
Course Level:
Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator: Dr. Öğr. Üy. GÖZDE KANDEMİR ÇOMOĞLU
Course Lecturer(s): STAFF
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

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
15)

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) Has basic knowledge of areas such as business, marketing, finance, management and organization.
2) Has knowledge of e-commerce systems, digital marketing methods and digital sales processes.
3) Has knowledge of consumer behavior, brand management, and customer relationship management (CRM).
4) Has basic knowledge of web design, content management systems (CMS), search engine optimization (SEO) and digital performance analysis.
5) Has knowledge about e-commerce legislation, digital security, personal data protection and consumer rights.
6) Has knowledge about e-commerce legislation, digital security, personal data protection and consumer rights.
7) Has knowledge about e-commerce legislation, digital security, personal data protection and consumer rights.
8) Can use social media management, email marketing, digital advertising (Google Ads, Meta Ads, etc.) tools.
9) Can set up an e-commerce site, manage content and integrate online payment systems.
10) Can use basic web tools and data analysis platforms.
11) Able to conduct market research, analyze customer data and reflect the results in decision-making processes
12) Can manage business processes in accordance with legislation; organize order, delivery, return and customer service processes.
13) Can run e-commerce processes independently and take on leadership when necessary.
14) Takes initiative in business processes and fulfills his/her responsibilities effectively.
15) It follows the developments in digital technologies and constantly renews itself.
16) Is open to lifelong learning and adapts to sectoral innovations.
17) Works effectively within a team and communicates clearly and effectively.
18) Has the ability to communicate professionally with customers and business partners.
19) Acts in accordance with ethical values, professional responsibilities and legal regulations.
20) Develops innovative solutions in the field of e-commerce using entrepreneurial skills.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Has basic knowledge of areas such as business, marketing, finance, management and organization.
2) Has knowledge of e-commerce systems, digital marketing methods and digital sales processes.
3) Has knowledge of consumer behavior, brand management, and customer relationship management (CRM).
4) Has basic knowledge of web design, content management systems (CMS), search engine optimization (SEO) and digital performance analysis.
5) Has knowledge about e-commerce legislation, digital security, personal data protection and consumer rights.
6) Has knowledge about e-commerce legislation, digital security, personal data protection and consumer rights.
7) Has knowledge about e-commerce legislation, digital security, personal data protection and consumer rights.
8) Can use social media management, email marketing, digital advertising (Google Ads, Meta Ads, etc.) tools.
9) Can set up an e-commerce site, manage content and integrate online payment systems.
10) Can use basic web tools and data analysis platforms.
11) Able to conduct market research, analyze customer data and reflect the results in decision-making processes
12) Can manage business processes in accordance with legislation; organize order, delivery, return and customer service processes.
13) Can run e-commerce processes independently and take on leadership when necessary.
14) Takes initiative in business processes and fulfills his/her responsibilities effectively.
15) It follows the developments in digital technologies and constantly renews itself.
16) Is open to lifelong learning and adapts to sectoral innovations.
17) Works effectively within a team and communicates clearly and effectively.
18) Has the ability to communicate professionally with customers and business partners.
19) Acts in accordance with ethical values, professional responsibilities and legal regulations.
20) Develops innovative solutions in the field of e-commerce using entrepreneurial skills.

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 Workload
Course Hours 14 42
Midterms 1 3
Final 1 3
Total Workload 48