ETP019 Data LiteracyIstinye UniversityDegree Programs General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications

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:
Array TR-NQF-HE:Array. Master`s Degree QF-EHEA:Array EQF-LLL:Array. 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

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution

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