Health Administration
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: UNI327
Course Name: Data Analysis with R
Semester: Spring
Course Credits:
ECTS
5
Language of instruction: Turkish
Course Condition:
Does the Course Require Work Experience?: No
Type of course: University Elective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: E-Learning
Course Coordinator: Öğr. Gör. AYŞEGÜL ÇALIŞKAN İŞCAN
Course Lecturer(s): Dr. Ayşegül Çalışkan İşcan
Course Assistants:

Course Objective and Content

Course Objectives: This course aims to teach the R programming language at a basic level.
Course Content: This course includes basic elements of R programming languages.

Learning Outcomes

The students who have succeeded in this course;
1) Have knowledge about R programming language
2) Learns R programming language at a basic level.
3) Can analyze any data by using R language.
4) Can understand and manipulate any R code.
5) Can make statistical analysis by using R language.

Course Flow Plan

Week Subject Related Preparation
1) Course overview
2) R Arithmetic, Atomic Data Types
3) Variables, Vectors
4) Matrices
5) Lists, Data Frames
6) Factors, Reading and Writing Data
7) Exercises, Lesson Repetition
8) Mid-term Week
9) Control flow, functions
10) Exploring and Preparing Data
11) Working with text data
12) Preparing Numeric Data, Dealing with Dates
13) Merging data, Frequency tables
14) Plotting in Base R, plotting with ggplot2

Sources

Course Notes / Textbooks: 1. Mark Gardener - Beginning R_ The Statistical Programming Language-Wrox
2. Tony Fischetti - Data Analysis with R_ Load, wrangle, and analyze your data using the world's most powerful statistical programming language-Packt Publishing (2015)
References: 1. Mark Gardener - Beginning R_ The Statistical Programming Language-Wrox
2. Tony Fischetti - Data Analysis with R_ Load, wrangle, and analyze your data using the world's most powerful statistical programming language-Packt Publishing (2015)

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

4

5

Program Outcomes
1) They will have the theoretical and practical knowledge to comprehend, evaluate and direct the operation of the health systems and its subsystems.
2) They will have the knowledge of factors about society-individual health and its development.
3) They will apply the theoretical and practical knowledge of health management in related institutions and organizations.
4) They will analyze, evaluate the developments in health management by using scientfic methods and techniques and develop solutions.
5) They will follow the developments in the field by using a foreign language at least at the level of European Language Portfolio B1.
6) They will use health terminology and grammar according to the rules in spoken and written communication.
7) They will share their thoughts about health management and solution proposals with internal and external parties written and orally.
8) They will use information and communication technologies with computer software at least at the level of European Computer Driving License required by the field.
9) They will constantly develop professional knowledge and skill; know ways to access information and apply them.
10) They will show mangement philosophy and management functions in health management applications.
11) They will behave sensitve to health problems in the country and around the world with sociak responsibility and sustainability and they will evaluate solution suggestions to maximize social benefits.
12) They will act in accordance with legal regulations in the field of health management and with social, scientific and professional ethical principles.
13) They will show leadership characteristics in health management applications.
14) They will take responsibility individually and as a team member in health management applications.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) They will have the theoretical and practical knowledge to comprehend, evaluate and direct the operation of the health systems and its subsystems.
2) They will have the knowledge of factors about society-individual health and its development.
3) They will apply the theoretical and practical knowledge of health management in related institutions and organizations.
4) They will analyze, evaluate the developments in health management by using scientfic methods and techniques and develop solutions.
5) They will follow the developments in the field by using a foreign language at least at the level of European Language Portfolio B1.
6) They will use health terminology and grammar according to the rules in spoken and written communication.
7) They will share their thoughts about health management and solution proposals with internal and external parties written and orally.
8) They will use information and communication technologies with computer software at least at the level of European Computer Driving License required by the field.
9) They will constantly develop professional knowledge and skill; know ways to access information and apply them.
10) They will show mangement philosophy and management functions in health management applications.
11) They will behave sensitve to health problems in the country and around the world with sociak responsibility and sustainability and they will evaluate solution suggestions to maximize social benefits.
12) They will act in accordance with legal regulations in the field of health management and with social, scientific and professional ethical principles.
13) They will show leadership characteristics in health management applications.
14) They will take responsibility individually and as a team member in health management applications.

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Application 13 % 20
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 15 45
Study Hours Out of Class 16 16
Project 1 8
Midterms 1 1
Total Workload 70