Psychology Preview
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:

Fall

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

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) Have the theoretical knowledge in major sub areas of psychology.
2) Apply psychological consepts and theories in a variety of applied settings
3) Identify and explain the cognitive, emotional and behavioral processes of human.
4) Evaluate evidence and assumptions in a scientific and critical view.
5) Collect and analyze the research data and report the findings in accordance to ethical publication rules.
6) Develop and utilize measurement tools for psychological phenomena.
7) Have the skills and abilities to follow advances in psyhology and other related sciences.
8) Have the skills and abilities to work effectively on individual and group based.
9) Have the skills and abilities to communicate in a clear and effective manner in national and international settings.
10) Behave in accordance to the professional code of ethics applied to psychology.
11) Be unprejudiced and equal to various identity groups based on such as age, gender, language, race, religion and social class in scientific and professional acitivities.
12) Have enhanced awareness of universal values as well as human and animal rights.
13) Master a foreign language at least B1 level of European Language Portfolio.
14) Master the computer softwares within information and communication technologies at least European computer driving licence.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Have the theoretical knowledge in major sub areas of psychology.
2)	Apply psychological consepts and theories in a variety of applied settings
3)	Identify and explain the cognitive, emotional and behavioral processes of human.
4)	Evaluate evidence and assumptions in a scientific and critical view.
5)	Collect and analyze the research data and report the findings in accordance to ethical publication rules.
6)	Develop and utilize measurement tools for psychological phenomena.
7)	Have the skills and abilities to follow advances in psyhology and other related sciences.
8)	Have the skills and abilities to work effectively on individual and group based.
9)	Have the skills and abilities to communicate in a clear and effective manner in national and international settings.
10)	Behave in accordance to the professional code of ethics applied to psychology.
11)	Be unprejudiced and equal to various identity groups based on such as age, gender, language, race, religion and social class in scientific and professional acitivities.
12)	Have enhanced awareness of universal values as well as human and animal rights.
13)	Master a foreign language at least B1 level of European Language Portfolio.
14)	Master the computer softwares within information and communication technologies at least European computer driving licence.

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