UNI327 Data Analysis with RIstinye UniversityDegree Programs Turkish Language and LiteratureGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Turkish Language and Literature

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: Spring
Fall
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) Knows grammatical features of Turkish language.
2) Have knowledge of examining the properties of Turkish within the framework of universal linguistics rules.
3) Establishes the relationship between language and literature, active writing and interpretation activities.
4) Uses computer software, and information and communication technologies at least at the European Computer Driving License Basic Level.
5) Uses Turkish in terms of intonation and emphasis aesthetically; writes accurate, comprehensible, effective articles in terms of spelling and punctuation.
6) Knows and uses the current information and resources in the field.
7) Understands the historical and modern Turkish texts written with different alphabets, transmits them to modern Turkish.
8) Uses the knowledge and skills acquired in the field of Turkish language and literature in other fields of social sciences.
9) Have knowledge of analyzing and evaluating literary works belonging to classical and modern periods with comparative methods.
10) Examine and evaluate the Turkish works in the social and cultural context.
11) Uses a foreign language at B1 General Level at least in terms of European Language Portfolio criteria.
12) Makes interpretation, commentary, interpretation, analysis and analysis by using traditional methods used in understanding, explaining and interpreting the old Turkish literature texts.
13) Uses philological, etymological and semantic approaches to understanding texts.
14) Respects social, cultural and individual differences, universal values ​​and human rights in scientific and professional activities.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Knows grammatical features of Turkish language.
2) Have knowledge of examining the properties of Turkish within the framework of universal linguistics rules.
3) Establishes the relationship between language and literature, active writing and interpretation activities.
4) Uses computer software, and information and communication technologies at least at the European Computer Driving License Basic Level.
5) Uses Turkish in terms of intonation and emphasis aesthetically; writes accurate, comprehensible, effective articles in terms of spelling and punctuation.
6) Knows and uses the current information and resources in the field.
7) Understands the historical and modern Turkish texts written with different alphabets, transmits them to modern Turkish.
8) Uses the knowledge and skills acquired in the field of Turkish language and literature in other fields of social sciences.
9) Have knowledge of analyzing and evaluating literary works belonging to classical and modern periods with comparative methods.
10) Examine and evaluate the Turkish works in the social and cultural context.
11) Uses a foreign language at B1 General Level at least in terms of European Language Portfolio criteria.
12) Makes interpretation, commentary, interpretation, analysis and analysis by using traditional methods used in understanding, explaining and interpreting the old Turkish literature texts.
13) Uses philological, etymological and semantic approaches to understanding texts.
14) Respects social, cultural and individual differences, universal values ​​and human rights in scientific and professional activities.

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