UNI280 Data Analysis with R Istinye UniversityDegree Programs English Language and Literature (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
English Language and Literature (English)

Preview

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

Course Introduction and Application Information

Course Code: UNI280
Course Name: Data Analysis with R 
Semester: Fall
Course Credits:
ECTS
5
Language of instruction: English
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

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2

3

4

5

Program Outcomes
1) Uses academic English language skills effectively.
2) Knows the historical and cultural foundations of English Language and its developmental periods in detail.
3) Knows the periods of English Literature in detail with its cultural and historical features.
4) Evaluates the basic literary genres such as fiction (novel, story), theater and poetry according to their characteristics.
5) Can apply various analytical concepts and tools in literary theory to literary examples.
6) Comprehends the modern language and linguistic theories in a comprehensive way.
7) Can evaluate the important literary figures and works in American and world literature together with their cultural and historical features.
8) Evaluates the history of world civilization from the cultural and historical perspective.
9) To be able to translate English to Turkish and Turkish to English in different text types.
10) Apply contemporary teaching methods and techniques related to teaching English as a foreign language.
11) Develops course materials related to teaching English as a foreign language.
12) Uses a second foreign language at B1 General Level at least according to the European Language Portfolio criterion.
13) Uses information and communication technologies together with computer software at the basic level of European Computer Driving License.
14) Applies basic research methods and theories of social sciences.
15) Takes responsibilities by adopting fundamental universal values and developing a prudent, respectful, open to communication and learning attitude towards different language, race, gender, religion and social class groups.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Uses academic English language skills effectively.
2) Knows the historical and cultural foundations of English Language and its developmental periods in detail.
3) Knows the periods of English Literature in detail with its cultural and historical features.
4) Evaluates the basic literary genres such as fiction (novel, story), theater and poetry according to their characteristics.
5) Can apply various analytical concepts and tools in literary theory to literary examples.
6) Comprehends the modern language and linguistic theories in a comprehensive way.
7) Can evaluate the important literary figures and works in American and world literature together with their cultural and historical features.
8) Evaluates the history of world civilization from the cultural and historical perspective.
9) To be able to translate English to Turkish and Turkish to English in different text types.
10) Apply contemporary teaching methods and techniques related to teaching English as a foreign language.
11) Develops course materials related to teaching English as a foreign language.
12) Uses a second foreign language at B1 General Level at least according to the European Language Portfolio criterion.
13) Uses information and communication technologies together with computer software at the basic level of European Computer Driving License.
14) Applies basic research methods and theories of social sciences.
15) Takes responsibilities by adopting fundamental universal values and developing a prudent, respectful, open to communication and learning attitude towards different language, race, gender, religion and social class groups.

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 Preparation for the Activity Spent for the Activity Itself Completing the Activity Requirements Workload
Course Hours 13 1 3 1 65
Homework Assignments 13 1 1 26
Midterms 1 14 1 1 16
Final 1 28 1 1 30
Total Workload 137