Chemistry (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

Language of instruction:

English

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) Knows the basic concepts related to the theory and applications of chemistry, uses theoretical and applied knowledge, can select, develop and design methods.
2) Makes experimental planning and application for analysis, synthesis, separation and purification methods, provide solutions to the problems encountered and interpret the results.
3) Expresses the basic principles of sample preparation techniques and instrumental analysis methods used in qualitative and quantitative analysis of items, discusses their application areas.
4) Has knowledge about the sources, production, industrial applications and technologies of chemical substances.
5) Makes structural analyzes of chemical substances and interprets the results.
6) Work individually and in multidisciplinary groups, take responsibility, plan their tasks and use time effectively.
7) Follows the information in the field and communicates with colleagues by using English at a professional level.
8) Uses information and communication technologies along with computer software at the level required by the field.
9) Follows the national and international chemistry literature, transfers the knowledge gained orally or in writing.
10) Determines self-learning needs, manages/directs his/her learning.
11) Takes responsibility and adheres to the ethical values required by these responsibilities.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Knows the basic concepts related to the theory and applications of chemistry, uses theoretical and applied knowledge, can select, develop and design methods.
2)	Makes experimental planning and application for analysis, synthesis, separation and purification methods, provide solutions to the problems encountered and interpret the results.
3)	Expresses the basic principles of sample preparation techniques and instrumental analysis methods used in qualitative and quantitative analysis of items, discusses their application areas.
4)	Has knowledge about the sources, production, industrial applications and technologies of chemical substances.
5)	Makes structural analyzes of chemical substances and interprets the results.
6)	Work individually and in multidisciplinary groups, take responsibility, plan their tasks and use time effectively.
7)	Follows the information in the field and communicates with colleagues by using English at a professional level.
8)	Uses information and communication technologies along with computer software at the level required by the field.
9)	Follows the national and international chemistry literature, transfers the knowledge gained orally or in writing.
10)	Determines self-learning needs, manages/directs his/her learning.
11)	Takes responsibility and adheres to the ethical values required by these responsibilities.

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