Culinary Arts
Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

Course Introduction and Application Information

Course Code: UNI327
Course Name: Data Analysis with R
Semester: Fall
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:
Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. 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) Define / explain general concepts in culinary profession.
2) Define and explain the internal and external environment relations in which food and beverage businesses are affected.
3) Have knowledge about regulations, professional standards and practices in the field of culinary.
4) Have knowledge and methods on various subjects such as menu planning, cooking methods, world cuisines, regional cuisines and use these knowledge and methods for professional development.
5) Dominates the terminology of food and beverage.
6) Organize all kinds of organizations in the field of culinary.
7) Analyzes and applies the facts about eating and drinking by using the basic concepts and theories of the culinary profession.
8) Takes responsibility as an individual or a team member in the execution of unforeseen and complex activities encountered in the field related applications.
9) Takes risk and responsibility for the realization of information, ideas, applications or technologies that bring innovation to the field.
10) Evaluates the advanced knowledge and skills acquired in the field with a critical approach.
11) Follow current developments in the field and profession.
12) Shares ideas and solutions to problems related to the field by supporting them with qualitative and quantitative data with experts and non-experts.
13) Uses computer software and information technologies at the basic level of at least European computer use license required by the field.
14) Follow the developments in his / her field and communicate with his / her colleagues by using a foreign language (English) at least at the European Language Portfolio B1 General Level.
15) Comply with the social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the data related to the field.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Define / explain general concepts in culinary profession.
2) Define and explain the internal and external environment relations in which food and beverage businesses are affected.
3) Have knowledge about regulations, professional standards and practices in the field of culinary.
4) Have knowledge and methods on various subjects such as menu planning, cooking methods, world cuisines, regional cuisines and use these knowledge and methods for professional development.
5) Dominates the terminology of food and beverage.
6) Organize all kinds of organizations in the field of culinary.
7) Analyzes and applies the facts about eating and drinking by using the basic concepts and theories of the culinary profession.
8) Takes responsibility as an individual or a team member in the execution of unforeseen and complex activities encountered in the field related applications.
9) Takes risk and responsibility for the realization of information, ideas, applications or technologies that bring innovation to the field.
10) Evaluates the advanced knowledge and skills acquired in the field with a critical approach.
11) Follow current developments in the field and profession.
12) Shares ideas and solutions to problems related to the field by supporting them with qualitative and quantitative data with experts and non-experts.
13) Uses computer software and information technologies at the basic level of at least European computer use license required by the field.
14) Follow the developments in his / her field and communicate with his / her colleagues by using a foreign language (English) at least at the European Language Portfolio B1 General Level.
15) Comply with the social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the data related to the field.

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