Gastronomy And Culinary Arts (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | UNI280 | ||||
Course Name: | Data Analysis with R | ||||
Semester: |
Fall Spring |
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Course Credits: |
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Language of instruction: | English | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | University Elective | ||||
Course Level: |
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Mode of Delivery: | E-Learning | ||||
Course Coordinator: | Öğr. Gör. AYŞEGÜL ÇALIŞKAN İŞCAN | ||||
Course Lecturer(s): | Dr. Ayşegül Çalışkan İşcan | ||||
Course Assistants: |
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. |
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. |
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 |
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 Learning Outcomes | 1 |
2 |
3 |
4 |
5 |
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Program Outcomes | |||||
1) - To have advanced theoretical and practical knowledge supported by textbooks, application tools and other resources containing current information in the field. | |||||
2) - To be able to use advanced theoretical and practical knowledge acquired in the field. - To be able to interpret and evaluate data using advanced knowledge and skills acquired in the field, to be able to identify and analyse problems, to be able to develop solutions based on research and evidence. | |||||
3) - To be able to carry out an advanced level study related to the field independently. - To be able to take responsibility individually and as a team member to solve complex and unforeseen problems encountered in applications related to the field. - To be able to plan and manage activities for the development of employees under his/her responsibility within the framework of a project. | |||||
4) - To be able to evaluate the advanced knowledge and skills acquired in the field with a critical approach, - To be able to determine their learning needs and to be able to direct their learning. -To be able to develop a positive attitude towards lifelong learning. | |||||
5) - Alanı ile ilgili konularda ilgili kişi ve kurumları bilgilendirebilme; düşüncelerini ve sorunlara ilişkin çözüm önerilerini yazılı ve sözlü olarak aktarabilme. - Alanı ile ilgili konularda düşüncelerini ve sorunlara ilişkin çözüm önerilerini nicel ve nitel verilerle destekleyerek uzman olan ve olmayan kişilerle paylaşabilme. -Toplumsal sorumluluk bilinci ile yaşadığı sosyal çevre için proje ve etkinlikler düzenleyebilme ve bunları uygulayabilme. - Bir yabancı dili en az Avrupa Dil Portföyü B1 Genel Düzeyi'nde kullanarak alanındaki bilgileri izleyebilme ve meslektaşları ile iletişim kurabilme. - Alanının gerektirdiği en az Avrupa Bilgisayar Kullanma Lisansı İleri Düzeyinde bilgisayar yazılımı ile birlikte bilişim ve iletişim teknolojilerini kullanabilme. |
No Effect | 1 Lowest | 2 Average | 3 Highest |
Program Outcomes | Level of Contribution | |
1) | - To have advanced theoretical and practical knowledge supported by textbooks, application tools and other resources containing current information in the field. | 3 |
2) | - To be able to use advanced theoretical and practical knowledge acquired in the field. - To be able to interpret and evaluate data using advanced knowledge and skills acquired in the field, to be able to identify and analyse problems, to be able to develop solutions based on research and evidence. | 3 |
3) | - To be able to carry out an advanced level study related to the field independently. - To be able to take responsibility individually and as a team member to solve complex and unforeseen problems encountered in applications related to the field. - To be able to plan and manage activities for the development of employees under his/her responsibility within the framework of a project. | 3 |
4) | - To be able to evaluate the advanced knowledge and skills acquired in the field with a critical approach, - To be able to determine their learning needs and to be able to direct their learning. -To be able to develop a positive attitude towards lifelong learning. | 3 |
5) | - Alanı ile ilgili konularda ilgili kişi ve kurumları bilgilendirebilme; düşüncelerini ve sorunlara ilişkin çözüm önerilerini yazılı ve sözlü olarak aktarabilme. - Alanı ile ilgili konularda düşüncelerini ve sorunlara ilişkin çözüm önerilerini nicel ve nitel verilerle destekleyerek uzman olan ve olmayan kişilerle paylaşabilme. -Toplumsal sorumluluk bilinci ile yaşadığı sosyal çevre için proje ve etkinlikler düzenleyebilme ve bunları uygulayabilme. - Bir yabancı dili en az Avrupa Dil Portföyü B1 Genel Düzeyi'nde kullanarak alanındaki bilgileri izleyebilme ve meslektaşları ile iletişim kurabilme. - Alanının gerektirdiği en az Avrupa Bilgisayar Kullanma Lisansı İleri Düzeyinde bilgisayar yazılımı ile birlikte bilişim ve iletişim teknolojilerini kullanabilme. | 3 |
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 |
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 |