| Economics (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: | Spring | ||||
| 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. |
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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 |
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| Program Outcomes | |||||||||||||
| 1) They have a broad and interdisciplinary perspective on economics using other social sciences and mathematics. | |||||||||||||
| 2) They have knowledge and skill about different functions and interactions of economy. | |||||||||||||
| 3) They use different theoretical approaches to comprehend and solve various economic problems. | |||||||||||||
| 4) They are aware of the needs of society and use their knowledge of economics to meet these needs. | |||||||||||||
| 5) They have in-depth knowledge on the current issues of the Turkish economy and the global economy. | |||||||||||||
| 6) They have in-depth knowledge on the history of the Turkish economy and basic level knowledge on the history of the global economy. | |||||||||||||
| 7) Using various statistical techniques and numerical methods, they establish correct economic models and make analyzes by using statistical programs effectively. | |||||||||||||
| 8) They use a foreign language at least at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | |||||||||||||
| 9) They improve their skills of teamwork, negotiation, leadership and entrepreneurship. | |||||||||||||
| 10) They have universal ethical values, social responsibility awareness and adequate knowledge of business law. | |||||||||||||
| 11) Being able to develop positive attitudes with regards to lifelong learning, they identify their individual learning needs and carry out studies to fulfil them. | |||||||||||||
| 12) They express their ideas and solution proposals concerning their field both written and orally, and present and publish them on both national and international platforms. | |||||||||||||
| 13) They use information and communication technologies together with a computer software required by the field at least at advanced level of European Computer Driving License . | |||||||||||||
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | They have a broad and interdisciplinary perspective on economics using other social sciences and mathematics. | |
| 2) | They have knowledge and skill about different functions and interactions of economy. | |
| 3) | They use different theoretical approaches to comprehend and solve various economic problems. | |
| 4) | They are aware of the needs of society and use their knowledge of economics to meet these needs. | |
| 5) | They have in-depth knowledge on the current issues of the Turkish economy and the global economy. | |
| 6) | They have in-depth knowledge on the history of the Turkish economy and basic level knowledge on the history of the global economy. | |
| 7) | Using various statistical techniques and numerical methods, they establish correct economic models and make analyzes by using statistical programs effectively. | |
| 8) | They use a foreign language at least at the B1 General Level in terms of European Language Portfolio criteria according to the level of education. | |
| 9) | They improve their skills of teamwork, negotiation, leadership and entrepreneurship. | |
| 10) | They have universal ethical values, social responsibility awareness and adequate knowledge of business law. | |
| 11) | Being able to develop positive attitudes with regards to lifelong learning, they identify their individual learning needs and carry out studies to fulfil them. | |
| 12) | They express their ideas and solution proposals concerning their field both written and orally, and present and publish them on both national and international platforms. | |
| 13) | They use information and communication technologies together with a computer software required by the field at least at advanced level of European Computer Driving License . |
| 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 | ||||||