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| TBB5073 | Introduction to Statistical Programming R | 2+1+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Second Cycle | | Status | Compulsory | | Department | DEPARTMENT of BIOSTATISTICS and MEDICAL INFORMATICS | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 2 hours of lectures and 1 hour of practicals per week | | Lecturer | Doç. Dr. Burçin KURT | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Generating basic R programming skills for biostatistics and bioinformatics studies. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | To define the characteristics of the R programming language | | 1,3 | | PO - 2 : | Ability to use different types of data, | | 1,3 | | PO - 3 : | To create functions for statistical methods | | 1,3 | | PO - 4 : | To do basic statistical analysis using R functions | | 1,3 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| R setup, R objects, data processing, graphics, functions, R programming, R statistical applications. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | R environment, the installation of the software, the use of help | | | Week 2 | Calculating R, operators and their use | | | Week 3 | Data types; vectors, matrices | | | Week 4 | Arrays, lists, and data frame | | | Week 5 | Control and loop structures | | | Week 6 | Functions and creating functions | | | Week 7 | Mid-term examination | | | Week 8 | Functions and creating functions | | | Week 9 | Using statistical functions in R | | | Week 10 | Using statistical functions in R | | | Week 11 | Probability distributions, the derivation of random variables | | | Week 12 | Data visualization and graphics | | | Week 13 | Data input and output with R | | | Week 14 | Using R packages | | | Week 15 | Sample applications | | | Week 16 | Final examination | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | In-term studies (second mid-term exam) | 7 | | | 20 | | Quiz | 7 | | 1 | 30 | | Homework/Assignment/Term-paper | 16 | | | 10 | | End-of-term exam | 16 | | 2 | 40 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 5 | 14 | 70 | | Arasınav için hazırlık | 2 | 6 | 12 | | Arasınav | 2 | 1 | 2 | | Ödev | 3 | 14 | 42 | | Dönem sonu sınavı için hazırlık | 2 | 16 | 32 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 202 |
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