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| TBB5062 | Statistical Computing | 1+2+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of BIOSTATISTICS and MEDICAL INFORMATICS | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 1 hour of lectures and 2 hours of practicals per week | | Lecturer | -- | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Introduction to statistics on computers and simple statistics theories information. Using statistica software simply and developing basic implementation. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | be aware the information about Introduction to statistics on computers. | 1,9 | 1,6 | | PO - 2 : | construct hypothesises, design experiments and collect data. | 1,9 | 1,6 | | PO - 3 : | learn statistical softwares | 1,9 | 1,6 | | PO - 4 : | design complex research designs. | 1,9 | 1,6 | | PO - 5 : | test hypothesises using different statistical methods. | 1,9 | 1,6 | | 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 | | |
| Introduction to statistics on computers, general principles, overview of statistical softwares, organization of data, overview of statistica software, type in data, data transforming, data analysis, graphic design, organization of output, case studies |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Data types and descriptive statistics | | | Week 2 | Central tendence and their use | | | Week 3 | Concepts of Parametrical Analysis | | | Week 4 | Concepts of Non Parametrical Analysis | | | Week 5 | Overall description of Statistica Analysis environment | | | Week 6 | Veri enterence to Statistica | | | Week 7 | Estimation of sample size and power analysis | | | Week 8 | Mid-term exam | | | Week 9 | t-tests and correlation analysises | | | Week 10 | Regression Analysis | | | Week 11 | Multivariate analysis | | | Week 12 | Nested and One way ANOVA | | | Week 13 | Multivariate Analysis (MANOVA) | | | Week 14 | Multivariate Analysis (REGRESYON) | | | Week 15 | Practice | | | Week 16 | End-of-term exam | | | |
| 1 | Anthony J. Hayt. 2006. Probability and Statistics for Engineers and Scientists. Duxbury Press; 3 edition. | | | |
| 1 | George Casella. 2001. Statistical Inference. Duxbury Press; 2 edition . | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | 23/04/2013 | 1 | 50 | | End-of-term exam | 16 | 13/6/209 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Laboratuar çalışması | 2 | 12 | 24 | | Arasınav için hazırlık | 2 | 7 | 14 | | Arasınav | 1 | 1 | 1 | | Total work load | | | 39 |
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