Description of Individual Course Units
 Course Unit Code Course Unit Title Type of Course Unit Year of Study Semester Number of ECTS Credits 9303135232003 Computational Biostatistics I Elective 1 2 6
Level of Course Unit
Second Cycle
Objectives of the Course
Purpose of this course, students appreciate: the significance of statistics in research , to learn the basic understanding probability and statistics , data from studies in computer functioning, graphics, tables and numerical methods to analyze the ability of özetleyebilmesi and the course is to provide the level.
Name of Lecturer(s)
Assist. Prof. Dr. Timur KÖSE
Learning Outcomes
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Lot of statistics in research. Measurement scale of variables and data summarizing techniques ppropriate to scale of data . Basic rules and concepts of probability. Discrete and continuous random variables and some basic probability distributions. Basic concepts of sampling methods, sampling distributions, estimation and hypothesis testing . One example of problems related to the dependent and independent two-sample estimation and hypothesis testing methods. Data compilation and analysis of the use of computer software in order.
Weekly Detailed Course Contents
 Week Theoretical Practice Laboratory 1 The place and importance of statistics in research. Nominal, Ordinal and numeric scale of measurements and their properties. Data summarization methods by using tables and graphics. 2 Measures of central tendency and variability. 3 Computer programs 4 Applications with computer 5 Concepts and rules related with probability. Binomial Distribution. Solving problems about distributions 6 Poisson and Normal Distributions Solving problems about distributions 7 Sampling methods and sampling distributions 8 Midterm 9 Confidence intervals and hypothesis testing 10 Student-t and Wilcoxon Tests for one sample and paired two samples case 11 Student-t and Wilcoxon Tests for one sample and paired two samples case Applications with computer 12 Student-t Test ve Mann-Whitney U Test for two independen samples Applications with computer 13 Categorical data analysis: Chi-Square, Fisher Exact and Mc. Nemar Tests Applications with computer 14 Linear relationship between two variables: Pearson and Spearman correlation analysis methods Applications with computer 15 Final exam
İkiz F., Püskülcü H., Eren Ş., "İstatistiğe Giriş", Barış Yayınları Fakülteler Kitabevi, 2006 (7. Baskı) Dawson B., Trapp R. G., "Basic & Clinical Biostatistics", McGraw-Hill, 2004 (4. Baskı) Softwares for data management and analysis.
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
 Term (or Year) Learning Activities Quantity Weight SUM 0 End Of Term (or Year) Learning Activities Quantity Weight SUM 0 SUM 0
Language of Instruction
Turkish
Work Placement(s)
None