Course Information Semester Course Code Course Title T+P+L Credit ECTS 5 99500008 Research in Health Science and Bioistatistics 2+2+0 3 3 Course Details Language : Turkish Level : Bachelor's Degree Department / Program : Nutrition and Dietetics Mode of Delivery : Face to Face Type : Compulsory Objectives : The main aim of the course is to teach the basic concepts of statistics, the place and use of biostatistics in work life, the place of biostatistics in decision-making processes and the importance of scientific decision making. Content : General concepts related to biostatistics, terminology and concepts, classification of statistical data, sections, grouping of data, frequency tables and graphical drawings, analysis and interpretation of related tests Methods & Techniques : Prerequisites and co-requisities : None Course Coordinator : None Name of Lecturers : Asist Prof. Fatma ÇİFTCİ Assistants : None Work Placement(s) : No Recommended or Required Reading Resources : SPSS ile Biyoistatistik, Kazım Özdamar, Nisan Kitabevi Yayınları, Ankara, 2019.SPSS 22 Uygulamalı Biyoistatistik, Yalçın Karagöz NOBEL AKADEMİK YAYINCILIK, 2019. Course Category Mathematics and Basic Sciences 50% Health 50% In-Term Study Informations In-Term Studies Quantity Percentage Mid-terms 1 40% Final examination 1 60% Total 2 100% Activity Informations Activities Quantity Duration Total Work Load Course Duration 14 2 28 Hours for off-the-c.r.stud 14 2 28 Assignments 1 2 2 Mid-terms 1 10 10 Final examination 1 15 15 Total Work Load ECTS: 3 83 Course Learning Outcomes Upon the successful completion of this course, students will be able to: No Learning Outcomes 1 To be able to solve basic statistical problems on their own. 2 To be able to understand the basic statistical techniques used in the field of scientific research 3 To be able to use the ability to analyze and interpret Weekly Detailed Course Contents Week Topics 1 Introduction to Statistics and Biostatistics - Basic Definitions and Concepts 2 Frequency Tables, Crosstabs, Single and Bivariate Graphs 3 Central Tendency Measures 4 Distribution Measures 5 Introduction to SPSS 6 Data calculation, transformation and descriptive statistics 7 Midterm 8 Probability, Probability Distributions 9 Universe and Sampling, Sampling Distributions 10 Introduction to Hypothesis Testing and Single Sample Tests 11 Two Sample Tests 12 More than Two Sample Tests 13 Parametric and Nonparametric Hypothesis Tests - SPSS 14 Correlation analysis and general applications Contribution of Learning Outcomes to Programme Outcomes P1P2P3P4P5P6P7P8P9P10P11 All 455 C1 455 C2 455 bbb
