          Description of Individual Course Units
 Course Unit Code Course Unit Title Type of Course Unit Year of Study Semester Number of ECTS Credits 402001762010 BIOSTATISTICS Compulsory 1 2 4
Level of Course Unit
First Cycle
Language of Instruction
English
Objectives of the Course
By taking this course, students will understand the basic probability and statistical concepts and learn statistical analysis techniques that they can apply in their own area.
Name of Lecturer(s)
Asst.Prof.Dr. Burcu Aytaçoğlu
Learning Outcomes
 1 Knowledge of basic statistical concepts 2 To distinguish the differences between types of variables 3 Knowledge of basic probability 4 Knowledge of the definition of random variable 5 Knowledge of creating the frequency distribution table 6 Knowledge of calculating measures of central tendency and measures of variability 7 To distinguish between the cases of homogeneity and relationship 8 Knowledge of basic concepts related with hypothesis testing 9 Knowledge of reading statistical tables 10 To be able to understand simple linear regression
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Basic Statistical Concepts, Probability, Random Variable and Probability Distributions, Frequency Distributions, Graphs, Descriptive Statistics: Measures of Central Tendency and Measures of Variability, Normal and Standard Normal Distribution, Chi – Square Tests, Contingency Tables, Hypothesis Testing, Simple Linear Regression
Weekly Detailed Course Contents
 Week Theoretical Practice Laboratory 1 Basic Statistical Concepts: Population, Sample, Parameter, Statistic, Data, Variable 2 Frequency Distribution Table, Graphs: Histogram, Line Graph, Bar Graph, Pie Charts 3 Stem – and – Leaf Display 4 Measures of Central Tendency: Arithmetic Mean, Median and Mode 5 Measures of Variability: Range, Variance, Standard Deviation 6 Probability: Basic Definitions of Probability Concept, Introduction to Probability theory 7 Random Variable, Random Variable and its Functions: Discrete Random Variable and its Functions 8 Midterm 9 Continuous Random Variable and its Functions 10 Normal Distribution, Standard Normal Distribution 11 Test of Hypothesis - One Sample Z – test Based on Population Mean 12 One Sample t – test Based on Population Mean 13 Simple Linear Regression Analysis 14 Chi – Square Distribution, Chi – Square Tests, Contingency Tables 15 Review 16 Final Exam
Text Book: 1. Şanslı Şenol, “Tanımlayıcı İstatistik”, Nobel Yayın Dağıtım, ISBN 978-605-395-146-9 2. Şanslı Şenol, “Çıkarsamalı İstatistik”, Nobel Yayın Dağıtım, ISBN 978-605-395-146-9 References: Applied Statistics and Probability for Engineers, Montgomery & Runger, 3rd Ed.
Planned Learning Activities and Teaching Methods
Activities are given in detail in the sections of "Assessment Methods and Criteria" and "Workload Calculation".
Assessment Methods and Criteria
 Term (or Year) Learning Activities Quantity Weight Midterm Examination 1 100 SUM 100 End Of Term (or Year) Learning Activities Quantity Weight Final Sınavı 1 100 SUM 100 Term (or Year) Learning Activities 40 End Of Term (or Year) Learning Activities 60 SUM 100
Work Placement(s)
None 