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 corequisities 
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 

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   

Recommended or Required Reading 
Text Book:
1. Şanslı Şenol, “Tanımlayıcı İstatistik”, Nobel Yayın Dağıtım, ISBN 9786053951469
2. Şanslı Şenol, “Çıkarsamalı İstatistik”, Nobel Yayın Dağıtım, ISBN 9786053951469
References:
Applied Statistics and Probability for Engineers, Montgomery & Runger, 3rd Ed. 
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  
Midterm Examination  1  100  SUM  100  
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 

Workload Calculation 