
Description of Individual Course UnitsCourse 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  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   Language of Instruction  English  Work Placement(s)  None 
 Workload Calculation 

Midterm Examination  1  2  2  Final Examination  1  2  2  Attending Lectures  14  2  28  Self Study  14  2  28  Individual Study for Mid term Examination  1  20  20  Individual Study for Final Examination  1  30  30  
Contribution of Learning Outcomes to Programme Outcomes  LO1   2   2  2      3      LO2  2  2  2   2      2      LO3  2  3   2       3      LO4   2    3      3      LO5  2  3  3   3   3    3      LO6  2  3  3   3   3    3      LO7  3  3  4  3  4    3   4      LO8  2  2  2   2      2      LO9   2              LO10  2  2  2   2      2     
 * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High 



Ege University, Bornova  İzmir / TURKEY • Phone: +90 232 311 10 10 • email: intrec@mail.ege.edu.tr 
