Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
402001762010BIOSTATISTICSCompulsory124
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
1Knowledge of basic statistical concepts
2To distinguish the differences between types of variables
3Knowledge of basic probability
4Knowledge of the definition of random variable
5Knowledge of creating the frequency distribution table
6Knowledge of calculating measures of central tendency and measures of variability
7To distinguish between the cases of homogeneity and relationship
8Knowledge of basic concepts related with hypothesis testing
9Knowledge of reading statistical tables
10To 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
WeekTheoreticalPracticeLaboratory
1Basic Statistical Concepts: Population, Sample, Parameter, Statistic, Data, Variable
2Frequency Distribution Table, Graphs: Histogram, Line Graph, Bar Graph, Pie Charts
3Stem – and – Leaf Display
4Measures of Central Tendency: Arithmetic Mean, Median and Mode
5Measures of Variability: Range, Variance, Standard Deviation
6Probability: Basic Definitions of Probability Concept, Introduction to Probability theory
7Random Variable, Random Variable and its Functions: Discrete Random Variable and its Functions
8Midterm
9Continuous Random Variable and its Functions
10Normal Distribution, Standard Normal Distribution
11Test of Hypothesis - One Sample Z – test Based on Population Mean
12One Sample t – test Based on Population Mean
13Simple Linear Regression Analysis
14Chi – Square Distribution, Chi – Square Tests, Contingency Tables
15Review
16Final Exam
Recommended or Required Reading
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 section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
English
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Attending Lectures14228
Self Study14228
Individual Study for Mid term Examination12020
Individual Study for Final Examination13030
TOTAL WORKLOAD (hours)110
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
PO
11
PO
12
PO
13
PO
14
LO1 2 22    3    
LO2222 2    2    
LO323 2     3    
LO4 2  3    3    
LO5233 3 3  3    
LO6233 3 3  3    
LO733434  3 4    
LO8222 2    2    
LO9 2            
LO10222 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 • e-mail: intrec@mail.ege.edu.tr