Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
300001112005BIOISTATISTICSCompulsory123
Level of Course Unit
First Cycle and Second Cycle
Language of Instruction
Turkish
Objectives of the Course
The aim of this course: students after graduation, pharmacy practice areas to gain the notion of basic statistics, Pharmacy education and face after the predictions of statistical concepts pharmaceutical firms' production, licenses and units in clinical research to gain knowledge to work hospital pharmacy and pharmaco economics and evaluation processes to gain information about
Name of Lecturer(s)
Assoc. Prof. Dr. Dr. Ercüment KARASULU
Learning Outcomes
1Understanding the issues of pharmaceuticals used in the basic biostatistics
2Understanding Descriptive Statistics Example
3Sample Descriptive Statistics to apply
4To understand the applications of Probability Theory and Chance Arguments
5To understand the biological sciences Relations between variables
6To understand the applications of regression and correlation
7The application of biological sciences, experimental designs and test statistics
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Basic Concepts and Definitions, Descriptive Sample Statistics, Probability Theory and Chance Variables, Special probability distributions, statistical interpretation, Relationships Between Variables, Regression and Correlation, and Analysis Introduction to Design of Experiment, Non-Parametric Tests
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Basic Concepts and Definitions Practice
2Descriptive Sample Statistics Practice
3Theory of Probability and Chance Arguments Practice
4Special probability distributions Practice
5Normal Probability Distribution Practice
6Statistical Interpretation 1 Practice
7Statistical Interpretation 2 Practice
8Statistical Interpretation 3 Practice
9Midtrem ExamPractice
10Relationships Between Variables Practice
11Regression and Correlation 1 Practice
12Regression and Correlation 2 Practice
13Trial Design and Analysis Input 1 Practice
14Trial Design and Analysis Input 2 Practice
15Nonparametric Tests
16Final Exam
Recommended or Required Reading
Lecture notes are supplied by the lecturer
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
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Sınavı1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination11.51.5
Attending Lectures14228
Problem Solving70.53.5
Individual Study for Mid term Examination21530
Individual Study for Final Examination12020
TOTAL WORKLOAD (hours)84.0
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
PO
15
PO
16
PO
17
PO
18
PO
19
PO
20
PO
21
LO1 3   334       445   
LO2 4   554       443   
LO3 5 33444       354   
LO4 4 43344       553 34
LO533 55344      3443 45
LO645 55345      4444 34
LO744 44434      4535 45
* 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