COURSE UNIT TITLE

: ADVANCED BIOSTATISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ELECTIVE

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR FERHAT MATUR

Offered to

Ph.D. in Biology
Biology

Course Objective

To transfer the methods of Biostatistics and Inferential Biostatistics to the students who are doing doctorate at the Graduate School of Natural and Applied Sciences, and to gain the necessary skills to conduct an experimental study.

Learning Outcomes of the Course Unit

1   1.Knows the advanced statistical methods used in scientific studies. 2. Designing and implementing a research, evaluating and interpreting the results obtained

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 introduction
2 Basic statistic
3 Softwares
4 Paper discussion /student presentation
5 Paper discussion /student presentation
6 Midterm
7 Paper discussion /student presentation
8 Paper discussion /student presentation
9 Paper discussion /student presentation
10 Paper discussion /student presentation
11 Paper discussion /student presentation
12 Paper discussion /student presentation
13 Paper discussion /student presentation
14 Paper discussion /student presentation
15 Final exam

Recomended or Required Reading

Grimm, L.G., Yarnold, P.R. 1995. Reading and understanding multivariate statistics. American Psychological Association (APA)
Kachigan, S.K. 1991. Multivariate statistical Analysis: A conceptual introduction. Radius Press. Grimm, L.G., Yarnold, P.R. 1995. Reading and understanding multivariate statistics. American Psychological Association (APA)

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. All class members are expected to attend and both the lecture and take part in the discussion sessions. Besides the taught lecture, group presentations are to be prepared by the groups assigned for that week and presented to open a discussion session.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.40 + FIN * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

Student will be evaluated with midterm exams, quiz, homework presentation and final exam.

Language of Instruction

Turkish

Course Policies and Rules

Attendance to at least 80% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://fbe.deu.edu.tr/

Contact Details for the Lecturer(s)

ferhat.matur@deu.edu.tr

Office Hours

to be announced

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 35 35
Preparation for final exam 1 43 43
Midterm 1 4 4
Final 1 4 4
TOTAL WORKLOAD (hours) 156

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.145555555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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