PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
BMM 207	INTRODUCTION TO BIOINFORMATICS	3 + 0	8th Semester	4

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	To instruct of information flooding from biological data and bioinformatic approach to DNA-RNA and protein information flood.
Course Content	Comparing to sequences, phylogenetic tree making, measurement of lenghts of between species. Proteomics, genemics.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	To learn how to make information flooding.
2	Comprehend of general proteomics structure
3	Comprehend of geenomics structure
4	To comprehend of general knowledge on DNA, RNA and phylogenetics three
5	Assessment of microarray data

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12	PO 13	PO 14
LO 001	5	3	3	3	4	4	4	3	4	4	3	2	4	3
LO 002	5	4	4	3	4	3	3	3	3	3	2	2	3	3
LO 003	4	2	4	1	4	3	3	3	3	3	2	2	2	2
LO 004	5	3	3	2	3	2	3	3	3	3	2	2	3	3
LO 005	5	3	3	2	3	2	3	3	3	3	2	2	3	3
Sub Total	24	15	17	11	18	14	16	15	16	16	11	10	15	14
Contribution	5	3	3	2	4	3	3	3	3	3	2	2	3	3

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Mid-terms	1	20	20
Final examination	1	22	22
Internet Searching/ Library Study	1	20	20
Total Work Load ECTS Credit of the Course			104 4

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
BMM 207	INTRODUCTION TO BIOINFORMATICS	3 + 0	1	Turkish	2021-2022 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Lecturer MELTEM BALABAN	mbalaban@pau.edu.tr		TEK A0008	%60

Goals		To instruct of information flooding from biological data and bioinformatic approach to DNA-RNA and protein information flood.
Content		Comparing to sequences, phylogenetic tree making, measurement of lenghts of between species. Proteomics, genemics.

Topics

Weeks	Topics
1	Introduction to bioinformatics-Python programming language
2	Python programming language
3	Python programming language
4	Python programming language
5	Python programming language
6	Python programming language
7	Python programming language
8	Bioinformatic methods/Python applications
9	Bioinformatic methods/Python applications
10	Bioinformatic methods/Python applications
11	Bioinformatic methods/Python applications
12	Bioinformatic methods/Python applications
13	Bioinformatic methods/Python applications
14	Bioinformatic methods/Python applications

Materials

Materials are not specified.

Resources

Resources	Resources Language
PYTHON 3,Onur Sevli,KODLAB Yayın,2021	Türkçe
Uygulamalı Biyoinformatik Giriş,Paul M.Selzer,Richard J.Marhöfer,Oliver Koch,Palme Yayıncılık,2019	Türkçe
Mastering Python for Bioinformatics,Ken Youens-Clark,O'Reilly Media, Inc.,2021	English

Course Assessment

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student