PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
CENG 589	BIOINFORMATICS	3 + 0	7th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	To introduce algorithms and modeling ideas behind common tools used in genomic sequence researches, and to enable students to analyze the biological questions and improve their ability to interpret their results.
Course Content	Sequence alignments, multiple sequence alignment. Revising DNA, RNA, gene, genome, nucleotide, ORI. Find out where the DNA sequence of the cipher is related to the proliferation of a cell by mitosis division. Find patterns that are placed consciously, then find natural codes. DNA motifs, randomize algorithms for finding these motifs. Use Euler Theorem to associate genomes. Gibb's Sampling algorithm.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Knows the answer of question "What does bioinformatics algorithms look like?
2	Designs algorithms by applying new approaches to bioinformatics problems
3	Defines the problems in the field of bioinformatics.

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
LO 001	1	1	1	1	1	1	2	3	2	2	3	2
LO 002	1	1	2	1	2	1	2	4	2	3	2	2
LO 003	2	2	2	1	2	1	2	3	3	3	3	2
Sub Total	4	4	5	3	5	3	6	10	7	8	8	6
Contribution	1	1	2	1	2	1	2	3	2	3	3	2

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
Hours for off-the-classroom study (Pre-study, practice)	14	3	42
Assignments	2	10	20
Mid-terms	1	10	10
Final examination	1	16	16
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

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

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