Ders Bilgileri

Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
BIOINFORMATICS BSM 549 0 3 + 0 3 6
 Dersin Dili Türkçe Dersin Seviyesi Yüksek Lisans Dersin Türü SECMELI Dersin Koordinatörü Doç.Dr. NİLÜFER YURTAY Dersi Verenler Dersin Yardımcıları Dersin Kategorisi Dersin Amacı To manage biological information, analyze and understand. Dersin İçeriği Molecular biology: basic concepts. Biological data flow, access and search strategies of biological databases,  Biological sequence alignment algorithms. Pattern recognition methods. Data structures (suffix trees, decision trees, graphs). Example problems and applications (protein secondary structure prediction, protein classification, gene identification).
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - students in mathematics, statistics, genetics, biochemistry and computer science learns to co-operation 1 - 2 - 8 - A - C - D - 2 - Students gain the ability to manage and work with medical databases, 1 - 2 - 8 - A - C - D -
 Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 8:Group Study Ölçme Yöntemleri: A:Testing C:Homework D:Project / Design

Ders Akışı

Hafta Konular ÖnHazırlık
1 What is molecular biology? What is the biological data stream?
2 Biological databases
3 Biological databases
4 Biological indexes and algorithms
5 Pattern recognition methods
6 Artificial neural networks
7 Markov models
8 Grouping algorithms
9 Data Structures
10 Suffix trees, decision trees
11 Example problem: protein classification
12 Example problem: gene identification
13 Project work
14 Project work

Kaynaklar

Ders Notu [1]http://cs.sakarya.edu.tr/nyurtay
Ders Kaynakları [2]Jones,C.,N., Pevzner,P.,A.,An introduction to Bioinformatic Algorithms,The MIT Press, 2004.
[3]R.A.Dwyer, Genomic Perl from Bioinformatics Basics to Working Code, Press Syndicate of the University of Cambridge,2003.
[4] S.I.Letovsky, Bioinformatics: Databases and Systems (Hardcover),Kluwer Akademic Publisher,1999

Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 gain high level ability to define the required information and data X
7 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
8 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
10 aware of new and developing application of profession and ability to analyze and study on those applications X
11 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X
12 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
13 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
14 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
15 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
16 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
17 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
18 gain high level ability to define the required information and data X
19 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
20 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
21 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
22 aware of new and developing application of profession and ability to analyze and study on those applications X
23 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
KisaSinav 1 10
Odev 1 10
SozluSinav 1 10
KisaSinav 2 10
Odev 2 10
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 25 25
Final examination 1 20 20
Toplam İş Yükü 141
Toplam İş Yükü /25(s) 5.64
Dersin AKTS Kredisi 5.64
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