Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
INTRODUCTION TO BIOINFORMATICS BSM 434 8 3 + 0 3 5
Ön Koşul Dersleri BMS234 Discrete Computational Structures
 Dersin Dili Türkçe Dersin Seviyesi Lisans Dersin Türü SECMELI Dersin Koordinatörü Doç.Dr. NİLÜFER YURTAY Dersi Verenler Dersin Yardımcıları Dersin Kategorisi Dersin Amacı Aim of this course is to control biological data, analyze and understand them. Dersin İçeriği Moleculer biology, basic concepts. Biological data, databases. Biological array algorithms. Pattern Recognition methods. Data structures in bioinformatic. Example problem and applications.
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - Manage biological data interaction with mathematics, statistics, genetic, biochemistry and computer science 1 - 2 - 3 - 4 - 12 - A - B - C - 2 - Use databases and manage them. 4 - 8 - B - D -
 Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 3:Discussion 4:Drilland Practice 12:Case Study 8:Group Study Ölçme Yöntemleri: A:Testing B:Oral Exam C:Homework D:Project / Design

#### Ders Akışı

Hafta Konular ÖnHazırlık
1 What is the moleculer biology ? How is the biological data flow?
2 Biological databases.
3 Biological databases.
4 Biological arrays and algorithms
5 Pattern recognition methods in bioinformatic
6 Artificial neural networks
7 Markov models
8 Classification algorithms
9 Data structures
10 Suffix trees and decision trees
11 Example: protein classification
12 Example: gene definition
13 Project study
14 Project study

#### Kaynaklar

Ders Notu [1]EBS Lecture Notes
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 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods, X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies, X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language, X
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology, X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society,
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications, X
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.

#### Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
KisaSinav 1 10
Odev 1 20
SozluSinav 1 10
KisaSinav 2 10
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

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