Course Details

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
3BENG506BIOINFORMATICS3+0+037,513.05.2025

 
Course Details
Language of Instruction English
Level of Course Unit Master's Degree
Department / Program BIOENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course To evaluate the quality of bioinformatics tools
Describe why bioinformatics is an essential area in life sciences
Course Content The course covers computational techniques developed for analyzing large amount of information produced by recent advances in biology. The main topics of the course include biological databases, sequence retrieval, pairwise sequence alignment, multiple sequence alignment approaches, phylogenetic trees, RNA and protein structure predictions, Gene Ontology, gene regulation analysis and biological networks.
Course Methods and Techniques The course will be explained by the faculty member. The topics will be conveyed with presentations, and student participation will be ensured during the course through mutual question-answer, discussion and sample analysis methods. Students will read and analyze individually on the given articles and course materials.
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Associate Prof.Dr. DUYGU SAÇAR DEMİRCİ duygu.sacar@agu.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Introduction to bioinformatics
A Textbook of Bioinformatics: Information-Theoretic Perspectives of Bioengineering and Biological Complexes
Course Notes To Be Announced weekly via Canvas

Course Category
Mathematics and Basic Sciences %70
Engineering %30

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Sunum/Seminer 2 % 60
Final examination 1 % 40
Total
3
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Yazılı Sınav 1 15 15
F2F Dersi 14 3 42
Sunum için Hazırlık 2 15 30
Sunum 2 3 6
Proje 1 50 50
Okuma 1 3 3
Araştırma 1 10 10
Ders dışı çalışma 14 3 42
Final Sınavı 1 20 20
Total Work Load   Number of ECTS Credits 7,5 218

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Define relevant databases containing primary and derived data as well as literature.
2 Apply methods from bioinformatics to biological research
3 Analyze and apply relevant bioinformatics tools and resources
4 Design a small research project

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to bioinformatics
2 Getting started in bioinformatics
3 Databases I
4 Databases II
5 Sequence Alignment I
6 Sequence Alignment II
7 Fall Break
8 Midterm
9 MSA I
10 MSA II
11 Phylogenetic Trees
12 Structure Prediction
13 RNA Analysis
14 Biological Networks
15 Project presentations
16 Final Exam

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 3 2 3 2 4 1 5 1 1 4 4 1
C1 3 2 3 2 4 1 5 1 1 4 4 1
C2 3 2 3 2 4 1 5 1 1 4 4 1
C3 3 2 3 2 4 1 5 1 1 4 4 1
C4 3 2 3 2 4 1 5 1 1 4 4 1

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

  
  https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=77923&lang=en