Information Package

Master's of Biotechnology with Thesis

BTE520

BIOINFORMATICS APPLICATIONS

Course Code
BTE520
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree With Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Understand content of bioinformatics, biological databases, and basic principles and algorithms of sequence alignment and similarity search in databases.
  2. Learn basic prediction and molecular phylogenetic strategies.
  3. Understand fundamentals of structural bioinformatics.
  4. Understand fundamentals approaches of functional genomics.
  5. Perform computer application of the course content, run a study on individual basis, and discuss results.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNo
Course DescriptionWithin the scope of this course; the scope of bioinformatics, biological databases, the basic principles of sequence alignment and similarity scanning in databases and basic algorithms, basic prediction and molecular phylogenetics applications, structural bioinformatics studies, functional genomics applications are explained.
Course Contents
WEEK TOPICS
1st Week Bioinformatics Definition and Scope
2nd Week Biological Databases
3rd Week Sequence Alignment
4th Week Similarity in Databases
5th Week Basic Algorithms
6th Week Gene Prediction
7th Week Promoter and Regulatory Region Predictions
8th Week MIDTERM EXAM
9th Week Phylogenetic Trees
10th Week Structural Bioinformatics I: Proteins
11th Week Structural Bioinformatics II: Secondary RNA Structures
12th Week Genome Mapping and Comparison
13th Week Microarray Analyzes
14th Week Student Projects and Discussion
15th Week
Recommended or Required ReadingEssential Bioinformatics. Jin Xiong. Cambridge University Press, 2006.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 35
Practice 1 25
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 84 84
Preparation for Quiz 1 16 16
Individual or group work 0 0 0
Preparation for Final exam 1 24 24
Course hours 14 3 42
Preparation for Midterm exam 1 11 11
Laboratory (including preparation) 0 0 0
Final exam 1 96 96
Homework 1 12 12
Project 1 12 12
Total Work Load297
Total Work Load / 30 (h)9.9
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5
K1 X X X X
K2 X X X
K3
K4 X X X X X
K5 X
K6 X X X X X
K7 X X X X X
K8
K9 X