Information Package

Master's of Computer Engineering without Thesis

BİL544

BIOINFORMATICS

Course Code
BİL544
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Learn basic bioinformation flow.
  2. Get practice on using and developing bioinformatics tools.
  3. Meet to research challenges in the field.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionBasic molecular biology. Bioinformation flow. Sequence alignment. Multiple sequence alignment. Alignment heuristics Gene regulation, Gene regulatory networks. Statistical inference. Protein structure prediction. Machine learning in bioinformatics. Suffix trees and suffix arrays. Recent challenges
Course Contents
WEEK TOPICS
1st Week Introduction to Bioinformatics
2nd Week Central Dogma in Biology
3rd Week Protein Structure and Amino Acids
4th Week Sequence Alignment
5th Week Sequence Alignment
6th Week Phylogenetic Trees
7th Week Suffix Trees and Arrays
8th Week Mid-term
9th Week Machine Learning in Bioinformatics
10th Week Machine Learning in Bioinformatics
11th Week Machine Learning in Bioinformatics
12th Week Project Representations
13th Week Project Representations
14th Week Project Representations
Recommended or Required Reading1. Zvelebil Marketa, Baul Jeremy O., Understanding Bioinformatics, 1/E, Garland Science, 2007
2. Claverie Jean-Michel, Notredame Cedric, Bioinformatics for Dummies, 2/E, ISBN: 0470089857, Wiley Publishing, 2007
Planned Learning Activities and Teaching Methods
  • Project
  • Lecture
  • Presentation
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Project 1 15
Presentation of Article 1 15
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 2 2
Preparation for Quiz
Individual or group work 14 11 154
Preparation for Final exam 1 69 69
Course hours 14 3 42
Preparation for Midterm exam 1 44 44
Laboratory (including preparation)
Final exam 1 2 2
Homework
Total Work Load313
Total Work Load / 30 (h)10.43
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3
K1 X X X
K2
K3 X X
K4 X X
K5 X X
K6 X X
K7
K8 X X X
K9
K10
K11
K12