Information Package

Ph.D. on Computer Engineering

BİL623

BIOMEDICAL INFORMATICS

Course Code
BİL623
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelDoctorate Of Science
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 and clinical informatics 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, Clinical bioinformatics Suffix trees and suffix arrays, Recent challenges
Course Contents
WEEK TOPICS
1st Week Basic molecular biology
2nd Week Bioinformation flow
3rd Week Sequence alignment
4th Week Multiple sequence alignment
5th Week Alignment heuristics
6th Week Gene regulation
7th Week Gene regulatory networks,Statistical inference
8th Week Mid-term
9th Week Protein structure prediction
10th Week Protein structure prediction
11th Week Clinical bioinformatics
12th Week Suffix trees and suffix arrays
13th Week Recent challenges
14th Week Recent challenges
Recommended or Required ReadingZvelebil Marketa, Baul Jeremy O., Understanding Bioinformatics, 1/E, Garland Science, 2007
Claverie Jean-Michel, Notredame Cedric, Bioinformatics for Dummies, 2/E, ISBN: 0470089857, Wiley Publishing, 2007
Planned Learning Activities and Teaching Methods
  • Project
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Project 1 30
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