GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
BIOINFORMATICS/5311310
Course Title: BIOINFORMATICS
Credits 3 ECTS 8
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Dr.Oktay YILDIZ
 -- WEB SITE(S) OF LECTURER(S)
  http://w3.gazi.edu.tr/~oyildiz/
 -- EMAIL(S) OF LECTURER(S)
  oyildiz@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
To understand DNA, protein, etc.
To analyze this data
To evaluate the results obtained.
 -- MODE OF DELIVERY
  distance learning
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Introduction to bioinformatics
2. Week  Medical data
3. Week  Working with DNA
4. Week  Working with Protein
5. Week  HTML and search engine
6. Week  HTML and search engine
7. Week  Biological databases and integration
8. Week  Biological databases and integration
9. Week  Pubmed and Medline
10. Week  Midterm
11. Week  Similarity search
12. Week  Similarity search
13. Week  Microarray analysis
14. Week  Sequence analysis
15. Week  Project Presentations
16. Week  Project Presentations
 -- RECOMMENDED OR REQUIRED READING
  Bioinformatics Computing, Bryan Bergeron
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
0
0
 Assignment
2
10
 Exercises
1
15
 Projects
1
15
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
15
1
15
 Practising Hours of Course Per Week
0
 Reading
15
3
45
 Searching in Internet and Library
15
3
45
 Designing and Applying Materials
0
 Preparing Reports
5
3
15
 Preparing Presentation
5
3
15
 Presentation
1
1
1
 Mid-Term and Studying for Mid-Term
6
3
18
 Final and Studying for Final
6
3
18
 Other
6
3
18
 TOTAL WORKLOAD: 
190
 TOTAL WORKLOAD / 25: 
7.6
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Improves and deepens the field knowledge at an expert level based on undergraduate proficiency.X
2Comprehends the interactions between the computer science and other related disciplines.X
3Uses expert level theoretical and practical knowledge acquired in the computer science field.X
4Creates new knowledge by integrating the computer science knowledge and the knowledge from related disciplines.X
5Defines a problem in the computer science field.X
6Analyses the problems in the computer science field by using scientific research methods.X
7Proposes solutions to the problems in the computer science field.X
8Solves problems in the computer science field.X
9Evaluates the results within perspectives of quality processes.X
10Develops new approaches and methods by taking responsibility in complex situations in the application stages.X