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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
BIOINFORMATICS APPLICATIONS BTE520 - 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITMaster's Degree With Thesis
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)-
LEARNING OUTCOMES OF THE COURSE UNIT 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
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNo
COURSE DEFINITION
COURSE CONTENTS
WEEKTOPICS
1st Week 1. Definition and Content of Bioinformatics
2nd Week 2. Biological Databases
3rd Week 3. Sequence Alignment
4th Week 4. Similarity Search in Databases
5th Week 5. Basic Algorithms
6th Week 6. Gene Prediction
7th Week 7. Promotor and Regolatory Sequence Prediction
8th Week 8. MIDTERM
9th Week 9. Phylogenetic Tree Construction Methods and Programs
10th Week 10. Structural Bioinformatics I: Protein Structures
11th Week 11. Structural Bioinformatics II: RNA Secondary Structures
12th Week 12. Genome Mapping, Assembly, and Comparison
13th Week 13. Microarray Analysis
14th Week 14. Student Projects
15th Week
RECOMENDED OR REQUIRED READING? Essential Bioinformatics. Jin Xiong. Cambridge University Press, 2006.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Discussion,Questions/Answers,Presentation
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term135
Practice125
Total(%)60
Contribution of In-term Studies to Overall Grade(%)60
Contribution of Final Examination to Overall Grade(%)40
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam18484
Preparation for Quiz11616
Individual or group work000
Preparation for Final exam12424
Course hours14342
Preparation for Midterm exam11111
Laboratory (including preparation)000
Final exam19696
Homework11212
Project11212
Total Workload297
Total Workload / 309,9
ECTS Credits of the Course10
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
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