| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 7 | COMP462 | BIOINFORMATICS | 0+3+0 | 5 | 5 |
|
Language of Instruction
|
English
|
|
Level of Course Unit
|
Bachelor's Degree
|
|
Department / Program
|
COMPUTER ENGINEERING
|
|
Type of Program
|
Formal Education
|
|
Type of Course Unit
|
Elective
|
|
Course Delivery Method
|
Face To Face
|
|
Objectives of the Course
|
Learn different types and sources of data available in bioinformatics
Learn the fundamental computational problems in molecular biology and genetics
Learn a core set of widely used algorithms in bioinformatics
Learn a set of algorithms that have important applications in bioinformatics, but which have key applications outside of biology as well
Apply the concepts learned to a real problem
|
|
Course Content
|
Explain the fundamental computational problems in molecular biology and genomics
Explain different types and sources of data available in bioinformatics
Implement a core set of widely used algorithms in bioinformatics
Apply a bioinformatics method to a real problem
|
|
Course Methods and Techniques
|
|
|
Prerequisites and co-requisities
|
None
|
|
Course Coordinator
|
None
|
|
Name of Lecturers
|
Asist Prof.Dr. VEHBİ ÇAĞRI GÜNGÖR burcu.gungor@agu.edu.tr
|
|
Assistants
|
None
|
|
Work Placement(s)
|
No
|
Recommended or Required Reading
|
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
ECTS Allocated Based on Student Workload
|
Activities
|
Total Work Load
|
|
Yazılı Sınav
|
1
|
10
|
10
|
|
Ev Ödevi
|
1
|
5
|
5
|
|
Sunum
|
1
|
5
|
5
|
|
Proje
|
1
|
20
|
20
|
|
Kısa Sınav
|
1
|
1
|
1
|
|
Okuma
|
1
|
1
|
1
|
|
Yüz Yüze Ders
|
1
|
3
|
3
|
|
Final Sınavı
|
1
|
20
|
20
|
|
Total Work Load
| |
|
Number of ECTS Credits 2
65
|
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
|
1
| Explain the fundamental computational problems in molecular biology and genomics |
|
2
| Explain different types and sources of data available in bioinformatics |
|
3
| Implement a core set of widely used algorithms in bioinformatics |
|
4
| Apply a bioinformatics method to a real problem |
Weekly Detailed Course Contents
Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=74872&lang=en