1 | Course Title: | COMPUTATIONAL GENOMICS |
2 | Course Code: | BMB4020 |
3 | Type of Course: | Optional |
4 | Level of Course: | First Cycle |
5 | Year of Study: | 4 |
6 | Semester: | 8 |
7 | ECTS Credits Allocated: | 5 |
8 | Theoretical (hour/week): | 3 |
9 | Practice (hour/week) : | 0 |
10 | Laboratory (hour/week) : | 0 |
11 | Prerequisites: | |
12 | Recommended optional programme components: | None |
13 | Language: | Turkish |
14 | Mode of Delivery: | Face to face |
15 | Course Coordinator: | Doç. Dr. GIYASETTİN ÖZCAN |
16 | Course Lecturers: | |
17 | Contactinformation of the Course Coordinator: |
Bilgisayar Müh. Bölüm Binası, 1. kat, oda 107 Tel.:+90 (224) 294 2792 email: gozcan at uludag.edu.tr |
18 | Website: | |
19 | Objective of the Course: | This course aims to provide suitable tools and methods for solving functional genomic problems in computational terms. |
20 | Contribution of the Course to Professional Development |
21 | Learning Outcomes: |
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22 | Course Content: |
Week | Theoretical | Practical |
1 | Genetics, biological databases, and high-throughput data sources | |
2 | R, Bioconductor | |
3 | Python, Biopyhton | |
4 | Alignment against database, BLAST | |
5 | Probabilistic algorithms | |
6 | Genome Variance Analysis | |
7 | GEO database | |
8 | Phylogeny Algorithms | |
9 | Mikrodizi teknolojisi | |
10 | Clustering techniques | |
11 | Hidden Markov Modelleri | |
12 | Biological networks | |
13 | Secondary prediction | |
14 | Protein structure prediction |
23 | Textbooks, References and/or Other Materials: | M. Zvelebil and J. O. Baum, Understanding Bioinformatics, Garland Science, 2008 |
24 | Assesment |
TERM LEARNING ACTIVITIES | NUMBER | PERCENT |
Midterm Exam | 1 | 25 |
Quiz | 0 | 0 |
Homeworks, Performances | 2 | 15 |
Final Exam | 1 | 60 |
Total | 4 | 100 |
Contribution of Term (Year) Learning Activities to Success Grade | 40 | |
Contribution of Final Exam to Success Grade | 60 | |
Total | 100 | |
Measurement and Evaluation Techniques Used in the Course | ||
Information |
25 | ECTS / WORK LOAD TABLE |
Activites | NUMBER | TIME [Hour] | Total WorkLoad [Hour] |
Theoretical | 14 | 3 | 42 |
Practicals/Labs | 0 | 0 | 0 |
Self Study and Preparation | 0 | 0 | 0 |
Homeworks, Performances | 2 | 19 | 38 |
Projects | 0 | 0 | 0 |
Field Studies | 0 | 0 | 0 |
Midtermexams | 1 | 50 | 50 |
Others | 0 | 0 | 0 |
Final Exams | 1 | 50 | 50 |
Total WorkLoad | 180 | ||
Total workload/ 30 hr | 6 | ||
ECTS Credit of the Course | 6 |
26 | CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS | ||||||||||||||||||||||||||||||||||||||||||||||||||||
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LO: Learning Objectives | PQ: Program Qualifications |
Contribution Level: | 1 Very Low | 2 Low | 3 Medium | 4 High | 5 Very High |