| TYPE OF COURSE UNIT | Elective Course |
| LEVEL OF COURSE UNIT | Master's Degree With Thesis |
| YEAR OF STUDY | - |
| SEMESTER | - |
| NUMBER OF ECTS CREDITS ALLOCATED | 10 |
| NAME OF LECTURER(S) | -
|
| LEARNING OUTCOMES OF THE COURSE UNIT |
At the end of this course, the students;
1) Learn databases used in biotechnology and applications areas.
2) Understand basic approaches in data mining.
|
| MODE OF DELIVERY | Face to face |
| PRE-REQUISITES OF THE COURSE | No |
| RECOMMENDED OPTIONAL PROGRAMME COMPONENT | No |
| COURSE DEFINITION | |
| COURSE CONTENTS | | WEEK | TOPICS |
|---|
| 1st Week | 1. Introduction and Fundemantal Concepts | | 2nd Week | 2. Genomic Databases | | 3rd Week | 3. Sequence Databases | | 4th Week | 4. Protein Structure Databases | | 5th Week | 5. Interaction Databases | | 6th Week | 6. Expression Databases | | 7th Week | 7. MIDTERM | | 8th Week | 8. Data Mining | | 9th Week | 9. Relation Analysis | | 10th Week | 10. Classification | | 11th Week | 11. Clustering | | 12th Week | 12. Regression Analysis | | 13th Week | 13. Feature Reduction and Selection | | 14th Week | 14. Basic Component Analysis | | 15th Week | |
|
| RECOMENDED OR REQUIRED READING | ? Güncel literatür. / Update literature covering the studies in the area. |
| PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Discussion,Questions/Answers,Presentation |
| ASSESSMENT METHODS AND CRITERIA | | | Quantity | Percentage(%) |
|---|
| Mid-term | 1 | 30 | | Assignment | 1 | 25 | | Quiz | 1 | 45 | | Total(%) | | 100 | | Contribution of In-term Studies to Overall Grade(%) | | 100 | | Contribution of Final Examination to Overall Grade(%) | | 0 | | Total(%) | | 100 |
|
| ECTS WORKLOAD |
| Activities |
Number |
Hours |
Workload |
| Midterm exam | 1 | 84 | 84 | | Preparation for Quiz | 1 | 16 | 16 | | Individual or group work | 0 | 0 | 0 | | Preparation for Final exam | 1 | 24 | 24 | | Course hours | 14 | 3 | 42 | | Preparation for Midterm exam | 1 | 11 | 11 | | Laboratory (including preparation) | 0 | 0 | 0 | | Final exam | 1 | 96 | 96 | | Homework | 1 | 12 | 12 | | Project | 1 | 12 | 12 | | Total Workload | | | 297 |
|---|
| Total Workload / 30 | | | 9,9 |
|---|
| ECTS Credits of the Course | | | 10 |
|---|
|
| LANGUAGE OF INSTRUCTION | Turkish |
| WORK PLACEMENT(S) | No |
| | |
