Information Package / Course Catalogue
| Course Code | : BİS530 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 3 |
The objective of this course is to provide students with an understanding of statistical methods used in bioinformatics.
Theory and applications for classical and advanced statistical data analysis methods used in bioinformatics. Micro Array Analysis, Cluster Analysis and Trees, Classifcation Methods, Analyzing Sequences, Markov Models.
| 1. | Understanding the importance of statistics in bioinformatics |
| 2. | To be able to comprehend the fundamental concepts of statistics in bioinformatics |
| 3. | To be able to apply statistical techniques to analyze microarray data and interpret the results generated |
| 4. | To be able to use advanced statistical tests commonly employed in bioinformatics |
| 5. | To be able to comprehend modern statistical methods and software to solve complex problems in bioinformatics |
| Type of Assessment | Count | Percent |
|---|---|---|
| Attending Lectures | 1 | %5 |
| Assignment | 1 | %5 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 3 | 42 |
| Assignment | 1 | 2 | 0 | 2 |
| Quiz | 2 | 2 | 1 | 6 |
| Midterm Examination | 1 | 10 | 1 | 11 |
| Final Examination | 1 | 15 | 2 | 17 |
| TOTAL WORKLOAD (hours) | 78 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | |
OÇ-1 | ||||||||||
OÇ-2 | 5 | 4 | 5 | 5 | 3 | 4 | 4 | 4 | 5 | 3 |
OÇ-3 | 5 | 5 | 4 | 5 | 4 | 4 | 4 | 4 | 4 | 5 |
OÇ-4 | 4 | 5 | 3 | 5 | 5 | 4 | 4 | 3 | 5 | 4 |
OÇ-5 | 5 | 4 | 4 | 4 | 4 | 3 | 3 | 3 | 4 | 4 |