Information Package / Course Catalogue
| Course Code | : BİS537 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 2 |
| Credit | : 4 |
| Lab | : 0 |
| ECTS | : 5 |
The aim of this course is to teach students the ability to model, simulate and analyse complex systems in a reasonable time.
Random number generation and random distributions, Monte Carlo simulations, Markov chain theory, Monte Carlo Markov chain method, bootstrap and Jackknife methods, the Gibbs and Metropolis algorithms, simulation of medical data and application.
| 1. | Be able to do programming |
| 2. | Be able to numerify of biological systems |
| 3. | Learn the techniques of estimate coeeficients using optimization |
| 4. | Be able to entegrate statistics to simulation techniques |
| 5. | To be able to apply simulation techniques |
| 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 |
| Lecture - Practice | 14 | 0 | 2 | 28 |
| Assignment | 1 | 10 | 0 | 10 |
| Quiz | 2 | 2 | 1 | 6 |
| Midterm Examination | 1 | 10 | 2 | 12 |
| Final Examination | 1 | 20 | 2 | 22 |
| TOTAL WORKLOAD (hours) | 120 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | |
OÇ-1 | 4 | 4 | 4 | 3 | 4 | 3 | 3 | 4 | 3 | 4 |
OÇ-2 | 4 | 4 | 4 | 4 | 3 | 3 | 3 | 2 | 2 | 3 |
OÇ-3 | 2 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 2 |
OÇ-4 | 5 | 5 | 5 | 4 | 5 | 4 | 4 | 4 | 5 | 5 |
OÇ-5 | ||||||||||