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| TBB5172 | Biological Simulation Techniques | 2+2+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of BIOSTATISTICS and MEDICAL INFORMATICS | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 2 hours of lectures and 2 hours of practicals per week | | Lecturer | -- | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | to teach students the ability to model, simulate and analyse complex systems in a reasonable time. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | do programming | 1,4 | 1,6 | | PO - 2 : | numerify of biological systems | 1,4 | 1,6 | | PO - 3 : | estimate coeeficients using optimization | 1,4 | 1,6 | | PO - 4 : | entegrate statistics to simulation techniques | 1,4 | 1,6 | | PO - 5 : | learn dynamics about how disease dpread into a naive population | 1,4 | 1,6 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Students will learn a simple and efficient programming language (Visual Basic İn Excel) . Numeric Analysis of biologcial systems and dynamics of biological systems along with coefficient estimation with optimization techniques. A deterministic and stochastic example of smilation about how infection spreads into a susceptible population will be given step by step. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction | | | Week 2 | Programming with visual Basic in Excell | | | Week 3 | Data types and variable creation | | | Week 4 | Controlling operators | | | Week 5 | Looping | | | Week 6 | Functions | | | Week 7 | Serial Algorithms | | | Week 8 | Mid-term exam | | | Week 9 | Parameter estimation and optimization | | | Week 10 | Verification and Validation Techniques | | | Week 11 | deterministic models and their simulations | | | Week 12 | Stochastic models and their simulations | | | Week 13 | Parallel and Distributed Simulation Algorithms I | | | Week 14 | Disease dynamics models | | | Week 15 | Qualitative modelling and simulation | | | Week 16 | End-of-term exam | | | |
| 1 | Parallel and Distributed Simulation Systems" by R.M. Fujimoto, John Wiley, 2000. | | | |
| 1 | Discrete-Event System Simulation" by J. Banks, J. Carson and B. Nelson, 2nd edition, Prentice Hall, 1996. | | | 2 | Hoyle, R. H. (1995). Structural Equation Modeling: Concepts, Issues, and Applications. Thousand Oaks, CA: Sage. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | 19.11.2012 | 1 | 50 | | End-of-term exam | 16 | 19.01.2013 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 4 | 14 | 56 | | Arasınav için hazırlık | 3 | 7 | 21 | | Arasınav | 1 | 1 | 1 | | Dönem sonu sınavı için hazırlık | 2 | 10 | 20 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 141 |
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