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Course Catalog 2014-2015
SGN-53006 Computational Modeling in Biomedical Problems, 5 cr |
Additional information
Suitable for postgraduate studies
Person responsible
Andre Sanches Ribeiro
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
To complete the course, the student is required to (all three requirements must be completed to pass the course):
a) Execute the project work (20% of the final grade)
b) Execute the weekly exercises (1 per exercises lesson, 40% of the final grade)
c) Do the final exam (40% of the final grade)
Completion parts must belong to the same implementation
Learning Outcomes
After completing the course, the student will be able to create mathematical models of cellular systems, both deterministic and stochastic, implement them, and solve them by analytical or numerical methods. Systems include simple processes, signal transduction, and gene expression. Moreover, the student will learn how to choose appropriately between deterministic and stochastic methods. After the course, the student will have the necessary skills in using the MATLAB environment in modeling of dynamical processes.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Deterministic modeling of chemical reactions | Numerical simulation of deterministic models of chemical reactions | |
| 2. | Stochastic modeling of chemical reactions | Numerical simulation of stochastic models of chemical reactions | |
| 3. | Reaction-diffusion modeling | Deterministic and stochastic solutions. | |
| 4. | Deterministic and stochastic modeling of neurons | Deterministic and stochastic solutions |
Instructions for students on how to achieve the learning outcomes
To complete the course, the student is required to (all three requirements must be completed to pass the course): a) Execute the project work (20% of the final grade) b) Execute the weekly exercises (1 per exercises lesson, 40% of the final grade) c) Do the final exam (40% of the final grade)
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Additional information about prerequisites
1) Advisable basic knowledge of calculus.
2) Advisable knowledge of Differential equations.
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |
| This course presents methods and modeling strategies of biological systems, focusing on the modeling and simulation of chemical processes in cells using differential equations and numerical methods. After completing the course, the student will be able to create mathematical models of cellular systems, both deterministic and stochastic, implement them, and solve them by analytical or numerical methods. Systems include simple processes, signal transduction, and gene expression. Moreover, the student will learn how to choose appropriately between deterministic and stochastic methods. After the course, the student will have gained multiple skills in using the MATLAB environment in modeling of dynamical processes. |