Computational Modelling in Biology - 136042
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Lecture |
Exercise |
Laboratory |
Project or
Seminar |
House
Work |
Weekly
Hours |
2 |
1 |
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3 |
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Determination of the grade according to progress during the semester and the submission of the final thesis
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Prerequisites
| | | | Differential and Integral Calculus 2 |
104004
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or
| | | Linear Algebra M |
104019
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or
| | | Introduction to Computing with Matlab |
234127
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Identical Courses
| | | | Computational Modelling in Biology |
138042
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This Course Will Review Computational Methods Employed in Modeling Biological Systems. the Emphasis Will Be Placed on Case Studies and Classical Biological Modelling Problems. Incidentally, the Students Will Be Introduced to the Process of Formulating Hypotheses in Quantitative Terms. the Course Will Rely on Hands-on, Problem Solving Approach. All Models Will Be Implemented in Matlab. Lerning Outcomes:
1. Familiairty with Diffrent Types of Modelling Approaches Used to
Timetable to semester 01/2022
2202/2023 Winter Semester
| Room | Building | Hour | day | Lecturer | Exercise
Lecture | no. | Registering
Group |
|---|
| 230 | αιεμεβιδ | 10:30-12:30 | Tuesday | Associate Prof. Shemesh Tom | Lecture | 10 | 11 |
| 230 | αιεμεβιδ | 12:30-13:30 | Tuesday | | Exercise | 11 |
Textbooks| Published | Publisher | Authors | Book |
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| 2006 | princeton university press | s.p. ellner and j.guckenheimer | dynamic models in biology |
| 1993 | princeton university press | h. berg | random walks in biology |
Created in 13/08/2022 Time 08:40:10
