Computational Biology

Recommended Prerequisites

Knowledge of Differential and Integral Calculus, Linear Algebra and Differential Equations.

Teaching Methods

Classes are expository and include examples and exercises for applying the acquired knowledge. During classes, the students solve computational problems that involve the application of the methods studied.

During the semester, students may use tutorial time to clarify their difficulties in grasping the theory and in gaining practical knowledge, as well as in the development of the necessary skills for assignments. 

Learning Outcomes

Classes are expository and include examples and exercises for applying the acquired knowledge. During classes, the students solve computational problems that involve the application of the methods studied.

During the semester, students may use tutorial time to clarify their difficulties in grasping the theory and in gaining practical knowledge, as well as in the development of the necessary skills for assignments. 

Work Placement(s)

No

Syllabus

I - Population dynamics,

II - Reaction kinetics,

III - Dynamics of infectious diseases,

IV - Cancer growth,

V - Drug delivery.

Assessment Methods

Assessment
Laboratory work or Field work: 25.0%
Resolution Problems: 25.0%
Frequency: 50.0%

Bibliography

J.D. Murray, Mathematical Biology I - An Introduction, Springer, 2002.

J.D. Murray, Mathematical Biology II – Spatial Models and Biomedical Applications, Springer, 2003.

G. Grassi, M. Grassi, R. Lapasin, I. Colombo, Understanding drug release and absorption mechanisms, CRC Press, 2007.

A. Quarteroni, R. Sacco, F. Saleri, Numerical mathematics, Springer, 2007

L. Simon, J. Ospina, Closed-form solutions for drug transport through controlled-release devices in two and three dimensions, Wiley, 2016