DD2435 Mathematical modeling of biological systems

F/L

Content

Staff

F1

Course introduction

Modeling of biological processes in cells and multicellular systems, an overview. Introduction to modeling chemical reactions.

EF

F2

Enzyme kinetics, biochemical networks.

EF

F3

Enzyme kinetics, biochemical networks, cont.

EF

F4

Nernst-Planck and Goldmann-Hodgkin-Katz eqn,

non linear membranes, electrical equivalent circuits.

EF

F5

Voltage and ligand gated ion channels, Hodgkin-Huxley eqn, stochastic models

EF

L1

Biochemical networks

SA

F6

Passive and active electrical properties, cable equations, compartment models

EF

L1

Biochemical networks

SA

F7

Diffusion. Simplified neuron models.

EF

L2

Ion movement, cell membranes, ion channels

SA

F8

Genetic networks. Reverse engineering of biochemical networks.

EF

L2

Ion movement, cell membranes, ion channels

SA

L31

Diffusion + genetic networks

SA

L31

Diffusion + genetic networks

SA

F9

Synaptic transmission, Pre- and postsynaptic mechanisms, plasticity

EF

L41

Neuron models I + Neuron models II

SA

F10

Neural networks and systems. Project planning.

EF


L41

Neuron models I + Neuron models II

SA

T

Exam

EF

L5

Neural networks

SA

L5

Neural networks

SA

F11

Project review

EF




EF = Erik Fransén

SA = Sten Andersson


1 L3 or L4 should be done, the time of the lab that you don't do can be used as extra time


LAB1 1.5p Lab1, 2, 4 (lab 4 can be replaced by lab3).

PROJ2 3p Lab5 + Project

TEN2 4.5p Exam