Inference
Control and Driving of Natural Systems
Day 1: Introduction (+elementary Bayes)
Practical Lecture Code
Day 2: Basics of chemistry Practical Lecture Code1
Code2 Code3
Gillespie paper link
Day 3: Elements of Sampling Practical
Lecture Code1 Code2
Day 4: Elements of Sampling II Code1
Day 5: Sampling in the Brain Code1 Code2
Day 6: Basics of Control (this will be updated)
Practical Lecture Code1
Code2
Day 7: Practical Lecture Code1 Code2 Code3
Day 8:
See Basics of Control Code1
Day 9: Elements of Optimal Control Practical Lecture Code1
Kappen link
Day 10:
Aspects of Stochastic Optimal Control
Nonexaminable practical
Code1 Code2
Day 11:
Bridging Inference Control and
Driving Physical limits on cellular sensing
Code1 Practical
Notes
Day 12:
Chemical energy production and use Practical Lecture Code1
Code2 Beard
paper
Day 13:
Flux balance analysis of metabolism Practical Lecture Code1
Code2 Krebswiki
Day 14:
Enzymes and metabolic control analysis Practical Lecture Code1
Code2 Code3
Day 15:
Review.
EE2 Maths 2012
Mini syllabus
Link to Blackboard for online problem
sets
First
problem set for download
Second
problem set for download
Third
problem set for download
Fourth
problem set for download
Fifth
problem set for download
Hints
first problem set
Hints
second problem set
Hints
third problem set
Hints
fourth problem set
Hints
fifth problem set
Handout
1Functions of Multiple Variables
Handout
2Complex Variables Full Notes
Handout
3Fourier and Laplace Transforms
Handout
4Library of Laplace Transforms
Formula
sheet
Note Double integrals
quick primer (covered by John Gibbons)
