|Tuesday||3:30 PM - 5:30 PM||lesson||Lecture Hall F|
|Wednesday||2:30 PM - 5:30 PM||lesson||Lecture Hall F|
The goal of this course is to give the students a basis in the application of mathematical structures and computational models to describe and discuss phenomena occurring in nature. DNA, Membrane, and Light based algorithms, together to some traditional models, are proposed along with case studies to describe biological processes, and to solve relevant NP complete problems.
General aspects and definition of different classes of models
Introduction to discrete models
Differential biological models, and recurrence equations
Formal Languages and Grammars for biological aggregation
Analysis of DNA behavior by PCR
Trees and membrane models
Graphs and biological networks
Models and problems of Natural Computing
|Outcomes Exams||Outcomes Percentages||Average||Standard Deviation|
|18||19||20||21||22||23||24||25||26||27||28||29||30||30 e Lode|
Data from AA 2008/2009 based on 5 students. I valori in percentuale sono arrotondati al numero intero più vicino.