Computational biophysics
A.Y. 2017/2018
Learning objectives
The student will learn the techniques and the algorithms to study kinetic and equilibrium properties of classical models of molecules and polymers, mainly of biological interest.
Expected learning outcomes
Undefined
Lesson period: First semester (In case of multiple editions, please check the period, as it may vary)
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
BIO/10 - BIOCHEMISTRY - University credits: 0
FIS/03 - PHYSICS OF MATTER - University credits: 0
INF/01 - INFORMATICS - University credits: 0
FIS/03 - PHYSICS OF MATTER - University credits: 0
INF/01 - INFORMATICS - University credits: 0
Lessons: 42 hours
Professor:
Tiana Guido
Professor(s)