First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
Course unit
SCP5071893, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2016/17

Information on the course unit
Degree course Second cycle degree in
SC1175, Degree course structure A.Y. 2008/09, A.Y. 2017/18
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Degree course track Common track
Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination MOLECULAR GENETICS
Website of the academic structure
Department of reference Department of Biology
E-Learning website
Mandatory attendance
Language of instruction English
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Teacher in charge GABRIELE SALES BIO/18

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines BIO/18 Genetics 6.0

Mode of delivery (when and how)
Period First semester
Year 2nd Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
Hours of
Individual study
Practice 1.0 16 9.0 No turn
Lecture 5.0 40 85.0 No turn

Start of activities 02/10/2017
End of activities 19/01/2018

Examination board
Board From To Members of the board
2 GENETICA MOLECOLARE 2017/2018 01/10/2017 25/11/2018 SALES GABRIELE (Presidente)
ROMUALDI CHIARA (Membro Effettivo)
1 GENETICA MOLECOLARE 2016-2017 01/10/2016 30/11/2017 SALES GABRIELE (Presidente)
ROMUALDI CHIARA (Membro Effettivo)

Prerequisites: The basic knowledge deriving from the subjects of the first year of the Master Degree
Target skills and knowledge: The course covers several aspects concerning the molecular mechanisms involved in genome regulation and stability.
Examination methods: Written exam.
Assessment criteria: Comprehension of the key concepts and ability to critically associate different aspects together, and with the general principles of Molecular Biology
Course unit contents: Introduction to Systems Biology.
Basics of Derivatives, Integrals and Differential Equations
Mathematical Modeling.
Static Network Models.
Markov Models.
Mutual Information, Relevance Networks and Bayesian Networks.
The Mathematics of Biological Systems.
Parameter Estimation from Noisy Data: Grid Searches, Hill Climbing, Genetic Algorithms.
Signaling Systems.
Population Systems.
SIR Model Simulation.
Planned learning activities and teaching methods: Main lectures and critical reading. Aim of the methodology is to help students during the study of updated concepts, with group activity, and to favour their critical approach to novel results.
Additional notes about suggested reading: Articles and book chapters, as indicated by the teacher
Textbooks (and optional supplementary readings)