First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
ELECTRONIC ENGINEERING
Course unit
ALGORITHMS FOR BIOINFORMATICS
INN1027815, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2019/20

Information on the course unit
Degree course Second cycle degree in
ELECTRONIC ENGINEERING (Ord. 2019)
IN0520, Degree course structure A.Y. 2019/20, A.Y. 2019/20
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination ALGORITHMS FOR BIOINFORMATICS
Department of reference Department of Information Engineering
Mandatory attendance No
Language of instruction Italian
Branch PADOVA
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

Lecturers
Teacher in charge MATTEO COMIN ING-INF/05

Mutuating
Course unit code Course unit name Teacher in charge Degree course code
INN1027815 ALGORITHMS FOR BIOINFORMATICS MATTEO COMIN IN0521

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines ING-INF/05 Data Processing Systems 6.0

Course unit organization
Period Second semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 6.0 48 102.0 No turn

Calendar
Start of activities 02/03/2020
End of activities 12/06/2020
Show course schedule 2019/20 Reg.2019 course timetable

Examination board
Board From To Members of the board
10 A.A. 2019/2020 01/10/2019 15/03/2021 COMIN MATTEO (Presidente)
PIZZI CINZIA (Membro Effettivo)
DI CAMILLO BARBARA (Supplente)
FERRARI CARLO (Supplente)
VANDIN FABIO (Supplente)
9 A.A. 2018/2019 01/10/2018 15/03/2020 COMIN MATTEO (Presidente)
PIZZI CINZIA (Membro Effettivo)
DI CAMILLO BARBARA (Supplente)
FERRARI CARLO (Supplente)
VANDIN FABIO (Supplente)

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Working in group

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)