First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
COMPUTER SCIENCE
Course unit
ADVANCED TOPICS IN COMPUTER SCIENCE
SCP6076301, A.A. 2018/19

Information concerning the students who enrolled in A.Y. 2018/19

Information on the course unit
Degree course Second cycle degree in
COMPUTER SCIENCE
SC1176, Degree course structure A.Y. 2014/15, A.Y. 2018/19
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination ADVANCED TOPICS IN COMPUTER SCIENCE
Website of the academic structure http://informatica.scienze.unipd.it/2018/laurea_magistrale
Department of reference Department of Mathematics
Mandatory attendance No
Language of instruction English
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
No lecturer assigned to this course unit

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses INF/01 Computer Science 6.0

Course unit organization
Period Annual
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 6.0 40 110.0 No turn

Calendar
Start of activities 01/10/2018
End of activities 28/06/2019

Examination board
Board From To Members of the board
2 a.a. 2017/2018 01/10/2017 28/02/2019 RANZATO FRANCESCO (Presidente)
CONTI MAURO (Membro Effettivo)

Syllabus
Prerequisites: No prerequisites.
Target skills and knowledge: Ability of dealing with advanced topics in computer science, possibly involving research questions. Ability of productively consulting scientific literature.
Examination methods: Instructor assignments.
Assessment criteria: The exam assesses the ability of the student of dealing with advanced topics in computer science, which require the study of scientific articles and specialised literature.
Course unit contents: The course consists of series of lectures, illustrating advanced topics in computer science with the support of international experts.
Planned learning activities and teaching methods: Class lectures.
Additional notes about suggested reading: Papers and lecture notes provided by the instructor.
Textbooks (and optional supplementary readings)

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Problem based learning
  • Case study
  • Working in group
  • Problem solving

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

Sustainable Development Goals (SDGs)
Industry, Innovation and Infrastructure