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ADVANCED TOPICS IN COMPUTER SCIENCE

CODE 90543
ACADEMIC YEAR 2019/2020
CREDITS 6 credits during the 2nd year of 10852 COMPUTER SCIENCE (LM-18) GENOVA
SCIENTIFIC DISCIPLINARY SECTOR INF/01
LANGUAGE English
TEACHING LOCATION GENOVA (COMPUTER SCIENCE )
SEMESTER Annual
TEACHING MATERIALS AULAWEB

AIMS AND CONTENT

LEARNING OUTCOMES

Students will learn and improve their knowledge on advanced topics in computer science.

AIMS AND LEARNING OUTCOMES

The course is targeted to MSc students without a BSc degree in Computer Science, who have gaps in the knowledge of key concepts and results in Computer Science. The aim is to ensure that these gaps are filled before the student attends MSc courses with such knowledge as prerequisites.

The course is tailored to the needs of each student and consists of a mix of topics. The mix is discussed and agreed by the student, the teacher and the MSc program coordinator before the approval of the study plan, and must take into account the gaps in knowledge identified at the time of admission (or in subsequent interviews) and the study plan proposed by the student.

Each topic has its own material, evaluation criteria, and one or more reference persons, that provide guidance and advice on the material and are responsible for the evaluation of that topic.

Students are expected to study and practice mostly by themselves, and at the end a student is expected to understand and apply the concepts and results studied.

PREREQUISITES

None

TEACHING METHODS

Students are expected to study and practice mostly by themselves using reading and online material, online resources, and/or Massive Online Courses (MOOC).

SYLLABUS/CONTENT

The mix of topics is tailored to the needs of each student. Possible topics include

  • Operating Systems and Programming Skills
  • Concurrent and Distributed Programming
  • Computer Networking

The final mark is given by a weighted sum of the marks on each topic.

TEACHERS AND EXAM BOARD

Exam Board

EUGENIO MOGGI (President)

MARINA RIBAUDO

ALESSANDRO VERRI

LESSONS

TEACHING METHODS

Students are expected to study and practice mostly by themselves using reading and online material, online resources, and/or Massive Online Courses (MOOC).

Class schedule

All class schedules are posted on the EasyAcademy portal.

EXAMS

EXAM DESCRIPTION

Each topic is examined and evaluated independently, typically through an oral exam or the discussion of assignments.

ASSESSMENT METHODS

Assignments assess mainly whether a student is able to apply the concepts and results studied, while oral examinations assess mainly whether a student has understood the concepts and results.

Exam schedule

Date Time Location Type Notes
13/02/2020 16:00 GENOVA mark registration
08/06/2020 16:00 GENOVA mark registration
24/07/2020 16:00 GENOVA mark registration
17/09/2020 16:00 GENOVA mark registration
08/01/2021 16:00 GENOVA mark registration
11/02/2021 16:00 GENOVA mark registration