https://www.inf.unibz.it/~calvanese/teaching/2024-03-PhD-RM/
Free University of Bozen-Bolzano
Faculty of Enginering
PhD in Computer Science
National PhD in Artificial Intelligence
Home page of the course
Research Methods
39th PhD Cycle - March - April 2024
The lectures are taught in presence at the Free University of Bozen-Bolzano,
and are also broadcast online via MS Teams.
Students who intend to participate
remotely should contact Diego Calvanese so as to be added to the
MS Team of the course.
Course Overview
The course consists of six units, taught in six different weeks by different
lecturers from the Faculty of Engineering.
Each unit foresees two lectures, one at the beginning of the week and one at
the end of the week.
- Unit 1:
Introduction to
research and scientific paper reading and writing -
Diego Calvanese (4/3/2024 - 8/3/2024)
-
- What is Research?
- Research in Computer Science
- Selection of PhD topic
- Reading scientific papers
- How to write a scientific paper
Schedule:
- Lecture 1.1: Monday 4/3/2024, 14:00-18:00
- Lecture 1.2: Friday 8/3/2024, 14:00-16:00
- Unit 2:
Research evaluation -
Werner Nutt (11/3/2024 - 15/3/2024)
-
- Bibliometrics
- Peer reviewing
Schedule:
- Lecture 2.1: Monday 11/3/2024, 10:00-12:30
- Lecture 2.2: Friday 15/3/2024, 14:00-17:30
- Unit 3:
How to write a research
plan -
Antonella De Angeli (18/3/2024 - 21/3/2024)
-
Schedule:
- Lecture 3.1: Monday 18/3/2024, 9:00-12:00
- Lecture 3.2: Thursday 21/3/2024, 14:30-17:30
- Unit 4:
Empirical/experimental
CS research methods -
Niccolò Pretto (4/4/2024
- 11/4/2024) - New dates
-
Schedule:
- Lecture 4.1: Thursday 4/4/2024, 14:00-17:00
- Lecture 4.2: Thursday 11/4/2024, 14:00-17:00
- Unit 5: Good scientific writing style -
Niccolò Pretto (15/4/2024 - 18/4/2024)
-
Schedule:
- Lecture 5.1: Monday 15/4/2024, 9:00-12:00
- Lecture 5.2: Thursday 18/4/2024, 14:00-17:00
- Unit 6:
Presenting
scientific work -
Marco Montali (29/4/2024 - 3/5/2024)
-
Example presentations:
- A 25 mins
technical presentation of a full paper at BPM 2022 (for which we
won the best paper award). The audience is technical, but the paper
deals with techniques that are not well-known to the community, which
instead knows very well the problem that we solve through such
unconventional techniques.
- A 50 mins keynote
at the AI4BPM workshop (a workshop on Artificial Intelligence for BPM,
where the audience mainly comes from BPM, not from AI).
- A 15 mins
presentation on process mining, for an audience of medical
doctors working on telemedicine.
- A 10 mins
presentation on AI, my research, and the connection to the Smart
Data Factory technology transfer lab at NOI, for an audience of
high-school Italian students.
- A 20 mins
presentation to prospective students of our master program in
computational data science.
Schedule:
- Lecture 6.1: Monday 29/4/2024, 9:00-12:00
- Lecture 6.2: Friday 3/5/2024, 14:00-17:00
Assignments
Each unit foresees an assignment, which will be communicated to the students
during the first lecture of the unit. In the time period between the first and
second lecture of the unit, the students should complete their assignment, and
(part of) the second lecture will be devoted to discussing the assignemnt.
The time estimated to complete each assignment is 19 hours, which, when added
to the 6 hours required to atted the two lectures of the unit, results in 25
hours of work. These correspond to 1 ECTS credit.
Hence, upon completion of all assignments, a student can be granted 6 ECTS credits.
Course Material
The slides used for each unit will be made available by the lecturer of the
unit in the MS Teams channel for the course.
Writing for Computer Science (3rd Edition). Justin Zobel. Springer.
2015.
ISBN: 978-1-4471-6638-2 (Print), 978-1-4471-6639-9 (Online).
Electronic
edition available via the unibz library through SpringerLink.
Additional useful material
On Writing
On Reading
On Scholarly Publishing
On Doing Research
home page of Diego Calvanese
Last modified:
Friday, 10-Jan-2025 1:37:37 CET