053031 LP Practical Course: Computer Science 2 (2021S)
Continuous assessment of course work
Labels
Summary
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 15.02.2021 09:00 to Mo 22.02.2021 09:00
- Deregistration possible until Su 14.03.2021 23:59
Registration information is available for each group.
Groups
Group 1
max. 25 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
f you are interested in a P2 project on one of the topics listed here » Open Topics for P2 Projects, then register for this course / group » "053031 LP Praktikum Informatik 2" (choose the correct group!).
To get assigned a topic, please just follow these » instructions.
You will also receive introductory information in the kick-off meeting.
- Thursday 04.03. 20:00 - 21:30 Digital
Minimum requirements and assessment criteria
Prerequisites for participation: Mandatory prerequisites: none. Recommended prerequisites: Practicum Computer Science 1.
Space allocation is based on these prerequisites.The aim is to demonstrate a comprehensive understanding of the problems posed by the project tasks, as well as to enable the application of the necessary concepts, techniques, and methods to achieve suitable solutions.The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%A detailed specification of the requirements, as well as a guide and notes on the implementation of the project, will be announced at the beginning of the course, together with the assignment of the project topics.
Space allocation is based on these prerequisites.The aim is to demonstrate a comprehensive understanding of the problems posed by the project tasks, as well as to enable the application of the necessary concepts, techniques, and methods to achieve suitable solutions.The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%A detailed specification of the requirements, as well as a guide and notes on the implementation of the project, will be announced at the beginning of the course, together with the assignment of the project topics.
Reading list
For information on available topics for P1 and P2 offered by the MIS Research Group see: https://mis.cs.univie.ac.at/teaching/open-topics-practical-courses-theses/Literature and further details are announced by the supervisor in the course.
Group 2
max. 25 participants
Language: English
Lecturers
- Claudia Plant
- Katerina Schindlerova
- Sebastian Tschiatschek
- Nils Morten Kriege
- Lukas Miklautz
- Benjamin Roth
- Ylli Sadikaj
- Yllka Velaj
Classes (iCal) - next class is marked with N
Zu den Folien der Vorbesprechung (ab 03.03.2021):
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
- Thursday 04.03. 20:00 - 21:30 Digital
Minimum requirements and assessment criteria
Prerequisites for participation: Mandatory prerequisites: none. Recommended prerequisites: Practicum Computer Science 1.
Space allocation is based on these prerequisites.The aim is to demonstrate a comprehensive understanding of the problems posed by the project tasks, as well as to enable the application of the necessary concepts, techniques and methods in order to achieve suitable solutions.The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%A detailed specification of the requirements, as well as a guide and notes on the implementation of the project will be announced at the beginning of the course together with the assignment of the project topics.
Space allocation is based on these prerequisites.The aim is to demonstrate a comprehensive understanding of the problems posed by the project tasks, as well as to enable the application of the necessary concepts, techniques and methods in order to achieve suitable solutions.The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%A detailed specification of the requirements, as well as a guide and notes on the implementation of the project will be announced at the beginning of the course together with the assignment of the project topics.
Reading list
Literature and further details are announced by the supervisor in the course.
Topics: https://dm.cs.univie.ac.at/teaching/open-topics/
Topics: https://dm.cs.univie.ac.at/teaching/open-topics/
Group 3
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Zu den Folien der Vorbesprechung (ab 03.03.2021):
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
- Thursday 04.03. 20:00 - 21:30 Digital
Group 4
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Zu den Folien der Vorbesprechung (ab 03.03.2021):
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
- Thursday 04.03. 20:00 - 21:30 Digital
Group 5
max. 25 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Zu den Folien der Vorbesprechung (ab 03.03.2021):
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
- Thursday 04.03. 20:00 - 21:30 Digital
Group 6
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Zu den Folien der Vorbesprechung (ab 03.03.2021):
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
- Thursday 04.03. 20:00 - 21:30 Digital
Minimum requirements and assessment criteria
Prerequisites for participation: Mandatory prerequisites: none. Recommended prerequisites: Practicum Computer Science 1.
Space allocation is based on these prerequisites.The aim is to demonstrate a comprehensive understanding of the problems posed by the project tasks, as well as to enable the application of the necessary concepts, techniques and methods in order to achieve suitable solutions.The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%A detailed specification of the requirements, as well as a guide and notes on the implementation of the project will be announced at the beginning of the course together with the assignment of the project topics.
Space allocation is based on these prerequisites.The aim is to demonstrate a comprehensive understanding of the problems posed by the project tasks, as well as to enable the application of the necessary concepts, techniques and methods in order to achieve suitable solutions.The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%A detailed specification of the requirements, as well as a guide and notes on the implementation of the project will be announced at the beginning of the course together with the assignment of the project topics.
Reading list
Literature and further details are announced by the supervisor in the course.For a list of topics see: https://sc.cs.univie.ac.at/teaching/open-topics/
Group 7
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Zu den Folien der Vorbesprechung (ab 03.03.2021):
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
- Thursday 04.03. 20:00 - 21:30 Digital
Group 8
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Zu den Folien der Vorbesprechung (ab 03.03.2021):
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
- Thursday 04.03. 20:00 - 21:30 Digital
Group 9
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Zu den Folien der Vorbesprechung (ab 03.03.2021):
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
- Thursday 04.03. 20:00 - 21:30 Digital
Group 10
max. 25 participants
Language: English
Lecturers
Classes
Zu den Folien der Vorbesprechung (ab 03.03.2021):
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
Group 11
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Zu den Folien der Vorbesprechung (ab 03.03.2021):
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
- Thursday 04.03. 20:00 - 21:30 Digital
Group 12
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Zu den Folien der Vorbesprechung (ab 03.03.2021):
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
- Thursday 04.03. 20:00 - 21:30 Digital
Minimum requirements and assessment criteria
Prerequisites for participation: Mandatory prerequisites: none. Recommended prerequisites: Practicum Computer Science 1.
Space allocation is based on these prerequisites.The aim is to demonstrate a comprehensive understanding of the problems posed by the project tasks, as well as to enable the application of the necessary concepts, techniques and methods in order to achieve suitable solutions.The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%A detailed specification of the requirements, as well as a guide and notes on the implementation of the project will be announced at the beginning of the course together with the assignment of the project topics.
Space allocation is based on these prerequisites.The aim is to demonstrate a comprehensive understanding of the problems posed by the project tasks, as well as to enable the application of the necessary concepts, techniques and methods in order to achieve suitable solutions.The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%A detailed specification of the requirements, as well as a guide and notes on the implementation of the project will be announced at the beginning of the course together with the assignment of the project topics.
Reading list
Group 13
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Zu den Folien der Vorbesprechung (ab 03.03.2021):
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
- Thursday 04.03. 20:00 - 21:30 Digital
Minimum requirements and assessment criteria
Prerequisites for participation: Mandatory prerequisites: none. Recommended prerequisites: Practicum Computer Science 1.
Space allocation is based on these prerequisites.The aim is to demonstrate a comprehensive understanding of the problems posed by the project tasks, as well as to enable the application of the necessary concepts, techniques and methods in order to achieve suitable solutions.The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%A detailed specification of the requirements, as well as a guide and notes on the implementation of the project will be announced at the beginning of the course together with the assignment of the project topics.
Space allocation is based on these prerequisites.The aim is to demonstrate a comprehensive understanding of the problems posed by the project tasks, as well as to enable the application of the necessary concepts, techniques and methods in order to achieve suitable solutions.The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%A detailed specification of the requirements, as well as a guide and notes on the implementation of the project will be announced at the beginning of the course together with the assignment of the project topics.
Reading list
Literature and further details are announced by the supervisor in the course.
For details, please visit https://vda.cs.univie.ac.at/teaching/open-topics/
For details, please visit https://vda.cs.univie.ac.at/teaching/open-topics/
Group 14
max. 25 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Zu den Folien der Vorbesprechung (ab 03.03.2021):
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
https://ucloud.univie.ac.at/index.php/s/c3sChHPyPSHhnQh
- Thursday 04.03. 20:00 - 21:30 Digital
Minimum requirements and assessment criteria
Prerequisites for participation: Mandatory prerequisites: none. Recommended prerequisites: Practicum Computer Science 1.
Space allocation is based on these prerequisites.The aim is to demonstrate a comprehensive understanding of the problems posed by the project tasks, as well as to enable the application of the necessary concepts, techniques and methods in order to achieve suitable solutions.The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%A detailed specification of the requirements, as well as a guide and notes on the implementation of the project will be announced at the beginning of the course together with the assignment of the project topics.
Space allocation is based on these prerequisites.The aim is to demonstrate a comprehensive understanding of the problems posed by the project tasks, as well as to enable the application of the necessary concepts, techniques and methods in order to achieve suitable solutions.The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%A detailed specification of the requirements, as well as a guide and notes on the implementation of the project will be announced at the beginning of the course together with the assignment of the project topics.
Reading list
Literature and further details are announced by the supervisor in the course.
For details, please visit https://vda.cs.univie.ac.at/teaching/open-topics/
For details, please visit https://vda.cs.univie.ac.at/teaching/open-topics/
Information
Aims, contents and method of the course
The aim is to conduct an IT-oriented project in the field of Computer Science / Mediainformatics. Based on the experience gained during the implementation of the project students should learn to carry out IT-projects on their own. The aim is also to combine previously acquired knowledge from the various courses during the study.
Assessment and permitted materials
Evaluation of the entire project, the implementation of the prototype as well as the written report.
Examination topics
Independent processing of the project tasks (project-oriented approach).
Association in the course directory
Modul: P2
Last modified: Fr 12.05.2023 00:13