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500502 SE Doctoral Research Seminar (2020W)

Models and Systems

Continuous assessment of course work

Summary

1 Weippl , Moodle
2 Hlavacs , Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first serve).
Registration information is available for each group.

Groups

Group 1

max. 25 participants
Language: English
LMS: Moodle

Lecturers

Classes

The course will be held online via Moodle/BigBlueButton with the first unit scheduled for Thursday October 22nd, starting at 17:00 and expected to finish at 18:00.

Aims, contents and method of the course

Gaining knowledge and achieving progress in research wrt Ph.D. projects of participants through scientific discourse and presentations of current research work.
Preparation for public presentation or defensio.

Assessment and permitted materials

Assessment of the presentation (lecture, content) as well as ongoing scientific activity in the context of the dissertation.

Minimum requirements and assessment criteria

Scientific presentation of ongoing research work and participation in the discourse.

Examination topics

The scientific topics covered by the individual Ph.D. project.

Reading list

Related literature according to the topics covered by the individual Ph.D. project.

Group 2

max. 25 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

All meetings of the course will happen digitally.

Preliminary Talk: 19.10.2020, 14:30-15:30
(In Collaborate via Moodle)

For each student individual feedback slots will be assigned over the course of the semester.

End Presentations: 26.01.2021, 9:00-13:00

Monday 19.10. 14:30 - 15:30 Digital
Tuesday 26.01. 09:00 - 13:00 Digital

Aims, contents and method of the course

Doctoral students have to attend the following seminars twice (i.e. each doctoral student must attend 6 seminars in total). At the beginning of the lecture, the seminar type will be selected for each student based on the current progress in the dissertation. This determines the goals, content, and methods, as outlined in the following:

Research Conception Seminar: In these seminars, PhD students should be optimally prepared for computer science research in their chosen research field and be enabled to formulate a strong research proposal. This should be worked out together with the supervisors. For example, teaching activities like the following should take place: Workshops on research proposal preparation; preparation, presentations and discussion of literature and/or tools in a research area; overview of research methods.

Research Foundations Seminar: In these seminars, doctoral students should work on research foundations in their chosen research field together with their supervisors. For example, teaching activities such as the following should take place: Research Methods Seminar; Systematic Literature Studies; Prototyping Workshop; (Open Source) Software Study; Writers Workshop.

Advanced Topics Research Seminar: In these seminars, doctoral students will deepen the research basics by means of research subject-specific advanced topics together with their supervisors. For example, teaching activities like the following should take place: Advanced Systematic Literature Studies; Advanced Prototyping Workshop; Advanced (Open Source) Software Study; Advanced Writers Workshop; In-depth discussions and workshops on in-progress papers/dissertation write-ups.

At the beginning of the course a structure for peer feedback and feedback by (at least 3) supervisors to students will also be determined. That is, the organizational structure of the course will be determined. For example, if the course is held in blocked form, peer and supervisor feedback can be given in onsite workshops. For example, if the course is organized as a brown-bag seminar over the semester, supervisor feedback might be given after regular talks, whereas peer feedback is provided individually organized meetings.

Assessment and permitted materials

Based on the type of seminar selected, the student will be assigned a task to work on during the course (e.g., developing a research proposal, studying the literature in a research area, a scientific study task). Expected deliverables to be delivered at the end of the course will also be determined per student (e.g., a paper containing the results of the course work). Each student will be graded by her/his course supervisor based on the results achieved (80%), feedback gotten from other supervisors and peers and how well it was addressed (10%), and feedback provided to other peers (10%).

Minimum requirements and assessment criteria

To get a positive mark, the student have to fulfill the following requirements:

1) The agreed on deliverables must be delivered at the deadline.

2) Peer feedback must have been provided to other students following the organizational structure agreed upon at the beginning of the course.

3) Feedback from supervisors must have been obtained following the organizational structure agreed upon at the beginning of the course.

In addition to the deliverables to be delivered, the student is responsible to document the peer feedbacks provided and received and which supervisor feedback has been received and how it was addressed.

Examination topics

1) Key deliverables agreed at the beginning of the lecture.

2) Individual materials (papers, prototypes, open source systems, ...) relevant for the dissertation of the student and the tasks agreed upon.

Reading list

Individual literature and other materials (prototypes, open source systems, ...) relevant for the dissertation of the student and the tasks agreed upon.

Association in the course directory

Last modified: Tu 13.10.2020 14:10