195.079 Fundamental research methods for doctoral students
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020S, VU, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to...

  • understand the fundamental research methods in Computer Science
  • provide a basic understanding of important research methods
  • critically apply these methods to advanced research

 

Subject of course

Presentations with physical attendance of students have to be cancelled.

We are working on alternatives like video recording or live stream. Stay tuned for updates and don't forget to watch for new material/assignments in TUWEL!



This course consists of 5 parts:

  1. Introduction to methodologies and paradigms
  2. Overview of formal methods
  3. Overview of quantitative methods
  4. Overview of qualitative methods
  5. Overview of design methods

Schedule:

March 3: Organizational issues

March 10: Introduction to Methodologies and Paradigms
March 17: Overview of Formal Methods
March 24: Overview of Formal Methods
March 31: Overview of Quantitative Methods
April 21: Overview of Quantitative Methods
April 28: Overview of Quantitative Methods
May 5: Overview of Qualitative Methods
May 12: Overview of Qualitative Methods
May 19: Overview of Design Methods
May 26: Overview of Design Methods
June 16: Overview of Qualitative Methods (date might be shifted)

Teaching methods

The respective teachers design their blocks differently.

Most often there is a lecture + discussion, supplemented by homework assignments in which a document and/or a talk is to be elaborated. That talk is then given in a later time slot.

Mode of examination

Immanent

Additional information

This is a Fundamental PhD Course of the Faculty of Informatics for doctoral students. 

First-year doctoral students are advised to take this course, as its content may help them to prepare their PhD proposal.

Doctoral students in Computer Science have admission priority to this course.

In case of general questions (which are not specific to one of the course parts) please contact
Andreas Steininger via e-mail: steininger@ecs.tuwien.ac.at.

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue16:00 - 19:0003.03.2020 - 10.03.2020Seminarraum FAV 01 C (Seminarraum 188/2) Fundamental Research Methods for Doctoral Students
Tue16:00 - 19:0028.04.2020 Overview of Quantitative Methods (A.Posekany)
Tue16:00 - 19:0005.05.2020 - 12.05.2020 Overview of Qualitative Methods (G.Fitzpatrick)
Tue16:00 - 19:0019.05.2020 Overview of Design Methods (S.Schulte)
Tue16:00 - 19:0026.05.2020 Overview of Design Methods (C.Huemer)
Tue16:00 - 19:0016.06.2020 Overview of Qualitative Methods (G.Fitzpatrick, date might be shifted)
Fundamental research methods for doctoral students - Single appointments
DayDateTimeLocationDescription
Tue03.03.202016:00 - 19:00Seminarraum FAV 01 C (Seminarraum 188/2) Fundamental Research Methods for Doctoral Students
Tue10.03.202016:00 - 19:00Seminarraum FAV 01 C (Seminarraum 188/2) Fundamental Research Methods for Doctoral Students
Tue28.04.202016:00 - 19:00 Overview of Quantitative Methods (A.Posekany)
Tue05.05.202016:00 - 19:00 Overview of Qualitative Methods (G.Fitzpatrick)
Tue12.05.202016:00 - 19:00 Overview of Qualitative Methods (G.Fitzpatrick)
Tue19.05.202016:00 - 19:00 Overview of Design Methods (S.Schulte)
Tue26.05.202016:00 - 19:00 Overview of Design Methods (C.Huemer)
Tue16.06.202016:00 - 19:00 Overview of Qualitative Methods (G.Fitzpatrick, date might be shifted)

Examination modalities

The course parts will be graded with an assignment for each part. The final grade is calculated as the average grade of the assignments.

Students will receive a positive grade only if the following requirements are fulfilled:

  • Attendance to the lectures (if attendance is not possible, if should be communicated via e-mail to the respective lecturer and C.Schmid via clarissa.schmid@tuwien.ac.at before the lecture).
  • positive grade in every course part
  • Submission of all assignments. The type of assignment will be defined by the lecturers. In case of written assignments these should be written in English and submitted via TUWEL. In case a presentation has to be done, attendance is compulsary on that date.

Course registration

Begin End Deregistration end
30.01.2020 00:00 03.03.2020 20:00

Registration modalities

Please register in TISS.

Curricula

Study CodeObligationSemesterPrecon.Info
784 165 Computer Management Mandatory elective
784 175 Business Informatics Mandatory elective
784 939 Business Engineering and Computer Science Mandatory elective
786 175 Business Informatics Mandatory elective
786 881 Computer Sciences Mandatory elective
791 881 Computer Sciences Mandatory elective
791 884 Subject: Informatics und Informatics Management Mandatory elective
PhD Vienna PhD School of Informatics Not specified

Literature

No lecture notes are available.

Miscellaneous

  • Attendance Required!

Language

English