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Pfad: VVZ SoSe 2024 > Verzeichnis der LV gegliedert nach Instituten und Abteilungen

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Nr. LV-Typ(en) LV-Titel
4173 PI Information Systems Project Governance and Management Blended-Modus
Anmeldung über LPIS
vom 07.02.2024 14:00 bis 11.02.2024 23:59
Abmeldung über LPIS
vom 07.02.2024 14:00 bis 15.03.2024 23:59

LV-Leiter/in Anita Neumannova, M.Sc.
Planpunkte Bachelor Information Systems Project Governance and Management
Semesterstunden 2
Unterrichtssprache Englisch

Termine
Mo, 18.03.2024 13:00-17:00 Uhr D3.0.225 (Lageplan)
Do, 25.04.2024 13:00-15:00 Uhr TC.2.03 (Lageplan)
Mi, 22.05.2024 13:00-15:00 Uhr TC.5.13 (Lageplan)
Do, 06.06.2024 13:00-17:00 Uhr P TC.3.05 (Lageplan)
Di, 11.06.2024 13:00-15:30 Uhr OP Online-Einheit
Termindownload (ical) | Termine abonnieren

Weitere Informationen https://learn.wu.ac.at/vvz/24s/4173

Kontakt:
anita.neumannova@wu.ac.at
Inhalte der LV:

This course aims at developing the following:

  • To consider critically the role of project governance and management within organisations and its value in achieving organisational objectives.
  • To provide a firm grounding in project governance and management.
  • To provide a firm grounding in the processes of defining, planning, managing and controlling resources (physical, technological, human and others) for the achievement of a focussed objective.
  • To consider the risks involved in digital transformations of organisations, and critically examine the problems of such organisational change projects.
  • To utilise techniques for the monitoring and the control of projects.
  • To improve cognitive skills, effective problem solving, effective communication, numerical and quantitative skills, effective use of tools, effective self-management, learning to learn, self awareness, effective teamworking, interpersonal and research skills.
  • To understand the specific requirements of IS/T projects within all taught sub-areas such as changing requirements, high technical complexities, high levels of uncertainty, etc.
Lernergebnisse (Learning Outcomes):

By the end of this course students should be able to

  • Assess and evaluate the factors that lay behind successful IS project governance and management techniques.
  • Appreciate and be able to discuss the range of IS project process design approaches.
  • Analyse the impact of resource constraints on achieving project goals.
  • Distinguish and describe the range of different techniques available in project governance and management.
  • Evaluate the effects of organisational issues on project management.
  • Apply theoretical insights from their courses to managing effective projects.
  • Understand the specific constraints, tools and mechanism of IS/T projects
Regelung zur Anwesenheit:

Attendance is required during all presence (synchronous) and self-study (asynchronous) sessions, as individual and group activities will take place during the sessions (a maximum of 20% absence is allowed).  

Attendance during the first unit is mandatory. Students who are not present during the first 30 minutes of the first unit of the course will be deregistered!

Additionally, attendance is mandatory for the sessions on 6th June 2024 (graded case study assessment) and 11th June 2024 (final exam).

 

Exceptions can be made in rare cases by prior agreement and with a reasonable cause (e.g., overlapping exams).

Lehr-/Lerndesign:

This course will be taught in a blended format (both on campus and through asynchronous self-study modules), where students can obtain fundamental knowledge of the topics covered in this course. Additional resources explaining complex parts will be provided on CANVAS. Discussions and group activities involving case studies are key elements of the learning and will be used to intensify the knowledge and foster the understanding of the theoretical foundations during on-campus sessions. Private learning is an elemental part for the asynchronous sessions.

During the first module, the lecturer will introduce the format of the course, the topics covered, and the scheduled assessments. The course content is structured in smaller modules including readings, videos, and presentations. Moreover, practical examples or similar methods are made available. For some previously announced modules, it is obligatory to familiarize with the topic and prepare theoretical input at home in order to be able to participate in the practical exercises and group work during the subsequent sessions.

As certain modules will be delivered asynchronously, students will be required to hand-in small assignments, which will assess their understanding of these modules and be considered as their participation in these sessions.

The lecturer will be available for questions after class or upon an appointment.

Leistung(en) für eine Beurteilung:

Graded assignments with assigned weights:

  • Digital transformation presentation: 20%
  • Case study presentation (with videos): 40%
  • Final exam: 40%

Non-graded assignments (accounting for asynchronous self-study sessions):

  • 4 assignments connected to specific modules

Grading scale:

  • 88-100 %: excellent (1)
  • 76-87 %: good (2)
  • 63-75 %: satisfactory (3)
  • 51-62 %: sufficient (4)
  • 0-50 %: insufficient (5)

Formative assessment will be based on self-learning, questions, discussions, activities, case studies, or homework in groups and individually. Private learning is considered as one of the elemental components of this course. Formal grading of work and learning outcomes will be provided for each assessment via CANVAS. The final written exam is mandatory to take to pass this course. The final exam will be conducted online. Specific information and the format of each assignment will be introduced during the first session.

Assignments handed in late will not be considered for grading.

Teilnahmevoraussetzung(en):

If you have a valid course registration but cannot attend this course, please deregister via LPIS during the deregistration period so that your spot can be made available to other students.

After the end of the registration period, students on the waiting list will be assigned. The allocation is not done according to the position in the waiting list, but according to the students' study progress.

Zuletzt bearbeitet: 29.11.2023 11:52

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