Syllabus
Registration via LPIS
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.
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
Attendance is required during all presence (synchronous) and self-study (asynchronous) sessions, as individual and group activities, will take place during the sessions. The attendance for asynchronous sessions will be taken through learning activities. To learn more about blended format courses and attendance requirements, students are encouraged to read further information here. A maximum of 20% absence is allowed - i.e., missing ONE session (either synchronous or asynchronous).
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 during the last two sessions of this course as graded case study presentations and final exam will take place.
Exceptions can be made in rare cases by prior agreement and with a reasonable cause (e.g., overlapping exams).
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 of the asynchronous sessions.
The use of AI tools in this course is partially permitted: AI tools (e.g., ChatGPT Gemini) may be used for doing research on certain topics (e.g., digital transformation assignment), but not with the development of written or discussion assignments (e.g., text, reflections, etc.). For the correction of grammar or writing styles, students are encouraged to use the help of DeepL or Grammarly. However, the use of AI tools needs to be ethical and transparently disclosed, as per the WU Code of Conduct. In all cases, please identify in a short sentence, if you have used AI tools, how/what for you used them, and cite them properly. This is important as all assignments will be checked for plagiarism and use of AI.
Graded assignments with assigned weights:
- Digital transformation (group based): 20%
- Case study (group based): 40%
- Final exam (individual): 40%
Grading scale:
- 88-100 %: excellent (1)
- 76-87 %: good (2)
- 63-75 %: satisfactory (3)
- 51-62 %: sufficient (4)
- 0-50 %: insufficient (5)
Learning activities (accounting for attendance of asynchronous sessions and not counted towards the final grade):
- 3 self-study assignments connected to specific modules
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 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.
If you have a valid course registration but are unable to attend this course, please deregister via LPIS during the registration period so that your course place is available to other students!
During the registration period, places are allocated on a first-come-first-served basis. After the end of the registration period, available course places will be increased and allocated to students on the waiting list who do not yet have a valid registration for the course based on the study progress.
Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.
No prior knowledge is required. However, general interest and basic knowledge of information systems is strongly recommended.
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