VOØ001 Project Management

Contents and structure

The course aims to provide candidates with a thorough understanding of key knowledge areas within project management. It is designed to enhance candidates' understanding, competence, and skills in the development, organization, and management of real projects.

Candidates will receive an introduction to the various phases of projects, management, organization, and leadership, as well as teamwork. There will be a balance between theoretical instruction and an introduction to concepts, methods, and tools, along with practical challenges that encourage collaboration, creativity, and a solution-oriented approach.

Through the application of theory, tools, and methods, candidates will develop skills in project management. Emphasis is placed on candidates' ability to discuss and reflect at a professional level. In addition, candidates should be able to develop and reflect on their own skills in teamwork, as well as practice oral presentations.

Learning Outcome

The candidate will, after completing and passing the course, possess:

Knowledge of:

• The significance of projects, value creation, and project success
• Project definition, as well as selection of implementation strategy and planning
• Project management and organization
• Leadership in projects, as well as team and team development
• Handling uncertainty, including identification, analysis, prioritization, and development of measures to address uncertainty factors
• Stakeholders and stakeholder management
• Learning and innovation in projects, as well as sustainability and ethics in project work
• Project closure

Skills:

• Describe theories and models for project management and apply them in practice
• Select and apply relevant analyses and models for a given project
• Communicate relevant professional knowledge to various stakeholders, both in writing, verbally, and visually, including the preparation of plan documents and reports
• Reflect on one's own professional practice

General competence:

• Collaborate in a team to create a common product
• Critically reflect on one's own professional practice and development
• Exchange and convey viewpoints and experiences with others in project work to contribute to the development of best practices

Entry requirements

None

Teaching methods

The methods of work will vary between lectures, group work, participant presentations, discussions, and practical exercises. The course is structured as weekend sessions, complemented by teamwork, including assignments between the sessions.

Compulsory learning activities

There are three mandatory coursework requirements in the subject. These will be made available on the learning platform. All coursework must be carried out in teams. The coursework must be approved in order to be eligible for the exam; they are assessed as pass/fail and are only valid for the current and subsequent semester.

The course is module based in 3 weekend gatherings. A maximum of 20 % undcocumented absence is allowed.

Assessment

Group-based written semester assignment with an adjusting oral examination. The semester assignment is assessed separately before the adjusting oral examination. The grade for the semester assignment may be adjusted up or down by one grade after the oral examination. The grade for the adjusting oral examination will be the final grade.

The grade after the oral examination can be assigned individually for each group member. The grading scale is A-F, where F indicates a fail.

The final grade in the course corresponds to the grade given in the adjusting oral examination.

Generer nytt svar

Kopier

Examination support material

All aids are permitted, with the following restrictions:

• Candidates must check the self-declaration box in WiseFlow before submission. By checking the self-declaration box, the candidate confirms that they are familiar with the regulations for studies and exams and the guidelines for handling cheating at HVL.

Candidates must disclose and refer to any use of artificial intelligence (AI). The semester paper must be written by the candidates who submit the paper, not by AI, as this would be considered cheating. However, AI can be used as support during the writing process, as a sparring partner, and similar. Please refer specifically to the chapters "On Writing and Referencing" and "Artificial Intelligence" on the page for the submission of home exams and assignments.

More about examination support material

Course reductions

• ØAA117 - Praktisk prosjektleiing - Reduction: 7.5 studypoints