Project Management

Recommended Prerequisites

Programming, Databases, and essential skills on Software Engineering or Data Science. As classes and study materials are in English, a reasonable knowledge of English is recommended.

Teaching Methods

The teaching methodology is strongly based on the execution of a real project with a real client. Every week the professor meets with the team to assess progress in accordance with the objectives set in the previous week. In addition, there is a set of theoretic class, with base concepts on data science project management.

The rating is weekly and public, and feedback is given to students. The individual grades are based on the team achievements (baseline) and their individual contribution for that purpose (offset).

Learning Outcomes

The curricular unit addresses the techniques and best practices available for project management as an engineering activity, developing the following skills:

- Know and use the most relevant project management methodologies

- Understand the causes of project management failures and how to avoid them

- Use tools for managing project resources, risks, planning, and monitoring

- Develop a real project in teams of 8-12 elements with specific quality requirements, costs, and schedule restrictions

- Develop interpersonal relationship skills and distributed task management

- Communicate the development and results of an engineering project.

Work Placement(s)

No

Syllabus

1. Base Concepts
1.1. Systems Engineering
1.2. Lifecycles
1.3. Engineering processes
2. Scope Definition and Requirements Management
3. Projects Planning and Tracking
3.1. Effort Estimation
3.2. Risk Analysis
3.3. Planning
3.4. Monitoring
4. Acquisition and Contracting
4.1. Identifying Alternatives
4.2. Models for Decision Making
4.3. Models for Cost Assessment
5. Managing Customer Expectations
5.1. Communication
5.2. Decision Making
5.3. Negotiation
6. Team and People Management
6.1. Relationship Management
6.2. Conflict Management

6.3. Leadership
7. Managing Quality Assurance
8. Emerging Topics in Project Management

Head Lecturer(s)

João Nuno Lopes Barata

Assessment Methods

Avaliação
Resolution Problems: 10.0%
Synthesis work: 20.0%
Laboratory work or Field work: 70.0%

Bibliography

A Guide to the Project Management Body of Knowledge (PMBOK® Guide)

Publisher: Project Management Institute

Date Published: 2021

ISBN13: 978-1628256642     

 

The Software Project Survival Guide, Steve McConnell

Microsoft Press; 1 edition (October 15, 1997), 304 pages

ISBN-10: 1572316217

 

PM² Project management methodology

Publisher: Directorate-General for Digital Services (European Commission)

Date Published: 2023

ISBN: 978-92-68-10314-2

 

PM² Project management guide 1.0

Publisher: Directorate-General for Digital Services (European Commission)

Date Published: 2021

ISBN: 978-92-76-29635-5

 

The PM²-Agile guide 3.0.1

Publisher: Directorate-General for Digital Services (European Commission)

Date Published: 2021

ISBN: 978-92-76-39410-5