Project Managements and Innovation in the Era of Big Data

A.Y. 2019/2020
6
Max ECTS
40
Overall hours
SSD
SECS-P/08
Language
English
Learning objectives
The course proposes a critical reflection on how the strategic use of Big Data shapes and informs project management and the overall business decision-making.

The course aims to provide students with conceptual grounds and frameworks for managing innovative projects by thinking analytically about the use of Big Data techniques.

Course learning objectives are the following:

Explain the challenges of managing projects by leveraging big data
Understand how big data analytics might improve project work
Discuss how structured/unstructured data affect project design, development and organization
Identify different theoretical approaches, methods and tools to project management and explain their assumptions
Assess the potential of different big data sources for the development of new business models
Expected learning outcomes
By the end of this course, students will acquire knowledge on project management fundamentals and the various project management techniques and principles. They will be able to critical appraise the opportunities and main challenges offered by Big Data and examine how the strategic use of Big Data might support decision making within businesses. The knowledge acquired will allow students to be able to explain and discuss the managerial complexity of a project and what can be gained if big data and analytics are applied to project management decisions.
Course syllabus and organization

Single session

Responsible
Lesson period
Third trimester
Course syllabus
The course aims to provide students with conceptual grounds and frameworks for managing innovative projects by thinking analytically about the use of Big Data techniques. The course will cover the following points:

· Explain the challenges of managing projects by leveraging big data
· Understand how big data analytics might improve project work
· Discuss how structured/unstructured data affect project design, development and organization
· Identify different theoretical approaches, methods and tools to project management and explain their assumptions
· Assess the potential of different big data sources for the development of new business models
Prerequisites for admission
Foundations of Management
Teaching methods
The course will combine traditional class lecture, interactive case based sessions and group presentation
Teaching Resources
Pinto, J.K. 2015. Project Management. Achieving Competitive Advantage. Pearson Education (4th edition)

The complete course program will be made available to students before the course starts
Assessment methods and Criteria
Written exam based on multiple choice questions and open-ended questions.
Duration: 60 minutes
SECS-P/08 - MANAGEMENT - University credits: 6
Lessons: 40 hours
Professor(s)
Reception:
By appointment on Microsoft Teams. Please book a free slot at the link below at least 24h ahead. A code will be sent to you to access Microsoft Teams.
Department of Economics, Management and Quantitative Methods. Room 22 - second floor