Project Managements and Innovation in the Era of Big Data

A.Y. 2020/2021
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
Metodi didattici
The course combines synchronous virtual lectures using Microsoft Teams and some asynchronous recorded lectures.
Both synchronous and asynchronous lectures will be video recorded and made available to students on Ariel

Programma e materiali di riferimento
The program will not undergo changes

Modalità di verifica dell'apprendimento e criteri di valutazione
Oral exam on Microsoft Teams
Course syllabus
The course prepares students to be able to reflect on the role of data for business innovation.
The course focuses on the challenges of managing projects by leveraging big data and how big data might improve project work.

The course covers three main areas:
1. The key issues of using Big Data for businesses decision-making and innovation
2. The role of innovation in shaping new forms of organizing and how digital innovations lead to
the emergence of new organizational forms and new institutional infrastructure
3. Managing projects in the big data era, the nature of project-based organizations and the role of
projects as engine for innovation
Prerequisites for admission
Foundations of Management
Teaching methods
The course will combine traditional class lecture, interactive case based sessions, individual and group presentations.
Teaching Resources
Attending students
- Davies. A. 2017. Projects: A Very Short Introduction. Oxford University Press.
- Core readings available on Ariel.

Non-attending students
- Pinto, J.K. 2015. Project Management. Achieving Competitive Advantage. Pearson Education
(Chapters: 1 to 10, 13, 14)
- Core readings available on Ariel.
Assessment methods and Criteria
Attending students
Oral exam. Students are also expected to prepare group and individual presentations

Non-attending students
Oral exam
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