Project Managements and Innovation in the Era of Big Data
A.Y. 2021/2022
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
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.
Lesson period: Third trimester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Lesson period
Third trimester
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
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
None
Teaching methods
The course will combine traditional class lecture, interactive case based sessions, individual and group presentations.
Teaching Resources
Materials for attending students:
Handouts presented during the lessons (shared on Teams from time to time)
List of core readings (shared on Teams from time to time).
Materials for non-attending students:
Pinto, J.K. 2015. Project Management. Achieving Competitive Advantage. Pearson Education (Chapters: 1 to 10, 13, 14 - book's case studies excluded),
Core readings as detailed in the Syllabus
Handouts presented during the lessons (shared on Teams from time to time)
List of core readings (shared on Teams from time to time).
Materials for non-attending students:
Pinto, J.K. 2015. Project Management. Achieving Competitive Advantage. Pearson Education (Chapters: 1 to 10, 13, 14 - book's case studies excluded),
Core readings as detailed in the Syllabus
Assessment methods and Criteria
Attending students
The exam is in written form and consists of a specific questions tests in multiple choices formula and in a development of the group projects as part of the exam
Non-attending students
Oral exam
The exam is in written form and consists of a specific questions tests in multiple choices formula and in a development of the group projects as part of the exam
Non-attending students
Oral exam
SECS-P/08 - MANAGEMENT - University credits: 6
Lessons: 40 hours
Professor:
Bovo Marianna