Unit
- Course
- Mechanical engineering
- Study-unit Code
- A002370
- Curriculum
- Gestionale
- Teacher
- Andrea Fronzetti Colladon
- Teachers
-
- Andrea Fronzetti Colladon
- Hours
- 72 ore - Andrea Fronzetti Colladon
- CFU
- 9
- Course Regulation
- Coorte 2021
- Offered
- 2022/23
- Learning activities
- Affine/integrativa
- Area
- Attività formative affini o integrative
- Academic discipline
- ING-IND/35
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian
- Contents
- The course is organized into two interconnected teaching modules: that of business management and that of business analytics meant to support managerial decisions.
- Reference texts
- Jackson, M. O. Social and Economic Networks. Princeton University Press.
Elective reading:
- Brown, T. Change by Design, Revised and Updated. ¿Harper Business
- Verganti, R. Overcrowded: Designing Meaningful Products in a World Awash with Ideas. The MIT Press.
All the materials made available by the teacher on the Unistudium platform are part of the course and their study is necessary to pass the final exam. They are provided in addition to the textbooks listed here. The instructor will suggest several other readings during the course. - Educational objectives
- Students learn the basics of Social Network Analysis, in combination with other methods and tools – for example of Text Mining –, always applied to economic and business contexts. The course has a theoretical part, complemented by exercises and the learning of specific software.
The second module is about business management and includes the study of:
- Leadership;
- Management of working groups;
- Communication techniques and problem solving for change management;
- Design thinking and the "agile" philosophy applied to management and new product/service development. - Prerequisites
- There are no mandatory classes to undertake before this one.
- Teaching methods
- Lectures, hands-on tutorials, case studies, and flipped classroom. Class attendance is highly recommended.
- Other information
- More information available on the university web platform Unistudium (look at the course page).
- Learning verification modality
- Oral examination. During the exam, the students will also present a project they have worked on. More information available on the Unistudium web platform.
- Extended program
- Part I: Business Analytics
- Introduction to Social Network Analysis and complex systems
- Network relationships and data collection
- Centrality measures
- Random networks, small-world and scale-free
- Clustering and structural holes
- Network communities
- Key roles in knowledge exchange networks
- Robustness and resilience
- Introduction to diffusion models
- Autocorrelation and QAP
- Introduction to big data analytics
- Honest signals
- Semantic Brand Score
Part II: Business Management
- Problem solving
- Change management
- Leadership
- Teambuilding
- Design Thinking for business strategy and innovation
- Agile Leadership Principles and Practice
Software:
- SBS BI, Pajek and Gephi.
Both modules include case studies and practical exercises.
A more detailed program is provided by the teacher on the Unistudium platform.