Analytics for Complex Organizations
A.Y. 2019/2020
Learning objectives
Students of this course will acquire a basic knowledge of the use of data within complex organizations to analyze, diagnose, and interpret events, processes and outcomes; a general knowledge of the basics of organization theory, organization design and human resource management processes; the fundamentals of data management and social network analysis
Expected learning outcomes
Students will be able to identify data sources and structure data collection in order to understand the basic organizational processes and to manage human resources through adequate data analytics.
Lesson period: First 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
Responsible
Lesson period
First trimester
Course syllabus
The determinants of analytics in organizations. Structural measures and social networks
Prerequisites for admission
Statistical analysis methods and techniques
Teaching methods
Lectures
Exercises
Case studies
Exercises
Case studies
Teaching Resources
G. Pease, B. Byerly, J. Fitz-enz, Human Capital Analytics: How to Harness the Potential of Your Organization's Greatest Asset, Wiley. For the second module the textbook is Pietro Garibaldi "Personnel Economics in Imperfect Labour Markets", Oxford University Press, chapters 3 to 11.
Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications, New York, NY: Cambridge University Press. (Chapters 1-9).
Kilduff, M., & Tsai, W. (2003). Social Networks and Organizations. London, UK: Sage Publications. (Chapters 1-4).
Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications, New York, NY: Cambridge University Press. (Chapters 1-9).
Kilduff, M., & Tsai, W. (2003). Social Networks and Organizations. London, UK: Sage Publications. (Chapters 1-4).
Assessment methods and Criteria
Written test
INF/01 - INFORMATICS - University credits: 9
Lessons: 60 hours
Professors:
Nedkovski Vojkan, Solari Luca
Shifts:
-
Professors:
Nedkovski Vojkan, Solari LucaProfessor(s)
Reception:
To meet me send an email to [email protected]
Room #16 Department of Social and Political Sciences