Management Science I

Guest Instructor: 
Linus Dahlander (ESMT)
Gianluca Carnabuci (ESMT)
Time I: 
Thursday,
09:00am to 12:00pm
Venue I: 
ESMT, Schlossplatz 1
Description: 

Please see schedule attached.

Management Science I, Part 1: Instructor: Francis de Vericourt, ESMT
Topic: Sequential Decision Making Under Uncertainty - With Applications to Operations and Management Sciences

This course is concerned with situations in which decisions are made sequentially. The fundamental tradeoff at stake consists in balancing immediate reward with unpredictable future rewards. These situations can be found in a wide variety of areas ranging from marketing (e.g. dynamic pricing) to the environment (e.g. water management). In this course, we will primarily focus on applications in the field of management science.
The approach is based on Markov decision processes and more generally (stochastic) Dynamic Programming, which provides a set of general methods for making sequential decisions under uncertainty.

Management Science I, Part 2: Instructors: Matthew Bothner, Gianluca Carnabuci, and Linus Dahlander, ESMT
Topic: The Analysis of Economic and Social Networks

The theories and methods of social network analysis have increasingly been harnessed to better understand a diverse array of topics, such as the spread of obesity, the diffusion of innovations, mobility and risk-taking behavior in tournaments, and brokerage and status positions in markets. This course offers an introduction to the theoretical perspectives and quantitative methods of the network-analytic tradition. A number of key concepts will be introduced, together with opportunities to apply corresponding methods and approaches to measurement using data made available in class. The literature on networks is approached with two goals in mind: (1) to understand the foundations of social network theory and (2) to apply methods.

Credits: 
9.00
Program: 
Semester: 
Fall 2016
End date of the whole course: 
Thursday, February 16, 2017 - 12:00pm