Business Information Sistems
A.Y. 2022/2023
Learning objectives
The aim of this course is to let the student appreciate the way that Information Systems (IS) can aid the realization of business objectives. In particular this course is aimed at providing:
· a critical understanding of role of IS in enabling business transformation;
· a critical understanding of some of the key issues in IS management;
· an understanding of why IS systems fail and approaches to counter these problems;
· a knowledge of several case studies in IS development and use.
· a critical understanding of role of IS in enabling business transformation;
· a critical understanding of some of the key issues in IS management;
· an understanding of why IS systems fail and approaches to counter these problems;
· a knowledge of several case studies in IS development and use.
Expected learning outcomes
· a critical understanding of role of IS in enabling business transformation;
· a critical understanding of some of the key issues in IS management;
· an understanding of why IS systems fail and approaches to counter these problems;
· a knowledge of several case studies in IS development and use.
· a critical understanding of some of the key issues in IS management;
· an understanding of why IS systems fail and approaches to counter these problems;
· a knowledge of several case studies in IS development and use.
Lesson period: Second semester
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
Second semester
Course syllabus
The program is organized in the following subtopics
+ Introduction
-- Information Systems in Organizations
-- Development Lifecycle
-- Knowledge Uplift Model
+ Performance Analytics
-- Performance Measures
-- Time Series Analysis
-- Queue Mining
+ Process Mining
-- Event Logs
-- Data Preparation
-- Variant Analysis
-- Process Discovery
-- Conformance Checking
-- Comparative Process Mining
+ Conclusions
-- Knowledge Uplift in Process Mining
-- Advanced Process Mining Techniques
+ Introduction
-- Information Systems in Organizations
-- Development Lifecycle
-- Knowledge Uplift Model
+ Performance Analytics
-- Performance Measures
-- Time Series Analysis
-- Queue Mining
+ Process Mining
-- Event Logs
-- Data Preparation
-- Variant Analysis
-- Process Discovery
-- Conformance Checking
-- Comparative Process Mining
+ Conclusions
-- Knowledge Uplift in Process Mining
-- Advanced Process Mining Techniques
Prerequisites for admission
Basic notions of Python are propaedeutic to the activities proposed in class.
Teaching methods
The topics of the course will be addressed through lectures, with the help of transparencies and teaching materials that the teacher will make available from time to time on the Ariel platform (https://pceravolobis.ariel.ctu.unimi.it).
During the lessons exercises and demonstrations will also be carried out to help the student's learning path. A lesson will be dedicated to exam simulation.
Attendance, although not mandatory, is strongly recommended.
During the lessons exercises and demonstrations will also be carried out to help the student's learning path. A lesson will be dedicated to exam simulation.
Attendance, although not mandatory, is strongly recommended.
Teaching Resources
Slides and exercises proposed in class.
The following textbooks are suggested:
Fundamentals of business intelligence
by Grossmann, Wilfried; Rinderle-Ma, Stefanie
Springer 2015
http://unimi.summon.serialssolutions.com/#!/document?id=FETCH-unimi_catalog_USM19143012
Process mining: discovery, conformance, and enhancement of business processes
by Aalst , Wil M. P. : van der
Springer 2011
http://unimi.summon.serialssolutions.com/#!/document?id=FETCH-unimi_catalog_USM18357592
Business Information Systems
by Mukerjee, Prithwis
https://businfosystems.wordpress.com/presentations/
The following textbooks are suggested:
Fundamentals of business intelligence
by Grossmann, Wilfried; Rinderle-Ma, Stefanie
Springer 2015
http://unimi.summon.serialssolutions.com/#!/document?id=FETCH-unimi_catalog_USM19143012
Process mining: discovery, conformance, and enhancement of business processes
by Aalst , Wil M. P. : van der
Springer 2011
http://unimi.summon.serialssolutions.com/#!/document?id=FETCH-unimi_catalog_USM18357592
Business Information Systems
by Mukerjee, Prithwis
https://businfosystems.wordpress.com/presentations/
Assessment methods and Criteria
The assessment consists of a written test on the topics presented in the course and an oral examination where a project is presented and discussed with the lecturer
Through the project, the student has to apply the methodologies and tools presented in class to a case study identified by the teacher.
The examination procedures for students with disabilities and/or with DSA must be agreed upon with the teacher and the competent Office. International or Erasmus incoming students are invited to contact the course teacher in a timely manner.
Through the project, the student has to apply the methodologies and tools presented in class to a case study identified by the teacher.
The examination procedures for students with disabilities and/or with DSA must be agreed upon with the teacher and the competent Office. International or Erasmus incoming students are invited to contact the course teacher in a timely manner.
Professor(s)