Business Information Sistems
A.Y. 2024/2025
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 can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
Course syllabus
The program is organized into the following subtopics
+ Value of Information
- Systems design
- Knowledge Uplift Model
+ Process Analytics
- Organisational goals
- Process Models
- Performance Measures
+ Process Mining
- Event Logs
- Variant Analysis
- Performance Analysis
- Process Discovery
- Conformance Checking
- Comparative Process Mining
+ Value of Information
- Systems design
- Knowledge Uplift Model
+ Process Analytics
- Organisational goals
- Process Models
- Performance Measures
+ Process Mining
- Event Logs
- Variant Analysis
- Performance Analysis
- Process Discovery
- Conformance Checking
- Comparative Process Mining
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
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
Assessment methods and Criteria
The exam will be held in one call, divided into two tests.
Practice test: An exercise will be assigned 72 hours before the date of the roll call. Students who wish to participate should complete the exercise and submit it to the lecturer on the day of the roll call. Completing the exercise is a prerequisite for taking the roll call. The objective of the practical test is to demonstrate the ability to design a solution using the technologies covered in class and meeting the requirements specified in the exercise. The evaluation of the exercise will take place through an oral test, during which the student will present a brief report to the lecturer to illustrate the proposed solution and the code developed.
General test: The general test consists of a written test, aimed at assessing the student's understanding of the topics covered during the course.
The final grade will be calculated by combining the scores obtained in the two tests.
Practice test: An exercise will be assigned 72 hours before the date of the roll call. Students who wish to participate should complete the exercise and submit it to the lecturer on the day of the roll call. Completing the exercise is a prerequisite for taking the roll call. The objective of the practical test is to demonstrate the ability to design a solution using the technologies covered in class and meeting the requirements specified in the exercise. The evaluation of the exercise will take place through an oral test, during which the student will present a brief report to the lecturer to illustrate the proposed solution and the code developed.
General test: The general test consists of a written test, aimed at assessing the student's understanding of the topics covered during the course.
The final grade will be calculated by combining the scores obtained in the two tests.
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professor:
Ceravolo Paolo
Shifts:
Turno
Professor:
Ceravolo PaoloProfessor(s)