logo-polimi
Loading...
Degree programme
Programme Structure
Show/Search Programme
Course Details
Save Document
Degree Programme
Read Degree Programme
Quantitative data
Faculty
Infrastructures
International context
Customized Schedule
Your customized time schedule has been disabled
Enable
Search
Search a Lecturer
Search a Course
Search a Course (system prior D.M. n. 509)
Search Lessons taught in English

Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2020/2021
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - BV (479) Management Engineering
Track IM - INDUSTRIAL MANAGEMENT
Programme Year 2

Course Details
ID Code 055894
Course Title NUMERICAL APPROXIMATION OF MATHEMATICAL MODELS AND APPLICATIONS
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester First Semester
Course Description "The primary aim of this course is to give an introduction to some basic aspects in numerical modeling of problems relevant for Management Engineering, such as decision-making applications and business strategies. Laboratory sessions and team projects carried out by small groups of students during the course complement the theoretical lectures and provide the students with a practical "hands-on" training. The secondary (but not less important) aim of the course is to train students to use a widely spread programming language as Matlab for algorithm development and numerical computations. Students will also learn to apply numerical models to mathematical problems stemming from real world applications and critically interpreting the results. Blended learning and flipped class innovative teaching methods will be exploited through the course to allow students to improve specific communication and soft skills such as problem solving, critical thinking and teamwork skills. As a matter of fact, students are required to work in team on a real project whose results will be shown to the class by the end of the course."
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
--
MAT/08
NUMERICAL ANALYSIS
5.0

Schedule, add and removeAlphabetical groupLecturer(s)LanguageTeaching Assignment Details
From (included)To (excluded)
---AZZZZAntonietti Paola Francesca
manifesti v. 3.7.7 / 3.7.7
Area Servizi ICT
16/03/2025