PORTALE DELLA DIDATTICA
1
ENGINEERING
Course outline
 
Course description
 
Programme syllabus
 
Guide for Students
 
Degree Programme Regulation
 
Department
 
Collegio
 
Results of assessment questionnaires (C.P.D.)
 
Level of satisfaction of graduating students (AlmaLaurea)
 
Employment condition (AlmaLaurea)
 
Admission requirements
 
Final exam
 
SERVICES TO STUDENTS
Services
 
Tuition fees
 
Organization of academic structures
 
Students' representatives
 
Teaching staff
 
Examination sessions
 
ADDITIONAL SERVICES
Decentralized structures to support students (SDSS)
 
Streaming - on-line courses
 
FURTHER INFORMATION
SUA-CdS Information Model
 
Glossary en-it
 
MATHEMATICS FOR ENGINEERING, Laurea (1st degree and Bachelor-level of the Bologna process)
Academic Year 2020/21
DEPARTMENT OF MATHEMATICAL SCIENCES
Collegio di Ingegneria Matematica
Campus: TORINO
Program duration: 3 years
Class L-35 Degree: MATHEMATICS
Reference Faculty
BERRONE STEFANO   coord.matematica@polito.it
Program held in Italian
The first year is common to other graduate programs and is also offered in English Language
The first year is common to other graduate programs and is also offered in streaming
SDSS service is available
 Educational objectives

All students follow the same course programme (with no specific orientations or elective curriculum), although they are allowed some choice in the engineering subjects to which they can apply the mathematical knowledge acquired in the other courses. This interdisciplinary approach is highlighted by the strong interconnection between the following three areas: - The scientific background, including the scientific basis and the methodological-op... More...

All students follow the same course programme (with no specific orientations or elective curriculum), although they are allowed some choice in the engineering subjects to which they can apply the mathematical knowledge acquired in the other courses. This interdisciplinary approach is highlighted by the strong interconnection between the following three areas:
- The scientific background, including the scientific basis and the methodological-operative aspects of mathematics and basic sciences (physics, chemistry and information science). The courses are taught in the first half of the programme (first year and first semester of the second year) and are held jointly with the other Industrial Engineering degree programs at Politecnico di Torino.
- Mathematical and informatic methods, with a particular focus on their applications to engineering questions. Students will be introduced to the problems of scientific calculation and the formulation of mathematical models, their analytical study, stochastic and deterministic approaches, and statistical treatment of data and results.
- The engineering groundwork on which the mathematical knowledge acquired will be applied.

I relativi insegnamenti permetteranno di acquisire il know-how indispensabile per comprendere il problema ingegneristico e poterlo tradurre in termini matematici e numerici. In questo modo sarÓ possibile dedurre il modello matematico relativo allo specifico problema applicativo, identificare il metodo numerico e/o statistico opportuno per la simulazione e/o l'analisi dei dati e dare unarappresentazione del risultato che sia intellegibile anche a persone non esperte delle tecniche matematiche soggiacenti.

Students also have the opportunity to choose additional courses within the University offering to enhance and further their preparation, including subjects in the fields of economics and human sciences.
Among the training objectives are an adequate knowledge of scientific method and mastery of physics and informatic methodologies, the ability to construct rigorous experiments based on past experiments, and the ability to take problems formulated in everyday language, translate them into mathematical problems and propose suitable solutions.
Before graduating students must provide certification of their knowledge of English (IELTS with a score of 5 or higher, or an equivalent qualification).
The programme concludes with a final examination concerning a project undertaken independently by the student, and includes preparation of a final dissertation.
Graduates will be prepared for immediate entry into the working world, or for further study towards a MSc degree in Engineering Mathematics or other engineering disciplines.

 Career opportunities

The degree course in Mathematical Engineering has the objective of training a professional with both solid mathematical knowledge and the ability to interact with engineers and other operators in technological innovation in order to offer appropriate mathematical solutions to applicative problems. The programme brings together two educational areas, providing a solid grounding in basic mathematics, and the engineering background needed for unders... More...

The degree course in Mathematical Engineering has the objective of training a professional with both solid mathematical knowledge and the ability to interact with engineers and other operators in technological innovation in order to offer appropriate mathematical solutions to applicative problems. The programme brings together two educational areas, providing a solid grounding in basic mathematics, and the engineering background needed for understanding and formulating engineering problems. As a result, the student acquires sound knowledge of mathematics as well as of basic engineering subjects.

The programme is the same for all students (with no specific orientations or elective curriculum), while nevertheless allowing students some choice about the engineering subjects to which they can apply their mathematical knowledge.
This interdisciplinary approach is highlighted by the strong interconnection between the following three areas:
- basic sciences, containing the scientific fundamentals and methodological-operative aspects of mathematics and basic sciences (physics, chemistry and computer science). The relative courses are taught in the first half of the programme (first year and first semester of the second year), and are held in common with the other degree courses in industrial engineering at the Politecnico di Torino;
- mathematics and computer science, always focusing on their applications to engineering problems. Topics will include scientific computing and formulation of mathematical models, their analytical study, stochastic and deterministic approaches, and statistical treatment of data and results;
- basic engineering, where the acquired mathematical knowledge will be applied.

Part of the training objectives are adequate knowledge of scientific method and mastery of physics and computer science methods, the ability to construct rigorous mathematical procedures along the lines of known ones, the ability to translate into mathematical terms problems formulated in common language and to propose appropriate solutions.
To obtain the degree, certified knowledge of English is required (IELTS score of 5 or higher, or equivalent certification).
The programme concludes with a final examination concerning a project carried out individually by the student, with preparation of the relative dissertation.
This degree provides adequate preparation both for immediate job placement as an applied mathematician, or to continue studies and obtain a MSc degree, in Mathematics, in Mathematical Engineering, or in other engineering disciplines.

Graduates in engineering mathematics can work in research and development, for example in the fields of mechanical, aerospace, energy, and computer science, and in engineering departments of public and private institutions.
Graduates may also be involved in groups for mathematical simulation and modeling and statistical data analysis, collaborating on designing new technologies, on analyzing the behaviour of highly complex systems, and in developing new management strategies.

The Study program qualifies the following professional profile/s: Roles and skills:
Applied mathematician   JOB ROLES:

This figure is able to give adequate mathematical treatment to engineering problems, using methodologies offered by various areas of Applied Mathematics.


SKILLS RELATED TO THE ROLE:

- Operates in the design phase by identifying the mathematical model to be used on the basis of the analysis and understanding of the specific problem .
- Analyses the mathematical model for the solution of the specific application problem.
- Applies mathematical and computing methods adequate for the level of depth required by the importance and difficulty of the problem to be solved.

CAREER OPPORTUNITIES:

- Industrial goods manufacturing companies
- IT Companies
- Engineering companies specialized in simulation.
 
Statistician   JOB ROLES:

This is a researcher who can support an academic researcher (engineer, doctor, biologist) in the execution and analysis of lab experiments and in observational research activities.
This is a valid assistance figure to the management of an industrial, commercial or research company.


SKILLS RELATED TO THE ROLE:

- Manages and organizes data sets to be analysed rationally to draw descriptive or inferential conclusions that might be useful for the company.
- Builds the needed databases with planned experiments, surveys, market research or web browsing.

CAREER OPPORTUNITIES:

- Industrial goods manufacturing companies
- Banks
- Insurance companies
 


Qualifications for further studies Knowledge required to continue studies
   

 Expected learning outcomes

Graduates in Mathematics for Engineering: - have good basic knowledge in mathematics; - have good computational and computer skills; - are able to understand and use mathematical models and descriptions of real situations of scientific or economic interest; - have a certified knowledge of English (IELTS with a score equal to or greater than 5, or equivalent certification) in the specific field of competence and for the exchange of general... More...

Graduates in Mathematics for Engineering:
- have good basic knowledge in mathematics;
- have good computational and computer skills;
- are able to understand and use mathematical models and descriptions of real situations of scientific or economic interest;
- have a certified knowledge of English (IELTS with a score equal to or greater than 5, or equivalent certification) in the specific field of competence and for the exchange of general information;
- have adequate skills and tools for communication and information management;
- they are able to work in a team, to work with various levels of independence and quickly fit in working environments.

The subjects contained in the study program are divided in learning areas and defined by the "Dublin descriptors" shown in the chart on panel A4b - expected learning outcomes.



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