COMPUTER SCIENCE AND STATISTICS FOR ENGINEERING
- Overview
- Assessment methods
- Learning objectives
- Contents
- Delivery method
- Teaching methods
- Contacts/Info
The basics of mathematical analysis A are assumed to be well known
The learning assessment is divided into a written test in which you are asked to answer simple questions on theoretical topics and solve one or more simple problems using the tools learned in class and relating to the entire program carried out. An optional oral test relating to the entire program to integrate the written grade.
The topics covered in the seminars are an integral part of the program and subject to examination.
The delivery of the exercises carried out in the classroom allows to add up to 3 points to the final grade.
To pass the exam, the student must demonstrate adequate theoretical knowledge of all the topics covered by demonstrating mastery of the topics, ability to analyze and solve practical questions using the tools studied.
In the answers the correct use of the tools learned as well as the completeness of the analysis and synthesis in the presentation of the topics also using diagrams will be evaluated. The exam is passed with a minimum score of 18 out of 30 (the home essay does not contribute to exceeding the threshold for passing).
AIM OF THE COURSE
The main objective of the course is to provide the main knowledge so that students acquire the ability to use statistical and information technology tools for the analysis of data and the study of physical phenomena relating to safety as well as the basis for the use of CAD systems for the design and study of systems.
The basis for the calculation of probability and the use of statistical tools for data analysis and the study of phenomena will be taught. Alongside the theoretical part, knowledge will be provided for the use of the main information technology tools for data analysis and process study (spreadsheets, Matlab and statistical software, CAD).
EXPECTED LEARNING OUTCOMES
At the end of the course, the student will be able to:
1. Use the information technology tools learned;
2. Study data and phenomena using appropriate analysis methods
3. Analyze data and phenomena using information technology tools
4. Know how to use statistical analysis, measurements and probability concepts acquire a precise and adequate technical language to describe the topics addressed;
5. use of CAD tools
STATISTICS (16h)
• hints of Boolean algebra and probability (simple and compound), distributions and characteristic quantities (mean, median, mode, variance)
• statistical tests (hypothesis and p-value testing)
• Measurements (measurand and uncertainty, uncertainty bar, linear and logarithmic scale)
• Design of Experiments techniques (full factors and DOE)
COMPUTER SCIENCE (24h)
• Use of CAD systems for engineering
• Use of Excel for data analysis
• Use of Matlab for simulation and data analysis, typical instructions of programming languages (if - else, for, while)
• Use of R for statistical analysis
• Data interpolation tools and methods
• Tools for finding the minimum (linear least squares, optimization (genetic and Simplex algorithms, Pareto diagram)
• Tools for solving differential equations
EXAMPLES (8h)
• Analysis of measurements and comparison of data series
• Drawing with CAD systems and simulation of phenomena
Frontal teaching with practical lessons in the computer room.
Classroom seminars held by experts.
Classroom exercises with the teacher.
Students can meet with the professor in her office or in teams by previous email appointment (elisabetta.sieni@uninsubria.it)
TEXTS
Slide of the lessons: downloadable from the e-learning website
Material indicated by the teacher and downloadable from internet pages or from the e-learning website