With this function you can construct your weekly calendar of lessons, which is customized on the basis of the courses that you intend to follow. Warning: the personal schedule does not replace the presentation of the study plan! It's an informal tool that can help you better manage the organization of class attendance before the study plan presentation. After the study plan presentation we recommend you to use the Lecture timetable service in your Online Services.
To create your customized schedule follow these instructions:
- Click on the "Enable" link to proceed. You will be asked your surname and first name in order to determine your alphabetic grouping.
-
To add or remove courses from your personal schedule, use the small icons which are found next to the courses:
- addition of the course
- removal of the course
- selection of the section of the Laboratory of Architecture
(Note: the effective area in which the teaching will be carried out will be determined after the presentation of the Study Plans)
-
The sidebar on the left displays the number of lessons included in schedule.
There are also these commands:
- View the schedule: allows the viewing of the weekly synoptic schedule
- Delete the schedule: cancels the selections made
When you have finished the entry, you can print the calendar you have made.
Semester (Sem) | 1 | First Semester | 2 | Second Semester | A | Annual 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
|
|
Academic Year
|
2018/2019
|
School
|
School of Industrial and Information Engineering
|
Name
|
(Master of Science degree)(ord. 270) - BV (479) Management Engineering
|
Track
|
EEM - ENERGY AND ENVIRONMENTAL MANAGEMENT
|
Programme Year
|
2
|
ID Code
|
052911
|
Course Title
|
APPLIED STATISTICS
|
Course Type
|
Mono-Disciplinary Course
|
Credits (CFU / ECTS)
|
5.0
|
Semester
|
First Semester
|
Course Description
|
The course aims to introduce students to statistical data analysis. It is intended to provide basic knowledge of inferential statistics. The first part of the course will be devoted to the study of the probabilistic language. The main topics of the course will be: point estimation, hypothesis testing, multiple regression and analysis of variance.
Program:
Elements of probability: Random vectors, joint distribution functions, joint and marginal probability density functions. Mean, variance, covariance, correlation. Estimation and hypothesis testing: Point and interval estimation, sampling distributions from a normal population, tests, type I and type II errors, size and level of the test, power function, p-value. Tests on the mean and the variance of a normal population. Test on a proportion. Inference for the differences between two normal means, between two proportions and for the ratio between two variances of normal populations. Regression: Multiple regression, least square estimation, confidence interval and hypothesis testing concerning the regression coefficients, prediction of a future response, coefficient of determination and adjusted R2, analysis of residuals: assessing the model. Introduction to the analysis of variance.
|
Scientific-Disciplinary Sector (SSD)
|
Educational activities
|
SSD Code
|
SSD Description
|
CFU
|
--
|
SECS-S/01
|
STATISTICS
|
5.0
|
|
Innovative teaching
|
The course includes 1.0 credits in Innovative Teaching as follows:
- Blended Learning & Flipped Classroom
|
Schedule, add and remove | Alphabetical group | Lecturer(s) | Language | Teaching Assignment Details |
---|
From (included) | To (excluded) |
---|
--- | A | ZZZZ | Secchi Piercesare | | |
|
|