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.
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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)
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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 | Educational activities | | A | Basic activities | 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
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Academic Year
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2014/2015
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School
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School of Industrial and Information Engineering
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Name
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(Bachelor of Science degree)(ord. 270) - MI (358) Engineering of Computing Systems
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Track
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I1A - Non diversificato
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Programme Year
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2
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ID Code
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085902
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Course Title
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PROBABILITY AND STATISTICS
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Course Type
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Mono-Disciplinary Course
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Credits (CFU / ECTS)
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10.0
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Semester
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First Semester
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Course Description
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Introduction The most frequent probability models: validation.
Descriptive statistics Quantitative e qualitative variable; graphical descriptions of data; fre-quency distribution; box plot; bivariate case, least squares means.
Probability Combinatorics. Sample space event space, sigma algebras. Conditional probabil-ity and independence of events, reliability.
Random variables Special random variables; discrete case: Bernoulli, binomial, geometric, hypergeometric, Poisson; continuous case: uniform, exponential, gamma, normal. Moment-generating functions, Tchebysheff inequality. Function of random variables.
Random vectors Cumulative distribution function, independent random variables. Multino-mial normal distribution. Conditional distributions.
Sampling The Central Limit Theorem, the normal approximation. Weak law of large numbers, the variables chi-square, t-student, Cauchy, Fisher. Short introduction to Monte Carlo meth-ods.
Estimation Point estimation and intervals estimation for normal and Bernoulli populations.
Hypothesis testing Parametric testing for parameters of normal and Bernoulli distributions. Nonparametric testing: goodness of fit, Kolmogorv-Smirnov, q-q plot, Shapiro-Wilk. Test of independence
Linear models and estimation Method of least squares, inferences concerning parameters, predicting a particular value of y using simple linear regression. Multiple linear regression model, fitting the linear model by using matrices, the projection matrix.
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Scientific-Disciplinary Sector (SSD)
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Educational activities
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SSD Code
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SSD Description
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CFU
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A
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MAT/06
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PROBABILITY AND STATISTICS
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10.0
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Details 
Class schedule planning 