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 | | C | Similar or integrative 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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2017/2018
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School
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School of Civil
Environmental and Land Management Engineering
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Name
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(Master of Science degree)(ord. 270) - MI (489) Environmental and Land Planning Engineering
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Track
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M2D - MONITORAGGIO E DIAGNOSTICA AMBIENTALE
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Programme Year
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1
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ID Code
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089112
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Course Title
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STATISTICAL MODELS AND STOCHASTIC PROCESSES
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Course Type
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Mono-Disciplinary Course
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Credits (CFU / ECTS)
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6.0
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Semester
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First Semester
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Course Description
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Statistical model, parametric and non parametric cases; random sample, definition of statistic. Estimators, mean square error, unbiased estimators; consistent estimators. Sample moments; sample mean and sample variance. Sampling from normal populations and related distribution functions. Construction of estimators: the method of moments and the maximum likelihood method. Invariance and asymptotic properties for maximum likelihood estimators. Confidence intervals and bounds; significance level and confidence coefficient. Interval estimates for the mean and the variance in the case of a normal population, for the proportion in the case of a Bernoulli population, for parameters of a generic population in the case of large samples. Statistical hypotheses; two-hypotheses testing; error types. Non-randomized tests; critical region; power function and test amplitude; uniformly most powerful tests. Test statistics; observed size or p-value. Tests for the mean and variance in normal populations (z-test, t-test, Fisher-Snedecor test). The chi square test. Normality tests. Examples and applications. Linear statistical model. Regression. Prevision models. Least square method. Linear statistical models. Simple and multiple linear regression. Inference on the regression parameters; confidence intervals and tests. Prediction. Residue analysis and model evaluation. Examples and applications. Random processes Definition of a random process, finite dimensional distributions, mean value function and covariance function. Montecarlo's Method. Markov processes; definitions and main properties. Homogeneous Markov chains with discrete parameter. One-time probability distributions; n-step transition probabilities. Equilibrium distributions. Waiting times, mean waiting times and relation with the equilibrium distribution. Examples and applications.
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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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C
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MAT/06
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PROBABILITY AND STATISTICS
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6.0
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| Schedule, add and remove | Alphabetical group | Lecturer(s) | Language | Teaching Assignment Details |
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| From (included) | To (excluded) |
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| --- | A | ZZZZ | Epifani Ilenia | |  |
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Details 
Class schedule planning