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 | 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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2020/2021
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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) - BV (350) Aerospace Engineering
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Track
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AER - Ingegneria aerospaziale
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Programme Year
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1
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ID Code
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095042
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Course Title
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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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6.0
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Semester
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Second Semester
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Course Description
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Descriptive statistics. Frequency distributions, histograms, box-plots. Mean, median, mode. Variance. Chebichev's inequality. Percentiles, InterQuartile Range.
Random variables and probability. Continuous r.v.'s. Uniform, Normal and exponential distributions. Discrete r.v.'s. Binomial and Poisson distributions. Independence. Central Limit Theorem.
Point estimation and test. Unbiased estimators. Mean square error. Tests. Type I error. z-test for the mean of a Normal. P-value. Sample size and type II error. CI for the mean of a Normal: variance known. t-test and confidence intervals for the mean of a Normal distribution: variance unknown. Tests and confidence intervals for two means. Chi-squared test for the variance of a Normal. t-test for paired data.
Linear models.Simple linear regression and multiple regression. Least square estimators. Tests and confidence intervals for the parameters of a linear model. Prediction of a new observation. Diagnostics.
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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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3.0
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C
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SECS-S/01
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STATISTICS
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3.0
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