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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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) - MI (358) Engineering of Computing Systems
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Track
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IT1 - Ingegneria Informatica e Comunicazioni
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Programme Year
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2
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ID Code
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099319
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Course Title
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PROBABILITY AND STATISTICS FOR COMPUTER SCIENCE
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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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Second Semester
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Course Description
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The course is organized in two parts. The first part concerns the basic elements of probability theory: axiomatic definition of probability space, conditional probability, independence, random variables and random vectors (joint distributions, moments, Gaussian vectors, covariance matrix, ...), Law of Large Numbers and Central Limit Theorem.
In the second part the basic concepts of mathematical statistics are given: elements of the theory of parametric point estimation (maximum likelihood method and moment method), confidence intervals for population characteristics, hypothesis tests, hints of non-parametric statistics.
The course topics will be carried out with attention to stimulate a double vision of the basic themes: from the points of view of mathematical models and of engineering applications. The aim of the course is to provide the student with the conceptual bases both to face applications in the field of Computer Engineering in the presence of random phenomena, and to afford the study of the probabilistic/statistical issues present in advanced courses.
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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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