Data Analytics
News
* Exam 06/09/2021 update: exam results with the writing vote are available here
* Exam 26/07/2021 update: exam results with the writing vote are available here
* Exam 26/07/2021 update: exam session has been delayet. New session date: 30/07/2021.
* Exam 28/06/2021 update: exam results with the writing vote are available here
* Exam rules update: students must confirm their presence to the next exam sessions at least 5 days before the exam date. Confirmation must be send to by mail to the teacher, esse3 registration is not sufficient.
* Exam 28/06/2021 update: interested students for this session must send a mail to the teacher in order to do the exam.
* Exam 22/03/2021 update: exam results with the writing vote are available here
* Exam update (only valid for session date 22th of march 2021) : exam rules are available here. Note that exam will be done via Webex and students must have Acrobat Reader installed.
* Exam update for the 22th of march 2021: exam session is scheduled at 10:00am only in webex.
* Projects update:projects list has been updated with source code and slides links.
* Project discussion update: for the project discussion students have to publish the final code to a public github repository (or similar) along with the necessary documnatation (pre-requisite, installation, configuration, usage, etc). Moreover a set of slides have to be presented in that day along with a practical demonstration of the running code. Slides should cover the following points:
- Project description / objectives
- Methodology and technology being used
- Technical implementation
- Achieved results
- Possible future improvements
* Exam update: an additional exam session has been scheduled for the 22th of march 2021.
* Project update: students that are ready to discuss the project are invited to contact the professor to arrange a date for the presentation.
* Exam 22/02/2021 update: exam results with the writing vote are available here
* Exam 01/02/2021 update: exam results with the writing vote are available here
* Exam 01/02/2021 update: exam results are available here
* Exam update: session confirmed for the 1th of february at 14:00, AB2 classroom - Polo Ludovici.
* Exam rule clarification: online exam session is planned. Interested students have to compile the corresponding module.
* Exam rule clarification: only students signed on ESSE3 will be allowed to do the exam.
* Exam rule clarification: students can do the writing exam and present the project later on.
* Avvio rilevazione delle opinioni e della soddisfazione degli studenti, aa 2020/21: students are invaited to submit the survey.
* Projects update: projects list updated Link.
* No lecture 09/11/2020: lecture suspended.
* No lecture 16/10/2020: lecture suspended.
* Course start: the first lesson is planned for 2th of October 2020, at Polo Ludovici (LB1) - online streaming via webex.
General Info
Teacher:
- Dr. Massimo Callisto De Donato <massimo.callistodedonato[at]gruppofilippetti.it>
ESSE3 Link
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Webex Link
Lessons schedule:
- 42 h - lectures, exercise sessions
- Schedule on: Monday/Friday 14:00am to 16:00pm
- LB1 room-new Polo Ludovici
- Schedule (tentative)
- 02,05,09,12,16,19,23,26,30/10/2020
- 06,09,13,16,20,23,27,30/11/2020
- 04,11,14,18,21/12/2020
Students Office hours:
- Send an e-mail to the teacher to fix an appointment.
Course Objectives
- knowledge about business data analysis and modern scenarios such as the Internet of Things.
- Understanding of main differences between classical methods in data analysis and new modern scenarios.
- Knowledge and expertise on Big Data methodologies and technologies, basic principles and concepts, techniques that enable data analysis and management.
- Knowledge of the main Big Data technological frameworks and application in real case studies.
- Highlight some Intelligent Data Analysis techniques.
Course Contents
- Acquire knowledge and competence on Big Data methodologies, techniques and technologies.
- Know most common techniques of Big Data analysis and how they apply to real world examples.
- Apply Big Data Analysis techniques into practical case studies.
Syllabus
- Introduction to enterprise and data management.
- Analysis of scenarios and contexts of data generation: from the inter-organizational model to the Internet of things.
- Introduction to the classic data analysis techniques: ETL (Extract, Transform, Load), Business Intelligence, Reporting Tools.
- Methodologies and technologies for the management and analysis of large amounts of data: introduction to the Big Data model, concepts, principles and technological frameworks.
- Data Analytics methodologies and techniques: batch analysis models, streaming computation.
- Data Analytics evolution towards intelligent data understanding models.
Study material
Course Slides
- Slides link
- Webex doc with links
- Projects link | Projects list and slides
- Enterprise Data Analytics 2019-20: http://didattica.cs.unicam.it/doku.php?id=didattica:magistrale:eda:ay_1920:main
- Reference materials
- Slides course.
- Material provided by the teacher.
- Examples
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- Other materials
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Exams
Exam Dates A.Y. 2020/2021 (tentative)
- 01/02/2021
- 22/02/2021
- 22/03/2021
- 07/06/2021
- 28/06/2021
- 26/07/2021
- 06/09/2021
- 15/11/2021
- 20/12/2021
- 07/02/2022
Exam rules:
- Writing Examination on the topics of the course
- Project lab (max 2 member per team)
Exam Results
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