ALGORITHMS, DATA AND SECURITY
Syllabus
EN
IT
Prerequisites
no formal prerequisite
Program
Topic 1 Fundamentals in algorithms and data organization
Topic 2 Recommender systems and recommendation algorithms
Topic 3 Social networks
Topic 4 Cybersecurity
Topic 5 Distributed Ledger Technology (Blockchain and Bitcoin)
Topic 2 Recommender systems and recommendation algorithms
Topic 3 Social networks
Topic 4 Cybersecurity
Topic 5 Distributed Ledger Technology (Blockchain and Bitcoin)
Books
Lecture notes and course material, including articles and videos, will be made available throughout the course through the course web site:
https://economia.uniroma2.it/ba/globalgovernance/corso/1282/
Links to articles and videos will be provided in the lecture slides related to each course topic.
https://economia.uniroma2.it/ba/globalgovernance/corso/1282/
Links to articles and videos will be provided in the lecture slides related to each course topic.
Exam Rules
There will be a written midterm and a final, plus a presentation of a case study using a software tool for network analysis. Midterm and final will be 85% of the final grade, the presentation will be 15% of the final grade. If the student does not attend at least 80% of lectures or does not complete successfully midterm and final, they will have to take a written exam and the presentation of the case study.
For assessment purposes, the following scheme will be used:
* Unsuitable: major deficiencies and/or inaccuracies in the knowledge and understanding of the topics; limited capacity for analysis and synthesis, frequent generalisations and limited critical and judgmental skills, the topics are set out inconsistently and with inappropriate language;
* 18-20: barely sufficient knowledge and understanding of the topics with possible generalisations and imperfections; sufficient capacity for analysis synthesis and autonomy of judgement, the topics are frequently exposed in an incoherent way and with inappropriate/technical language;
* 21-23: Routine knowledge and understanding of topics; ability to analyse and synthesise correctly with sufficiently coherent logical argumentation and appropriate/technical language;
* 24-26: Fair knowledge and understanding of the topics; Good analytical and synthetic skills with arguments expressed in a rigorous manner but with language that is not always appropriate/technical;
* 27-29: Comprehensive knowledge and understanding of the topics; considerable capacity for analysis and synthesis. Good autonomy of judgement. Arguments presented in a rigorous manner and with appropriate/technical language;
* 30-30L: Excellent level of knowledge and thorough understanding of topics. Excellent analytical and synthetic skills and independent judgement. Arguments expressed in an original manner and with appropriate technical language.
For assessment purposes, the following scheme will be used:
* Unsuitable: major deficiencies and/or inaccuracies in the knowledge and understanding of the topics; limited capacity for analysis and synthesis, frequent generalisations and limited critical and judgmental skills, the topics are set out inconsistently and with inappropriate language;
* 18-20: barely sufficient knowledge and understanding of the topics with possible generalisations and imperfections; sufficient capacity for analysis synthesis and autonomy of judgement, the topics are frequently exposed in an incoherent way and with inappropriate/technical language;
* 21-23: Routine knowledge and understanding of topics; ability to analyse and synthesise correctly with sufficiently coherent logical argumentation and appropriate/technical language;
* 24-26: Fair knowledge and understanding of the topics; Good analytical and synthetic skills with arguments expressed in a rigorous manner but with language that is not always appropriate/technical;
* 27-29: Comprehensive knowledge and understanding of the topics; considerable capacity for analysis and synthesis. Good autonomy of judgement. Arguments presented in a rigorous manner and with appropriate/technical language;
* 30-30L: Excellent level of knowledge and thorough understanding of topics. Excellent analytical and synthetic skills and independent judgement. Arguments expressed in an original manner and with appropriate technical language.