Manifesto Studiorum Master of Science in Computer Science

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1 Manifesto Studiorum Master of Science in Computer Science Approved by the Department of Information Engineering and Computer Science May 15 th, Rules Students may follow one of the following curriculum: Computer Science and Technology Curriculum This curriculum is suited for students interested to improve their technical knowledge in computer science and ICT. The following rules apply: a. At least 12 ECTS related to theoretical computer science (ING-INF/05) must be selected from Table 1.1 Fundamentals of Computer Science b. At least 6 ECTS related to economics and innovation (SECS-P/07) must be selected from Table 2.1 Credits outside Computer Science c. At least 6 ECTS related to advanced mathematical education (MAT/01) must be selected from Table 2.1 Credits outside Computer Science d. At least one area must be selected between those listed in Table 2.2; within the selected area, at least 18 ECTS must be selected. Alternatively, for those students participating in a double/joint degree, 18 ECTS must be selected by an homogeneous area offered by a partner. The master gives the opportunity to choose at least one area in the sector INF/01 and at least one area in the Sector ING-INF/05. e. At least 24 ECTS must be selected within the INF/01 sector and at least 30 ECTS within the ING-INF/05 sector. These credits can include the ones obtained in the points (a) and (d). f. At least 24 ECTS can be freely chosen by students among all courses listed in this document and not previously selected. ICT Innovation Curriculum The ICT Innovation curriculum is reserved to students who have passed the selection of the European Institute of Innovation and Technology of the ICT Competence Centre Labs (see attachment 3). The following rules apply: a. At least 6 ECTS related to theoretical computer science (ING-INF/05) must be selected from Table 1.1 Fundamentals of Computer Science b. At least 6 ECTS related to Economics and Innovation (SECS-P/07) must be selected from Table 3.1 Credits outside Computer Science 1

2 c. At least 9 ECTS related to Innovation management and Entrepreneurship must be selected from Table 3.1 Credits outside Computer Science, also by taking interdisciplinary courses (Sector SECS-P/09) d. At least 15 credits within ICT Innovation (Sector INF/01), the content of which has been approved by the European Institute of Innovation and Technology ICT Labs. Of these, at least 6 credits will be dedicated at the analysis of the possibilities in Innovation and Technology Transfer within the Master thesis. e. At least one area must be selected between those listed in Table 3.2; within the selected area, at least 18 ECTS must be selected. f. At least 21 ECTS must be selected within the INF/01 sector and at least 30 ECTS within the ING-INF/05 sector. These credits can include the ones obtained in the points (a), (d) and (e). g. At least 24 ECTS can be freely chosen by students among all courses listed in this document and not previously selected. For both curriculum, the master degree is completed by the following activities: h. Internship or stage, equal to 6 credits, is a professional training which allows the student to pursue the knowledge acquired during the university studies, to guide its own future professional choices and to study the possible technological transfer of the research and development activities carried out during the degree thesis. It consists in a training period performed at public/governmental bodies, companies, professional office or institutions to complete or integrate the course of studies. i. The master thesis, equal to 24 credits, reports the research activity and technological innovation carried out by the student under the supervision of a professor (teacher) or university researcher or an outside expert. 2. Exams Each 6-credit course may include - Theoretical courses (TH) with theoretical lectures and exercises up to 48 hours. In this case, the exam will be a written or oral test regarding the course subjects. - Projects courses (PR) during which there will be a maximum of 36 hours of theoretical lesson or exercises and at least 12 hours during which the students will discuss the solution they developed at home. In this case the exam will be a presentation of a software project or design report to be submitted in midterms during the course or all together at the end of the course, followed by a project discussion. 2

3 - Laboratory courses (LA) during which there are a maximum of 24 hours of lectures or theoretical exercises and at least 24 hours during which the students must develop a software project directly in the lab under the professor or instructor supervision. In this case, the exam is essentially the work developed during the lab hours, followed by a discussion of a brief paper related to the work done, at the end of the course. Each 12 credits course may include two of the options described above. 3. Study Plans All students must produce a study plan which must be approved by the competent educational structure. Such study plans must be presented and approved before the beginning of the new activities introduced by the students. A service to design the study plans is provided to the students, also with the support of appropriate online tools. The study plan is automatically approved in the case the curriculum are fulfilled. All courses listed in Tables 1-4 and those offered for the last year of the Bachelor degree do not need motivations as already coherent with the curricula offered by these present regulations, from a scientific/technical point of view. All other choices should be properly motivated and coherent with the chosen educational specialization. The evaluation of the study plan and its motivation is devolved to the competent educational structure and to a suitable commission, which operated independently and has the authority to request advisable modifications. The knowledge and the professional experiences individually certified as for the current regulations on the subject, article 5, section 7 of the ministerial decree October 22, 2004, NR. 270, can be recognized up to the maximum of 6 credits as substitute to the internship or educational stage. 3

4 Appendix 1: Common Courses Table 1.1 FUNDAMENTALS OF COMPUTER SCIENCE Year Code Denomination Objectives CFU SSD Teacher Timing Exam procedure Computational Complexity Complexity Theory focuses on the study of natural computational resources (time, memory, communication, etc.), and the effect of limiting those on the class of problems that can be effectively solved. Moreover, it describes how the impossibility to solve a problem can be used for cryptography and security Logic The objective of this course is to provide the basic concept of propositional, predicate first order logic, and describe its use for knowledge representation and reasoning Formal Methods Formal Methods Formal methods are increasingly used as powerful specification, verification and early debugging methods in the development of industrial SW and HW systems. This course provides an introduction to Formal Techniques and Tools for the specification and verification of hardware and software platforms. Apart from an introduction on formal techniques and their benefits, the course will concentrate mainly on formal verification and techniques and, in particular, on Model Checking. 6 ING-INF/05 NOT AVAILABLE 2013/ ING-INF/05 Giunchiglia Fausto 12 ING-INF/05 Sebastiani Roberto TH 1 sem. TH 2 sem. TH 4

5 Appendix 2: Master of Science in COMPUTER SCIENCE AND TECHNOLOGY Table 2.1: OBLIGATORY COURSES OUTSIDE CS FOR COMPUTER SCIENCE AND TECHNOLOGY CURRICULUM Year Code Denomination Objectives CFU SSD Teacher Timing Exam Computability The aim of this course is to introduce students to computability theory. At the end of the course, students will be able to reason about decidable problems, semi decidable problems, Turing machines, lambda calculus, recursive functions, universal programs and computational power of the programming languages Economics and Management In depth understanding of the general process and roles involved in developing an idea and starting up a new technology-based company The ability to systematically explore customers and markets In depth understanding and the ability to systematically explore business organization and projects In depth understanding and the ability to systematically explore basic product and process development In depth understanding and the ability to systematically explore basic entrepreneurial finance In depth understanding and the ability to systematically explore the important elements in managing companies and developing its human resources 6 MAT/01 Zunino Roberto 6 SECS-P/07 Bonifacio Matteo Salvatore 1 sem. TH 1 sem. TH 5

6 Table 2.2 EACH SUBSECTION CORRESPONDS TO AN AREA FOR THE COMPUTER SCIENCE AND TECHNOLOGY CURRICULUM Year Code Denomination Objectives CFU SSD Teacher Timing Exam BIOINFORMATICS & SEMANTICS 1\ Concurrency The objective of the course is to give the students the main models and techniques to describe and analyze the behavior of concurrent systems. 1\ Machine Learning (substitute Algorithmic Modelling) 1\ Laboratory of Biological Data Mining (substitute Simulation of Biological Systems) The course aims to provide knowledge of both theoretical and practical aspects of machine learning, of the main techniques of supervised and unsupervised learning and probabilistic reasoning. Applications of machine learning techniques to real world problems will be discussed. Post genomic biology is data intensive and a variety of data mining techniques are needed in order to analyze the data produced by high throughput technologies. Future bioinformaticians need practical experience of data preprocessing and results interpretation to effectively apply the techniques to biological problems. By means of a mix of practical and theoretical lectures the students will be lead to replicate a recent analysis of biological data, consider it critically and possibly suggest alternatives and improvements. 6 INF/01 Quaglia Paola 6 INF/01 Passerini Andrea 6 INF/01 Blanzieri Enrico 1 sem. PR 1 sem. LA INTERNET TECHNOLOGY 1\ Advanced Networking The course addresses some of the most interesting topics of modern packet-based telecommunication networks, with a bias on Internet-based communications. Internet is playing the role of the pan-network, where most of the services are developed and integrated. Yet its structure goes back to more than 20 years ago, and its design was not conceived for the modern commercial services. This course discusses several topics and aspects of networking that are playing a major role in the evolution of the Internet. 6 INF/01 Lo Cigno Renato 1 sem. TH 6

7 1\ Distributed Systems 1\ Web Architectures 1\ Laboratory of Nomadic Communication This course is aimed at offering the knowledge and competences to design algorithms and distributed systems, with attention on matters regarding scalability, robustness and availability. At the end of the course the student will be familiar with the main issues related to web architectures and with several web technologies. The course s objective is to give a in-depth vision of the problems of Wi-Fi communications, excluding telephone and cellular networks. The main portion of the course will focus on a complete and thorough overview of wireless networks, starting from WLANs (802.11), to Ad-Hoc, personal and sensor networks. It is an experimental course, with lab exercises to be carried out in computer classes and it is mainly concentrated on levels that correspond from 2 to 5 of the OSI protocol stack levels. Labs are used not only to learn to configure equipment and to verify the more or less correct functioning, the typical activity of a network administrator, but also to design an experiment, to take it to accomplishment even against the objective difficulties given by the real world, and to write a lab-paper correct from both the methodological and lexical point of view. 6 INF/01 NOT AVAILABLE 2013/ INF/01 Ronchetti Marco 6 INF/01 Lo Cigno Renato TH 1 sem. PR 2 sem. LA INFORMATION PROCESSING 1\ Advanced Business Intelligence Techniques 1\ Laboratory of Business Process Management and integration Provide advanced skills on techniques for information mining, organization and research of information in an unstructured context, taking into example the web. The course focuses on methodologies, languages and instruments to manage and integrate business processes. Students will learn to model and implement processes with mostly human actors, processes integrating web services, and processes utilizing cloud computing and technologies of cloud sourcing to reach their goals. 6 INF/01 NOT AVAILABLE 2013/2014 PR 6 INF/01 Casati Fabio 2 sem. LA 7

8 1\ Machine Learning 1\ Spatial Databases The course aims to provide knowledge of both theoretical and practical aspects of machine learning, of the main techniques of supervised and unsupervised learning and probabilistic reasoning. Applications of machine learning techniques to real world problems will be discussed. Study the theory of spatial databases and their use in Geographical Information Systems (GIS). The theoretical part will study languages for spatial data, algorithms for their manipulation, and index structures for such data. The practical part use of the GRASS GIS for geographical applications. 6 INF/01 Passerini Andrea 6 INF/01 NOT AVAILABLE 2013/ sem. TH DATA MANAGEMENT 1\ Massive Data Analytics This course introduces techniques that allow the efficient processing and analysis of massive data collections. It discusses scalable algorithms for the discovery of association rules, clusters, classification models, and outliers. Moreover, it describes techniques for the realtime analysis of streaming data. 6 ING-INF/05 Palpanas Themistoklis 1\ Data and Information integration The integration of data and information coming from multiple, physically distributed, independent and heterogeneous sources is of the uppermost importance in the modern information systems and in the online ecommerce. This course s goal is to pass on the challenge of the data integration processes and the theoretical and technological solutions. The course combines the theoretical aspects with the practical scenarios. 6 ING-INF/05 Velegrakis Ioannis 1 sem. PR 1\ Natural Language Processing and Information Retrieval This course aims at providing the attendees with both essential and advanced notions of two important disciplines: Natural Language Processing (NLP) and Information Retrieval (IR). It will explain the use of current statistical techniques for the automatic analysis of natural 6 ING-INF/05 NOT AVAILABLE 2013/2014 TH 8

9 language data and its use for the design of practical applications of Information Processing and Management. It will give basic notions on (i) IR such as methodologies for designing search engines as well as (ii) on core tasks of NLP. Additionally, it will illustrate techniques for the design of user applications such as: advanced document retrieval, text categorization, information extraction, question answering (also interactive), textual implication and machine translation. 1\ Logics for Data and Knowledge representation. The aim of the course is to present the main components of the most important classical and non-classical logics used in Computer Science. Specifically every logic will be presented in their syntax, semantics and calculi components. The main goal is to teach the students the use of logic as an useful and real tool for modern management and knowledge systems. 6 ING-INF/05 Giunchiglia Fausto 1 sem. PR DESIGN AND ENGINEERING 1\ Computer Supported Cooperative working 1\ Laboratory of Service Design and Engineering 1\ Organizational Information Systems The aims of the unit are to examine the implications of using groupware technologies to support collaboration between members of a team. It will expose the strengths and weaknesses of selected synchronous and asynchronous collaboration tools, for collocated and distributed groups. The course unit will introduce students to the social, organisational and design issues associated with the introduction of groupware technologies. The course focuses of the current methodologies, languages and tools to support the "service-oriented" approach from the lab point of view. Services are viewed as sw components to be used as based to develop fast and inexpensive distributed applications. Learn basic concepts about modeling business organizations and business processes; learn information system technologies and architectures used to support 6 ING-INF/05 De Angeli Antonella 6 ING-INF/05 Marchese Maurizio 6 ING-INF/05 Mylopoulus John TACE 2013/2014 LA 9

10 the operation of organizations. 1\ Requirements Engineering 1\ Security Engineering The aim of the course is to 1) provide concepts, techniques, and tool for acquiring, analyzing, and eliciting requirements for a software system in order to develop a software project; 2) develop an understanding for the engineering issues that form the background to the requirements engineering process. The course is a general introduction to the problematic area of designing a secure system starting from security requirements and risk analysis, up to architectural analysis at service levels. The structure mirrors the corporate practice end foresees applying the techniques developed during the course into series of practical casestudies and the preparation of a final report. 6 ING-INF/05 Mylopoulus John 6 ING-INF/05 to be defined 2 sem. TH 1 sem. PR SECURITY 1\ Network Security This course is about network security, by introducing the problems, algorithms and solutions of this subject. 6 ING-INF/05 Crispo Bruno 1\ Security Engineering The course is a general introduction to the problematic area of designing a secure system starting from security requirements and risk analysis, up to architectural analysis at service levels. The structure mirrors the corporate practice end foresees applying the techniques developed during the course into series of practical casestudies and the preparation of a final report. 1\ Security Testing The aim of this course is to give the theoretical foundations of the software analysis activities done for security testing. Applications of the code analysis techniques will be presented, relative to reverse engineering of the software. 6 ING-INF/05 to be defined 6 ING-INF/05 to be defined 1 sem. PR 10

11 EMBEDDED SYSTEMS 1\ Signal and Systems 1\ Laboratory of Embedded Control Systems 1\ Real-Time Operating Systems and Middleware 1\ Network Security The objective of the course is to introduce the concept of signal that is a mathematical concept which allows the modeling of a wide class of physical phenomenon. The specific goal of this course includes the experimental modeling of signals and their transformation from one class into another. The Real-Time Operating Systems and Middleware course will introduce the concept of real-time application, and teach the student how to design, develop, and implement a real-time system, for both applications and system. This course introduces network security problems, algorithms and solutions. 6 ING-INF/05 Palopoli Luigi 6 ING-INF/05 Palopoli Luigi 1 sem. TH 2 sem. LA 6 ING-INF/05 Abeni Luca 1 sem. TH 6 ING-INF/05 Crispo Bruno 11

12 Appendix 3: Master of Science in ICT INNOVATION Table 3.1 OBLIGATORY COURSES OUTSIDE CS FOR THE ICT INNOVATION CURRICULUM Year Code Denomination Objectives CFU SSD Teacher Timing Exam Business Development Laboratory Economics and Management The ability to successfully apply the learned knowledge for development of a new product or business concept The ability to systematically explore and create ideas or modify existing ideas for business solutions The ability to systematically explore diverse obstacles in transforming a technology into a business In depth understanding of the different phases of a business development process The ability to transforming new ideas into business solutions on the commercial market, combined with decision-making and leadership competencies The ability to work in multi-disciplinary teams The ability to reflect upon ethical and team processes In depth understanding of the general process and roles involved in developing an idea and starting up a new technology-based company The ability to systematically explore customers and markets In depth understanding and the ability to systematically explore business organization and projects In depth understanding and the ability to systematically explore basic product and process development In depth understanding and the ability to systematically explore basic entrepreneurial finance In depth understanding and the ability to systematically explore the important elements in managing companies and developing its human resources 9 SECS- P/09 6 SECS- P/07 Bonifacio Matteo Salvatore Bonifacio Matteo Salvatore 2 sem. TH 1 sem. TH 12

13 Table 3.2 EACH OF THE FOLLOWING SUBSECTION CORRESPONDS TO AN AREA FOR THE ICT INNOVATION CURRICULUM Year Code Denomination Objectives CFU SSD Teacher Timing Exam DESIGN AND ENGINEERING 1\ Computer Supported Cooperative working 1\ Laboratory of Service Design and Engineering 1\ Organizational Information Systems 1\ Requirements Engineering 1\ Security Engineering The aims of the unit are to examine the implications of using groupware technologies to support collaboration between members of a team. It will expose the strengths and weaknesses of selected synchronous and asynchronous collaboration tools, for collocated and distributed groups. The course unit will introduce students to the social, organisational and design issues associated with the introduction of groupware technologies. The course focuses of the current methodologies, languages and tools to support the "service-oriented" approach from the lab point of view. Services are viewed as sw components to be used as based to develop fast and inexpensive distributed applications. Learn basic concepts about modeling business organizations and business processes; learn information system technologies and architectures used to support the operation of organizations. The aim of the course is to 1) provide concepts, techniques, and tool for acquiring, analyzing, and eliciting requirements for a software system in order to develop a software project; 2) develop an understanding for the engineering issues that form the background to the requirements engineering process. The course is a general introduction to the problematic area of designing a secure system starting from security requirements and risk analysis, up to architectural analysis at service levels. The structure mirrors the corporate practice end foresees applying the techniques developed during the course into series of practical casestudies and the preparation of a final report. 6 ING- INF/05 6 ING- INF/05 6 ING- INF/05 6 ING- INF/05 6 ING- INF/05 De Angeli Antonella Marchese Maurizio Mylopoulu s John Mylopoulu s John To be defined TACE 2013/2014 PR 1 sem. PR 13

14 SECURITY 1\ Network Security This course is about network security, by introducing the problems, algorithms and solutions of this subject. 6 ING-INF/05 Crispo Bruno 1\ Security Engineering The course is a general introduction to the problematic area of designing a secure system starting from security requirements and risk analysis, up to architectural analysis at service levels. The structure mirrors the corporate practice end foresees applying the techniques developed during the course into series of practical case-studies and the preparation of a final report. 1\ Security Testing The aim of this course is to give the theoretical foundations of the software analysis activities done for security testing. Applications of the code analysis techniques will be presented, relative to reverse engineering of the software. 6 ING-INF/05 To be defined 6 ING-INF/05 To be defined 1 sem. PR EMBEDDED SYSTEMS 1\ Signal and Systems The objective of the course is to introduce the concept of signal that is a mathematical concept which allows the modeling of a wide class of physical phenomenon. 6 ING-INF/05 Palopoli Luigi 1 sem. TH 1\ Laboratory of Embedded Systems 1\ Real-Time Operating Systems and niddleware 1\ Network Security The specific goal of this course includes the experimental modeling of signals and their transformation from one class into another. The Real-Time Operating Systems and Middleware course will introduce the concept of real-time application, and teach the student how to design, develop, and implement a real-time system, for both applications and system. This course introduces network security problems, algorithms and solutions. 6 ING-INF/05 Palopoli Luigi 2 sem. 6 ING-INF/05 Abeni Luca 1 sem. 6 ING-INF/05 Crispo Bruno 2 sem. LA TH PR 14

15 Table OBLIGATORY COURSES FOR INNOVATION IN IT FOR THE ICT INNOVATION CURRICULUM Year Code Denomination Objectives CFU SSD Teacher Timing Exam procedur e Management of ICT Innovation I&E Evaluation of the MSc Thesis In depth understanding how technology and innovation interact with all stakeholders (competitors, alliances, networks, markets, etc.). The ability to reflect upon ethical, societal, scientific and sustainability considerations when developing new products/technologies. The intellectual abilities in transforming theoretical insights and practical experiences into innovative business ideas. The ability to systematically conduct a market and/or financial forecast. In depth understanding of global/market trends and recognizing their relative importance for their new venture. The cutting edge ability in transforming new innovations into viable business solutions on the commercial market, combined with decision-making and leadership competencies. In depth understanding of usability, business life-cycles, operations and maintenance. The ability to integrate different ICT-technology specializations (Lectures will be those of Science Technology and Business). Applying, synthesizing, and evaluating prior Innovation and entrepreneurship learning in the context of a specific technology developed for the master thesis. 9 INF/01 Battiti Roberto 6 INF/01 EIT ICT LABS 2 sem. TH 1/2 TH 15

16 FURTHER EDUCATIONAL ACTIVITIES FOR THE STUDENTS FREE-CHOICE The student can choose from any course listed in this document, including those listed below. The student can also choose the courses offered in the Third year of the Bachelor degree, in order to complete some specific education. The student can also choose any course offered by the University, as long as he/she gives a motivation letter on the coherence of the choice (please see the study-plan section of the Regulation of the Master in Computer Science)http://www.unitn.it/scienze/3002/norme-e-regolamenti-laurea-magistrale-informatica. Table 4 ADDITIONAL COURSES Year Code Denomination Objectives CFU SSD Teacher Timing Exam 1\ Agent Oriented Software Engineering The aim of this course is to examine and explore the possibilities offered by the agent-oriented approach as a paradigm of software engineering. Agent-oriented design and techniques will be presented, and also implementation techniques based on the JADE Cryptography The goal of the course is to give the student the applicative basis of the primary cryptographic algorithms, with emphasis on algebra, starting from the theory of Shannon up to RSA, crossing the classic symmetric cryptography, hash function and keys generating. 1\ Project on Applied Security 1\ Introduction to Cell Biology The course will explore the fundamental concepts of the most important cellular processes and the architecture of prokaryotes and eukaryotes, by mean of a coherent framework through which beginners can approach the subject. In particular the students will learn about cellular biomolecular processes, including the physiological properties of cells, their structure, their organelles, their interactions with the environment, their life cycle and division at both microscopic and molecular level. Particular attention will be paid to the most recent findings of biological research by current 6 ING- INF/05 Giorgini Paolo 6 MAT/02 Sala Massimiliano 18 ING- INF/05 9 BIO/13 Adopted from Mathematics 1 sem. PR 1 sem. PR TUTTI 1-2 Sem PR 1 sem TH 16

17 Year Code Denomination Objectives CFU SSD Teacher Timing Exam 1\ Modeling and simulation of biological systems 1/ High-throughput Methodologies 2: Data Analysis 1\ Chemistry for Bio- Informatics understanding of cell biology. The practical part of the course will describe the most accessed biological databases, explaining how their data can be critically accessed, understood and used in bioinformatic analyses. The course addresses the notions of systems and models. It introduces to various formalisms: rewriting systems, i.e. chemical reactions, P systems; network formalisms, i.e. boolean networks, Petri nets; language-based formalisms, i.e. process algebras, rule-based systems, ad hoc programming languages. Case studies of biological systems expressing complex phenotypes are used to show how to apply the various formalisms and to compare their respective pros and cons. In the comparison steps equation-based modeling formalisms are considered as well. The next step is introducing the notion of simulation and explore various approaches commonly adopted. Deterministic and stochastic simulation techniques are explored. Stochastic simulation will be then joined with the modeling formalism introduced earlier in the course. Comprehensive case studies will be presented and used to evaluate different solutions. The aim of the course is to provide students with foundational knowledge of chemical and molecular biological systems. The course themes are: - theory of chemical bonding and intermolecular interactions, - acid-base balance, - thermodynamics and chemical kinetics, - stereochemistry and the structural aspects 9 INF/01 Adopted from Mathematics 6 INF/01 Adopted from CIBIO 6 CHIM/06 NOT AVAILABLE 2013/ sem TH TH 17

18 Year Code Denomination Objectives CFU SSD Teacher Timing Exam 1\ Laboratory of Wireless Sensor Networks 1\ Safety Critical Systems for ES 1\ Language Understanding Systems of both small organic molecules that of macromolecules (proteins, enzymes, polysaccharides and nucleic acids). Upon students request it will be provided applications to software molecular design, molecular mechanics calculations and bibliographic research in areas of interest. Wireless sensor networks (WSNs) is a technology surfaced in the last 10 years and quickly becoming popular in modern pervasive systems. The objective of the course is to expose students to the fundamentals concepts of WSN by means of a practical approach; the concepts dealt during the lessons are immediately utilized in the lab work. The lab work is done by using hw/sw platforms which are, at this moment, WSN state of the art. Focus of the course is software development and communication protocols for WSN applications. This course examines the design of embedded systems and software that provide services in realworld applications that could, when they fail, threaten the well-being or life of people. The object of the course is how to address safety concerns when designing safety critical software in fields such as medical, automotive, avionics, nuclear and chemical process control. The course surveys concepts, alternatives and design methods for software and system architectures appropriate for safety-critical systems, hazard and risk analysis techniques, and standards. Language technology is the fundamental component of artificial intelligence systems designed for conversational interaction. This technology supports the analysis of very large and diverse conversations (e.g. web docs, blogs, 6 ING- INF/05 Picco Gian Pietro 6 INF/01 NOT AVAILABLE 2013/ ING- INF/05 Riccardi Giuseppe 2 sem. LA 18

19 Year Code Denomination Objectives CFU SSD Teacher Timing Exam 1\ Science Technology and Business s, telephone..) and the generation of summaries/reports etc.. This technology supports the design of human-machine dialogue systems oriented at resolving user problems of different complexity. The lectures and lab sessions will include, a) basic concepts and models for language understanding, b) rule-based and statistical models of language understanding as well as c) theories and models of human-machine dialogue systems. Case studies in the web and mobile telephone application domains, amongst others, will be presented. The aim of this course is to get the students ready to enter the workforce and to improve the awareness of the use of scientific methods in the company. Specifically we introduce the subjects regarding the company functionality, the decision-making process and the organization strategies. Real cases are analyzed, with testimonials coming from Companies (seminars) and business plans motivated by the students ideas and proposals are developed. 6 INF/01 Battiti Roberto 2 sem. TH 1\ Technical Writing 6 L-LIN/12 CIAL 2 sem. 1\ Privacy and The course aim is to analyze the main legal 6 JUS/02 D Andrea 2 sem. TH Intellectual problems and solutions of Intellectual Property Vincenzo 1\ Property Rights Research Project Rights. Research Project Develop advanced research projects in a Computer Science subject. 1\ Project Course Research Project Develop advanced research projects in a Computer Science subject. 1\ Advanced systems and Architectures This course deals with the understanding and designing of advanced processing architectures, with special emphasis on embedded systems. 12 INF/01- ING- INF/05 6 INF/01- ING- INF/05 6 ING- INF/01 TUTTI TUTTI NOT AVAILABLE 2013/2014 PR PR PR 19

20 Year Code Denomination Objectives CFU SSD Teacher Timing Exam Throughout the course we will analyse the different architectures of processors present in the market. 1\ Introduction to Service Design and Engineering The course develops the theoretical point of view of the methodologies related to language and instruments to support a service oriented approach. The approach is based on the concept of applications discovered and requested in the network, rather than developing new applications. Services are perceived as software components to be used as foundations for the quick development of applied applications at a very low cost. 6 ING- INF/05 1\ Data Hiding 6 ING- INF/03 1\ Formal Techniques for Cryptographic Protocol Analysis Marchese Maurizio Mutuato da TLC 6 INF/01 Mutuato da MAT 1 sem TH 2 sem. TH 2 TH 20

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