8891-AUTOMATION ENGINEERING Class/Classe: LM-25corsi.unibo.it/2Cycle/AutomationEngineering/Documents/Regolamento... · master degree teaching regulation a.y 2018/2019 regolamento

MASTER DEGREE TEACHING REGULATION A.Y 2018/2019 REGOLAMENTO DIDATTICO DEL CORSO DI LAUREA MAGISTRALE A.A. 2018/2019

8891-AUTOMATION ENGINEERING Class/Classe: LM-25

RULES, COURSE STRUCTURE PARTE NORMATIVA, PIANO DIDATTICO

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Programme Second-cycle Degree in Automation Engineering / Ingegneria dell’Automazione Department Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” Class LM-25 School School of Engineering and Architecture – University of Bologna

RULES Art. 1 Admission Requirements The admission to this Programme is granted to Applicants that comply, first, with the curriculum requirements, second with the necessary prior preparation and third with language requirements (section 1.3). If the curriculum requirements are not complied with, the access to the Second-cycle Degree in Automation Engineering is denied. If the curriculum requirements are complied with, the Applicant’s prior preparation has to be assessed. The admission is granted if all requirements are fulfilled. The procedures to verify curriculum requirements and prior preparation are listed below. 1.1 Curriculum requirements To be admitted to the Second-cycle Degree in Automation Engineering the Applicant must hold a University degree of at least three years (or achieved through the acquisition of at least 180 ECTS –CFU), or another degree obtained abroad and recognized by the Degree Board as equivalent. Admission to the Second-cycle Degree in Automation Engineering is reserved to:

a. Students graduated from Italian First-cycle Degrees (“Lauree”) of the “Information Engineering area” (area 8, as defined in the DM 270/04 and area 9, as in DM 509/99) or in the “Industrial Engineering area” (area 9 as in the DM 270/04 and area 10 as in DM 509/99) whose name contains “Ingegneria dell’Automazione” or “Ingegneria Meccatronica”. Italian First-cycle Degrees included in this definition have adequate curricula.




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b. Students graduated from Italian First-cycle Degrees of the “Information Engineering area” (area 8, as defined in the DM 270/04 and area 9, as in DM 509/99) or in the “Industrial Engineering area” (area 9, as in the DM 270/04 and area 10, as in DM 509/99) with a final mark of at least 110/110.

c. Students graduated from Italian First-cycle Degrees of the “Information Engineering area” (area 8, as defined in the DM 270/04 and area 9, as in DM 509/99) or in the “Industrial Engineering area” (area 9, as in the DM 270/04 and area 10, as in DM 509/99) with a final mark less than 110/110 but complying with the following requirements:

- at least 6 CFU in the SSD ING-INF/04; - at least 12 CFU in the set of SSD: ING-IND/13, ING-IND/32, ING-INF/05.

d. Students graduated from Italian First-cycle Degrees complying with all the following requirements: - at least 30 CFU in the SSD MAT/02, MAT/03, MAT/05, MAT/06, MAT/07, MAT/08, FIS/01, FIS/03; - at least 6 CFU in the SSD ING-INF/04 - at least 12 CFU in the set of SSD: ING-IND/13, ING-IND/32, ING-INF/05.

The same criteria of point d) shall also apply to those who hold a University degree obtained abroad and deemed appropriate by the Degree Board for which it is possible to convert the degree score to the Italian system, and to identify the scientific areas and the number of credits obtained in each sector. Otherwise, the career of the applicant shall be assessed by the Degree Board. In very exceptional cases, the Degree Board can assign differentiated didactic plans in compliance with the “Degree Programme Regulation” to those Students with particular previous academic curricula. Such differentiated didactic plans do not concern students who have the First-cycle Degree in Ingegneria dell’Automazione acquired at University of Bologna. 1.2 Assessment of adequacy of the applicant’s background Admission to the Second-cycle Degree in Automation Engineering for Italian graduates who have obtained a degree mark lower than 92/110 is subjected to the evaluation of the adequacy of the academic career of the applicant by the Degree Board. In these cases, the adequacy of personal academic career is assessed for graduates who meet all the following requirements:




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- At least 42 credits in the SSD ING-IND/13, ING-IND/32, ING-INF/04; - At least 30 credits in the SSD ING-INF/01, ING-INF/04, ING-INF/05; - At least 24 credits in the SSD MAT/07, ING-IND/14, ING-IND/31, ING-IND/35. The above limit on the degree mark is reduced to 85/110 for graduates in AY 2011-2012 and earlier. For graduates with a foreign University degree for which it is possible to convert the degree score to the Italian system and to identify the scientific areas and the number of credits obtained in each sector, the same criteria used for Italian graduates shall be adopted. Otherwise, the Degree Board shall assess the educational background: in particular, solid background in Control systems combined with solid background in Mechanics or Computer science or Electric drives is required for admission. The Degree Board may exempt the Student from the assessment of personal preparation in cases of:

Withdrawal

Loss of Student status

Choice of an option from the previous degree program system

Possession of a University qualification or learning outcomes acquired in foreign Universities

Transfer from another degree course of the Alma Mater Studiorum-Università di Bologna

Transfer from another University

The assessment is based on the analysis of Applicant’s previous career. The Degree Board may arrange a special session dedicated to international Students and appoint a commission for the assessment of the personal preparation, with a timing compatible with the assignment of scholarships. Students who have received from the Degree Board a positive evaluation in the procedure described above shall be exempted from the procedure for the assessment of personal preparation planned for all the Students. In case the curriculum requirements detailed above are fulfilled, the Degree Board – or a Board’s representative – might anyway identify specific cultural gaps in the student’s prior preparation within topics that are important to profitably follow the Second-cycle Degree in Automation Engineering. Supplementary activities will be




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required to those students who have cultural gaps in one or more of the aforementioned areas, in order to align the required competencies with the contents of the courses of the Second-cycle Degree. 1.3 Language requirements Adequate proficiency in English (at least B-2 level according to CEFR) is required for admission to the Second cycle Degree in Automation Engineering. Candidates submitting a certificate issued by a recognized institution (e.g. TOEFL, IELTS, Cambridge Esol, ...) proving such knowledge are exempted from further assessment. Otherwise, English proficiency of the Applicant is assessed by a Commission nominated by the Degree Board. Whenever English knowledge is not considered adequate, the Degree Board may require the Student to fill the gap before registering any exam of their second year. Article 2. Curricula - Student course selection The Programme is two years long. In case of properly motivated requests, the Student can submit an individual Study Plan. The requests, submitted by the deadlines defined every year by the School of Engineering and Architecture Board and made public through the University Website, will be individually addressed to the Degree Board, that shall consider the rationale for the submission and whether it can be accepted or not, on the basis of the coherence with the learning outcomes of the Programme and with the document “Degree Programme Regulation”. For interested Students, there is also the possibility to obtain a Double Degree: the Second-cycle Degree in Automation Engineering from the University of Bologna and the “Master of Science (MSc) in Automation Engineering” from the Tongji University, Shanghai, China. The Double Degree Programme is open to Students of the Second-cycle Degree in Automation Engineering who, in the first year of study, apply to the Programme according to the modalities defined every year by the School of Engineering and Architecture Board. Students are selected by a specific Commission, nominated by the School of Engineering and Architecture Board, on the basis of the following criteria:

- Curriculum of studies




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- Knowledge of the English language - Motivational criteria

Selected Students receive a grant, whose amount is defined each year by the DEI Board, and have to attend the second year of study - plus an additional period equivalent to a semester - at Tongji University, taking the exams defined by the Double Degree programme. Courses at Tongji University are given in English. Article 3. Teaching methods Each teaching activity may be carried out in different ways, e.g.:

- Theoretical lessons in class - Exercises in class - Laboratory work - Tutoring - Self-evaluation exercises - E-learning

With reference to the item “Hours” used herein below (point “General list of Courses”), the following apply:

- For the course bearing a numerical value of the item “Hours”, such a value is the maximum of the sum of the hours devoted to theoretical lessons in class, to class exercises, and to laboratory work —the latter under the supervision of the teacher (“Titolare”) or tutor— including the time devoted to intermediate exams and to the tutoring in class. The minimum is fixed to 80% of the numerical value of the item “Hours”.

- For the teaching activities whose name does not contain the word “Laboratory”, the total hours devoted to theoretical lessons in class and exercises in class must range between two thirds and the total of the numerical value of the item “Hours”. The remaining part (if any) is covered by laboratory work, intermediate exams,




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and tutoring.

- For the teaching activities whose name contains the word “Laboratory”, the total hours devoted to theoretical lessons in class and exercises in class must not exceed one fifth of the numerical value of the item “Hours”. The remaining part is carried out in the laboratory.

The hours concerning Stage activities are defined in accordance with criteria defined in the “Internship Regulation” approved by the University. These hours are held in the host structure. Article 4. Course Attendance - Specified order of the exams The Student is not entitled to access an exam if he/she is not registered in the corresponding course. Also, the Student is not entitled to access the course exam where he/she is registered for a specific Academic Year, if the lessons of such a course in the same Academic Year have not been completed yet. For the teaching activities whose name contains the word “Laboratory”, the Student is not entitled to access the exam if he/she has not attended at least 70% of the hours indicated in the item “Hours”. For the Stage activities the attendance rules are specified in the “Internship Regulation” approved by the University. The exams of some courses must be undertaken in a specified order. Such cases, if any, are indicated herein below (point “General list of Courses”). Article 5. Structure and outcome of the exams Each teaching activity may have a different structure and outcome of the exam, e.g.:

- Written and oral exam, evaluation by mark - Oral-only exam, evaluation by mark - Written-only exam, evaluation by mark - Any of the above, evaluation by “pass/fail”




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For each teaching activity the outcome of the exam is indicated herein below (point “General list of Courses”). The structure of the exam is proposed by the teacher and is approved by the Degree Board or by the Degree Coordinator if the latter is so entrusted by the Degree Board. The exam is personal and aims at determining the intellectual maturity of the Student along with his/her holding the knowledge and abilities typical of the course’s subject. Intermediate exams on the course’s subject are allowed, whose possible negative result does not influence the Student’s access to the exam. For the oral-only exams, a preliminary written exam is anyhow allowed, whose outcome influences the Student’s access to the oral exam. For all teaching activities the Commission for the exams is proposed by the teacher and approved by the Degree Board or by the Degree Coordinator if the latter is so entrusted by the Degree Board. The Commissions are made of two members at least, one of whom is typically the course’s instructor that acts as the Commission’s Chairman. If there is more than one instructor (e.g., in integrated courses or in courses divided into modules), one of the instructors acts as the Commission’s Chairman. The other member(s) of the Commission must be either faculty professors, research assistants, or external experts so appointed by the teacher. For the Stage activities, the structure and outcome of the exam are specified by the document entitled “Internship Regulation” approved by the University. Art. 6: Elective Learning Activities - Courses freely chosen by the Student In standard Study Plan, Students can select some courses within constrained sets of choices and other courses freely. For the latter, a list of suggested courses is provided. The Students’ choices must be reported to the Student Administration Office within the deadlines and following the instructions defined every year by the School of Engineering and Architecture Board and published on the website of the University of Bologna. As far as the free selections are concerned, Students can select either courses in the list of suggested ones, or among all the coursed provided by the University of Bologna and in accordance with the objectives of the Programme. In the latter case, selections will be submitted to the Degree Board for approval. Art. 7: Acknowledgement of credits acquired from programs belonging to the same class This article applies to Students owning an Italian Second Cycle University degree only, conforming to the provisions of the Ministry Decree 270/2004 (“Laurea Magistrale”), belonging to the LM-25 class. The acknowledgement of credits in the Student career pursues the goal of Student mobility and it is approved by the Degree




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Board up to the achievement of the credits of the same Disciplinary Scientific Sector (Settore Scientifico-Disciplinare) according to the “Degree Programme Regulation”, within the related scientific disciplinary setting and of the kind of formative activities. Once credits are acknowledged according to the rule of the present regulation, the Degree Board can acknowledge possible residual credits case by case according to didactical and cultural affinity. In order to fill possible gaps of credits in a specific Disciplinary Scientific Sector, the Degree Board has the authority to set up some supplementary learning activities, distinct by Disciplinary Scientific Sector or groups of affine sectors, such as cycles of seminars, laboratory activities, tutored study activities, etc. The value of the credits of the supplementary activities ranges from one to three and it is anyway smaller than the number of credits of the course to be integrated. The evaluation is by “pass/fail”.

Article 8. Acknowledgement of credits acquired from programs belonging to a different class, from e-learning programs, or from international programs The credits may be acknowledged by the Degree Board after an analysis based on the following criteria: - Contents of the course whence the credits have been acquired - Total number of teaching hours of the course - Evaluation of the consistency of the field (or of the subjects, if the sectors are not defined), and of the contents of the courses whence the Student has acquired the

credits, with the specific teaching objectives of the Second-cycle Degree in Automation Engineering, as indicated in the document entitled “Degree Programme Regulation”.

Credits are acknowledged to the extent of those reported in the document “Degree Programme Regulation”.

If, after recognition under the above rules, there are residual unused credits, the Degree Board may acknowledge them after evaluation of the specific case according to cultural affinity.

Article 9. Acknowledgement of credits for extra-university competencies and skills




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The Degree Board may acknowledge competencies and abilities not provided by the University of Bologna, according to the applicable regulations and laws, up to a maximum of 12 CFU. The acknowledgment of the Degree Board is based on the coherence of the competencies and abilities with the Study Plan.

Art. 10 Final exam The contents of the final exam are those of the Thesis of a Second-cycle Degree (“Laurea Magistrale”), and consist of a significant project or research activity carried out by the Student on a subject chosen by himself/herself.

The results of such a work are illustrated in an original document, prepared by the Student on the Thesis’ subject and discussed in front of a Commission appointed by the Degree Board. The composition of the Commission conforms to the prescription of the document entitled “University Teaching Regulations“. The final exam must show the Student’s ability to master the subject, his/her attitude to work autonomously, and high-level communication skills. The Thesis discussion is public as prescribed by the “University Teaching Regulations”.

For accessing the final exam the Student must acquire all the credits indicated by the document entitled “Degree Programme Regulation“ in the teaching activities different from the final exam, distributed into the different types as defined herein below (point “General list of Courses”).

The evaluation of the final exam is by numerical rating and is expressed as a fraction of the form n/110, where n must not exceed 110. The unanimous agreement of the Commission is mandatory for attributing the evaluation 110/110 cum laude.

Article 11. Coherence between ECST credits related to teaching activities and their learning outcomes The Steering Committee of the School of Engineering and Architecture on December 6th, 2017 has agreed on the coherence between ECTS credits related to teaching activities and their learning outcomes, according to DM 270/2004 (article 3, subsection 3).




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PARTE NORMATIVA Art. 1 Requisiti per l’accesso al corso L’ammissione a questo programma è concessa agli studenti che soddisfano, primariamente, requisiti curriculari e, secondariamente, requisiti relativi all’adeguata preparazione. Se i requisiti curriculari non sono soddisfatti, l’accesso alla Laurea Magistrale in Ingegneria dell’Automazione è negata. Nel caso i requisiti curriculari siano invece soddisfatti, viene valutata l’adeguatezza della personale preparazione. L’ammissione è concessa solo se tutti i requisiti sono soddisfatti. Le procedure per valutare i requisiti curriculari e quelli relativi all’adeguata preparazione sono dettagliati nel seguito. 1.1 Requisiti curriculari Per essere ammessi al Corso di Studio è necessario il possesso di un titolo di laurea di durata almeno triennale (ovvero conseguito attraverso l’acquisizione di almeno 180 CFU), o di altro titolo di studio conseguito all’estero riconosciuto idoneo. L’ammissione al Corso di Laurea Magistrale è riservata a:

a) Laureati nella classe dell’Ingegneria dell’Informazione (classe 8 nell’Ordinamento ex DM 270/04 e classe 9 nell’Ordinamento ex DM 509/99) o nella classe dell’Ingegneria Industriale (classe 9 nell’Ordinamento ex DM 270/04 e classe 10 nell’Ordinamento ex DM 509/99) nel cui nome compaia “Ingegneria dell’Automazione” o “Ingegneria Meccatronica”. Le lauree erogate in Italia che ricadono in questa definizione forniscono tutte curricula adeguati. b) Laureati nella classe dell’Ingegneria dell’Informazione (classe 8 nell’Ordinamento ex DM 270/04 e classe 9 nell’Ordinamento ex DM 509/99), o nella classe dell’Ingegneria Industriale (classe 9 nell’Ordinamento ex DM 270/04 e classe 10 nell’Ordinamento ex DM 509/99) con un voto di laurea non inferiore a 110/110. c) Laureati nella classe dell’Ingegneria dell’Informazione (classe 8 nell’ordinamento ex DM 270/04 e classe 9 nell’Ordinamento ex DM 509/99), o nella classe dell’Ingegneria Industriale (classe 9 nell’Ordinamento ex DM 270/04 e classe 10 nell’Ordinamento ex DM 509/99) con un voto di laurea inferiore a 110/110, ma che soddisfino entrambi i seguenti requisiti:




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– un numero di CFU acquisiti non inferiore a 6 nel SSD ING-INF/04;

– un numero di CFU acquisiti non inferiore a 12 nell’insieme dei settori ING-IND/13, ING-IND/32, ING-INF/05. d) Laureati in classi diverse dalle precedenti che soddisfino tutti i requisiti seguenti:

– almeno 30 CFU nei SSD MAT/02, MAT/03, MAT/05, MAT/06, MAT/07, MAT/08, FIS/01, FIS/03;

– almeno 6 CFU nel SSD ING-INF/04;

– almeno 12 CFU relativi ad attività formative nei SSD ING-IND/13, ING-IND/32, ING-INF/05. Gli stessi criteri del punto d) si applicano anche a coloro che sono in possesso di un titolo di studio di livello universitario conseguito all’estero, giudicato idoneo dal Consiglio di Corso di Studio, per il quale siano possibili la conversione del voto di laurea secondo il sistema italiano, l’identificazione dei settori scientifico-disciplinari e il numero di crediti conseguiti in ciascun settore. In caso contrario, il Consiglio di Corso di Studio procede alla valutazione della carriera. In via del tutto eccezionale, il Consiglio del Corso di Studi potrà anche prevedere piani didattici differenziati conformi all’Ordinamento per quegli studenti con un particolare curriculum universitario pregresso. Tali piani didattici differenziati non riguarderanno in alcun modo studenti in possesso del titolo di primo livello in Ingegneria dell’Automazione conseguito presso l’Università di Bologna. 1.2 Verifica dell’adeguatezza della personale preparazione L’ammissione al Corso di Laurea Magistrale in Ingegneria dell’Automazione per laureati che hanno ottenuto un voto di laurea inferiore a 92/110 è subordinata alla valutazione della adeguatezza della carriera universitaria del richiedente da parte del Consiglio di Corso di Studio. In questi casi, l’adeguatezza della personale preparazione è verificata per laureati che soddisfino tutti i seguenti requisiti:

– Possesso di almeno 42 CFU nei SSD ING-IND/13, ING-IND/32, o ING-INF/04;

– Possesso di almeno 30 CFU nei SSD ING-INF/01, ING-INF/04, o ING-INF/05;




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– Possesso di almeno 24 CFU nei SSD MAT/07, ING-IND/14, ING-IND/31, ING-IND/35. Il predetto limite sul voto di Laurea è ridotto a 85/110 per i laureati nell’A.A. 2011-2012 e precedenti. Nel caso di laureati con titolo universitario estero per il quale siano possibili la conversione del voto di laurea secondo il sistema italiano, l’identificazione dei settori scientifico-disciplinari e il numero di crediti conseguiti in ciascun settore, si adottano gli stessi criteri validi per i laureati italiani. In caso contrario, il Consiglio di Corso di Studio procede alla valutazione della carriera: in particolare, approfondita conoscenza di controlli automatici e meccanica/informatica/azionamenti elettrici è richiesta ai fini dell’ammissione. Il Consiglio di Corso di Studio può esonerare lo studente dalla verifica dell’adeguatezza della personale preparazione nei casi di:

rinuncia

decadenza

presentazione di istanza di opzione dai previgenti ordinamenti

possesso di un titolo accademico o di sostenimento di attività formative in università estere

passaggio da altro corso di studio dell’Alma Mater Studiorum-Università di Bologna

trasferimento da altro Ateneo

La valutazione avviene sulla base di un’analisi della carriera pregressa.

Il Consiglio di Corso di Studio potrà prevedere - per gli studenti internazionali - un’apposita sessione e la nomina di una commissione per la verifica dell’adeguatezza della personale preparazione, compatibilmente con le tempistiche previste dal bando per l’assegnazione delle borse di studio. Gli studenti internazionali che abbiano ottenuto una valutazione positiva sono esonerati dalla successiva prova di verifica dell’adeguatezza della personale preparazione prevista per la generalità degli studenti.




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Nel caso di soddisfacimento dei requisiti curriculari sopra esposti, il Consiglio del Corso di Studi – o un suo delegato - può comunque individuare particolari carenze culturali in discipline ritenute importanti per affrontare con profitto il Corso di Laurea Magistrale in Ingegneria dell’Automazione. Allo studente a cui vengono riscontrate tali carenze in una o più aree, verrà richiesto di svolgere alcune attività supplementari con l’obiettivo di allineare le competenze richieste con i contenuti dei corsi della Laurea Magistrale. 1.3 Accertamento delle conoscenze e competenze linguistiche Per l'accesso al Corso di studio è previsto l'accertamento delle conoscenze e competenze nella lingua inglese di livello B-2 (con riferimento al CEFR). L’accertamento delle conoscenze e competenze linguistiche si considera assolto per gli studenti in possesso di certificazione linguistica (quale TOEFL, IELTS, Cambridge Esol, ..) corrispondente al livello B-2 o superiore. Qualora il candidato non sia in possesso di certificazione, una Commissione nominata dal Corso di Studi valuta le competenze linguistiche mediante un colloquio. In caso di competenza linguistica inferiore al livello richiesto, il Consiglio di Corso di studio può prevedere che lo studente debba colmare un deficit iniziale, con previsione della propedeuticità dell'idoneità B-2 rispetto agli esami del II anno. Articolo 2. Regole di mobilità fra i curricula del Corso di Studio. Piani di studio individuali È prevista la sola durata normale del Corso di Studio, cioè due anni. Gli Studenti possono presentare, entro la data stabilita annualmente dal Consiglio della Scuola di Ingegneria e Architettura, sentito il Consiglio di Corso di Studio, un piano di studi diverso da quello previsto dal Piano Didattico in vigore, purché nell’ambito delle discipline attivate e nel rispetto del numero di crediti per ciascun ambito previsto dall’Ordinamento Didattico del Corso di Studio. Tale piano è soggetto all’approvazione da parte del Consiglio di Corso di Studio sulla base della sua congruenza tra l’Ordinamento Didattico del CdS e degli obiettivi formativi specifici del Corso stesso. Il Piano Didattico del Corso di Studio Magistrale in Ingegneria dell’Automazione prevede la possibilità di ottenere un doppio titolo di studio: quello da parte dell’Università di Bologna (Laurea Magistrale in Automation Engineering) e quello rilasciato dalla Tongji University, Shanghai, Cina (MSc in Automation Engineering).




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Possono ottenere il doppio titolo studenti iscritti al corso di Laurea Magistrale in Automation Engineering dell’Università di Bologna che, durante il primo anno di studio ed entro la data stabilita annualmente dal Consiglio della Scuola di Ingegneria ed Architettura, presentino apposita domanda e siano approvati da una apposita Commissione nominata dalla Scuola di Ingegneria ed Architettura. Gli Studenti vengono selezionati sulla base dei seguenti criteri principali:

- curriculum degli studi - conoscenza della lingua inglese - criteri motivazionali

Gli studenti ammessi beneficiano di una borsa di studio, il cui ammontare viene annualmente stabilito dal Consiglio del DEI, e devono frequentare il secondo anno di studi, nonché un ulteriore periodo equivalente ad un semestre, presso la Tongji University, sostenendo gli esami e seguendo le attività formative previste. Tutte queste attività didattiche sono erogate in lingua inglese. Articolo 3. Modalità di svolgimento di ciascuna attività formativa e tipologia delle formedidattiche Ciascuna attività formativa può comportare diverse modalità di svolgimento e di interazione fra Docenti e Studenti. In particolare possono essere previste:

- lezioni in aula - esercitazioni in aula - esercitazioni pratiche - attività di laboratorio - tutorato - esercizi di autovalutazione - interazione remota attraverso la rete




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Con riferimento alla voce “Ore di attività frontale” delle tabelle riportanti le attività formative, valgono le seguenti regole:

· Nel caso delle attività per le quali è riportato un valore numerico alla voce “Ore di attività frontale”, tale valore costituisce il massimo della somma delle ore dedicate a lezioni in aula e a esercitazioni in aula o laboratorio, incluse le prove in itinere e le attività di tutorato in aula. Il valore minimo è fissato all’80% del valore riportato.

· Nel caso delle attività formative diverse dai Laboratori, la somma delle ore dedicate a lezioni ed esercitazioni in aula è compresa fra due terzi e il totale del valore indicato alla voce “Ore di attività frontale”. La parte rimanente è coperta dalle esercitazioni di laboratorio, dalle prove in itinere e dalle attività di tutorato.

· Per le attività formative di Laboratorio, le somma delle ore dedicate a lezioni e esercitazioni in aula non deve superare un quinto del valore indicato alla voce “Ore di attività frontale”. La parte rimanente è svolta in laboratorio.

Le ore relative all’attività di Tirocinio sono stabilite in base ai criteri definiti dal Regolamento del Tirocinio vigente nella Scuola, e s’intendono svolte presso la Struttura ospitante. Articolo 4. Frequenza e Propedeuticità Lo Studente non può sostenere un esame se l’attività formativa non appartiene al suo Piano di Studio, o se l’attività formativa non è ancora terminata. Per le attività formative di Laboratorio è obbligatoria la frequenza ad almeno il 70% delle ore complessive previste. Per la frequenza relativa al Tirocinio, si applicano le indicazioni del Regolamento del Tirocinio di Ateneo. Le eventuali propedeuticità sono indicate nel Piano Didattico allegato al presente Regolamento. Articolo 5. Prove di verifica delle attività formative Ciascuna attività formativa può comportare diverse modalità di verifica del profitto. In particolare possono essere previsti:

- Esame finale scritto e orale con assegnazione di un voto




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- Esame finale orale con assegnazione di un voto - Esame finale scritto con assegnazione di un voto - Prova finale con assegnazione del giudizio di idoneità

Le attività formative per le quali la verifica comporta l’attribuzione di un voto oppure un giudizio di idoneità sono indicate nel Piano Didattico. Le specifiche modalità di verifica del profitto (esame con prova orale, esame con prova scritta, ecc.) per ciascuna attività formativa sono deliberate dal Consiglio di Corso di Laurea Magistrale, o dal suo Coordinatore su delega del Consiglio stesso, su proposta del relativo Titolare. L’esame è individuale, e mira ad accertare la maturità intellettuale del Candidato e il possesso delle conoscenze e abilità che caratterizzano la materia sulla quale verte l’esame. Esso può essere preceduto da prove in itinere il cui esito negativo non influisce sull’ammissione all’esame finale. La prova orale può comunque essere preceduta da una prova scritta preliminare, il cui esito condiziona l’ammissione all’orale. Per tutti gli insegnamenti le Commissioni sono proposte dal titolare di ciascun insegnamento e nominate dal Consiglio di Corso di Laurea Magistrale, o dal Coordinatore su delega del Consiglio stesso. La verifica del profitto dell’attività di Tirocinio si svolge secondo le indicazioni del Regolamento di Tirocinio di Ateneo. Articolo 6. Attività formative autonomamente scelte dallo studente L’indicazione da parte dello Studente di attività formative a scelta guidata o a scelta autonoma deve essere presentata alla Segreteria Studenti (Ufficio Gestione Carriere Studenti, Unità di Servizio Didattico Area Scientifica, Scuola di Ingegneria e Architettura) entro i termini e secondo le modalità deliberati annualmente dal Consiglio della Scuola stessa e resi noti tramite il Portale d’Ateneo. Per quanto riguarda le attività formative a scelta autonoma, lo Studente può effettuare, tra tutte le attività attivate o riconosciute dall’Ateneo, anche scelte diverse da quelle consigliate , purché coerenti con gli obiettivi formativi del Corso di Studi. In questo caso la sua richiesta verrà inoltrata al Consiglio di Corso di Laurea Magistrale. La richiesta di variazione di insegnamenti a scelta autonoma, purché fatta entro i termini e nell’ambito delle scelte consigliate, non richiede approvazione da parte del Consiglio di Corso di Laurea Magistrale.




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Articolo 7. Criteri di riconoscimento dei crediti acquisiti in Corsi di Studio della stessa classe Questo articolo si applica solo agli Studenti in possesso di un titolo di Laurea Magistrale acquisito in Italia conforme alle disposizioni del Decreto Ministeriale 270/2004 e appartenente alla classe LM-25. Il riconoscimento dei crediti nella carriera degli Studenti persegue il fine della mobilità degli Studenti ed è deliberato dal Consiglio di Corso di Studio, fino a concorrenza dei crediti dello stesso settore scientifico disciplinare previsti dall’Ordinamento didattico del corso di studio, nel rispetto dei relativi ambiti scientifico disciplinari e della tipologia delle attività formative. Qualora, effettuati i riconoscimenti in base alle norme del presente regolamento, residuino crediti non utilizzati, il Consiglio di Corso di studio può riconoscerli valutando il caso concreto sulla base delle affinità didattiche e culturali. Al fine di integrare eventuali carenze di crediti in un determinato Settore Scientifico Disciplinare, a seguito del riconoscimento operato ai sensi del presente Regolamento, il Consiglio di Corso di Studio ha la facoltà di istituire alcune attività formative integrative, distinte per Settore Scientifico-Disciplinare (SSD) o gruppi di settori omogenei, quali cicli di seminari, attività di laboratorio, attività di studio guidato, ecc. Il valore in crediti delle attività integrative varia da uno a tre e comunque deve essere inferiore al valore previsto per l’insegnamento da integrarsi. La valutazione avviene mediante giudizio di idoneità. Articolo 8. Criteri di riconoscimento dei crediti acquisiti in Corsi di Studio di diversa classe, presso università telematiche e in Corsi di Studio internazionali I crediti formativi universitari acquisiti sono riconosciuti dal Consiglio di Corso di Studio sulla base dei seguenti criteri:

-analisi del programma svolto -numero complessivo di ore di didattica svolte -valutazione della congruità dei settori scientifico disciplinari e dei contenuti delle attività formative in cui lo studente ha maturato i crediti con gli obiettivi formativi specifici del corso di studio e delle singole attività formative da riconoscere, perseguendo comunque la finalità di mobilità degli studenti.

Il riconoscimento è effettuato fino a concorrenza dei crediti formativi universitari previsti dall’ordinamento didattico del Corso di Studio. Qualora, effettuati i riconoscimenti in base alle norme del presente regolamento, residuino crediti non utilizzati, il Consiglio di Corso di Studio può riconoscerli valutando il caso concreto sulla base delle affinità didattiche e culturali.




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Articolo 9. Criteri di riconoscimento delle conoscenze e abilità extrauniversitarie Il Consiglio di Corso di Studio può procedere al riconoscimento di conoscenze e abilità professionali certificate ai sensi della normativa vigente in materia, nonché di altre conoscenze e abilità maturate in attività formative di livello post-secondario alla cui progettazione e realizzazione abbia concorso una università italiana pubblica o legalmente riconosciuta, fino ad un massimo di 12 CFU. Il Consiglio di Corso di Studio valuta l’esperienza svolta in base alla congruità con gli obiettivi formativi del Corso di Studio e alla sua durata in termini di ore. Articolo 10. Modalità di svolgimento della prova finale È ammesso a sostenere la prova finale lo Studente che abbia conseguito tutti i crediti esclusi quelli relativi alla prova finale. La prova finale è costituita da una Tesi di Laurea Magistrale, consistente in una importante attività di progettazione o di ricerca. Tale attività deve concludersi con un elaborato con contenuti originali che dimostri l’autonomia, la padronanza degli strumenti culturali propri dell’Ingegneria Magistrale dell’Automazione e la capacità di comunicazione del candidato. L’elaborato verte su un argomento coerente con gli obbiettivi formativi del Corso di Laurea stesso. La discussione della tesi di laurea magistrale è pubblica e viene svolta davanti alla Commissione di Laurea Magistrale. Il voto di Laurea Magistrale è espresso in centodecimi. Il conferimento della lode richiede il giudizio unanime della Commissione esaminatrice.

Art. 11: Coerenza fra i crediti assegnati alle singole attività formative e gli specifici obiettivi formativi programmati La Commissione Paritetica della Scuola di Ingegneria e Architettura in data 6 Dicembre 2017 ha espresso parere favorevole in materia di coerenza fra i crediti assegnati alle singole attività formative e gli specifici obiettivi formativi programmati, ai sensi dell’articolo 12, comma 3, del D.M. 270/04.




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COURSE STRUCTURE

PIANO DIDATTICO

Learning Activities According to the Master Degree Programme Regulation, learning activities are divided into 5 different types:

Type B: Core Type C: Affine Type D: Open electives Type E: Thesis Type F: Others (stage, laboratories, computer and social skills, additional language skills).

Mandatory learning activities As far as mandatory learning activities type B, C and E are concerned, the student must include subjects for a total of 84 credits according the following rules:

45 credits chosen among the learning activities listed in type B

18 credits chosen among the learning activities listed in type C

21 credits chosen among the learning activities listed in type E Restricted elective learning activities As for restricted elective learning activities type B, C and F is concerned, the Student must choose subjects for a total amount of 24 credits according the following rules:

12 credits chosen among the learning activities listed in type B




21

6 credits chosen among the learning activities listed in type C

6 credits chosen among the learning activities in type F Open elective learning activities (type D) The Degree Board suggest to choose 12 credits among the learning activities listed in type D. Each learning activity consists in classes and, in some cases, laboratory hours. Classes aim at discussing theoretical topics and their explanation through case studies and exercises; they consist in lectures and exercises. Activity in the laboratory aims at the application of the concepts illustrated in the classroom through practical, design and experimental activities; it consists of exercises and/or laboratory-based activities to be performed under the guidance of the Professor or Teaching Assistant.

_____________

Attività formative Le attività formative sono distinte, come da Ordinamento Didattico del Corso di Studio, in 5 tipologie:

- Tipologia B: Caratterizzanti - Tipologia C: Affini o integrative - Tipologia D: A scelta libera dello Studente - Tipologia E: Prova finale - Tipologia F: Altre (tirocinio, laboratori, abilità informatiche e relazionali, ulteriori conoscenze linguistiche).

Il Piano Didattico prevede attività formative obbligatorie, a scelta guidata e a scelta libera.




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Per quanto concerne le attività formative a scelta libera, il Consiglio di Corso di Studio suggerisce allo Studente di operare la selezione nell’ambito delle attività indicate in tipologia D.

Alle attività formative obbligatorie corrispondono complessivamente 84 crediti (CFU), a quelle a scelta guidata 24 CFU, a quelle a scelta libera 12 CFU, per un totale di 120 CFU. Attività formative obbligatorie Per quanto concerne le attività formative obbligatorie di tipologia B, C ed E, lo studente deve inserire attività per un totale di 84 CFU secondo le regole seguenti:

• 45 CFU con attività presenti in tipologia B • 18 CFU con attività presenti in (tipologia C • 21CFU con attività presenti in tipologia E

Attività formative a scelta guidata Per quanto concerne le attività formative a scelta guidata di tipologia B, C ed F, lo studente deve scegliere insegnamenti per un totale di 24 CFU secondo le regole seguenti:

• 12 CFU con attività scelte nell’ambito di quelle presenti in tipologia B; • 6 CFU con attività scelte nell’ambito di quelle presenti in tipologia C; • 6 CFU con attività scelte nell’ambito di quelle presenti in tipologia F.

Attività formative a scelta libera (tipologia D) Il Consiglio di Corso di Studio suggerisce di operare la selezione di insegnamenti per 12 CFU nell’ambito delle attività indicate. Ogni attività formativa è costituita da una parte di didattica in aula e da un’eventuale parte di didattica in laboratorio. La didattica in aula ha come obiettivo la trattazione di argomenti di carattere teorico e la loro esemplificazione tramite casi di studio ed esercitazioni; essa consiste in lezioni in aula, esercitazioni e attività di tutorato.




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La didattica in laboratorio ha come obiettivo l’applicazione pratica dei contenuti presentati in aula mediante attività di tipo pratico, progettuale o sperimentale; essa consiste in esercitazioni pratiche e attività di laboratorio da svolgersi sotto la guida del Docente eventualmente coadiuvato da tutor.




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STUDY PLAN FOR STUDENTS ENROLLED IN A.Y. 2018/19 PIANO DIDATTICO PER GLI STUDENTI IMMATRICOLATI NELL’A.A. 2018/2019

First year / Primo Anno di Corso

1) Mandatory courses (pr. 1) Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

78812

DISCRETE TIME SYSTEMS IDENTIFICATION AND CONTROL M Learning outcomes/Obiettivi formativi: The course aims to introduce the main techniques for identifying discrete time systems with particular reference to the family of equation errors models used for prediction and control. The main arguments that are presented in the course are stochastic optimal estimation, Kalman prediction and filtering in the discrete time setting and advanced digital control schemes. At the end of the course students are able to run basic identification algorithms for linear systems and to master design and implementation aspects of digital control systems. Assessment/Valutazione: Mark/Voto.

ING-INF/04 Core

Caratterizzante 6 60 B I




25

Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

78809

MATHEMATICAL METHODS FOR AUTOMATION ENGINEERING M Learning outcomes/Obiettivi formativi: The objective of the course is to introduce advanced mathematical tools that are instrumental in many fields of automation engineering. Specific topics that are presented in the course regard fundamentals in probability theory, combinatorial calculus, random variables and calculus, stochastic processes, elements of statistics. Besides theoretical tools the course will introduce SW packages for handling stochastic variables. At the end of course students masters key statistical tools that play a role in estimation, filtering and control. Assessment/Valutazione: Mark/Voto.

MAT/07 Affine 6 60 C I

84229

MECHANICS OF MACHINES FOR AUTOMATION M Learning outcomes/Obiettivi formativi: The course aims to present complementary aspects of construction of automatic machines that are particular pertinent for automation engineering. Elements of machine design and strength of materials are presented with emphasis to fatigue analysis and structural analysis. At the end of the course students have an insight on the principles of construction of machines that are particularly suited for automation engineering. Also this course aims to strengthen the multidisciplinary knowledge and skills that are required for the development of mechatronic systems (which result from the strong integration of mechanical components with electronics and control algorithms). Advanced methods for the multi-physic modelling, simulation, optimization and control of mechatronic systems (operating in both static and dynamic regimes) will complement the basic methodologies developed at bachelor level. Application of these methods will be shown for the analysis of practical electro-mechanical sensors and actuators, as well as for the synthesis of complex mechatronic systems employing a combination thereof. At the end of the course students master methods and tools for modeling and design of integrated mechatronic systems. Assessment/Valutazione: Mark/Voto.

ING-IND/13 Core

Caratterizzante

9 6 3

90 60 30

B II




26

Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

78810

REAL TIME SYSTEMS FOR AUTOMATION M Learning outcomes/Obiettivi formativi: The course covers the fundamentals of modern real-time operating systems. Arguments addressed in the course are architecture, organization, and functionalities of modern operating systems, task management and resource allocation, mechanisms and tools for synchronisation and concurrent programming, characteristics of real-time operating systems and main scheduling algorithms for hard real-time periodic processes. A part of the course is also devoted to supervised lab activity, with a focus on Linux and RTAI. At the end of the course students master all the fundamental aspect of informatics that are instrumental for the design and control of automatic systems. Assessment/Valutazione: Mark/Voto.

ING-INF/05 Affine

12 6 6

120 60 60

C I II

78763 SYSTEM THEORY AND ADVANCED CONTROL M C.I.

ING-INF/04

Core Caratterizzante

12 120

B

35169 ADVANCED CONTROL SYSTEMS M Learning outcomes/Obiettivi formativi: The course will address modern multivariable control schemes starting from optimal control and estimation (both in the deterministic and stochastic setting), adaptive and robust control, also presenting basic aspects of nonlinear control systems. The analysis and the synthesis tools are mainly focused on continuous-time systems. At the end of the course students have a deep knowledge of modern control tools for multivariable systems, and are able to systematically handle uncertainties in control systems. Assessment/Valutazione: Mark/Voto.

6 60 II

78764 SYSTEM THEORY M Learning outcomes/Obiettivi formativi: The course will provide students with the fundamental tools for the analysis of multivariable dynamic systems and their structural properties. Basic tools of system theory will be introduced. The main topics of the course are related to possible representation of dynamic linear systems, structural properties (stability, observability, controllability), special normal forms, Kalman decomposition, and others. At the end of the course students master all the basic principles of system theory by studying in a systematic way properties of multivariable dynamic systems. Assessment/Valutazione: Mark/Voto.

6 60 I




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2) Elective courses (pr. 2): 6-6 Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

87214

ADVANCED PRESCRIPTIVE ANALYTICS M Learning outcomes/Obiettivi formativi: The aim of this course is to provide the advanced methods for the solution of difficult optimization problem and their applications.

a) Algoritmi per problemi difficili di teoria dei grafi ed ottimizzazione su rete.

Graph coloring, paths and circuits, network synthesis (location/allocation)…

Heuristics for graph and network optimization problems. b) Advanced heuristics and exact methods for discrete optimization problems.

Branch and cut and Column generation methods. Problem decomposition techniques.

Metaheuristics for discrete optimization problems. c) Optimization with uncertainty. Stochastic optimization and Monte Carlo methods. Heuristics for Stochastic

optimization. Robust optimization: reformulations and solution algorithms. d) Prescriptive analytics and Decision Support. Decision analysis and decision trees. Algorithms configuration,

Clustering and Classification. Big Data and large scale problems. e) Applications in telecommunications, energy distribution and circuits, automation and production (machine

scheduling, job/flow shop). Assessment/Valutazione: Mark/Voto. Note: This course is taken from the Second-cycle Degree 9205 Telecommunications Engineering.

MAT/09 Affine 6 60 C II




28

Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

35152

HARDWARE-SOFTWARE DESIGN OF EMBEDDED SYSTEMS M Learning outcomes/Obiettivi formativi: The main goal of the class is to provide an overview on the methods for designing, validating and verifying complex embedded electronic systems. The importance of software components in virtually all electronic systems will be emphasized. Thus, special focus will be given to hardware-software co-design methods and tools. The most common Hw-Sw co-design approaches used in industry (telecom, automotive, industrial automation) will be surveyed in details. At the end of the course students have a good insight of embedded systems, their technologies and a deep understanding of Hw-Sw co-design aspects. Assessment/Valutazione: Mark/Voto. Note: This course is taken from the 2nd cycle Degree 0934-Ingegneria Elettronica.

ING-INF/01 Affine 6 60 C II

69661

IMAGE PROCESSING AND COMPUTER VISION M Learning outcomes/Obiettivi formativi: The course aims to introduce basic knowledge about algorithms, tools and systems for the management, processing and analysis of digital images. The main topics of the course are filtering aspects of digital images, algorithms for image processing, algorithms for segmentation and classification of objects in digital images. Theoretical aspects that are introduced in the course are then applied to the design and manufacturing capabilities of simple systems oriented to real world applications. At the end of the course students are able to master basic digital image processing techniques and know potentials of this technology in applicative research and industrial contexts. Assessment/Valutazione: Mark/Voto. Note: This course is taken from the activity “Computer vision and Image processing” (2nd cycle Degree in Ingegneria Informatica).

ING-INF/05 Affine 6 60 C I

73924

POWER ELECTRONIC CIRCUITS M Learning outcomes/Obiettivi formativi: The goal of the course is to provide supplements of linear and non-linear electric circuits with special emphasis towards power electronic circuits. The main topics addressed in the course regards current and voltage harmonic distortion and powers in non-sinusoidal steady-state, Power diodes and SCRs, single phase and three phases rectifiers, Power electronic switches, emerging component, basics of pulse width modulation (PWM), single-phase and three-phase inverters and others. At the end of the course students master power electronics technologies with a special emphasis towards the automation field. The course provides basic in power electronics that are instrumental to the course “Electric Drives for Automation M”. Assessment/Valutazione: Mark/Voto.

ING-IND/31 Affine 6 60 C I




29

Secondo Anno di Corso

1) Mandatory courses (pr. 3) Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

84228

INDUSTRIAL ROBOTICS M Learning outcomes/Obiettivi formativi: The course provides the basic competencies in the field of industrial robotics. The main topics addressed in the course are basic concepts of robotics (kinematic and dynamic models, basic control schemes), illustration of advanced control schemes for position and force control of industrial manipulators (robust control, adaptive control, learning control, stiffness, impedance, hybrid position/force), trajectory planning for robots and automated machines, modeling and control aspects of mobile robotics. Theoretical aspects presented in the course are then used in practical activities on designing and controlling a mobile robot (LEGO). Advanced robotic applications (robotics in medicine, haptic systems, telemanipulation, etc.) are also presented. At the end of the course students know basic robotic technologies and they master modeling and advanced control aspects of robots used in industrial and research settings. Assessment/Valutazione: Mark/Voto.

ING-INF/04 Core

Caratterizzante

9 6 3

90 60 30

B I

78983

MECHATRONICS SYSTEMS MODELING AND CONTROL M Learning outcomes/Obiettivi formativi: By taking inspiration from real world problems in automation that are not strictly related to the automatic machine scenario, the course aims at illustrating the main principles and methodologies for the integrated development of a mechatronic system, starting from its modelling and simulation, towards the implementation of proper control laws, that can be verified on the simulative model. Such general principles are then examined in deep and with a more applicative and control-oriented perspective, thanks to one or more projects that students have to develop under the instructor supervision. Lab activities on real setups characterize this course. At the end of the course the students will master lab tools for programming control system units and have a deep understanding of issues regarding implementation of real time control systems. Assessment/Valutazione: Mark/Voto.

ING-INF/04 Core

Caratterizzante

9 6 3

90 60 30

B I II




30

2) Final examination (21-21)

2.1) Group A (pr. 8) – 0-21 Scope ambito

cfu taf

60750 FINAL EXAMINATION Others

Altre attività 21 E

2.2) Group B (pr. 9) – 0-21

Scope ambito cfu taf

86301 FINAL EXAMINATION Others

Altre attività 3 E

84551 INTERNSHIP ABROAD FOR PREPARATION FOR THE FINAL EXAMINATION Others


86296 INTERNSHIP FOR PREPARATION FOR THE FINAL EXAMINATION Others


84548 PREPARATION FOR THE FINAL EXAMINATION ABROAD Others





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3) Elective courses (First group): 12-12 Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

87269

AUTOMATION SOFTWARE AND DESIGN PATTERNS M Learning outcomes/Obiettivi formativi: The course aims to provide a rational view of the main principles, methodological issues, design patterns and integrated development environments involved in the implementation of modern automation systems. At the end of the course students are able to master design aspects of advanced software architectures for complex automated machines. Assessment/Valutazione: Mark/Voto.

ING-INF/04 Core

Caratterizzante 6 60 B II

35166

DIAGNOSIS AND CONTROL M Learning outcomes/Obiettivi formativi: The course aims to give a systematic overview of the main available methodologies and of the technical norms that should be used to rationally overcome problems due to faults and malfunctioning affecting modern automatic systems. Fault diagnosis and fault tolerant control methodologies as well as the functional safety tools, norms and standards that regulate safety-critical systems design will be topics of the course. At the end of the course students are able to design algorithms for fault detection, to design fault tolerant schemes, and have an overview of safety norms in industrial settings. Assessment/Valutazione: Mark/Voto.

ING-INF/04 Core


35168

DISTRIBUTED CONTROL SYSTEMS M Learning outcomes/Obiettivi formativi: The course provides the basic principles for distributed control systems, both functionally and architecturally. The main topics are basic principles of decentralized and distributed control, consensus algorithms and their application to synchronization and coordination problems, control of homogeneous multi-agent systems, estimation and filtering in distributed systems environment, characteristics of HW/SW architectures for real-time distributed systems, the role of digital networks in real-time systems, synchronization issues and time management in distributed systems, interaction of real-time processes in distributed systems. At the end of the course students have a deep knowledge of the problems regarding distributed systems and of the tools to develop control and estimation solution in distributed environments. Assessment/Valutazione: Mark/Voto.

ING-INF/04 Core





32

Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

69659

ELECTRIC DRIVES FOR AUTOMATION M Learning outcomes/Obiettivi formativi: The aim of this course is to present advanced problems concerning electrical drives and power electronics for energy conversion. The main topic of the course is the control of high-performance vector drives and power converters used in typical industrial applications, and in more recent applications, such as wind energy plants, solar plants and electric vehicles. The main topics presented in the course are d-q models of electrical machines, fundamentals of the voltage modulation in power converters, modern control schemes for induction machines, anisotropic synchronous machines, reluctance motors and linear actuators, back-to-back converters, UPS and active filters, and their applications in modern smart grids. At the end of the course the students have a deep insight about electrical drives and their advanced control schemes, and know basic tools and technologies for energy conversion. The course requires a previous knowledge of the fundamentals of electrical machines and power electronics. Power electronic fundamentals are given in the course “Power Electronic Circuits M”. Assessment/Valutazione: Mark/Voto.

ING-IND/32 Core


84232

FUNDAMENTALS OF MECHANICS OF MACHINES M Learning outcomes: The course aims at strengthening the knowledge of the structure of machines and mechanisms with particular attention to the kinematic, kinetostatic and dynamic analysis of systems with rigid links and to the dynamics of cycle machines. Advanced methods of analysis and synthesis of mechanisms, cams and gears will complement the basic concepts developed at the bachelor level. Elements of machine design and strength of materials are also presented with emphasis to fatigue analysis and structural analysis. At the end of the course students have a deep understanding of all the elements of mechanics that are fundamental for industrial automation, mastering design and construction principles that play a role in modern automatic machines. Assessment/Valutazione: Mark/Voto.

ING-IND/13 Core





33

4) Elective courses (Second group): 6-6 Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

82522 INTERNSHIP Learning outcomes/Obiettivi formativi: Experience on industrial automation design aspects (about 150 hrs). Assessment/Valutazione: Pass-Fail/Idoneità.

- Others

Altre attività 6 - F I/II

78858

LABORATORY OF BUSINESS PLAN M Learning outcomes/Obiettivi formativi: The overall purpose of the course is for students to acquire knowledge and abilities within the area of entrepreneurship, with particular focus on idea feasibility analysis and business planning for new, innovative, technology based ventures. After the course, students are able to account for and compare different theories that describe what it takes to start up and organize innovative ventures, to account for the information and the analyses needed to do a feasibility analysis and write a draft business plan for an innovative venture and have the ability to collect and analyze relevant information for that purpose. They are also able to communicate a feasibility analysis/business plan orally and in writing. Assessment/Valutazione: Pass-Fail/Idoneità.

ING-IND/35 Other activities

Altre attività 3 30 F I

78860

TOPIC HIGHLIGHT M Learning outcomes/Obiettivi formativi: In this course the most advanced methodology and technology aspects related to automation systems will be presented by internationally qualified experts in the field. The topic will change every year according to the international trend of the automation field. Assessment/Valutazione: Pass-Fail/Idoneità.

- Other activities

Altre attività 3 30 F II




34

5) Courses freely chosen by the student – Type D (12-18) – Corsi a scelta libera dello studente – TAF D Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

87214

ADVANCED PRESCRIPTIVE ANALYTICS M Learning outcomes/Obiettivi formativi: The aim of this course is to provide the advanced methods for the solution of difficult optimization problem and their applications. a) Algoritmi per problemi difficili di teoria dei grafi ed ottimizzazione su rete.

Graph coloring, paths and circuits, network synthesis (location/allocation)…

Heuristics for graph and network optimization problems. b) Advanced heuristics and exact methods for discrete optimization problems.

Branch and cut and Column generation methods. Problem decomposition techniques.

Metaheuristics for discrete optimization problems. c) Optimization with uncertainty. Stochastic optimization and Monte Carlo methods. Heuristics for Stochastic

optimization. Robust optimization: reformulations and solution algorithms. d) Prescriptive analytics and Decision Support. Decision analysis and decision trees. Algorithms configuration, Clustering

and Classification. Big Data and large scale problems. e) Applications in telecommunications, energy distribution and circuits, automation and production (machine scheduling,

job/flow shop). Assessment/Valutazione: Mark/Voto.

Note: This course is taken from the Second-cycle Degree 9205 Telecommunications Engineering.

MAT/09 Other activities

Altre attività 6 60 D II

87269

AUTOMATION SOFTWARE AND DESIGN PATTERNS M Learning outcomes/Obiettivi formativi: The course aims to provide a rational view of the main principles, methodological issues, design patterns and integrated development environments involved in the implementation of modern automation systems. At the end of the course students are able to master design aspects of advanced software architectures for complex automated machines. Assessment/Valutazione: Mark/Voto.

ING-INF/04 Other activities





35

Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

35166

DIAGNOSIS AND CONTROL M Learning outcomes/Obiettivi formativi: The course aims to give a systematic overview of the main available methodologies and of the technical norms that should be used to rationally overcome problems due to faults and malfunctioning affecting modern automatic systems. Fault diagnosis and fault tolerant control methodologies as well as the functional safety tools, norms and standards that regulate safety-critical systems design will be topics of the course. At the end of the course students are able to design algorithms for fault detection and tolerant schemes, and have an overview of safety norms in industrial settings. Assessment/Valutazione: Mark/Voto.


Altre attività 6 60 D I

35168

DISTRIBUTED CONTROL SYSTEMS M Learning outcomes/Obiettivi formativi: The course provides the basic principles for distributed control systems, both functionally and architecturally. The main topics are basic principles of decentralized and distributed control, consensus algorithms and their application to synchronization and coordination problems, control of homogeneous multi-agent systems, estimation and filtering in distributed systems environment, characteristics of HW/SW architectures for real-time distributed systems, the role of digital networks in real-time systems, synchronization issues and time management in distributed systems, interaction of real-time processes in distributed systems. At the end of the course students have a deep knowledge of the problems regarding distributed systems and of the tools to develop control and estimation solution in distributed environments. Assessment/Valutazione: Mark/Voto.



69659

ELECTRIC DRIVES FOR AUTOMATION M Learning outcomes/Obiettivi formativi: The aim of this course is to present advanced problems concerning electrical drives and power electronics for energy conversion. The main topic of the course is the control of high-performance vector drives and power converters used in typical industrial applications, and in more recent applications, such as wind energy plants, solar plants and electric vehicles. The main topics presented in the course are d-q models of electrical machines, fundamentals of the voltage modulation in power converters, modern control schemes for induction machines, anisotropic synchronous machines, reluctance motors and linear actuators, back-to-back converters, UPS and active filters, and their applications in modern smart grids. At the end of the course the students have a deep insight about electrical drives and their advanced control schemes, and know basic tools and technologies for energy conversion. The course requires a previous knowledge of the fundamentals of electrical machines and power electronics. Power electronic fundamentals are given in the course “Power Electronic Circuits M”. Assessment/Valutazione: Mark/Voto.






36

Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

87236

ELECTRIC POWER SYSTEMS M Learning outcomes/Obiettivi formativi: The course provides the basics for understanding the main aspects of modern power systems/smart grids analysis and operation in steady state and transient/dynamic conditions. At the end of the course students are able to understand the main technical problems relevant to transmission and distribution of electric energy, and can solve them with particular reference to load flow, short circuit calculation, stability, frequency control, voltage control and renewable sources diffusion in the electric network and smart grids. Assessment/Valutazione: Mark/Voto.

Note: This course is taken from the namesake activity provided by the Second-cycle Degree 8611-Ingegneria dell’Energia Elettrica. Nota: Il corso mutua dall’attività formativa omonima erogata dal CdLM 8611 Ing. dell’Energia Elettrica.



35152

HARDWARE-SOFTWARE DESIGN OF EMBEDDED SYSTEMS M Learning outcomes/Obiettivi formativi: The main goal of the class is to provide an overview on the methods for designing, validating and verifying complex embedded electronic systems. The importance of software components in virtually all electronic systems will be emphasized. Thus, special focus will be given to hardware-software co-design methods and tools. The most common Hw-Sw co-design approaches used in industry (telecom, automotive, industrial automation) will be surveyed in details. At the end of the course students have a good insight of embedded systems, their technologies and a deep understanding of Hw-Sw co-design aspects. Assessment/Valutazione: Mark/Voto.

Note: This course is taken from the namesake activity provided by the Second-cycle Degree 0934-Ingegneria Elettronica. Nota: Il corso mutua dall’attività formativa omonima erogata dal CdLM 0934-Ingegneria Elettronica.






37

Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

69661

IMAGE PROCESSING AND COMPUTER VISION M Learning outcomes/Obiettivi formativi: The course aims to introduce basic knowledge about algorithms, tools and systems for the management, processing and analysis of digital images. The main topics of the course are filtering aspects of digital images, algorithms for image processing, algorithms for segmentation and classification of objects in digital images. Theoretical aspects that are introduced in the course are then applied to the design and manufacturing capabilities of simple systems oriented to real world applications. At the end of the course students are able to master basic digital image processing techniques and know potentials of this technology in applicative research and industrial contexts. Assessment/Valutazione: Mark/Voto. Note: This course is taken from the Second-cycle Degree Ingegneria Informatica.

Note: This course is taken from the activity “Computer vision and Image processing” provided by the Second-cycle Degree in Ingegneria Informatica. Nota: Il corso mutua dall’attività formativa “Computer vision and Image processing” erogata dal CdLM in Ing. Informatica.



87224

INDUSTRIAL AND LOGISTICS SYSTEMS M Learning outcomes/Obiettivi formativi: This class provides the background and the quantitative methods and tools to drive the design and management of the flexible industrial and logistics systems. At the end of the class, the attendants know the key aspects and they are able to choose, design and manage manufacturing and assembly systems, storage areas and handling systems to meet high standards of technical and economic performance. Assessment/Valutazione: Mark/Voto.



69718

LABORATORY ON INTERNATIONAL INDUSTRIAL RESEARCH M Learning Outcomes/Obiettivi formative: Study and analysis of the tools/methods/concepts to be used for the development of the thesis work in an international context, considering the state-of-the art technoogies and methodological approaches. Assessment/Valutazione: Pass-Fail/Idoneità.

Other activities





38

Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

33976

OLEODINAMICA E PNEUMATICA M Learning outcomes/Obiettivi formativi: L’obiettivo del corso è fornire le conoscenze necessarie per acquisire dimestichezza con i componenti e con i circuiti impiegati negli azionamenti industriali e nelle grandi macchine. Alla fine del corso gli studenti avranno padronanza nella comprensione e nel tracciamento degli schemi operativi secondo le simbologie unificate. Assessment/Valutazione: Mark/Voto.

Note: This course is taken from the namesake activity provided by Second-cycle Degree 0938-Ingegneria Meccanica. Nota: Il corso mutua dall’attività formativa omonima erogata dal CdLM 0938-Ingegneria Meccanica.



69441

OPTIMIZATION MODELS AND ALGORITHMS M Learning outcomes/Obiettivi formativi: This course will provide the foundations of mathematical optimization and graph theory and the ability to model optimization problems and presenting the main algorithms for their solution as well as the available professional solvers. Assessment/Valutazione: Mark/Voto.

Note: This course is taken from the namesake activity provided by the Second-cycle Degree 9205 Telecommunications Engineering. Nota: Il corso mutua dall’attività formativa omonima erogata dal CdLM 9205 Telecommunications Engineering.

MAT/09 Other activities


73924

POWER ELECTRONIC CIRCUITS M Learning outcomes/Obiettivi formativi: The goal of the course is to provide supplements of linear and non-linear electric circuits with special emphasis towards power electronic circuits. The main topics addressed in the course regards current and voltage harmonic distortion and powers in non-sinusoidal steady-state, Power diodes and SCRs, single phase and three phases rectifiers, Power electronic switches, emerging component, basics of pulse width modulation (PWM), single-phase and three-phase inverters and others. At the end of the course students master power electronics technologies with a special emphasis towards the automation field. The course provides basic in power electronics that are instrumental to the course “Electric Drives for Automation M”. Assessment/Valutazione: Mark/Voto.






39

Field SSD

Scope Ambito

Credits CFU

Class hours Ore

Type TAF

Cycle Ciclo

78874

PRINCIPI E METODI DELLA PROGETTAZIONE DI MACCHINE AUTOMATICHE M Learning outcomes/Obiettivi formativi: Il corso fornisce indicazioni metodologiche in merito allo sviluppo progettuale di sistemi integrati, in cui nuovi livelli di funzionalità sono ottenuti attraverso la sinergia di risorse tecnologiche complementari, quali la meccanica, l’elettrotecnica, l’elettronica e l’informatica. Particolare attenzione viene dedicata agli aspetti di pianificazione del progetto ed alla organizzazione dell’iter progettuale. Il progetto di macchine automatiche è particolarmente enfatizzato nel progetto. Il corso prevede una didattica di tipo “teaching by doing” basata sullo sviluppo di esercitazioni di progetto. Alla fine del corso lo studente ha una conoscenza approfondita di principi di progettazione integrata di macchine automatiche. Assessment/Valutazione: Mark/Voto. Note: This course is taken from the Second-cycle Degree 0938-Ingegneria Meccanica.



73548

WIRELESS SENSOR NETWORKS M Learning outcomes/Obiettivi formativi: This course shortly introduces to wireless communications and the main applications of WSNs. It aims at describing those wireless technologies enabling the deployment of WSNs. After a theoretical part discussing the impact of the radio environment, energy constraints and the basic elements of data aggregation techniques, laboratory activities will follow where students will use wireless devices and will realize and test the performance of WSNs in realistic environments. At the end of the course students will have a good knowledge about wireless sensor networks with a practical experience on how networks can be used in realistic environments. Assessment/Valutazione: Mark/Voto.

Note: This course is taken from the namesake activity provided by the Second-cycle Degree 9205 Telecommunications Engineering. Nota: Il corso mutua dall’attività formativa omonima erogata dal CdLM 9205 Telecommunications Engineering.



TOTAL NUMBER OF CREDITS TO BE COMPLETED: 120

TOTALE COMPLESSIVO DEI CREDITI: 120




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PROGRAMME SCHEDULE - PROSPETTO ATTUATIVO DEL PIANO DIDATTICO

FIRST YEAR / PRIMO ANNO

First semester / Primo ciclo Second semester / Secondo ciclo

Learning activity Attività formativa

Type TAF

Credits CFU


Type TAF

Credits CFU

78809 MATHEMATICAL METHODS FOR AUTOMATION ENGINEERING M

C 6 84229 MECHANICS OF MACHINES FOR AUTOMATION M

- Modulo 1 - Modulo 2

B 9 6 3

78763 SYSTEM THEORY AND ADVANCED CONTROL M (C.I.)1 - 78764 System Theory M

B 12 6

78763 SYSTEM THEORY AND ADVANCED CONTROL M (C.I.)1 - 35169 Advanced Control Systems M

B 12 6

78810 REAL TIME SYSTEMS FOR AUTOMATION M 2

- Modulo 1 C

12 6

78810 REAL TIME SYSTEMS FOR AUTOMATION M 1

- Modulo 2 C

12 6

78812 DISCRETE TIME SYSTEMS IDENTIFICATION AND CONTROL M

B 6

Elective courses (6 Credits): Student must choose one subject from the list reported in Table 1.1. Attività formative a scelta guidata (6 cfu): Lo studente operi la scelta nell’ambito delle attività in Tabella 1.1

1 The course is divided in two parts of 6 credits each, given one in the first, the other in the second semester respectively /L’insegnamento è suddiviso in due parti da 6 CFU cadauno, erogati rispettivamente nel I e nel II ciclo. 2 The course is divided in two modules of 6 credits each, given one in the first, the other in the second semester respectively /L’insegnamento è suddiviso in due moduli da 6 CFU cadauno, erogati rispettivamente nel I e nel II ciclo.




41

Table 1.1 - Tabella 1.1

Elective courses (6 credits) - Student must choose one subject from the list reported in Table 1.1 Attività formative a scelta guidata (6 CFU) - Si operi la scelta nell’ambito delle attività in Tabella 1.1



Type TAF

Credits CFU


Type TAF

Credits CFU

69661 IMAGE PROCESSING AND COMPUTER VISION M

C 6 35152 HARDWARE-SOFTWARE DESIGN OF EMBEDDED SYSTEMS M

C 6

73924 POWER ELECTRONIC CIRCUITS M C 6 87214 ADVANCED PRESCRIPTIVE ANALYTICS M C 6




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SECOND YEAR - SECONDO ANNO



Type TAF

Credits CFU


Type TAF

Credits CFU

78983 MECHATRONICS SYSTEMS MODELLING AND CONTROL M 3

- Modulo 1

B 9 6

78983 MECHATRONICS SYSTEMS MODELLING AND CONTROL M - Modulo 2

B 9 3

85228 INDUSTRIAL ROBOTICS M - Modulo 1

- Modulo 2

B 9 6 3

FINAL EXAMINATION Or/oppure

Final examination + Internship for preparation for the final examination Or/oppure

Final examination + Internship abroad for preparation for the final examination Or/oppure

Final examination + Preparation for the final examination abroad

E 21

3+18

3+18

3+18

3 The course is divided in two modules of 6 credits each, given one in the first, the other in the second semester respectively /L’insegnamento è suddiviso in due moduli da 6 CFU cadauno, erogati rispettivamente nel I e nel II ciclo.




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Elective courses Type B (12 Credits) - Student must choose two subjects from list reported in Table 2.1. Attività formative a scelta guidata TAF B (12 CFU) – Lo studente scelga due attività tra quelle indicate in Tabella 2.1.

Elective courses Type F (6 Credits) - Student must choose activity(-ies) among those listed in Table 2.2. Attività formative a scelta guidata (6 CFU) – Lo studente operi la scelta tra le attività indicate in Tabella 2.2.

Courses freely chosen by the student Type D (12 Credits) – Courses listed in table 2.3 have been approved by the Degree Board. Attività formative a scelta libera dello studente TAF D (12 CFU) – Le attività elencate in tabella 2.3 sono considerate coerenti dal Consiglio di Corso di Studio.

Table 2.1 - Tabella 2.1 Elective courses (12 credits) - Attività formative a scelta guidata (12 CFU)



Type TAF

Credits CFU


Type TAF

Credits CFU

35168 DISTRIBUTED CONTROL SYSTEMS M B 6 69659 ELECTRIC DRIVES FOR AUTOMATION M B 6

35166 DIAGNOSIS AND CONTROL M B 6 84232 FUNDAMENTALS OF MECHANICS OF MACHINES M4

B 6

87269 AUTOMATION SOFTWARE AND DESIGN PATTERNS M

B 6

4 The learning activity is held in the first year only for those students for whom the Admission Board has identified gaps in Mechanics. L’insegnamento viene erogato il primo anno solo per studenti cui il Corso di Studio attribuisce una carenza formativa.




44

Table 2.2 - Tabella 2.2 Elective courses (6 Credits) - Attività formative a scelta guidata (6 CFU)

First semester / Primo ciclo Second semester/ Secondo ciclo


Type TAF

Credits CFU


Type TAF

Credits CFU

17271 INTERNSHIP 5 F 6 78860 TOPIC HIGHLIGHT M F 3

78858 LABORATORY OF BUSINESS PLAN M F 3

5 Internship can be carried out either in the first or the second semester / Il tirocinio può essere effettuato indifferentemente nel primo o nel secondo ciclo.




45

Table 2.3 - Tabella 2.3 Courses freely chosen by the student Type D (12 Credits) – Courses listed below have been approved by the Degree Board.

Attività formative a scelta libera TAF D (12 CFU) – Le attività elencate di seguito sono considerate coerenti dal Consiglio di Corso di Studio.



Type TAF

Credits CFU


Type TAF

Credits CFU

35166 DIAGNOSIS AND CONTROL M D 6 69659 ELECTRIC DRIVES FOR AUTOMATION M D 6

35168 DISTRIBUTED CONTROL SYSTEMS M D 6 35152 HARDWARE-SOFTWARE DESIGN OF EMBEDDED SYSTEMS M

D 6

73924 POWER ELECTRONIC CIRCUITS M D 6 87214 ADVANCED PRESCRIPTIVE ANALYTICS M D 6

69661 IMAGE PROCESSING AND COMPUTER VISION M D 6 87224 INDUSTRIAL AND LOGISTICS SYSTEMS M D 6

78870 AUTOMATION SOFTWARE AND DESIGN PATTERNS M D 6 69718 LABORATORY ON INTERNATIONAL INDUSTRIAL RESEARCH M

D 6

69441 OPTIMIZATION MODELS AND ALGORITHMS M D 6

73548 WIRELESS SENSOR NETWORKS M D 6

87236 ELECTRIC POWER SYSTEMS M D 6

33976 OLEODINAMICA E PNEUMATICA M D 6

78874 PRINCIPI E METODI DELLA PROGETTAZIONE DI MACCHINE AUTOMATICHE M

D 6