Second Cycle Degree/Two Year Master in Electronic Engineering

Curriculum Electronics for intelligent systems, big-data and internet of things: for students enrolled a.y. 2021-22

First Year

1) Mandatory courses

Period ? The period in which lectures are held 1: 15/09/2022 - 21/12/2022 2: 20/02/2023 - 09/06/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 Type ? A: Basic learning activities
B: Core learning activity
C: Related or supplementary learning activity
D: Elective learning activity
E: Final examination and foreign language test
S: Stage
F: Other 		ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
93390 Digital Systems and Introduction to Computer Architectures M 1 B ING-INF/01 9
29161 Mathematical Methods M 1 C MAT/05 6
93391 Semiconductor Devices and Quantum-Computing M 1 B ING-INF/01 9
93392 Analog Circuits and Sensor Systems M 2 B ING-INF/01 9
93393 Electronic Frontiers M 2 F 3
93395 Reliable Data Processing and Storage for Iintelligent Systems M 2 B ING-INF/01 6
84457 Signal Acquisition and Processing M 2 B ING-INF/01 6

2) Elective courses (First group) (6 CFU)

Choose 6 credits among the following courses:
Period ? The period in which lectures are held 1: 15/09/2022 - 21/12/2022 2: 20/02/2023 - 09/06/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 Type ? A: Basic learning activities
B: Core learning activity
C: Related or supplementary learning activity
D: Elective learning activity
E: Final examination and foreign language test
S: Stage
F: Other 		ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
84442 High Frequency Electronic Circuits M 1 B ING-INF/01 6
90392 Elements of Applied Data Security M 2 B ING-INF/01 6

3) Elective courses (Second group) (6 CFU)

Choose 6 credits among the following courses:
Period ? The period in which lectures are held 1: 15/09/2022 - 21/12/2022 2: 20/02/2023 - 09/06/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 Type ? A: Basic learning activities
B: Core learning activity
C: Related or supplementary learning activity
D: Elective learning activity
E: Final examination and foreign language test
S: Stage
F: Other 		ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
87216 Big Data Communications M 1 C ING-INF/03 6
69441 OPTIMIZATION MODELS AND ALGORITHMS M 1 C MAT/09 6
35190 Wireless Sensor Networks M - Not available for the year  2022/2023 1 C ING-INF/03 6
91250 Deep Learning 2 C INF/01 6
81683 Internet of Things 2 C INF/01 6
95601 OPTIMIZATION AND MACHINE LEARNING M 2 C MAT/09 6

Second Year

1) Mandatory courses

Period ? The period in which lectures are held 1: 15/09/2022 - 21/12/2022 2: 20/02/2023 - 09/06/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 Type ? A: Basic learning activities
B: Core learning activity
C: Related or supplementary learning activity
D: Elective learning activity
E: Final examination and foreign language test
S: Stage
F: Other 		ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
93397 HARDWARE SOFTWARE DESIGN OF AI AND IOT SYSTEMS M I.C 1
93398  ARCHITECTURES FOR ARTIFICIAL INTELLIGENCE M 1 B ING-INF/01 6
93322  HARDWARE-SOFTWARE DESIGN OF IOT SYSTEMS M 2 B ING-INF/01 6
87198 Statistics and Architectures for Big Data Processing M 1 B ING-INF/01 6

2) Elective courses (First group) (6 CFU)

Choose 6 credits among the following courses:
Period ? The period in which lectures are held 1: 15/09/2022 - 21/12/2022 2: 20/02/2023 - 09/06/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 Type ? A: Basic learning activities
B: Core learning activity
C: Related or supplementary learning activity
D: Elective learning activity
E: Final examination and foreign language test
S: Stage
F: Other 		ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
87216 Big Data Communications M 1 C ING-INF/03 6
69441 OPTIMIZATION MODELS AND ALGORITHMS M 1 C MAT/09 6
35190 Wireless Sensor Networks M - Not available for the year  2022/2023 1 C ING-INF/03 6
91250 Deep Learning 2 C INF/01 6
81683 Internet of Things 2 C INF/01 6
95601 OPTIMIZATION AND MACHINE LEARNING M 2 C MAT/09 6

2) Final examination (15 CFU)

As part of their final exam, students may choose to carry out practical and research activities within companies/institutions external to Unibo, or within Unibo laboratories. Such preparatory activities may be registered in students’ records to specify the type of work carried out., either on a pass/fail basis or with a grade, depending on the cases. Students may therefore choose to carry out their final exam only (Group A) or the final exam + an activity, to be chosen among: internship for the preparation of the final thesis, internship for the preparation abroad of the final thesis, or preparation abroad of the final thesis (Group B).
2.1) Group A (max limit 15 CFU)
Period ? The period in which lectures are held 1: 15/09/2022 - 21/12/2022 2: 20/02/2023 - 09/06/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 Type ? A: Basic learning activities
B: Core learning activity
C: Related or supplementary learning activity
D: Elective learning activity
E: Final examination and foreign language test
S: Stage
F: Other 		cfu ? Credits
86300 Final Examination
If you select this activity, it means that you intend to write a thesis for which your continuous presence (in Unibo premises or at external companies/institutions) is NOT requested. 		O E 15
2.2) Group B (max limit 15 CFU)
Period ? The period in which lectures are held 1: 15/09/2022 - 21/12/2022 2: 20/02/2023 - 09/06/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 Type ? A: Basic learning activities
B: Core learning activity
C: Related or supplementary learning activity
D: Elective learning activity
E: Final examination and foreign language test
S: Stage
F: Other 		cfu ? Credits
84551 Internship Abroad for Preparation of the Final Examination
If you select this activity, you intend to enter a competition for international mobility (e.g. Thesis Abroad, Erasmus+, etc.) or to start an internship by applying on SOL – Internship (to know more go on your degree course’s website > homepage > studying>internship for the preparation of the final thesis. 		1 E 12
86296 Internship for Preparation for the Final Examination
If you select this activity, you intend to start an internship by applying on SOL – Internship (to know more go on your degree course’s website > homepage > studying>internship for the preparation of the final thesis. 		1 E 12
84548 Preparation for the Final Examination Abroad
If you select this activity, you intend to enter a competition for international mobility (e.g. Thesis Abroad, Erasmus+, etc.). You will agree with your thesis supervisor the company/institution who will host you and the activities to carry out. 		1 E 12
86298 Final Examination O E 3

3) Elective courses (Second group) (9 CFU)

Choose 9 credits among the following courses:
Period ? The period in which lectures are held 1: 15/09/2022 - 21/12/2022 2: 20/02/2023 - 09/06/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 Type ? A: Basic learning activities
B: Core learning activity
C: Related or supplementary learning activity
D: Elective learning activity
E: Final examination and foreign language test
S: Stage
F: Other 		cfu ? Credits
93323 LAB OF RELIABLE INTELLIGENT SYSTEMS M 1 F 3
87195 Lab of Big Data Architectures M 1 F 3
37700 Preliminary Final Project Work M 1 F 3
84468 Industrial Trends in Electronics M 2 F 3
93324 LAB OF INTELLIGENT SENSOR SYSTEMS M 2 F 3
72972 Lab Of High-Frequency Circuit Design M 2 F 3
84455 Lab of Analog Electronics and Instrumentation M 2 F 3
84419 Lab of Digital Electronics M 2 F 3

4) Courses freely chosen by the students (12 - 18 CFU)

Choose at least 12 credits. The course board suggests to attend to the following courses:
Period ? The period in which lectures are held 1: 15/09/2022 - 21/12/2022 2: 20/02/2023 - 09/06/2023 CT1: 27/10/2022 - 23/12/2022 CT2: 20/02/2023 - 09/06/2023 Type ? A: Basic learning activities
B: Core learning activity
C: Related or supplementary learning activity
D: Elective learning activity
E: Final examination and foreign language test
S: Stage
F: Other 		ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
87216 Big Data Communications M 1 D ING-INF/03 6
87236 Electric Power Systems M 1 D ING-IND/33 6
84442 High Frequency Electronic Circuits M 1 D ING-INF/01 6
69441 OPTIMIZATION MODELS AND ALGORITHMS M 1 D MAT/09 6
35190 Wireless Sensor Networks M - Not available for the year  2022/2023 1 D ING-INF/03 6
91250 Deep Learning 2 D INF/01 6
90392 Elements of Applied Data Security M 2 D ING-INF/01 6
93040 INSTRUMENTATION FOR ELECTRICAL ENGINEERING AND SMART CITIES C.I 2 D
93041  ELECTRICAL POWER SYSTEMS FOR SMART CITIES M 2 D ING-IND/33 6
87231  Instrumentation for Electrical Engineering M 2 D ING-INF/07 6
81683 Internet of Things 2 D INF/01 6
95601 OPTIMIZATION AND MACHINE LEARNING M 2 D MAT/09 6
87205 Technologies and Applications of Wireless Power Tranfer M 2 D ING-INF/02 6
Soft skills (max limit 18 CFU)
Among the transferable skills activities (Soft skills) students may choose, while submitting the study plan, any edition activated in the Campuses.
89455 Patents & Trade Marks CT1 D 3
97326 DATA LITERACY CT2 D 3
94133 SCIENCE OF CLIMATE CHANGE AND CLIMATE ACTIONS CT2 D 3
94123 SUSTAINABLE DEVELOPMENT AND ONE HEALTH - BOLOGNA CT2 D 3