Vai alla Homepage del Portale di Ateneo Second Cycle Degree/Two Year Master in Artificial intelligence

Course structure diagrams for students enrolled a.y. 2022-23

First Year

1) Mandatory courses

Period ? The period in which lectures are held 1: 18/09/2023 - 20/12/2023 2: 19/02/2024 - 07/06/2024 E: 18/09/2023 - 07/06/2024 CT1: 04/11/2023 - 20/12/2023 CT2: 19/02/2024 - 07/06/2024 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
91248 Fundamentals of Artificial Intelligence and Knowledge Representation 1 B ING-INF/05 12
91255 Statistical and Mathematical Methods for Artificial Intelligence 1 C SECS-S/01 6
91247 Cognition and Neuroscience 2 C M-PSI/02 6
91762 Combinatorial Decision Making and Optimization 2 B ING-INF/05 6
91254 Image Processing and Computer Vision 2 B ING-INF/05 6
91249 Machine Learning and Deep Learning I.C. - Not available for the year  2023/2024 2
91250  Deep Learning 2 B INF/01 6
81610  Machine Learning 1 B ING-INF/05 6
91251 Languages and Algorithms for Artificial Intelligence E B ING-INF/05 12

Second Year

1) Mandatory courses

Period ? The period in which lectures are held 1: 18/09/2023 - 20/12/2023 2: 19/02/2024 - 07/06/2024 E: 18/09/2023 - 07/06/2024 CT1: 04/11/2023 - 20/12/2023 CT2: 19/02/2024 - 07/06/2024 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
91258 Natural Language Processing 1 B ING-INF/05 6
91257 Ethics in Artificial Intelligence 2 C IUS/20 6

2) Final examination (24 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 24 CFU)
Period ? The period in which lectures are held 1: 18/09/2023 - 20/12/2023 2: 19/02/2024 - 07/06/2024 E: 18/09/2023 - 07/06/2024 CT1: 04/11/2023 - 20/12/2023 CT2: 19/02/2024 - 07/06/2024 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
60750 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.
E E 24
2.2) Group B (max limit 24 CFU)
Period ? The period in which lectures are held 1: 18/09/2023 - 20/12/2023 2: 19/02/2024 - 07/06/2024 E: 18/09/2023 - 07/06/2024 CT1: 04/11/2023 - 20/12/2023 CT2: 19/02/2024 - 07/06/2024 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 18
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 18
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 18
86301 Final Examination O E 6

3) Elective courses (6 CFU)

Choose 6 credits among the following courses:
Period ? The period in which lectures are held 1: 18/09/2023 - 20/12/2023 2: 19/02/2024 - 07/06/2024 E: 18/09/2023 - 07/06/2024 CT1: 04/11/2023 - 20/12/2023 CT2: 19/02/2024 - 07/06/2024 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
91259 Architecture and Platforms for Artificial Intelligence 1 C INF/01 6
91261 Artificial Intelligence in Industry 1 C ING-INF/05 6
91262 Data Mining, Text Mining and Big Data Analytics 1 C ING-INF/05 6
91266 Machine Learning for Computer Vision 1 C ING-INF/05 6
91268 SIMULATION - Not available for the year  2023/2024 1 C INF/01 6
91264 User Experience Design 1 C INF/01 6
91260 ARTIFICIAL INTELLIGENCE AND ROBOTICS 2 C ING-INF/05 6
81683 Internet of Things 2 C INF/01 6
91265 Knowledge Engineering 2 C INF/01 6
91267 Multi-Agent Systems 2 C ING-INF/05 6

4) Elective courses (6 CFU)

Choose 6 credits among the following courses:
Period ? The period in which lectures are held 1: 18/09/2023 - 20/12/2023 2: 19/02/2024 - 07/06/2024 E: 18/09/2023 - 07/06/2024 CT1: 04/11/2023 - 20/12/2023 CT2: 19/02/2024 - 07/06/2024 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
91252 LABORATORY OF BUSINESS PLAN 1 F 3
91280 PROJECT WORK IN ARTIFICIAL INTELLIGENCE AND ROBOTICS - Not available for the year  2023/2024 1 F 3
B3155 PROJECT WORK IN MACHINE LEARNING AND DATA MINING 1 F 3
91290 PROJECT WORK IN SIMULATION - Not available for the year  2023/2024 1 F 3
91279 Project Work in Architectures and Platforms for Artificial Intelligence 1 F 3
91283 Project Work in Artificial Intelligence in Industry 1 F 3
91276 Project Work in Combinatorial Optimization 1 F 3
91284 Project Work in Data Mining, Text Mining and Big Data Analytics 1 F 3
91274 Project Work in Deep Learning 1 F 3
91270 Project Work in Fundamentals of Artificial Intelligence and Knowledge Representation 1 F 3
91277 Project Work in Image Processing and Computer Vision 1 F 3
91286 Project Work in Internet of Things 1 F 3
91287 Project Work in Knowledge Engineering 1 F 3
91275 Project Work in Languages and Algorithms for Artificial Intelligence 1 F 3
91288 Project Work in Machine Learning for Computer Vision 1 F 3
91289 Project Work in Multi-Agent Systems 1 F 3
93103 Project Work in Multimedia Data Management M 1 F 3
91278 Project Work in Natural Language Processing 1 F 3
91285 Project Work in User Experience Design 1 F 3
81799 Project Management and Soft Skills M 2 F 3

5) 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: 18/09/2023 - 20/12/2023 2: 19/02/2024 - 07/06/2024 E: 18/09/2023 - 07/06/2024 CT1: 04/11/2023 - 20/12/2023 CT2: 19/02/2024 - 07/06/2024 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
91259 Architecture and Platforms for Artificial Intelligence 1 D INF/01 6
91261 Artificial Intelligence in Industry 1 D ING-INF/05 6
90748 Blockchain and Cryptocurrencies 1 D INF/01 6
93467 CRYPTOGRAPHY 1 D INF/01 6
93470 CYBERSECURITY 1 D INF/01 6
91262 Data Mining, Text Mining and Big Data Analytics 1 D ING-INF/05 6
91266 Machine Learning for Computer Vision 1 D ING-INF/05 6
91268 SIMULATION - Not available for the year  2023/2024 1 D INF/01 6
90730 SOCIAL NETWORK ANALYSIS 1 D INF/01 6
91264 User Experience Design 1 D INF/01 6
91260 ARTIFICIAL INTELLIGENCE AND ROBOTICS 2 D ING-INF/05 6
92858 Autonomous and Adaptive Systems M 2 D ING-INF/05 8
B0708 COMPUTATIONAL ETHICS - Not available for the year  2023/2024 2 D SPS/01 4
92995 DISTRIBUTED AUTONOMOUS SYSTEMS M 2 D ING-INF/04 6
B0265 EXPERT SYSTEMS 2 D INF/01 6
81683 Internet of Things 2 D INF/01 6
91265 Knowledge Engineering 2 D INF/01 6
91267 Multi-Agent Systems 2 D ING-INF/05 6
77933 Multimedia Data Management M 2 D ING-INF/05 6
81799 Project Management and Soft Skills M 2 D 3
97431 SCALABLE AND RELIABLE SERVICES M 2 D ING-INF/05 8
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.
73387 Creativity and Innovation M CT2 D 3
81799 Project Management and Soft Skills M CT2 D 3
94133 SCIENCE OF CLIMATE CHANGE AND CLIMATE ACTIONS CT2 D 3