Contact Person:Prof. Giuseppe Longo - Dept of Physics, Monte Sant'Angelo Campus, room 1M35.
Choose your path and learn how to build new artificial intelligence algorithms for extracting new knowledge from big data and data streams, in the field of pure and applied science. We remind you that the second year must adhere to the following structure:
| Course | CFU | Notes |
|---|---|---|
| Curricular course n. I | 12 | Specific to the selected curriculum |
| Curricular course n. II | 6 | Specific to the selected curriculum |
| 1-st Free Choice Course | 6 | Only constraint: the course must be coherent with the formative trajectory of the student (read below) |
| 2-nd Free Choice Course | 6 | Only constraint: the course must be coherent with the formative trajectory of the student (read below) |
| Internship-Stage or Project | 8 | Second semester |
| Other activities | 6 | Any Time |
| Thesis and Final Exam | 16 | Second Semester |
| Total CFU - First Year | 60 |
Formative Paths
When enrolling for the second year you must choose among three formative paths:
Path 1: Mathematical Methodologies
Path 2: Data science for hard sciences
Path 3: Data Science for Life Sciences
Remember, however, that the free choice exams can be selected amongst the whole course catalogue of the Polytechnic and Fundamental Sciences School, as long as they are coherent with the selected formative path. Have a look to the complete list of recommended free choice exams for the curricula in Fundamental Sciences and in Information Technologies.
Path 1: Mathematical Methodologies
Curricular exams for Path 1
| Activity | CFU | Course | Department | S.S.D. |
|---|---|---|---|---|
| Curricular course I | 12 | Algorithms and Parallel Computing-Computational Complexity | Dept of Mathematics | INF/01 |
| 6 | Algorithms and Parallel Computing | |||
|
6 |
Computational Complexity |
|
||
| Curricular course II | 6 | Operational Research | Dept. of Mathematics | MAT/09 |
Recommended free choice exams for Path 1
| Course | CFU | Department | S.S.D. |
|---|---|---|---|
| x-Informatics | 6 | Department of Physics | FIS/05 |
| AI and Quantum Computing | 6 | DIETI | INF/01 |
| Real and Functional Analysis | 6 | Dept. of Mathematics | MAT/05 |
| Signal Theory | 6 | DIETI | ING-INF/03 |
| Information Theory | 6 | DIETI | ING-INF/03 |
| Probability Theory | 6 | Dept. of Mathematics | MAT/06 |
Path 2: Data science for hard sciences
Curricular exams for Path 2
| Activity | CFU | Course | Department | S.S.D. |
|---|---|---|---|---|
| Curricular course I | 12 | Machine Learning for Physics-Astroinformatics | Dept. of Physics | |
| 6 | Machine Learning for Physics | INF/01 | ||
|
6 |
Astroinformatics |
|
FIS/05 |
|
| Curricular course II | 6 | Computational Methods for Physics | Dept. of Physics | INF/01 |
Recommended free choice exams for Path 2
| Course | CFU | Department | S.S.D. |
|---|---|---|---|
| Astroinformatics | 6 | Department of Physics | FIS/05 |
| AI and Quantum Computing | 6 | Department of Physics | INF/01 |
| Computational Thermodynamics | 6 | Department of Physics | FIS/03 |
| Quantum Computing Systems | 6 | Department of Physics | FIS/03 |
| Mathematical Physics Models | 6 | Dept. of Mathematics | MAT/07 |
Path 3: Data Science for Life Sciences
Curricular exams for Path 3
| Activity | CFU | Course | Department | S.S.D. |
|---|---|---|---|---|
| Curricular course I | 12 | Biochemistry and Computational Biochemistry | Dept. of Biology | BIO/10 |
| Curricular course II | 6 | Biologia Computazionale e Statistica | DIETI | INF/01 |
Recommended free choice exams for Path 3
| Activity | CFU | Course | Department | S.S.D. |
|---|---|---|---|---|
| Curricular course I | 6 | Fisica Medica | Dept. of Physics | FIS/07 |
| Curricular course II | 6 | Metodologie per l’analisi delle immagini | DIETI | ING-INF/06 |
| Curricular course II | 6 | Foundation of Robotics | DIETI | ING-INF/04 |
| Curricular course II | 6 | Machine Learning and Big Data per la salute | DIETI | ING-INF/05 |
| Curricular course II | 6 | Computational Chemistry | Dept. of Chemistry | CHIM/02 |