Bioinformatics a.y. 25/26  code 33455
To better accommodate the diverse interests and career paths within our Bioinformatics program, we propose the introduction of a range of optional examinations tailored to each of the different specialization routes. Students are invited to select (in Infostud, "Piani di studio") the track that best aligns with their individual interests and professional objectives. Each pathway combines rigorous theoretical instruction with practical laboratory and project work, ensuring that graduates acquire both the computational and biological expertise required for advanced research or industry positions in bioinformatics. 
Computational Track (Data Science, Engineering and Computer Science)
If you’re passionate about algorithms, data science, and machine learning, this pathway emphasizes:
AI Lab: Computer Vision and NLP (10595610)
Algorithms
Signal Processing and Information Theory (1049268)
Optimization Methods for Computational Biology (1049273)
Biological Track (Biochemistry, Genetics and Molecular Biology)
For those drawn to molecular biology, pathology, and Biochemistry, this pathway focuses on:
Plant Functional Genomics (1049271)
Principles of General Pathology (1049272)
Complex Biomolecular Networks (1049270)
Bioinformatics in Plant Pathology (1049285)
For each track, two courses may be chosen freely from the full list of optional offerings; the remaining two must be recorded under “esami a scelta” (free-choice exams).
FOR ALL STUDENTS:
The following courses, approved by the Coordination Committee, are recommended choices for the "Insegnamenti a scelta dello studente" (exam choice) section in your study plan:

  1. 10595617 - DATA MANAGEMENT AND ANALYSIS Unit I (6 CFU, INF/01)
  2. 10595617 - DATA MANAGEMENT AND ANALYSIS Unit II (6 CFU, INF/01)
  3. 10595618 - ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (12 CFU, INF/01)
  4. 10595531 - DEEP LEARNING (6 CFU, INF/01)
  5. 10595534 - WEB AND SOFTWARE ARCHITECTURE (6 CFU, INF/01)

Please note that this recommendation is merely a suggestion. You are free to choose elective courses ("a libera scelta") from the broader range offered by the degree program or any other relevant courses that align with your academic goals.
For those who have already made a selection, it is important to highlight that you have the flexibility to modify your study plan. You can do so by canceling your previous choice and submitting a new plan that better suits your academic interests and aspirations.
n.b. Data Management and Analysis is a single 12 CFU exam and the two modules cannot be chosen independently.