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Training Activity


Teaching Structure and Academic Requirements

Teaching will follow the structure illustrated in the first figure on the pdf attached below. Please note that 1 CFU corresponds to 8 hours of classroom teaching.

  • The schema outlining the teaching activities over the three years is provided in this file.
  • Here are all the courses, workshops, and seminars proposed by the faculty for 2025. The file includes details such as dates, venues, CFU values, and other information for each activity.

First Year Teaching Structure | Training Activity | PhD in Complex Systems for Quantitative Biomedicine

First-year students must complete 18 CFU of academic activities, distributed as follows:

→ Introductory Courses (8 CFU):

6 CFU will be earned through introductory courses divided into two paths: quantitative and biological. Path selection depends on the student's background.

An additional 2 CFU will be earned from courses common to both paths.

→ Workshops and Seminars (8 CFU):

Students must complete 8 CFU through workshops included in the annual proposal.

Up to 2 of these 8 CFU may be earned from external courses (e.g., UNITO or external master’s courses, advanced courses), subject to approval by the teaching commission.

→ Alumni Day (1 CFU):

Participation in the Alumni Day, typically held in October, earns 1 CFU.

→ Reports (1 CFU):

Participation in annual report discussions, held in October, earns 1 CFU.

Second Year Teaching Structure | Training Activity | PhD in Complex Systems for Quantitative Biomedicine

Second-year students must complete 10 CFU of academic activities, distributed as follows:

→ Workshops and Seminars (8 CFU):

Students must complete 8 CFU through workshops in the annual proposal.

Up to 3 of these 8 CFU may be earned from external courses (e.g., UNITO or external master's courses, advanced courses, or workshops associated with relevant conferences), subject to approval by the teaching commission.

→ Alumni Day (1 CFU):

Participation in the Alumni Day, typically held in October, earns 1 CFU.

→ Reports (1 CFU):

Participation in annual report discussions, held in October, earns 1 CFU.

Third Year Teaching Structure | Training Activity | PhD in Complex Systems for Quantitative Biomedicine

Third-year students must complete 10 CFU of academic activities, distributed as follows:

→ Workshops and Seminars (8 CFU):

Students must complete 4 CFU through workshops in the annual proposal.

Up to 4 of these 8 CFU may be earned from external courses (e.g., UNITO or external master's courses, advanced courses, or workshops associated with relevant conferences), subject to approval by the teaching commission.

→ Alumni Day (1 CFU):

Participation in the Alumni Day, typically held in October, earns 1 CFU.

→ Reports (1 CFU):

Participation in annual report discussions, held in October, earns 1 CFU.

Important Note
The coordinator strongly encourages participation in in-person teaching activities. Webex connections will no longer be available unless there is a proven need (e.g., periods abroad or conference participation).


Teachings

The courses are meant for students with different background and are mandatory for first year student.   Courses for students with QUANTITATIVE background:

Courses for students with BIOLOGICAL background:

Courses for ALL students:

- Work in progress -

- Work in progress -

This workshop is intended to reunite the Alumni of the PhD Programme in Complex Systems for Quantitative Biomedicine, to retrace individual professional experiences and to rediscover a common identity.

This PhD Programme was founded in 2003, when the Human Genome Project was about completion and when it became clear that the modern approach to living things will require the systematic description of all components. Genomes, proteomes, cell parts, cell communities and up to the organisms, together with the networks of dynamic interaction between the components, will constitute the scenery for modern biology and medicine.

Complex Systems are systems where the collective behavior of their parts entails emergence of properties that can hardly, if not at all, be inferred from properties of the parts. The physics of complex systems and mathematical modelling are essential cultural tools for understanding biological systems.

Consequently, we set interdisciplinarity as a pivotal feature of this PhD programme, not only by accepting students with various backgrounds, but also by implementing cross-disciplinary education.

During last 15 years, the Systems Biology approach has led to tremendous advances in Biology and Medicine, allowing on the one hand previously unimaginable levels of understanding and modeling biological phenomena; on the other hand, giving rise to completely new wide-screen technologies that are the basis of personalized medicine.

The workshop is part of the PhD Seminars series. Five Alumni will report their professional and scientific histories. Today’s Students will present their work on Posters and discuss their projects with the Speakers and the other Alumni participating in this event.

This activity is mandatory.

Schedule: TBA.

 

Last update: 17/01/2025 12:01
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