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ONC0251D Modeling and quantitative approaches to life science
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Modeling and quantitative approaches to life science
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Academic year 2024/2025
- Course ID
- ONC0251D
- Teacher
- Alberto Puliafito (Lecturer)
- Year
- 1st year
- Teaching period
- Annual
- Type
- Basic
- Credits/Recognition
- 2 (24 hours of lectures)
- Course disciplinary sector (SSD)
- BIOS-07/A - Biochemistry
- Delivery
- Formal authority
- Language
- English
- Attendance
- Obligatory
- Type of examination
- Written and oral
- Type of learning unit
- modulo
- Modular course
- Biochemistry, cellular and molecular biology (ONC0251)
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Sommario del corso
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Course objectives
The module aims at developing quantitative modeling approaches to a subset of topics faced in the other modules of the course. The student is presented with a minimal set of mathematical models that can be used in explainable learning to gain knowledge into how biological systems work, from molecules to cell growth and organ/tumor development. The overall objective of the module is to introduce mathematical models and reasoning that can be exploited to extract information from data.
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Results of learning outcomes
By the end of the module the student will have learned a small set of modeling tools and approaches that are propedeutic for the second year and that pave the way to extract information from data.
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Program
- Brief introduction to numbers in biology: rates, durations, space scales
- Experimental techniques and modeling in PCR, branching processes in molecular biology
- Modeling the central dogma of molecular biology
- Rate equations: enzyme kinetics and ligand-receptor signaling and trafficking
- Cellular growth dynamics and regulation: continuous (Malthus, logistic and Gompertz) and stochastic models
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Course delivery
The course is structured into independent face to face lectures, with exercises in class and small group projects.
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Learning assessment methods
The exam will consist in a small project on a topic developed during class, agreed with the teacher before the exam and sent over 1 week before the date of the exam, with a short discussion the day of the exam. The essay will contain both theoretical considerations and numerical exercises similar to those covered in class.
Suggested readings and bibliography
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