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Mathematical and numerical methods for Life Sciences

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Mathematical and numerical methods for Life Sciences

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Academic year 2022/2023

Teacher
Andras Horvath (Lecturer)
Year
1st year
Teaching period
NA
Type
NA
Credits/Recognition
1.5
Course disciplinary sector (SSD)
INF/01 - informatics
Delivery
NA
Language
English
Attendance
Obligatory
Type of learning unit
modulo
Modular course
Introductory courses
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Sommario del corso

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Program

The course "Mathematical and numerical methods for Life Sciences" will be held following this schedule:


Introduction to Python

Topics:

  • introduction to Jupyter and Python
  • Jupyter as calculator
  • arrays
  • plotting
  • programming in Python

Limits and asymptotic analysis

Topics:

  • definition of limit
  • numerical and symbolic calculation of limits
  • characterization of rate of convergance

Derivatives and integrals

Topics:

  • definition of derivative
  • numerical and symbolic calculation of derivatives
  • numerical and symbolic calculation of integrals

Differential equations

Topic:

  • differential equations
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Course delivery

Timetable:

  • 30 Jan, 9-12 am, Matematical and numerical methods for life sciences - Horvath - Sala Conferenze/Conference Room, Terzo Piano/3rd Floor, Dept Computer science, Corso Svizzera 185
  • 31 Jan, 9-12 am, Matematical and numerical methods for life sciences - Horvath - Sala Conferenze/Conference Room, Terzo Piano/3rd Floor, Dept Computer science, Corso Svizzera 185
  • 1 Feb, 9-12 am, Matematical and numerical methods for life sciences - Horvath - Sala Conferenze/Conference Room, Terzo Piano/3rd Floor, Dept Computer science, Corso Svizzera 185
  • 3 Feb, 9-12 am, Matematical and numerical methods for life sciences -  Horvath - Sala Conferenze/Conference Room, Terzo Piano/3rd Floor, Dept Computer science, Corso Svizzera 185

Suggested readings and bibliography

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