Degree | Type | Year | Semester |
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4313136 Modelling for Science and Engineering | OT | 0 | 1 |
Calculus of several variables. Ordinary and partial differential equations. Introduction to probability theory
The main goal of this course is to provide powerfull tools to deal with the analysis and numerical simulations of stochastic processes both for systems affected by external noise of by internal noise. Applications to ecological and biological systems will be discussed in detail.
First Part:
Second Part:
Third Part:
Title |
Hours |
ECTS |
Learning outcomes |
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Type: Directed Lectures 24 0.96 1,2,6,8 Practical cases 12 0.48 1,2,3,4,5,6,8 Simulation work 1 8 0.32 3,4,5,6,7 |
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Type: Supervised Simulation work 2 8 0.32 3,4,5,6,7 |
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Type Autonomous Homework of lectures 5 0.2 1, 2,6, 8 Applied work 10 0.4 1,2,3,5,6 |
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METHODOLOGY IN CASE OF TOTAL OR PARTIAL LOCKDOWN
The teaching methodology in case of lockdown will be adapted in order to get the normal progress of the course. Therefore, the lectures will become virtual and if the lockdown is partial there will be programmed tutorials. Along the virtual sessions the students will work the contents weekly established by the teacher. These contents will consist in theoretical lessons as well as practical problems to solve. To this end the students will may make use of the notes made by the teachers, books and problem sheets with solutions. All this material is available at the CV. The emerging doubts due to the students work will can be asked to the teachers according to the established schedule by using email or Discord. Furthermore, the teacher will program a virtual meeting with Teams if necessary. If the lockdown is partial there will be possible to solve the doubts in class.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Hours | ECTS | Learning Outcomes |
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Type: Directed | |||
Learning | 35 | 1.4 | 1, 2, 4, 3 |
Type: Supervised | |||
Practice | 62 | 2.48 | 5, 6 |
Title |
Weighting |
Hours |
ECTS |
Learning outcomes |
Exam 40% 4 0.16 1,2,3,5,6,8
Homework 10% 5 0.2 1,2,6,8
Simulation work 1 10% 7 0.28 3,4,5,6,7
Simulation work 2 10% 7 0.28 3,4,5,6,7
Applied work 30% 9 0.36 1,2,3,5,6
NOTE
In case of complete or partial face-to-face methodology the evaluation process will be the same as in the case of normal teaching.
Title | Weighting | Hours | ECTS | Learning Outcomes |
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Exam of Theoretical concepts and skills | 40% | 3 | 0.12 | 1, 2, 4, 3, 5, 6 |
Simulations and practical works | 60% | 50 | 2 | 1, 2, 4, 3, 7, 5, 6, 8 |
There are no specific programs