Calculus

Asignatura del Bachelor's Degree in Bioinformatics

Información académica

Code:
51104

Créditos:
6 ECTS

Language:
English

Type of subject: Core

Description

Analysis of real functions of one or multiple variables: continuity, differentiation and integration, with examples of widely used functions in statistics and computer science. Study of sequences, limits and series. Criteria for extreme values. Differential equations and their applications in modelling in bioinformatics.

This subject forms part of the Bachelor's Degree in Bioinformatics, Follow the link for further information..

Lecturer Position

Joana Cirici

Lecturer

Lecturer:
Calculus
Qualifications:

PhD in Mathematics (UB)

Biography:

Joana Cirici has a PhD in Mathematics from Universitat de Barcelona. She held postdoctoral positions at the University of Münster and at Freie Universität Berlin. Her research focuses on Geometry and Topology. She is currently a tenure-track lecturer from the Serra Húnter programme at the Department of Mathematics and Computer Science, and Vicedean of Research of the Faculty of Mathematics and Computer Science of Universitat de Barcelona.

Adrián Ponce Álvarez

Lecturer

Lecturer:
Calculus
Qualifications:

Bachelor’s and Master’s Degrees in Physics (Université Paris XI)
PhD in Neuroscience (Aix-Marseille Université)

Biography:

Adrián Ponce was a postdoctoral fellow at the Computational Neuroscience Group at the Center for Brain and Cognition (CBC) at UPF from 2011 to 2022 and is currently a Ramón y Cajal Research Fellow at UPC–BarcelonaTech.

His research concerns the study of neural networks at different scales and in different states. His main focuses are on how cognitive processes are represented in the spatiotemporal patterns of neuronal activity, how brain regions interact, how collective behaviours emerge in neural networks and how these collective behaviours underlie brain function/dysfunction and different brain states.

His approach uses a combination of data analysis and theory, including stochastic dynamical systems, information theory, statistical mechanics, machine learning and network theory.