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About
Francisco Periago Esparza
Assessment of teaching: number of five-year periods assessed positively: 5
Assessment of research: number of six-year periods assessed positively: 4
Assessment of transfer: number of six-year periods assessed positively: 1
Web: http://www.upct.es/mc3/en/dr-francisco-periago-esparza/
Office Hours
Location
Day
Schedule
HOSPITAL de MARINA, Floor 0, Office B036
Tuesday
10:30 — 13:30
HOSPITAL de MARINA, Floor 0, Office B036
Thursday
12:00 — 14:00
Teaching
Course
Degree
Type
Duration
ECTS
LINEAR ALGEBRA
Bachelor's degree in Data Science and Engineering
Type
BS
Duration
1Q
ECTS
6
OPTIMISATION II
Bachelor's degree in Data Science and Engineering
Type
B
Duration
1Q
ECTS
6
Abbreviation list
- BS: Basic course
- B: Required course
- O: Elective course
- A: Year-long
- 1Q: 1st half
- 2Q: 2st half
Teaching evaluation
Year
Course
Degree
Class
Survey respondent
Average (*)
2023-24
LINEAR ALGEBRA
525101003
Bachelor's degree in Data Science and Engineering
Class
1
Survey respondent
37
Average
4.57
OPTIMISATION II
525102005
525102005
Bachelor's degree in Data Science and Engineering
Class
1
Survey respondent
14
Average
4.86
2022-23
LINEAR ALGEBRA
525101003
Bachelor's degree in Data Science and Engineering
Class
1
Survey respondent
24
Average
4.75
MATHEMATICS II
507101011
521101008
507101011
521101008
Bachelor's degree in Industrial Electronics and Automation Engineering
Bachelor's degree in Biomedical Engineering
Bachelor's degree in Biomedical Engineering
Class
1
Survey respondent
8
Average
4.5
FURTHER STUDIES IN MATHEMATICS
512102006
512102006
Bachelor's degree in Industrial Technologies Engineering
Class
1
Survey respondent
9
Average
4.67
2021-22
MATHEMATICS II
508101011
524101007
524101007
Bachelor's degree in Mechanical Engineering
Bachelor's degree in Industrial Design and Product Development Engineering
Bachelor's degree in Industrial Design and Product Development Engineering
Class
1
Survey respondent
23
Average
4.26
2020-21
NUMERICAL COMPUTATION
512103005
Bachelor's degree in Industrial Technologies Engineering
Class
1
Survey respondent
7
Average
4.14
MATHEMATICAL METHODS FOR MODEL ANALYSIS
512109003
512109003
Bachelor's degree in Industrial Technologies Engineering
Class
1
Survey respondent
7
Average
4.86
NUMERICAL COMPUTATION
512103005
512103005
Bachelor's degree in Industrial Technologies Engineering
Class
2
Survey respondent
9
Average
4.78
2019-20
MATHEMATICS I
506101001
Bachelor's degree in Electrical Engineering
Class
1
Survey respondent
3
Average
3.33
FURTHER STUDIES IN MATHEMATICS
512102006
512102006
Bachelor's degree in Industrial Technologies Engineering
Class
2
Survey respondent
7
Average
4.43
(*) Average over a maximum of 5
Projects
Date
Title
09/2023 — 08/2026
Multiphysics-informed design of tunable smart materials
Ref: PID2022-141957OA-C22
I.P.: / Jesús Martínez Frutos
Financial Entity: Agencia Estatal de Investigación \ Agencia Estatal de Investigación
01/2023 — 12/2025
Multiphysics Informed Machine learning for Optimal control and design of Smart mAterials
Ref: 21996/PI/22
I.P.: / Jesús Martínez Frutos
Financial Entity: Fundacion Seneca
01/2023 — 12/2025
Multiphysics Informed Machine learning for Optimal control and design of Smart mAterials
Ref: 21996/PI/22
I.P.: / Rogelio Ortigosa Martínez
Financial Entity: Fundacion Seneca
04/2019 — 09/2022
Diseño y Control Óptimo de la Nueva Generación de Materiales Activos
Ref: 20911/PI/18
I.P.: Jesús Martínez Frutos / Francisco Periago Esparza
Financial Entity: Fundacion Seneca
12/2016 — 12/2019
Simulación y optimización de estructuras de gran escala bajo incertidumbre utilizando GPUs
Ref: DPI2016-77538-R
I.P.: David Herrero Pérez
Financial Entity: Ministerio de Economía, Industria y Competitividad. Fondo Europeo de Desarrollo Regional (FEDER)
07/2015 — 12/2018
Optimización de Forma Robusta para Sistemas Gobernados por Ecuaciones en Derivadas Parciales Estocásticas de tipo Elíptico
Ref: 19274/PI/14
I.P.: Francisco Periago Esparza
Financial Entity: Fundacion Seneca
01/2009 — 12/2013
Control y diseño óptimo de sistemas gobernados por ecuaciones diferenciales
Ref: 08720/PI/08
I.P.: Francisco Periago Esparza
Financial Entity: Fundacion Seneca
01/2005 — 12/2007
Análisis y control de sistemas no lineales.
Ref: 00675/PI/04
I.P.: José Alberto Murillo Hernández
Financial Entity: Fundacion Seneca
01/2002 — 12/2004
Ecuaciones diferenciales no lineales. Análisis, simulación y control.
Ref: PI-53/00809/FS/01
I.P.: José Alberto Murillo Hernández
Financial Entity: Fundacion Seneca
Contracts
Date
Title
11/2019 — 03/2020
Desarrollo de métodos de formulación digital de colores para pinturas de decoración
Ref: 6079/19MAE
I.P.: Rogelio Ortigosa Martínez
10/2007 — 10/2008
SIMULACIÓN NUMÉRICA MANIOBRABILIDAD VEHÍCULOS SUBMARINOS
Ref: 2137/07MAE
I.P.: Francisco Periago Esparza
Awards
Year
Title
2006
Primer premio del concurso de poster ICM Madrid 2006. Sección Control Theory and Optimization
Premio de Investigación de carácter internacional