Francisco Periago Esparza




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  • Teaching area: Matemática Aplicada
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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
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
Bachelor's degree in Biomedical Engineering
Bachelor's degree in Industrial Electronics and Automation Engineering
Class
1
Survey respondent
8
Average
4.5
FURTHER STUDIES IN MATHEMATICS
512102006
Bachelor's degree in Industrial Technologies Engineering
Class
1
Survey respondent
9
Average
4.67
2021-22
MATHEMATICS II
508101011
524101007
Bachelor's degree in Industrial Design and Product Development Engineering
Bachelor's degree in Mechanical Engineering
Double Degree in Industrial Design and Product Development Engineering + Mechanical 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
Bachelor's degree in Industrial Technologies Engineering
Class
1
Survey respondent
7
Average
4.86
NUMERICAL COMPUTATION
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
Bachelor's degree in Industrial Technologies Engineering
Class
2
Survey respondent
7
Average
4.43
(*) Average over a maximum of 5