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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 Biomedical Engineering
Bachelor's degree in Industrial Electronics and Automation Engineering
Bachelor's degree in Industrial Electronics and Automation 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 Industrial Design and Product Development Engineering
Bachelor's degree in Mechanical Engineering
Bachelor's degree in 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
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