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Jorge Larrey Ruiz

  • Teaching area: Teoría de la Señal y Comunicaciones
  • Image processing / Deep learning

Jorge Larrey Ruiz

  • EMAIL
  • Teaching area: Teoría de la Señal y Comunicaciones
  • Image processing / Deep learning
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About

Jorge Larrey Ruiz is Coordinador de Doctorado: Tecnologías de la Información y las Comunicaciones

Office Hours

Tutorials will by carried out by request of the student sending a mail to jorge.larrey@upct.es

Teaching

Course
Degree
Type
Duration
ECTS
INTRODUCTION TO MACHINE LEARNING: THEORY AND APPLICATIONS
Master's degree in Telecommunication Engineering
Type
O
Duration
2Q
ECTS
3
LINEAR SYSTEMS
Bachelor's degree in Telecommunication Systems
Type
BS
Duration
1Q
ECTS
6
TRANSMISSION TECHNIQUES
Bachelor's degree in Telecommunication Systems
Type
B
Duration
2Q
ECTS
6
LINEAR SYSTEM
Bachelor's degree in Telematic Engineering
Type
BS
Duration
1Q
ECTS
6
SIGNALS AND SYSTEMS
Bachelor's degree in Data Science and Engineering
Type
B
Duration
2Q
ECTS
6
MACHINE LEARNING 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
SIGNALS AND SYSTEMS
525102008
Bachelor's degree in Data Science and Engineering
Class
1
Survey respondent
11
Average
4.91
TRANSMISSION TECHNIQUES
504103008
Bachelor's degree in Telecommunication Systems
Class
2
Survey respondent
15
Average
4.53
LINEAR SYSTEMS
504102001
505102001
Bachelor's degree in Telecommunication Systems
Bachelor's degree in Telematic Engineering
Class
3
Survey respondent
18
Average
3.61
2022-23
TRANSMISSION TECHNIQUES
504103008
504108007
Bachelor's degree in Telecommunication Systems
Class
2
Survey respondent
11
Average
4.73
LINEAR SYSTEMS
504102001
505102001
Bachelor's degree in Telecommunication Systems
Bachelor's degree in Telematic Engineering
Class
3
Survey respondent
13
Average
3.62
INTRODUCTION TO MACHINE LEARNING: THEORY AND APPLICATIONS
211101010
Master's degree in Telecommunication Engineering
Class
1
Survey respondent
7
Average
4.29
2021-22
TRANSMISSION TECHNIQUES
504103008
504108007
Bachelor's degree in Telecommunication Systems
Class
1
Survey respondent
3
Average
5
TRANSMISSION TECHNIQUES
504103008
504108007
Bachelor's degree in Telecommunication Systems
Class
2
Survey respondent
10
Average
3.9
LINEAR SYSTEMS
504102001
505102001
Bachelor's degree in Telecommunication Systems
Bachelor's degree in Telematic Engineering
Class
2
Survey respondent
15
Average
3.6
INTRODUCTION TO MACHINE LEARNING: THEORY AND APPLICATIONS
211101010
Master's degree in Telecommunication Engineering
Class
1
Survey respondent
5
Average
4.4
2020-21
TRANSMISSION TECHNIQUES
504103008
504108007
Bachelor's degree in Telecommunication Systems
Class
1
Survey respondent
6
Average
4.5
TRANSMISSION TECHNIQUES
504103008
504108007
Bachelor's degree in Telecommunication Systems
Class
2
Survey respondent
19
Average
4.21
LINEAR SYSTEMS
504102001
505102001
Bachelor's degree in Telecommunication Systems
Bachelor's degree in Telematic Engineering
Class
2
Survey respondent
25
Average
3.12
INTRODUCTION TO MACHINE LEARNING: THEORY AND APPLICATIONS
211101010
Master's degree in Telecommunication Engineering
Class
1
Survey respondent
7
Average
4.71
2019-20
TRANSMISSION TECHNIQUES
504103008
Bachelor's degree in Telecommunication Systems
Class
1
2
Survey respondent
20
Average
2.15
LINEAR SYSTEMS
504102001
505102001
Bachelor's degree in Telecommunication Systems
Bachelor's degree in Telematic Engineering
Class
2
Survey respondent
20
Average
4.15
(*) Average over a maximum of 5