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About
José Miguel Morales Illán
PhD en Tecnologías de la Información y las Comunicaciones en la Universidad Politécnica de Cartagena (ESPAÑA) - 2016
Engineer in Computer Science from University of Murcia (SPAIN) - 2000
Office Hours
Tutorials will be carried out by request of the student sending an email to josemiguel.morales@upct.es
Teaching
Course
Degree
Type
Duration
ECTS
APPLIED COMPUTING
Bachelor's degree in Industrial Electronics and Automation Engineering
Type
BS
Duration
1Q
ECTS
6
REAL-TIME SYSTEMS PROGRAMMING
Bachelor's degree in Industrial Electronics and Automation Engineering
Type
B
Duration
2Q
ECTS
4.5
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 (*)
2024-25
COMPUTING
522101004
523101004
523101004
Bachelor's degree in Civil Engineering
Bachelor's degree in Energy and Mineral Resource Engineering
Bachelor's degree in Energy and Mineral Resource Engineering
Class
1
Survey respondent
11
Average
4.18
APPLIED COMPUTING
507101004
507101004
Bachelor's degree in Industrial Electronics and Automation Engineering
Class
2
Survey respondent
9
Average
4.56
REAL-TIME SYSTEMS PROGRAMMING
507103008
507103008
Bachelor's degree in Industrial Electronics and Automation Engineering
Class
1
Survey respondent
7
Average
4.43
2023-24
APPLIED COMPUTING
507101004
Bachelor's degree in Industrial Electronics and Automation Engineering
Class
1
Survey respondent
15
Average
4.2
REAL-TIME SYSTEMS PROGRAMMING
507103008
507103008
Bachelor's degree in Industrial Electronics and Automation Engineering
Class
1
Survey respondent
12
Average
4.42
APPLIED COMPUTING
506101004
506101004
Bachelor's degree in Electrical Engineering
Class
1
Survey respondent
3
Average
3.33
APPLIED COMPUTING
509101004
509101004
Bachelor's degree in Industrial Chemical Engineering
Class
1
Survey respondent
7
Average
4.43
2022-23
REAL-TIME SYSTEMS PROGRAMMING
507103008
Bachelor's degree in Industrial Electronics and Automation Engineering
Class
1
Survey respondent
12
Average
4.17
APPLIED COMPUTING
507101004
521101001
507101004
521101001
Doble Grado en Ingeniería Electrónica Industrial y Automática y en Ingeniería Biomédica
Bachelor's degree in Industrial Electronics and Automation Engineering
Bachelor's degree in Biomedical Engineering
Bachelor's degree in Industrial Electronics and Automation Engineering
Bachelor's degree in Biomedical Engineering
Class
1
Survey respondent
16
Average
4.56
APPLIED COMPUTING
507101004
521101001
507101004
521101001
Doble Grado en Ingeniería Electrónica Industrial y Automática y en Ingeniería Biomédica
Bachelor's degree in Industrial Electronics and Automation Engineering
Bachelor's degree in Biomedical Engineering
Bachelor's degree in Industrial Electronics and Automation Engineering
Bachelor's degree in Biomedical Engineering
Class
3
Survey respondent
4
Average
4.75
2021-22
APPLIED COMPUTING
507101004
521101001
521101001
Doble Grado en Ingeniería Electrónica Industrial y Automática y en Ingeniería Biomédica
Bachelor's degree in Industrial Electronics and Automation Engineering
Bachelor's degree in Biomedical Engineering
Bachelor's degree in Industrial Electronics and Automation Engineering
Bachelor's degree in Biomedical Engineering
Class
1
Survey respondent
18
Average
3.94
2020-21
APPLIED COMPUTING
507101004
Bachelor's degree in Industrial Electronics and Automation Engineering
Class
1
Survey respondent
24
Average
4.38
REAL-TIME SYSTEMS PROGRAMMING
507103008
507103008
Bachelor's degree in Industrial Electronics and Automation Engineering
Class
1
Survey respondent
15
Average
4.47
APPLIED COMPUTING
509101004
509101004
Bachelor's degree in Industrial Chemical Engineering
Class
1
Survey respondent
20
Average
4.25
(*) Average over a maximum of 5