1. General information
Course:
ADVANCED MATHEMATICS
Code:
56311
Type:
BASIC
ECTS credits:
6
Degree:
413 - UNDERGRADUATE DEGREE PROGRAMME IN ELECTRICAL ENGINEERING
Academic year:
2022-23
Center:
605 - SCHOOL OF INDUSTRIAL ENGINEERS. AB
Group(s):
14
10
11
Year:
2
Duration:
First semester
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer:
JOSE CARLOS VALVERDE FAJARDO
- Group(s):
10
Building/Office
Department
Phone number
Email
Office hours
INFANTE JUAN MANUEL/0C2
MATEMÁTICAS
926053253
jose.valverde@uclm.es
2. Pre-Requisites
Not established
3. Justification in the curriculum, relation to other subjects and to the profession
Not established
4. Degree competences achieved in this course
| Course competences | |
|---|---|
| Code | Description |
| CB02 | Apply their knowledge to their job or vocation in a professional manner and show that they have the competences to construct and justify arguments and solve problems within their subject area. |
| CB03 | Be able to gather and process relevant information (usually within their subject area) to give opinions, including reflections on relevant social, scientific or ethical issues. |
| CB04 | Transmit information, ideas, problems and solutions for both specialist and non-specialist audiences. |
| CB05 | Have developed the necessary learning abilities to carry on studying autonomously |
| CEB01 | Ability to solve mathematical problems that may arise in engineering. Ability to apply knowledge of linear algebra; geometry, differential geometry, differential and partial differential equations, numerical methods, numerical algorithms, statistics and optimisation. |
| CG03 | Knowledge of basic and technological subjects to facilitate learning of new methods and theories, and provide versatility to adapt to new situations. |
| CG04 | Ability to solve problems with initiative, decision-making, creativity, critical reasoning and to communicate and transmit knowledge, skills and abilities in the field of industrial engineering. |
| CT02 | Knowledge and application of information and communication technology. |
| CT03 | Ability to communicate correctly in both spoken and written form. |
5. Objectives or Learning Outcomes
| Course learning outcomes | |
|---|---|
| Description | |
| Ability to approximate functions and data by means of power series and de Fourier developments and their applications. | |
| Ability to describe processes related to industrial engineering subjects by means of ordinary differential equations and partial differential equations, solve them and interpret the results. | |
| Ability to express oneself correctly orally and in writing and, in particular ability to use the language of mathematics as a way of accurately expressing the quantities and operations that appear in industrial engineering. Acquired habits of working in a team and behaving respectfully. | |
| Additional outcomes | |
| Not established. |
6. Units / Contents
-
Unit 1:
-
Unit 2:
-
Unit 3:
-
Unit 4:
-
Unit 5:
-
Unit 6:
7. Activities, Units/Modules and Methodology
| Training Activity | Methodology | Related Competences (only degrees before RD 822/2021) | ECTS | Hours | As | Com | Description | |
| Class Attendance (theory) [ON-SITE] | Combination of methods | 1.2 | 30 | Y | N | |||
| Problem solving and/or case studies [ON-SITE] | Combination of methods | 0.6 | 15 | Y | N | |||
| Computer room practice [ON-SITE] | Practical or hands-on activities | 0.4 | 10 | Y | N | |||
| Formative Assessment [ON-SITE] | Assessment tests | 0.2 | 5 | Y | N | |||
| Study and Exam Preparation [OFF-SITE] | Self-study | 3.6 | 90 | Y | N | |||
| Total: | 6 | 150 | ||||||
| Total credits of in-class work: 2.4 | Total class time hours: 60 | |||||||
| Total credits of out of class work: 3.6 | Total hours of out of class work: 90 | |||||||
As: Assessable training activity Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).
8. Evaluation criteria and Grading System
| Evaluation System | Continuous assessment | Non-continuous evaluation * | Description |
| Laboratory sessions | 10.00% | 10.00% | |
| Final test | 70.00% | 90.00% | |
| Projects | 20.00% | 0.00% | |
| Total: | 100.00% | 100.00% |
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).
Evaluation criteria for the final exam:
-
Continuous assessment:Evaluation criteria not defined
-
Non-continuous evaluation:Evaluation criteria not defined
Specifications for the resit/retake exam:
Evaluation criteria not defined
Specifications for the second resit / retake exam:
Evaluation criteria not defined
9. Assignments, course calendar and important dates
| Not related to the syllabus/contents | |
|---|---|
| Hours | hours |
| Class Attendance (theory) [PRESENCIAL][Combination of methods] | 30 |
| Problem solving and/or case studies [PRESENCIAL][Combination of methods] | 15 |
| Computer room practice [PRESENCIAL][Practical or hands-on activities] | 10 |
| Formative Assessment [PRESENCIAL][Assessment tests] | 5 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 90 |
| Global activity | |
|---|---|
| Activities | hours |
10. Bibliography and Sources
