1. General information
Course:
ADVANCED PROGRAMMING
Code:
56522
Type:
ELECTIVE
ECTS credits:
6
Degree:
359 - UNDERGRAD. IN INDUSTRIAL ELECTRONICS AND AUTOMAT. ENGINEERING (CR)
Academic year:
2020-21
Center:
Group(s):
20
Year:
4
Duration:
C2
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer:
OSCAR DENIZ SUAREZ
- Group(s):
20
Building/Office
Department
Phone number
Email
Office hours
Edificio Politécnico 2-B03
INGENIERÍA ELÉCTRICA, ELECTRÓNICA, AUTOMÁTICA Y COMUNICACIONES
Via Teams
oscar.deniz@uclm.es
Lecturer:
ANDRES SALOMON VAZQUEZ FERNANDEZ PACHECO
- Group(s):
20
Building/Office
Department
Phone number
Email
Office hours
Edificio Politécnico 2-B02
INGENIERÍA ELÉCTRICA, ELECTRÓNICA, AUTOMÁTICA Y COMUNICACIONES
Vía Teams
andress.vazquez@uclm.es
2. Pre-Requisites
Basic knowledge on the use and programming of computers
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 |
| A02 | To know how to apply knowledge to work or vocation in a professional manner and possess the competences that are usually demonstrated by the formulation and defence of arguments and the resolution of problems in the field of study. |
| A04 | To be able to transmit information, ideas, problems and solutions to a specialized audience. |
| A05 | To have developed the learning skills necessary to undertake subsequent studies with a greater degree of autonomy. |
| A07 | Knowledge of Information Technology and Communication (ITC). |
| A08 | Appropriate level of oral and written communication. |
| A12 | Knowledge of basic materials and technologies that assist the learning of new methods and theories and enable versatility to adapt to new situations. |
| A13 | Ability to take the initiative to solve problems, take decisions, creativity, critical reasoning and ability to communicate and transmit knowledge, skills and abilities in Industrial Electronic Engineering and Automation. |
| E08 | Knowledge of hardware and software necessary for the development of specialized computer systems used in automatized and robotic systems. |
5. Objectives or Learning Outcomes
| Course learning outcomes | |
|---|---|
| Not established. | |
| Additional outcomes | |
| Description | |
6. Units / Contents
-
Unit 1: Introduction
-
Unit 2: Advanced programming languages
-
Unit 3: Data structures and advanced algorithms
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 | A02 A04 A05 A07 A08 A12 A13 E08 | 1.08 | 27 | N | N | ||
| Laboratory practice or sessions [ON-SITE] | Combination of methods | A02 A04 A05 A07 A08 A12 A13 E08 | 1.2 | 30 | Y | Y | ||
| Study and Exam Preparation [OFF-SITE] | Self-study | A02 A04 A05 A07 A08 A12 A13 E08 | 1.2 | 30 | N | N | ||
| Final test [ON-SITE] | Assessment tests | A02 A04 A05 A07 A08 A12 A13 E08 | 0.12 | 3 | Y | Y | ||
| Writing of reports or projects [OFF-SITE] | Guided or supervised work | A02 A04 A05 A07 A08 A12 A13 E08 | 2.4 | 60 | Y | Y | ||
| 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 |
| Assessment of activities done in the computer labs | 30.00% | 0.00% | |
| Laboratory sessions | 25.00% | 0.00% | |
| Final test | 45.00% | 100.00% | |
| 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 |
| Unit 1 (de 3): Introduction | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Combination of methods] | 10 |
| Laboratory practice or sessions [PRESENCIAL][Combination of methods] | 10 |
| Unit 2 (de 3): Advanced programming languages | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Combination of methods] | 14 |
| Laboratory practice or sessions [PRESENCIAL][Combination of methods] | 14 |
| Unit 3 (de 3): Data structures and advanced algorithms | |
|---|---|
| Activities | Hours |
| Class Attendance (theory) [PRESENCIAL][Combination of methods] | 4 |
| Laboratory practice or sessions [PRESENCIAL][Combination of methods] | 4 |
| Global activity | |
|---|---|
| Activities | hours |
10. Bibliography and Sources
