1. General information
Course:
INTERNET OF THINGS
Code:
42409
Type:
ELECTIVE
ECTS credits:
6
Degree:
405 - DEGREE IN COMPUTER SCIENCE ENGINEERING (TA)
Academic year:
2022-23
Center:
15 - FACULTY OF SOCIAL SCIENCES OF TALAVERA
Group(s):
60
Year:
4
Duration:
C2
Main language:
Spanish
Second language:
Spanish
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer:
RUBÉN CANTARERO NAVARRO
- Group(s):
60
Building/Office
Department
Phone number
Email
Office hours
2.4
TECNOLOGÍAS Y SISTEMAS DE INFORMACIÓN
Ruben.Cantarero@uclm.es
https://www.uclm.es/toledo/fcsociales/grado-informatica/profesorado-
y-tutorias
2. Pre-Requisites
Knowledge of programming in C/C++, Python and Java. In addition, it is strongly recommended to have passed the subjects of:
- Computer Networks I and II
- Fundamentals of Programming I and II
- Concurrent Programming and Real Time
- Distributed Systems
3. Justification in the curriculum, relation to other subjects and to the profession
Internet of Things is integrated into the complementary training option of the programme of studies, where the main concepts, technologies and tools for the acquisition, transmission and analysis of information in intelligent environments are introduced. In this subject the student acquires the basic skills for understanding the management of networks, sensors or monitoring through the network. To this end, students acquire the necessary knowledge of networks and services in terms of existing protocols, most commonly used technologies, wired and wireless networks.
4. Degree competences achieved in this course
| Course competences | |
|---|---|
| Code | Description |
| BA05 | Knowledge about the structure, organization, functioning, and inter connexions of digital programmes, with their application in engineering problems. |
| 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. |
| 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 |
| CM05 | Ability to acquire, formalise, and represent human knowledge in a computable form for the solution of problems throughout a digital system in any application context, especially the one linked to computational aspects, perception, and behaviour in intelligent frames. |
| INS04 | Problem solving skills by the application of engineering techniques. |
| PER01 | Team work abilities. |
| PER02 | Ability to work in an international context. |
| SI01 | Ability to integrate information and communiction technology solutions and entrepeneurial process so as to fulfil the needs for information in organisation, allowing them to meet their goals in an effective and efficient manner, providing them with competitive benefits. |
| SIS08 | Initiative and entrepreneurial abilities. |
| TI06 | Ability to foster systems, applications, and services based on network technologies, including the internet, web, electronic commerce, mulimedia, interactive sercices, and mobile computation. |
| UCLM02 | Ability to use Information and Communication Technologies. |
5. Objectives or Learning Outcomes
| Course learning outcomes | |
|---|---|
| Description | |
| Acquisition of knowledge about Internet of Things development tools, languages, and platforms. | |
| Ability to conceive, design and characterise Internet of Things projects. | |
| Knowledge of the application scenarios of the Internet of Things in the company/market. | |
| Knownledge and understanding of the paradigm of Ubiquitous Computing, Ambient Intelligence and Context Sensitive Environments. | |
| Ability to use tools and develop applications and services that process information and provide intelligence to the environment of organisations. | |
| Use of the theoretical and practical knowledge acquired to implement Ubiquitous Context Sensitive Information Systems. | |
| Additional outcomes | |
| Description | |
6. Units / Contents
-
Unit 1: Introduction
-
Unit 2: IoT network architecture and design
-
Unit 3: Smart objects
-
Unit 4: Connecting smart objects
-
Unit 5: Data and analytics for the IoT
-
Unit 6: IoT domains
-
Unit 7: Impact of IoT on business
7. Activities, Units/Modules and Methodology
| Training Activity | Methodology | Related Competences | ECTS | Hours | As | Com | Description | |
| Class Attendance (theory) [ON-SITE] | Lectures | BA05 SI01 TI06 UCLM02 | 0.72 | 18 | N | N | Teaching of the subject matter by lecturer (MAG) | |
| Individual tutoring sessions [ON-SITE] | BA05 SI01 TI06 UCLM02 | 0.18 | 4.5 | N | N | Individual or small group tutoring in lecturer¿s office, classroom or laboratory (TUT) | ||
| Study and Exam Preparation [OFF-SITE] | Self-study | BA05 CB02 CB05 CM05 INS04 SI01 TI06 UCLM02 | 2.1 | 52.5 | N | N | Self-study (EST) | |
| Other off-site activity [OFF-SITE] | Practical or hands-on activities | BA05 CB04 CM05 INS04 PER01 PER02 SI01 SIS08 TI06 UCLM02 | 0.6 | 15 | N | N | Lab practical preparation (PLAB) | |
| Problem solving and/or case studies [ON-SITE] | Problem solving and exercises | BA05 CB02 CB04 CM05 INS04 PER01 PER02 SI01 SIS08 TI06 UCLM02 | 0.6 | 15 | Y | N | Worked example problems and cases resolution by the lecturer and the students (PRO) | |
| Writing of reports or projects [OFF-SITE] | Self-study | BA05 CB02 CB04 CM05 INS04 PER01 PER02 SI01 SIS08 TI06 UCLM02 | 0.9 | 22.5 | Y | N | Preparation of essays on topics proposed by lecturer (RES) | |
| Laboratory practice or sessions [ON-SITE] | Practical or hands-on activities | BA05 CB04 CM05 INS04 PER01 PER02 SI01 SIS08 TI06 UCLM02 | 0.6 | 15 | Y | Y | Realization of practicals in laboratory /computing room (LAB) | |
| Other on-site activities [ON-SITE] | Assessment tests | BA05 CB04 CB05 INS04 | 0.3 | 7.5 | Y | Y | Partial test 1 of the first half of the syllabus of the subject (EVA) | |
| 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 |
| Theoretical papers assessment | 15.00% | 15.00% | Non-compulsory activity that can be retaken. To be carried out before end of teaching period |
| Final test | 45.00% | 45.00% | Compulsory activity that can be retaken (rescheduling) to be carried out within the planned exam dates of the final exam call (convocatoria ordinaria). |
| Laboratory sessions | 30.00% | 30.00% | Compulsory activity that can be retaken. To be carried out during lab sessions |
| Oral presentations assessment | 10.00% | 0.00% | Non-compulsory activity that cannot be retaken. To be carried out during the theory/lab sessions for students in the continuous assessment modality |
| Total: | 100.00% | 90.00% |
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:In compulsory activities, a minimum mark of 40% is required in order to pass that activity and have the possibility to therefore pass the entire subject. The evaluation of the activities will be global and therefore must be quantified by means of a single mark. If the activity consists of several sections, each section may be evaluated separately provided students are informed in writing of this evaluation criterion at the beginning of the academic year. In the case of the activities that may be retaken (i.e., rescheduling), an alternative activity or test will be offered in the resit/retake exam call (convocatoria extraordinaria).
The final exam will be common for all the theory/laboratory groups of the subject and will be evaluated by the lecturers of the subject in a serial way, i.e., each part of the final exam will be evaluated by the same lecturer for all the students. A student is considered to pass the subject if she/he obtains a minimum of 50 points out of 100, taking into account the points obtained in all the evaluable activities, and also has passed all the compulsory activities.
For students who do not pass the subject in the final exam call (convocatoria ordinaria), the marks of activities already passed will be conserved for the resit/retake exam call (convocatoria extraordinaria). If an activity is not recoverable, its assessment will be preserved for the resit/retake exam call (convocatoria extraordinaria) even if it has not been passed. In the case of the passed recoverable activities, the student will have the opportunity to receive an alternative evaluation of those activities in the resit/retake exam call and, in that case, the final grade of the activity will correspond to the latter grade obtained.
The mark of the passed activities in any call, except for the final exam, will be conserved for the subsequent academic year at the request of the student, provided that mark is equal or greater than 50% and that the activities and evaluation criteria of the subject remain unchanged prior to the beginning of that academic year.
The failure of a student to attend the final exam will automatically result in her/him receiving a "Failure to attend¿ (no presentado). If the student has not passed any compulsory evaluation activity, the maximum final grade will be 40%. -
Non-continuous evaluation:Students who are unable to attend training activities on a regular basis may apply at the beginning of the semester for the non-continuous assessment mode. Similarly, if a student who is undergoing continuous assessment incurs any circumstance that prevents her/him from regularly attending the classroom-based training activities, she/he may renounce the accumulated mark in continuous assessment and apply for the non-continuous assessment mode.
In the same way, the student may change to the non-continuous evaluation mode as long as she/he has not participated during the teaching period in evaluable activities that together account for at least 50% of the total mark of the subject. If a student has reached this 50% of the total obtainable mark or the teaching period is over, she/he will be considered in continuous assessment without the possibility of changing to non-continuous evaluation mode.
Students who take the non-continuous evaluation mode will be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences), through the assessment systems indicated in the column "Non-continuous evaluation".
In the "non-continuous evaluation" mode, it is not compulsory to keep the mark obtained by the student in the activities or tests (progress test or partial test) taken in the continuous assessment mode.
Specifications for the resit/retake exam:
Evaluation tests will be conducted for all recoverable activities.
Specifications for the second resit / retake exam:
Same characteristics as the resit/retake exam call.
9. Assignments, course calendar and important dates
| Not related to the syllabus/contents | |
|---|---|
| Hours | hours |
| Individual tutoring sessions [PRESENCIAL][] | 4.5 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 52.5 |
| Other off-site activity [AUTÓNOMA][Practical or hands-on activities] | 22.5 |
| Writing of reports or projects [AUTÓNOMA][Self-study] | 13.5 |
| Laboratory practice or sessions [PRESENCIAL][Practical or hands-on activities] | 15 |
| Other on-site activities [PRESENCIAL][Assessment tests] | 3.75 |
| Global activity | |
|---|---|
| Activities | hours |
| General comments about the planning: | The subject is taught in 3 x 1,5 hour sessions per week. The planning might experience changes due to unforeseen circumstances. |
10. Bibliography and Sources