Degree | Type | Year | Semester |
---|---|---|---|
4314099 Computer Vision | OB | 0 | 1 |
Degree in Engineering, Maths, Physics or similar
Module Coordinator: David Merino
Introduction to research dissemination seeks to introduce students to the process of dissemination of results. This process will be divided into two areas:
Finally we will deal with some important issues regarding ethical issues in research and plagiarism
The course as a part of the master in Computer Vision deals with the non vision-based and transversal aspects of research dissemination. This module 7 is completely independent in terms of contents (although not in terms of activities) from Modules 1-4 that are simultaneously offered by the other 3 Universities of the consortium.
The main competences of the course will consist on:
The course will be divided in 5 different topics, with specific activities that will be assessed at the end of each module. Essentially the syllabus will be:
1. - Edition of scientific texts: LaTeX
2. - Presentation of research results
3. Writing scientific papers
4. Publication of research results
5. Ethics in R & D
The teaching methodology will be based in the continuous assessment of a set of activities that will be provided in the virtual campus. This is an activity based online course, where the student fix his own pace and he decides when he dedicates his time to the module. There are only specific deadlines for delivering the activities. Essentially the student will be provided by:
The student is supposed to visualize the video lectures and resources, and ask any doubt in the forum boards of the course. The active participation in the forum, asking questions, answering questions from other students and posting opinions in the open debates is highly recommended in the course.
The student will have academic tutors that will answer your questions in the forum boards, and they will guide him through the learning process. Many of the activities delivered will be corrected and appropriate feedback will be provided.
The nature of this course is very challenging, and one of the key competences in the module is the delivering of successful oral presentations. Students should prepare an appropriate environment to record themselves delivering oral presentations. The basic methodology of the course is learning practicing.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Edition of scientific texts: LATEX | 10 | 0.4 | 1 |
Ethics in Research | 5 | 0.2 | 3, 4 |
Oral presentations | 15 | 0.6 | 2 |
Writing Scientific Texts | 15 | 0.6 | 2, 1 |
The final marks for this module will be computed with the following formula:
Final Mark = 0.4 x Oral presentations + 0.2 x LaTeX skills + 0.2 x Writing style + 0.1 x Ethics in research + 0.1 x Research dissemination tools.
where:
Oral presentations: Is a grade obtained in the short presentation at the beginning of the module (0.05) + the grade obtained after the presentation of modules 1/2 (0.15) + the grade of the final presentation of modules 3/4 (0.20)
LaTeX skills: is the mark obtained from the written report from modules 1/2 and modultes 3/4, checking only the rich use of LaTeX.
Writing style: is the mark obtained from the written report from modules 1/2 and modules 3/4, checking the writing style.
Ethics in research: is the mark obtained in a debate participation.
Research dissemination tools: is the mark obtained in a Quizz to grade the activity.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Ethics in Research: Debate | 10% | 10 | 0.4 | 3, 4 |
Oral Presentation: introduce yourself | 5% | 5 | 0.2 | 2 |
Oral Presentation: machine learning techniques for computer vision | 20% | 20 | 0.8 | 2 |
Oral presentation: introduction to human and computer vision (Module 1) | 15% | 20 | 0.8 | 2 |
Publishing Research Results: quiz test | 10% | 10 | 0.4 | 4 |
Writing Scientific Texts: introduction to computer vision | 10% | 20 | 0.8 | 2, 1 |
Writing of Scientific Texts: machine learning techniques for computer vision | 10% | 20 | 0.8 | 2, 1 |
The materials located in space Classroom resources will help further the goals of the course.
The tutors will use the Message Board, which is classroom space communication, and will provide documents and other information to complement previous and explanatory videos on specific topics.
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