Marine Survey, Acoustics and Sonar Systems (250587) – Course 2024/25 PDF
Syllabus
Learning Objectives
This subject will focus on three fundamental aspects of marine acoustics. On the one hand, it will show the students the basics of marine exploration through acoustic systems, the design of sonar systems, hydrophones and multi-beam echo sounders for bathymetry measurements, currents (by quantifying the Doppler effect) and free surface, to measure waves and meteorological and astronomical tides. In addition, the students will be shown the techniques and instrumentation used in underwater communications and positioning using acoustic techniques. Emphasis will also be placed on the development of applications capable of limiting the effect of anthropogenic noise in the sea and contributing to the sustainable development of maritime activities. 1. Know the transmission mechanisms of acoustic waves in the marine environment used in communication systems or sonar systems 2. Introduction to the modeling of the acoustic channel of propagation, and the effects of non-linealities such as the Doppler or multipath effect. 3. Know how to use and configure equipment for acoustic communication and exploration based on acoustic techniques. This subject is oriented to the application of technologies of observation, remote perception and automatic exploration of the marine environment, which is essential for the motorization of the coastal water bodies and the obtaining of the necessary data for the control of practically all the activities human resources in the marine environment related to the exploitation of natural and aquacultural resources of the marine and coastal environment. In this subject the students will learn about underwater acoustics, become familiar with the most commonly used terms, and understand the impact of sound on the environment. They will apply data processing techniques to analyze sound, recognize certain patterns from biological and human sources, and classify acoustic events using Python. Learning results Understanding of basic concepts related to underwater acoustics Understanding the effect of noise on the marine environment, in particular marine fauna Use of python for data processing and classification tasks Teaching methodology The course consists of classroom activity where theoretical concepts will be explained. Laboratory hours will be part instruction to explain topics or guide students through the exercises, but most of the time students will work on the exercises by themselves.
Competencies
Especific
To know and apply the lexicon and concepts of the Marine Sciences and Technologies and other related fields.
Establish a good practice in the integration of common numerical, laboratory and field techniques in the analysis of any problem related to the marine environment.
Apply the state-of-the-art numerical and statisticat techniques in the coastal and marine fields for a correctly interpretation of data. (Specific competence of the Marine Technologies Mention)
Use and apply indicators to assess impacts, both natural and anthropogenic, and propose corrective measures with monitoring and surveillance programs. (Specific competence of the Marine Technologies Mention)
Develop a conceptual framework to address the sustainability of the marine environment and the related socio-economic activities at different scales, explaining the effects of climate change.
Carry out calculations, assessments, surveys and inspections in coastal and marine environments, as well as the corresponding technical documents.
Generic
Apply knowledge and academic experience to the control and monitoring of the marine environment and its coastal boundary, using the state-of-the-art tools in the Marine Sciences and Technologies.
Encompass and teach studies in the different research lines that converge in Marine Sciences and Technologies.
Combining preservation with economic activity within the framework of current legislation promoting the development of a social and environmental awareness.
Total hours of student work
Hours | Percentage | |||
---|---|---|---|---|
Supervised Learning | Large group | 40h | 66.70 % | |
Laboratory classes | 20h | 33.30 % | ||
Self Study | 90h |
Teaching Methodology
The subject consists of 4 hours a week of face-to-face classes. They dedicate 2 hours to theoretical classes, in which the teachers expose the basic concepts and materials of the subject, present examples and carry out exercises. They spend 2 hours solving problems with greater interaction with students. Practical programming exercises are carried out in order to consolidate the general and specific learning objectives. The rest of the weekly hours are devoted to laboratory practices. Support material is used in the format of a detailed teaching plan through the ATENEA virtual campus: contents, programming of assessment and guided learning activities and bibliography. Although most of the sessions will be given in the language indicated, sessions supported by other occasional guest experts may be held in other languages.
Grading Rules
The evaluation calendar and grading rules will be approved before the start of the course.
The grade for the course is obtained from the grades from the partial and final evaluation tests, from the follow-up and continuous assessment grades, and from the grades corresponding to the activities in the laboratory and in the field. Continuous assessment consists of doing different activities, both individual and group, of an additive and formative nature, carried out during the course (within the classroom and outside of it). The laboratory grade is the average of the activities of this type. The evaluation tests consist of a part with questions about concepts associated with the learning objectives of the subject in terms of knowledge or understanding, and a set of application exercises. NF = 50% Theory mark + 15% Follow-up marks + 35% Laboratory mark Theory mark: evaluation tests Follow-up marks: exercises and work presented during the course Laboratory mark: previous studies and reports on laboratory and field practices. Grading and admission criteria for reevaluation: Students suspended in the ordinary evaluation who have regularly taken the evaluation tests of the suspended subject and have attended and passed 50% of the corresponding subject, field activities, laboratory and follow-up, they will have the option to take a reevaluation test in the period set in the academic calendar. Students who have already passed it, students classified as not presented, or those who have not passed laboratory / field activities, will not be able to take the re-evaluation test for a subject. The maximum grade in the case of taking the reevaluation exam will be five (5.0). The non-attendance of a student summoned to the reevaluation test, held in the set period, may not lead to the completion of another test with a later date. Extraordinary evaluations will be carried out for those students who, due to accredited force majeure, have not been able to take any of the continuous evaluation tests. These tests must be authorized by the corresponding head of studies, at the request of the professor responsible for the subject, and will be carried out within the corresponding academic period.
Bibliography
Basic
- Géron, A. Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems. 3rd ed. Sebastopol, CA: O'Reilly, 2023. ISBN 9781098125974.