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Description of specialization themes - IES

Description of specialization themes for MTELSYS- and MSELSYS-students at the Department of Electronic Systems.

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Specialization themes – Autumn 2020

TFE01 Low-power design

Course coordinator: Snorre Aunet
Learning outcome: The module shall give a back-ground for power consumption in transistors, circuits and systems. It shall give a basis for specific design choices to reduce the power consumption. For the hardware as well as the software and the operating system on a processor.
Recommended previous knowledge: TFE4151 - Design of Integrated Circuits TFE4171 - Design of Digital Systems 2
Learning methods and activities: Colloquiums. 10-12 weekly colloquiums where the students present 1-2 papers for the group. There might be guest lectures.
Course content: SoC-challenges 2010 - 2020; models for power consumption, static vs. dynamic power consumption. Power on transistor, circuit and system level; SoC (System on Chip) with power control, sensor networks; Low-power algorithms.
Course materials: Papers and book chapters will be given at the semester start.

 

TFE02 Hardware/software co-design with embedded systems

Course coordinator: Per Gunnar Kjeldsberg
Learning outcome: The course shall give the students understanding of topics related to design of embedded systems, typically including both specially designed hardware and software running on a microprocessor.
Recommended previous knowledge: The course assumes a good background in design of digital electronics (e.g., TFE4171 Design of Digital Systems 2) and basic understanding of programming (e.g., TDT4102 Procedural and Object-Oriented Programming). If your background is different but you think the topic can be interesting and useful, we encourage you to contact the course coordinator to see if it is still possible to take the course.
Learning methods and activities: The course will be organized as a combination of lectures, colloquiums (where students present parts of the curriculum).
Course content: Methods and techniques used in HW/SW Codesign are studied. The detailed content can be adapted to the needs of the students taking the course. Typical topics are hw/sw partitioning, estimation of design quality, selection of candidates for and design of hw accelerators, high-level optimization, and compilers for embedded systems.
Course materials: Collection of papers and extracts from books.

 

TFE07 Analog CMOS 2

Course coordinator: Trond Ytterdal
Learning outcome: The course aims to provide a thorough understanding of design of analog and mixed-signal integrated circuits in CMOS for analog and discrete-time signal processing and data conversion.
Recommended previous knowledge: TFE4187 Analog CMOS 1 or equivalent.
Learning methods and activities: Lectures. Assignments, both theoretical and computer based. Mandatory term project. The course may be held in English.
Course content: Theory for analog signal processing, implementation of analog and discrete-time filters. Sample-and-hold circuits, switched-capacitor circuits, data converter fundamentals, advanced transistor modeling. Use of electronic design automation tools.
Course materials: Announced at startup.

 

TFE12 Advanced methods in optics

Course coordinator: Astrid Aksnes
Learning outcome: The course should give an introduction to some important advanced topics in optics.
Recommended previous knowledge: The courses TFE4160 Electrooptics and lasers and preferably TFE4165 Applied photonics, or equivalent.
Learning methods and activities: Lectures and student seminars.
Course content: Quantum electronics. Quantum optics. High speed optics/spectroscopy. THz optics/spectroscopy. Non-linear optics. Emphasis will be on innovative and new areas within optics. The content of the course will to a certain degree be adapted to the students’ technical interests.
Course materials: Lecture notes and tutorials will be posted on the course website.

 

TFE13 Photonic components

Course coordinator: Astrid Aksnes
Learning outcome: The course should give an introduction to some important photonic components and principles.
Recommended previous knowledge: TFE4160 Electrooptics and lasers and preferably TFE4165 Applied photonics, or equivalent.
Learning methods and activities: Lectures, student presentations, self-study, and exercises.
Course content: Photonic crystals and metamaterials. Transfer matrices, scattering matrices and reciprocity. Fiber gratings. Polarization and polarization components. Couplers and circulators. Fiber amplifiers and fiber lasers. Emphasis on applications to sensors and communications. The content will to some extent be adjusted to the students' interests.
Course materials: Saleh & Teich, Fundamentals of Photonics; lecture notes and exercises on the course website.

 

TTT03 Acoustical remote sensing

Course coordinator: Espen Birger Raknes
Learning outcome: The objective is to understand basic principles of acoustic remote sensing including methods and applications.
Recommended previous knowledge: TTT4175 Marine Acoustics or equivalent
Learning methods and activities: Lectures, student presentations, self-study, and exercises.
Course content: Articles on topics of sensing of marine geophysical features, underwater remote sensing methods, systems and instrumentations adapted to the students specializations.
Course materials: Will be given at the semester start

 

TTT09 Communication and coding theory for wireless channels

Course coordinator: Kimmo Kansanen
Learning outcome: The course shall give insight in modern theory and methods for the analysis and design of robust and bandwidth efficient transmission and coding methods that are able to take advantage wireless channels and networks in the best possible manner.
Recommended previous knowledge: The course builds on the courseTTT4130 Digital Communication, or equivalent competence. It will be beneficial to have basic knowledge of information theory, coding and compression.
Learning methods and activities: Lectures, colloquiums and self study
Course content: Channel coding for error correction, therein coded modulation, modern coding techniques, and iterative decoding. Multiple Input Multiple Output (MIMO) systems. Multicarrier modulation. Wireless multiuser communication: channel models, information theoretic limits and access methods. Ad-hoc networks.
Course materials: Information of the course material will be given at the start of the course.

 

TTT12 Numerical acoustics, selected topics

Course coordinator: Peter Svensson
Learning outcome: The object is to give an insight into some methods for numerical modeling of acoustic fields.
Recommended previous knowledge: TTT4180 Technical acoustics or equivalent.
Learning methods and activities: Lectures, exercises with own programming and use of finished software for different calculation methods.
Course content: Calculation methods for accurate resolution of the wave equation, such as finite differences and finite element method, but also high-frequency sympathetic methods based on geometric acoustics, such as the beam path for sound propagation in air and in water.
Course materials: Compendium and articles.

 

TTT16 Speech technology, selected topics

Course coordinator: Torbjørn Svendsen
Learning outcome: The course will present state-of-the-art and unsolved problems within speech tchnology
Recommended previous knowledge: TTT4185 Speech Technology
Learning methods and activities: Lectures and exercises
Course content: The course is composed of a fixed and a variable part. The fixed part deals with basic principles and method for statistical machine learning such as artificial neural networks, deep learning and hidden Markov models. The variable part focuses on current problems and research issues both internationally and specifically for Norwegian language, as well as topics that are relevant for the students’ specialization projects. Examples of topics for the variable part are new structures and methods for speech recognition, HMM-based speech synthesis, technology for language training, speech for automatic identification, etc.
Course materials: The course consists of a fixed part and a part that varies year by year. The course material will consist of scientific papers, lecture notes, examples and demos based on open software packages.

 

TTT17 Environmental Acoustics

Course coordinator: Guillaume Dutilleux
Learning outcome: The outcome of this module will be increased knowledge concerning the impact of noise on humans, both with respect to occupational noise and environmental noise.
Recommended previous knowledge:  
Learning methods and activities: Lectures, self-study, programming and practical assignments.
Course content: The module will give an introduction to background and methods for characterizing noise and the consequences of noise exposure at the workplace and outdoor. The topics covered are: Measurement- and calculation methods, the impact of noise on humans, annoyance, hearing and hearing damage, speech communication in noise, sound propagation in rooms and outdoor, noise control. Both the impact of occupational noise and outdoor noise such as road traffic noise and aircraft noise are discussed.
Course materials: Powerpoint presentation

 

TTT18 Active Microwave Integrated Circuits

Course coordinator: Morten Olavsbråten
Learning outcome: The module will give an overview of different amplifier architectures and linearization techniques.
Recommended previous knowledge: TTT4201 Radio System Design and RF/Microwave Measurement Techniques
Learning methods and activities: Study group.
Course content: This module is mainly focused on Power Amplifiers. The contents are the following: It starts with a brief explanation of amplifier classes (Class A, B, C, D, E, F). From there we move to the first main topic: Power Amplifier architectures (Doherty, Envelope Elimination Restoration (EER), Outphasing (Chirex)). The second main topic: Linearization techniques like Feed-Forward and predistortion (digital and analogue)
Course materials: Announced at startup.

 

TTT19 Marine Acoustics, selected topics

Course coordinator: Hefeng Dong
Learning outcome: The course gives theoretical and numerical treatment of advanced issues in marine acoustics.
Recommended previous knowledge: TTT4175 Marine Acoustics or equivalent.
Learning methods and activities: Lectures and voluntary exercises.
Course content: Topics are selected among nonlinear acoustics, surface and volume scattering, numerical methods for solving wave equation, elastic waves in solid media and methods for measurement and characterization of sea bottom property depending on the students’ specialization.
Course materials: Jens M. Hovem: Marine Acoustics, The Physics of Sound in Underwater Environments, Peninsula Publishing, Los Altos, California, USA, Chapter 12-18

 

TTT20 Bioacoustics

Course coordinator: Guillaume Dutilleux
Learning outcome: The course covers both fundamental aspects of acoustic communication in animals and engineering ones.
Recommended previous knowledge: TTT4180, TTT4175, TTT4170 or any introductory course in acoustics.
Learning methods and activities: Lectures, student presentations, self-study and practical assignment.
Course content: Roles of acoustic communication, sound generation, sound propagation, sound reception, echolocation. Chronic and acute impacts of anthropogenic noise. Mitigation strategies. Bioacoustic monitoring for biodiversity assessment.
Course materials: Announced at startup

 

TTT21 Satellite Systems Engineering

Course coordinator: Milica Orlandic
Learning outcome: The course outlines the different aspects of systems engineering applied to space projects with attention to small satellites and their applications
Recommended previous knowledge:  
Learning methods and activities: The course will be organized as a combination of lectures, colloquiums
Course content: Basics of systems engineering applied to space projects, satellite technology, satellite hardware, the mission life cycle of a space mission, documentation generated in each engineering phase in a space mission, active and passive payload systems, methodologies and standards to product assurance and assembly, integration and verification procedures
Course materials: Collection of papers and extracts from books. The course material will be given at the semester start.

 

TTT22 Room Acoustics

Course coordinator: Peter Svensson
Learning outcome: The course gives a foundation for understanding sound fields and acoustic quality indoors.
Recommended previous knowledge: Technical acoustics or equivalent courses are recommended.
Learning methods and activities: Lectures, self study, programming and experimental tasks.
Course content: The course gives the foundation for understanding how sound is perceived in rooms for speech and music communication, as well as for general acoustic qualities in rooms for various uses. The theoretical models that are used in practice will be presented: wavetheoretical models, diffuse-field models and geometrical acoustics. Solutions for controlling the acoustic conditions will be described, such as sound absorbers and screens. Via measurements indoors the students will learn about common room acoustical measurements. Simulation exercises will illustrate how the theories can be used in practice.
Course materials: Lecture notes.

 

TTT23 Biomedical image- and signal processing and communication

Course coordinator: Ilangko Balasingham
Learning outcome: The course will provide students basic understanding of signal processing algorithms, image processing techniques, and wireless communications solutions, which are emerging as viable solutions in clinical applications.
Recommended previous knowledge: Course TTT4110 Signal Processing and Communication, TTT4120 Digital Signal Processing, and/or TTK4105 Control Systems or equivalent background.
Learning methods and activities: The elective themes can be taught through lectures, seminars and self studies. Home assignments and mini projects can be considered.
Course content: The first part of the course will be about medical signal and image processing techniques. Furthermore, we will study electrical activities in cells, electrocardiogram, electroencephalogram, electromyogram, etc. We will also study principles of MRI, CT, X-ray, Ultrasound, and PET. The second part of the course will give an introduction on wireless body area sensor network and communication solutions. The course has a mini project, where the student(s) will be asked to produce a demonstration on some of the techniques applied for medical data.
Course materials: The text book will be “Biomedical Signal and Image Processing” by Kayvan Najarian & Robert Splinter, Taylor & Francis, 2006 A few papers (2-3) on short range communication and sensor network will be given later.

 

TTT26 Radar

Course coordinator: Egil Eide
Learning outcome: Students will gain basic knowledge of radar systems.
Recommended previous knowledge: Basic radio systems and signal processing.
Learning methods and activities: Students will gain basic knowledge of radar and understand what determines the performance of practical radar systems. The course will be conducted as colloquia where the students present parts of the material to each other. In addition, there will be exercises.
Course content: Introduction to radar systems. The topic contains basic knowledge of radar systems and radar signal processing. The following topics will be covered: Applications of radar, with a wide range of examples. Radar systems and basic radar features. Detection theory and range calculation. Radar Cross Sections and mechanisms that help determine the reflective properties of a radar target. Characterization of different types of background reflections. Methods to minimize the impact of background reflections. Doppler signal processing and how Doppler shift can be utilized to distinguish objects of interest in complex radar environments.
Course materials: "Principles of Modern Radar, Vol I: Basic Principles" by Mark A. Richards et al (SciTech Publishing 2010, reprinted 2015. ISBN 978-1-891121-52-4).

 

TTT4285 Acoustics of the built environment

Course coordinator: Guillaume Dutilleux
Learning outcome:  
Recommended previous knowledge:  
Learning methods and activities:  
Course content:  
Course materials:  

 

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