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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 2019

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: Kjetil Svarstad
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.

 

TTT01 Selected topics in audio signal processing

Course coordinator: Peter Svensson
Learning outcome: The object is to give an insight into some techniques for synthesizing 3D-sound, and microphone techniques for 3D-sound, including the binaural format and Ambisonics.
Recommended previous knowledge: TTT4170 Audio technology or equivalent
Learning methods and activities: Lectures and exercises
Course content: Models of human hearing and related signal processing, directional hearing, sound reproduction techniques for 2D and 3D sound, using headphone or loudspeaker presentation of the sound. Signal processing for microphone arrays including Ambisonics format.
Course materials: Lecture notes and selected papers.

 

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

 

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.

 

TTT14 Numerical Electromagnetics and CAD

Course coordinator: Guennadii A. Kouzaev
Learning outcome: The course outlines different methods and techniques of numerical electromagnetics and computer aided design of microwave integrated circuits.
Recommended previous knowledge: Electromagnetism, Microwave Engineering, Radio Engineering
Learning methods and activities: 4-6 lectures
Course content: Numerical methods used in simulation and design of microwave waveguides and components
Course materials: Will be given at the semester start.

 

TTT15 Satellite communication

Course coordinator: Vendela Maria Paxal
Learning outcome: The course oulines the different aspects concerning satellites and their applications.
Recommended previous knowledge:  
Learning methods and activities: The course will preferably take place on the same weekday as Space technology I. Start during first half of September. Teaching language depends on the students attending.
Course content: Satellite technology, orbits, satellite hardware, link calculations, satellite applications like communication, remote sensing, weather, navigation etc.
Course materials: Will be given at the semester start.

 

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: TTT4200 Radiosystems, Introduction
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.

 

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

 

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: The students will get fundamental knowledge about radar systems.
Recommended previous knowledge: Basic radio systems and signal processing.
Learning methods and activities: Study Group
Course content: Introduction to radar systems. The topic contains fundamental knowledge about radar systems and methods. One or more from the following topics will be studied: Advanced radar systems, synthetic aperture radar, radar for detection of objects with small radar cross section, different background reflections, classification and identification of objects using radar, distributed radar systems, monostatic and bistatic radar systems, mathematical modeling of radar systems, radar technology including transmitters, radar antennas, radar receivers and signal processing systems, signal formats (frequencies, modulation, coding) signal processing (coherent signals, Doppler filtering etc.), and detection theory.
Course materials: "Introduction to Radar Systems" av Merrill I. Skolnik (3. utgave, McGraw-Hill 2001, ISBN 0-07-118189-N).

 

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