Description of specialization themes related to specialization course TFE4595 Electronic Systems Design, for MTELSYS- and MSELSYS-students at the Department of Electronic Systems.

The final list will be published at the beginning of May.

Norsk versjon - "Beskrivelse av fordypningstema - IES"

3,75 study credits:

TFE01 Design of low-power embedded systems

Course coordinator: Snorre Aunet
Learning outcome: The module shall provide knowledge about power consumption in electronic circuits and systems as well as techniques for design of embedded systems consisting of both hardware and software components. It shall give a theoretical foundation for specific design choices to reduce power- and energy consumption in embedded systems. Ways to reduced power and energy on both full custom, tailor-made electronics as well as software running on commercially available processors are treated.
Recommended previous knowledge: TFE4151 - Design of Integrated Circuits, TFE4141 – Design of Digital Systems 1, TFE4171 - Design of Digital Systems 2 Basic knowledge in programming, e.g., from TDT4102 Procedural and Object-Oriented Programming is recommended.
Learning methods and activities: Colloquiums and regular lectures organized by Per Gunnar Kjeldsberg and Snorre Aunet
Course content: Models for power consumption, static vs. dynamic power consumption; Power- and energy consumption at circuit and system levels; HW/SW partitioning and hardware acceleration; SoC (System on Chip) with power control; Low-power algorithms 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 complementary understanding of design of analog and mixed-signal integrated circuits in CMOS.
Recommended previous knowledge: TFE4187 Analog CMOS 1 or equivalent.
Learning methods and activities: Colloquiums and semester 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.
Course materials: Announced at startup.

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.

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.

TTT16 Speech technology, selected topics

Course coordinator: Giampiero Salvi
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 environmental noise.
Recommended previous knowledge: TTT4180, TTT4175, TTT4170 or any introductory course in acoustics.
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 outdoor. The topics covered are: Measurement- and calculation methods, the impact of noise on humans, annoyance, hearing, speech communication in noise, sound propagation in rooms and outdoor, noise control. Outdoor noise such as road traffic noise and aircraft noise are discussed.
Course materials: Lecture notes, bookc chapters, scientific papers, slides, standards.

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 (where the students present parts of the syllabus themselves), simulation tasks.
Course content: This module is mainly focused on RF Transmitter 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

TTT21 Satellite systems engineering and satellite communication

Course coordinator: Milica Orlandic
Learning outcome: The course provides an insight into the various aspects of satellites and their applications. In addition, the course includes the various aspects of system engineering used in space projects, especially small satellites and their applications.
Recommended previous knowledge:
Learning methods and activities: The topic will be run as a combination of lectures and colloquiums. The language of instruction will be determined depending on the needs of the enrolled students.
Course content: Satellite technology, orbits, satellite construction, link calculations, overview of various application areas such as communication, remote sensing, meteorology, navigation, etc. Fundamentals of system engineering used in space projects, satellite technology, the life cycle of a space mission, documentation generated in each design phase of a space mission, active and passive payload systems, methods and standards for product assurance and assembly, integration and verification procedures (AIV). The course includes an excursion to Andøya for the practice of the AIV part of the course. The number of students is limited, and students in the “Space System” main profile will be given priority.
Course materials: To be announced at the start of the semester.

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: Yngve Steinheim
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 Volume 1: Basic Principles, 2nd edition. (Scitech Publishing 2023, ISBN 15: 978-1839533815)

TTT27 Satellite and Inertial Navigation Systems

Course coordinator: Egil Eide
Learning outcome: Provide insight into the modes of operation and applications of global navigation satellite systems (GNSS) and GNSS augmentation techniques, including processing algorithms. This also includes understanding of inertial navigation and how GNSS measurements can be integrated with the inertial navigation systems and used to correct these. Alternative usage of GNSS.
Recommended previous knowledge: Recommended prior knowledge is knowledge of Kalman filtering, TTT4150 or equivalent.
Learning methods and activities: Teaching activities will be lectures. Teaching language will be determined depending on the needs of enrolled students.
Course content: Satellite and inertial navigation.
Course materials: Will be given at the start of the semester.

7,5 study credits:

TTT4290 Bioacoustics for biodiversity

Course coordinator: Guillaume Dutilleux
Learning outcome: The candidate has knowledge of: Sound generation in animals Atmospheric and underwater sound propagation Hearing in animals Effect of anthropogenic noise Sensors and equipment for bioacoustic monitoring The candidate can: Design and implement the collection of bioacoutic data Post-process bioacoustical field recording with dedicated software tools of programming General competence: The course gives experience in technical writing and field work.
Recommended previous knowledge: Acoustics, Biologi, Ethology, Ecology, Programming
Learning methods and activities: Lectures, student presentations, self-study and practical assignment with report.
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.