Course - Machine Learning for Signal Processing - TTT4185
TTT4185 - Machine Learning for Signal Processing
About
Examination arrangement
Examination arrangement: Home examination
Grade: Passed / Not Passed
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
Home examination | 100/100 | 4 hours |
Course content
Basic methods for statistical pattern recognition/machine learning. Deep neural networks, support vector machines, random forests, hidden Markov models, Gaussian processes. Design, training and evaluation of machine learning models. Extraction of feature vectors with applications to speech technology, medical signal processing and multimedia signal processing.
Learning outcome
Knowledge The candidate has - good understanding of the theoretical principles and practical aspects of using statistical pattern recognition/machine learning - good understanding of best practice with regards to the use of training, validation and test data - broad knowledge on the properties of speech, medical and multimedia signals - broad knowledge on feature extraction for wide variety of signals Skill: The candidate can - use and/or design software for use in train and evaluate models based on machine learning methods - evaluate the performance of machine learning systems General competence: The candidate can - the insights in the interplay between basis technology and development of machine learning systems - conduct teamwork and documentation
Learning methods and activities
Lectures, mandatory computer exercises.
Compulsory assignments
- Computer assignments
Further on evaluation
If there is a re-sit examination, the examination form may be changed from written to oral.
Recommended previous knowledge
TTT4120 Digital Signal Processing or equivalent.
Course materials
Text book will be announced at semester start.
Credit reductions
Course code | Reduction | From | To |
---|---|---|---|
SIE2090 | 7.5 |
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2021
Language of instruction: English
Location: Trondheim
- Technological subjects
Department with academic responsibility
Department of Electronic Systems
Examination
Examination arrangement: Home examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
-
Autumn
ORD
Home examination (1)
100/100
Release
2021-12-17Submission
2021-12-17
09:00
INSPERA
13:00 -
Room Building Number of candidates - Summer UTS Home examination 100/100 INSPERA
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
- 1) Merk at eksamensform og karakterregel er endret som et smittevernstiltak i den pågående koronasituasjonen.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"