Course - Machine Learning for Signal Processing - TTT4185
TTT4185 - Machine Learning for Signal Processing
About
Examination arrangement
Examination arrangement: School exam
Grade: Letter grades
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| School exam | 100/100 | 4 hours | D |
Course content
Basic methods for statistical pattern recognition/machine learning. Deep neural networks, support vector machines, misture models, hidden Markov models. 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 in August, the examination form may be changed from written to oral.
Recommended previous knowledge
TTT4120 Digital Signal Processing or equivalent.
Course materials
The main book is Bishop's Pattern Classification and Machine Learning
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 2024
Language of instruction: English
Location: Trondheim
- Technological subjects
Department with academic responsibility
Department of Electronic Systems
Examination
Examination arrangement: School exam
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD School exam 100/100 D 2024-12-02 15:00 INSPERA
-
Room Building Number of candidates SL430 Sluppenvegen 14 32 SL110 lilla sone Sluppenvegen 14 29 SL321 Sluppenvegen 14 1 SL238 Sluppenvegen 14 1 - Summer UTS School exam 100/100 D 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.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"