LevelMaster
LanguageEnglish
Available forAll Aalto students
Theme

Materials and sustainable use of natural resources

and

ICT and digitalisation


Basic information

Sivuaine suomeksi: Signaalin-, puheen- ja kielenkäsittely

Biämne på svenska: Signal-, tal- och språkbehandling

Code: ELEC3034

Extent: 20-25 credits

Language: English

Professor in charge: Mikko Kurimo

Target group: All students with sufficient prerequisite knowledge.

Application procedure: No separate application procedure.

Prerequisites: There are no compulsory prerequisite courses. However, in order to succeed in the minor the student needs good skills in mathematics, especially in linear algebra, calculus, probability theory and statistics, programming skills, basic understanding of linear systems and basic knowledge and skills in analog and digital signal processing. In Aalto University helpful courses include for example MS-A0003 Matrix algebra (ELEC1) and similar courses, MS-A0501 First course in probability and statistics and similar courses, ELEC-A7100 Basic Course in C programming, ELEC-A7200 Signals and Systems, ELEC-C5230 Digital Signal Processing Basics, ELEC-C5340 Applied Digital Signal Processing and ELEC-C5210 Stochastic Processes in Communications.

Content and structure of the minor

The purpose of the minor is to provide the students with a background in either Modern Signal Processing or Speech and Language Processing. Courses in Signal Processing provide a toolbox of knowledge on signals and systems modeling, representation through transforms, and systems optimization and implementation. Some emphasis will be given on the most recent research priorities in the field of signal processing, such as the domains of data analysis, compression and storage, communications and representation of signals. Courses in Speech Processing provide the students with the basics of speech and language processing, as well as the ability to apply those in various fields of science and technology. Speech and Language Processing utilizes signal processing, mathematical modeling and machine learning for statistical language modeling, information retrieval, and speech analysis, synthesis, recognition and coding.

The minor consist of two common compulsory courses (10 cr) and two or three elective courses (10-15 cr).

Code

Name

Credits

Teaching period

Compulsory courses

10


CS-E3210

Machine Learning: Basic Principles 5I-II

ELEC-E5410

Signal Processing for Communications

5

I-II

Optional courses

10


Choose 10 credits.

CS-E4600

Algorithmic Methods of Data Analysis

5

I-II

ELEC-E5422Convex Optimization I P5I
ELEC-E5423Convex Optimization II P5II
ELEC-E5431Large Scale Data Analysis P5III-IV
ELEC-E5521

Speech and Language Processing Methods P

5

III-IV

CS-E4070Special Course in Machine Learning and Data Science3-10

ELEC-E5500

Speech Processing

5

I-II

ELEC-E5510

Speech Recognition P

5

II

ELEC-E5550

Statistical Natural Language Processing P

5

III-IV

ELEC-E5440

Statistical Signal Processing P 5I-II