700.698 (22S) Research Seminar in HW/SW Aspects of Machine Learning for Smart Systems and Communications
Overview
Due to the COVID-19 pandemic, it may be necessary to make changes to courses and examinations at short notice (e.g. cancellation of attendance-based courses and switching to online examinations).
For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
- Lecturer
- Course title german Research Seminar in HW/SW Aspects of Machine Learning for Smart Systems and Communications
- Type Seminar (continuous assessment course )
- Course model Blended learning course
- Online proportion 80%
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 6 (40 max.)
- Organisational unit
- Language of instruction English
- Course begins on 01.03.2022
- eLearning Go to Moodle course
Time and place
Please note that the currently displayed dates may be subject to change due to COVID-19 measures.
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Course Information
Intended learning outcomes
- Learning about machine learning and its application on smart systems and communications
- learning about HW and or SW aspects, as complexity, latency, robustness, etc.
- Improving programming skills using Python, or C, or Matlab
- Improve hands-on-experience learning
- Get introduced to literature research
- Improve presentation and writing skills
Teaching methodology including the use of eLearning tools
- The student will be given an assignment/small project on one of the topics.
- The project can be about analysis/simulation or programming or prototyping.
Course content
- Selected topic in the domain of communication systems: algorithms, protocols, 5G, localization, power line communications, information theory.
- Selected topics in smart sytems: smart homes, smart grids, smart cars, UAVs..
Prior knowledge expected
- Programming
- Communication systems
- Signal processing
- Circuits and systems
Link to further information
www.andreatonello.comExamination information
Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
-
Research Seminar aus einem Bereich der Informationstechnik (
0.0h SE / 4.0 ECTS)
- 700.698 Research Seminar in HW/SW Aspects of Machine Learning for Smart Systems and Communications (2.0h SE / 4.0 ECTS)
-
Research Seminar aus einem Bereich der Informationstechnik (
0.0h SE / 4.0 ECTS)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
-
Research Seminar aus einem Bereich der Informationstechnik (
0.0h SE / 4.0 ECTS)
- 700.698 Research Seminar in HW/SW Aspects of Machine Learning for Smart Systems and Communications (2.0h SE / 4.0 ECTS)
-
Research Seminar aus einem Bereich der Informationstechnik (
0.0h SE / 4.0 ECTS)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
Equivalent courses for counting the examination attempts
-
Sommersemester 2024
- 700.698 SE Research Seminar in HW/SW Aspects of Machine Learning for Smart Systems and Communications (2.0h / 4.0ECTS)
-
Wintersemester 2023/24
- 700.698 SE Research Seminar in Machine Learning for Embedded Systems and Communication (2.0h / 4.0ECTS)
-
Sommersemester 2023
- 700.698 SE Research Seminar in HW/SW Aspects of Machine Learning for Smart Systems and Communications (2.0h / 4.0ECTS)
-
Wintersemester 2022/23
- 700.698 SE Research Seminar in Machine Learning for Embedded Systems and Communication (2.0h / 4.0ECTS)
-
Wintersemester 2021/22
- 700.698 SE Research Seminar in Machine Learning for Embedded Systems and Communication (2.0h / 4.0ECTS)
-
Sommersemester 2021
- 700.698 SE Research Seminar in Machine Learning for Embedded Systems and Communication (2.0h / 4.0ECTS)
-
Wintersemester 2020/21
- 700.698 SE Research Seminar in Embedded Communication Systems (2.0h / 4.0ECTS)
-
Sommersemester 2020
- 700.698 SE Research Seminar in Embedded Communication Systems (2.0h / 4.0ECTS)
-
Sommersemester 2019
- 700.698 SE Research Seminar in Embedded Communication Systems (2.0h / 4.0ECTS)
-
Sommersemester 2018
- 700.698 SE Research Seminar in Embedded Communication Systems (2.0h / 4.0ECTS)
-
Wintersemester 2017/18
- 700.698 SE Research Seminar in Embedded Communication Systems (2.0h / 4.0ECTS)
-
Sommersemester 2016
- 700.698 SE Research Seminar in Embedded Communication Systems (2.0h / 4.0ECTS)
-
Sommersemester 2015
- 700.698 SE Research Seminar in Embedded Systems and Signal Processing (2.0h / 6.0ECTS)
-
Wintersemester 2014/15
- 700.698 SE Research Seminar in Embedded Systems and Signal Processing (2.0h / 6.0ECTS)
-
Wintersemester 2012/13
- 700.698 SE Research Seminar in Embedded Systems and Signal Processing (2.0h / 6.0ECTS)