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Embedded and Distributed AI 7,5 hp

Undervisningen bedrivs på engelska.

Kursinnehåll

The course includes the following elements:
- Introduction to Embedded and Distributed AI (architectures, platforms, sensors)
- Introduction to Image processing and computer vision
- Feature engineering and object detection on embedded systems
- Semantic segmentation and real-time processing on embedded systems
- TinyML and applications
- Real-time tracking, 3D reconstruction and SLAM on edge devices
- Transfer learning and mobile applications (using TensorFlowJS and TensorFlowLite)
- IoT applications and using clouds for distributed system development
- Introduction to natural language processing (NLP) and examples by using Google Cloud
- Introduction to cloud computing
- Introduction to CUDA parallel programming
- Introduction to Sensor Fusion
- Introduction to Distributed/Federated Learning

Förkunskapskrav

Passed courses at least 90 credits within the major subject Computer Engineering, Electrical Engineering (with relevant courses in Computer Engineering), or equivalent, or passed courses at least 150 credits from the programme Computer Science and Engineering, and completed course Machine Learning, 7,5 credits or equivalent. Proof of English proficiency is required.

Utbildningsnivå: Avancerad nivå
Kurskod/Ladokkod: TEDS22
Kursen ges vid: Tekniska Högskolan

Kommande kurstillfällen

Kurstillfället är inställt

Typ av Kurs
Programkurs
Studieform
Campus
Termin
Våren 2022: vecka 13 - vecka 22
Studietakt
100%
Undervisningsspråk
Engelska
Ort
Jönköping
Kurstid
Dag
Kursansvarig
Patrick Gabrielsson
Examinator
Patrick Gabrielsson
Gäller enbart studenter utanför EU/EES/Schweiz: Studieavgift
18750kr
Kursplan
HTML  PDF
Anmälningskod
HJ-T2121
Senast ändrad 2021-12-03 07:39:20