Data Science for Internet of Things

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SYNOPSIS

Course Objectives:

• To acquire knowledge on the fundamentals of IoT systems and their hardware and software requirements.

• To acquire knowledge on the fundamentals of data science including Bayesian statistics, supervised and unsupervised machine learning.

• To acquire skill and hands on experience in deploying data science algorithms on real-world data for IoT applications.

Course Content:

This module covers data science for the Internet of Things. The topics include data science fundamentals such as Bayesian statisitcs, classification, supervised learning, unsupervised learning, and deep learning. The module will also cover several basic machine learning algorithms such as decision trees, logistic regression, support vector machines, and neural networks. Students will visualize and analyze real-world data sets via practical IoT case studies.

Data Science for Internet of Things

Wednesday, 30 Nov 2022

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Venue

21 LOWER KENT RIDGE ROAD, 119077

Email Us
slebox29@nus.edu.sg

PROGRAMME

Programme
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