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Objectives

This module aims to equip students with different statistical pattern recognition (SPR) techniques and analysis of data for Internet of Things (IoT) applications. Upon successful completion of the module, students will acquire knowledge on various SPR algorithms and probabilistic estimation approaches for simple distributions in IoT applications. They will also acquire skill and hands on experience in coding basic probabilistic classification algorithms from scratch.

Who Should Attend

Data Analyst, Data Engineer, Business Intelligence Manager, Senior Data Engineer, Data Scientist, Information Architect, Senior Data Scientist, Business Intelligence Director, Chief Data Scientist.

Entry Requirements

Relevant Bachelor's Degree in electrical/electronics/communications/computer engineering, computer science, and related disciplines. Knowledge in probability, statistics, linear algebra and basic programming (matlab or python).

Class Schedule

Thursday (6.00 PM - 9.00 PM)

Tutorial Schedule

Same Day as Lecture

Lesson Delivery

1. Facilitated Learning - 18 hours; 2. Assessment - 2 hours..

Full Fees (before GST)

S$2900.00

Nett Fees payable after SSG Funding

	International Participant	Singapore Citizen 39 years old or younger	Singapore Citizen 40 years or older eligible for MCES	Singaporean PRs	Enhanced Training Support for SMEs
Full Programme Fee	S$2900.00	S$2900.00	S$2900.00	S$2900.00	S$2900.00
SSG Funding * Eligible for Claim Period 1 Oct 2024 to 30 Sep 2027	-	S$2030.00	S$2030.00	S$2030.00	S$2030.00
Nett Programme Fee	S$2900.00	S$870.00	S$870.00	S$870.00	S$870.00
9% GST on Nett Programme Fee	S$261.00	S$78.30	S$78.30	S$78.30	S$78.30
Total Nett Programme Fee Payable, Incl. GST	S$3161.00	S$948.30	S$948.30	S$948.30	S$948.30
Less Additional Funding if Eligible Under Various Scheme	-	-	S$580.00	-	S$580.00
Total Nett Programme Fee, Incl. GST, after additional funding from the various funding schemes	S$3161.00	S$948.30	S$368.30	S$948.30	S$368.30

Learners must pass all assessment components to be eligible for SSG funding. Please note that all external funding for courses is limited in duration and subject to availability.

Please note that the mode of delivery is subject to change in light of the COVID-19 situation. Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.