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Course Overview

This subject provides coverage of the knowledge of concepts and skills in the tools and processes used in data analytics of large amounts of engineering data. It encompasses the various stages of data analytics, from gathering the data, asking the right questions, to analyzing and interpreting data, identifying patterns and trends and making use of machine learning and predictive models to make intelligent and actionable recommendations for improvement in engineering systems, such as, optimization of energy usage and improvements to manufacturing processes.

 

Knowledge of basic statistical inference and regression analysis is assumed.

 

Objectives

Students will be able to:

  • Apply the processes needed to perform analysis on engineering data which includes the processes to obtain and clean the data, basic machine learning and algorithms to yield actionable insights and inferences that will lead to a better understanding of and possible improvements in engineering systems.

  • Present results in the form of visualization analysis.

Entry Requirements

Applicants applying for modular courses which are drawn from existing full diploma or post-diploma programmes will have the same minimum entry requirements as the full qualifications.

 

To find out the minimum entry requirements specific to this modular course, please click here.

What You'll Learn

  • Data Analytics Toolbox

  • Data Gathering

  • Data Analysis and Visualization

  • Regression and Predictive Analytics

  • Machine Learning Models and Algorithms

 

Modes of Assessment

 

  • Class participation
  • Class tests
  • Assignments
  • Projects

 

Certification

 

Upon successful completion of the modular unit, students will be awarded a Statement of Result which can count towards the attainment of the Specialist Diploma in Industrial Internet of Things.

 

Course Schedule / Apply

Intake Info Application Period Course Duration

18 October 2021

03 May - 19 July 2021

7pm - 10pm
(weekday)
Once a week 

APPLY

Steps to follow in your application:

 

Step 1 - Enter NRIC/ Passport No.

Step 2 - Select UEJ – Modular - Industrial Internet of Things and course commencement date.

Step 3 - Enter personal, qualification, employment and sponsoring details (if applicable).

Step 4 - Select, rank your preference for the selected subject(s) and indicate the number of subject(s) you wish to take. Please note that the subject start date(s) denotes the semester start date.

Step 5 - Make declaration and submit online application.

Course Fees

Fee Type Total Fees (w GST)
SME-employed Singapore Citizens & Permanent Residents S$126.18
Singapore Citizens aged 40 & above
S$121.98 

Singapore Citizens aged below 40

S$186.18
Singapore Permanent Residents  S$1,239.06
Others & Repeat Students S$1,239.06

SkillsFuture Credit Approved. For more details, please click here.  

With effect from 1 Jul 2020, the Workforce Training Scheme (WTS) will be replaced by Work Support Scheme (WSS), for more information, please visit:

https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html

Course Contact

  • 67881212
  • 8.30am – 6.00pm (Mon – Thu)

    8.30am – 5.30pm (Fri)

    Closed on Sat, Sun & Public Holidays

    Due to Safe Management Measures, our office is currently closed.

    Please call or email us your enquiry.

    Thank you for your patience and understanding.

  • Website: https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy
    Temasek Polytechnic
    East Wing Block 1A, 
    Level 3, Unit 81
    21 Tampines Ave 1
    Singapore 529757

  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.

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