NUS-ISS Certificate in Digital Solutions Development – Mobility Applications

Overview

In this module, you will learn how to develop system of insights using Python with machine learning as well as native mobile apps using the Android Development Platform.

Enquiry

Please contact Ms. Sherlyn LIM at tel: 65165777 or email for more details.

Facts

Class Time: 9am - 5pm

Course Details

  • Key Takeaways
  • Who Should Attend
  • What Will Be Covered
  • Fees & Funding
  • Preparing for Your Course
At the end of the course, participants will be able to:
  • Develop server-side application with machine learning capability with Python
  • Publish server-side functionality as REST API with Python
  • Understand popular machine learning models such as k-nearest neighbors, random forest, logistic regression, k-means, naïve Bayes and artificial neural network
  • Build and evaluate performance of machine learning models using Python
  • Understand Android programming framework
  • Develop and package Android application using Android Studio
  • Store application data in Android device
  • Integrate Android application with server-side functionality for full stack development

Certificate
Participants will be awarded with NUS-ISS Certificate in Digital Solutions Development - Mobility Applications at the end of the course.

This course is targeted at individuals who are interested in developing Mobile and Mobile Web-based solutions for enterprise environment.

Pre-requisites:
  • Preferably have some understanding of how IT solutions can be used in the real world
  • Completed the NICF-NUS-ISS Certificate in Digital Solutions Development - Foundations
  • Develop and deploy native mobile application using Android Studio
  • Android programming framework
  • Android persistence and database framework
  • Consume REST API from Android application
  • Develop and publish REST API using Python
  • Popular machine learning models such as k-nearest neighbors, random forest, logistic regression, k-means, naïve Bayes and artificial neural network
  • Develop and evaluate machine learning model
  • Data management using Python

Format
Lectures and workshop

Certificate of Completion
The ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course.

ISS reserves the right not to disclose any information on the course assessment process.

Participants are required to pass the assessment in one sitting and achieve an overall of 65% for workshop and examination if they wish to take the NUS Graduate Diploma in Systems Analysis - Capstone & Internship, to be awarded the NUS Graduate Diploma in Systems Analysis.

Self-sponsored

International Participants

S'poreans and PRs 
(aged 21 and above)

SkillsFuture Mid-Career Enhanced Subsidy1 
(S’poreans aged 40 and above)

Workfare Training Support2
(S’poreans aged 35 and above, and earn ≤ $2,000 per month)

Full course fee

S$10,000

S$10,000

S$10,000

S$10,000

SSG grant

-

(S$7,000)

(S$7,000)

(S$7,000)

Nett course fee

S$10,000

S$3000

S$3000

S$3000

7% GST on nett course fee

S$700

S$210

S$210

S$210

Total nett course fee payable, including GST *

S$10,700

S$3210

S$3210

S$3210

Less additional funding if eligible under various schemes

-

-

(S$2000)

(S$2500)

Total nett course fee payable, including GST, after additional funding from the various funding schemes *

S$10,700

S$3210

S$1210

S$710


Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees, apart from government subsidies. For more information, click here.

Company-sponsored

International Participants

S'poreans and PRs 
(aged 21 and above)

SkillsFuture Mid-Career Enhanced Subsidy1 
(S’poreans aged 40 and above)

Workfare Training Support2
(S’poreans aged 35 and above, and earn ≤ $2,000 per month)

Enhanced Training Support for SMEs3

Notes

Full course fee

S$10,000

S$10,000

S$10,000

S$10,000

S$10,000

SSG grant

-

(S$7000)

(S$7000)

(S$7000)

(S$7000)

Nett course fee

S$10,000

S$3000

S$3000

S$3000

S$3000

7% GST on nett course fee

S$700

S$210

S$210

S$210

S$210

Total nett course fee payable, including GST *

S$10,700

S$3210

S$3210

S$3210

S$3210

Fee payable to NUS-ISS

Less additional funding if eligible under various schemes#
(company needs to submit training grant and claim via Skillsconnect)

-

-

(S$2000)

(S$2500)

(S$2000)

Total nett course fee payable, including GST, after additional funding from the various funding schemes

-

-

S$1210

S$710

S$1210

Actual financial outlay by company


*S
tudent Service Fees

Apart from course fees, participants will have to pay a Student Service Fee of S$25.23 for every regular semester.


Various Funding Schemes

1Mid-Career Enhanced Subsidy

  • Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.


2
Workfare Training Support (WTS)

  • Singaporeans aged 35 and above (13 years and above for Persons With Disabilities) and earn not more than $2,000 per month, may enjoy subsidies up to 95% of the course fees.


3
Enhanced Training Support for SMEs (ETSS)

  • SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the course fees. For more details, click on Enhanced Training Support for SMEs.


Course attendee is eligible for only one funding scheme.

#For company-sponsored participants, companies would need to pay upfront 30% of the course fee to NUS-ISS and submit a training grant application for the remaining eligible subsidies, and subsequently a claim in Skillsconnect. For details, please refer to Skillsconnect guide 4.1 & 5.1.

This course is aligned to the National Infocomm Competency Framework (NICF) and accredited by SSG. Absentee payroll and up to 70% SSG funding of the course fee is available for eligible participants (Singapore Citizens and Permanent Residents). Absentee payroll subsidy is available for eligible companies and companies on a short work week system will receive the absentee payroll subsidy based on their employees' current income. Please visit www.ssg.gov.sg for full details.

ISS and Learner’s Commitment and Responsibilities

Find out more.

WIFI Access

WIFI access will be made available. User ID and password will be provided in the participant’s kit.

Venue

Institute of Systems Science, NUS
25 Heng Mui Keng Terrace
Singapore 119615 

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to isslearn@nus.edu.sg or call 6516 2093 if you have any enquiry or feedback.

Course Resources

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