Key Takeaways
At the end of the course, learners will be able to:
● Model an applied problem as a pattern recognition task.
● Apply deep learnings of advanced pattern recognition to solve real world problems.
● Develop pattern recognition systems using case studies and workshops that are based on industry scenarios (e.g. building a robust diagnostic system for diabetes, detecting defects in a tunnel).
Structure
● Course duration: 10 weeks (online).
● Learners' time commitment: 3 to 4 hours per week.
● This course has 4 synchronous live sessions - group activities, discussions, feedback and interactions.
● Throughout the course, learners are expected to actively contribute to the group activities and are encouraged to apply the knowledge learnt.
Live Sessions
Learners are required to attend the mandatory Live Sessions scheduled (via Zoom) as part of the course requirement. This will help to reinforce learning with the cohort. Please see below for schedule for each class:
Class 1
November 2022 – January 2023
● Live Session 1: Tue, 8 Nov 2022, 2pm - 3 pm*
● Live Session 2: Thu, 24 Nov 2022, 2pm - 3 pm*
● Live Session 3: Fri, 16 Dec 2022, 2 - 3pm*
● Live Session 4: Mon, 19 Dec 2022, 10am - 11am *
● Live Session 5: Thu, 5 Jan 2023, 10am - 12 noon*
Class 2
January – March 2023
● Live Session 1: Thu, 12 Jan, 2023, 2pm - 3pm*
● Live Session 2: Fri, 3 Feb 2023, 2pm - 3pm*
● Live Session 3: Tue, 7 Feb 2023, 2pm - 3pm*
● Live Session 4: Mon, 20 Feb 2023, 10am -11am*
● Live Session 5: Thu, 9 Mar 2023, 10am - 12pm*
* All sessions are in Singapore Time (GMT+8).
Who Should Attend
This course is appropriate for:
● IT professionals who need to apply pattern recognition techniques for developing intelligent systems for varied applications, including machine vision, business analytics, etc.
● IT professionals who wish to obtain knowledge in pattern recognition to add more value and insights to their systems/solutions.
● Domain specialists and others who plan to undertake pattern recognition projects.
Fees And Funding
| Type of Learners |
Course Fee |
Total course fee payable, including GST |
| Learners residing in Singapore (SGD) |
SGD 1300 |
SGD 1391 |
| Learners residing outside Singapore (USD) |
USD 950 |
USD 950 |
Things to Note
● Learners are expected to set aside time for group activities beyond the live sessions.
● The NUS-ISS Certificate of Completion will be issued to learners who have met the course requirements successfully. This will include attending all synchronous Zoom sessions and completing the learning activities, workshops and assessments (where applicable).
● Read the terms and conditions of NUS-ISS Course Registration here.
● Read about NUS-ISS and Learner’s Commitment and Responsibilities here.
● All classes are subject to confirmation and NUS-ISS will send an acceptance email to learners one week prior to the commencement date.
● All responses to feedback and surveys conducted by NUS-ISS and its partners must be submitted by learners.
● All trainings and assessments will be delivered by NUS-ISS, as described in the course webpage.
● For general enquiries and feedback, please feel free to reach out to us via email at iss-blendedlearning@nus.edu.sg.