Data Structure and Algorithm Part II

Dates: 29 May, 6 Jun, 10 Jun 2023 | 9am-5.30pm | Online

Duration: 3 Days

Course Overview

This module introduces students to the design and implementation of linear data structures and related algorithms. The module covers linear data structures (linked lists, stacks, queues), searching and sorting algorithms, and basic analysis of algorithms.

This module is part of Professional Certificate in Data Structures and Algorithms.

Course Objectives

This course will equip learners with the following skills and knowledge:

  • Self-Balanced BST ADT
  • Heap & Priority Queue ADT
  • Hash Table ADT
  • Graph Introduction and basic representations
  • Advanced Graph I
  • Advanced Graph II

Who Should Attend

Data / AI / System / Software Engineers


Have knowledge of:

  • Algorithm Analysis Complexity
  • Recursion
  • Advanced Sorting & Searching
  • Abstract Data Type, List ADT, Linked List & Variations
  • Stack ADT and Queue ADT
  • Tree, Binary Tree, BST ADT
  • Basic programme background

Course Convener

(Click their photos to view their short biographies)

ccccc Soo Yuen Jien

Assoc Prof Soo Yuen JienAssoc Prof Soo Yuen Jien

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email

To register, click Register

Course Codes:
TGS-2022012337 (Classroom Learning)
TGS-2022012338 (Synchronous e-learning)

For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Strategic Tech Mgt Institute (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.

Course Fee Breakdown


Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants