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CS2 Course

Data Structures and Algorithms
  • Requires a pass in CS1, OR a Silver Medal at NOI 2023.

  • 3 months course, video with 8 Lesson Units

  • Suits for Grades 7-12 (NZ Years 8-13)

Course includes free video training by NUS professors
Registration Deadline
  • Registration Deadline: 13 May 2024

CS2 in-person Online Final Contest
  • Final Contest Date: 11 August 2024

  • Final Contest time:

6 pm - 11 pm (NZ time)

1 pm - 6 pm (Singapore/ Beijing/ Perth time)

4 pm  - 9 pm (Sydney time)

Course Details

CS2 is CS2040 in disguise

This course introduces students to the design and implementation of fundamental data structures and algorithms

The course covers:
• basic data structures (linked lists, stacks, queues, binary heaps, hash tables, binary search

trees, and graphs)
• searching and sorting algorithms
• basic analysis of algorithms
• very basic object-oriented programming concepts (more details of OOP are in CS2030) • The programming language used for this course is Java

The fee for enrolling CS2 course: NZ $749


Name of Account: Pinnacle Education Group

Account: 06-0241-0684634-00


Please make payment with the students 'full name + CS2 ' as reference.

⚠️ Please note that any fees and payments made are non-refundable.

⚠️ Before you make any payment, read through the refund policy on our website to avoid misunderstandings.

(Terms and conditions apply).

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Lesson Plan

• Lessons are based on video lectures
• Video recordings will be uploaded twice a week
• Students can view recordings on their own time, even if on holiday

Please note: If you registered after the deadline (13 May), the fees will be doubled.

PGA reserves the right to interpret all competition and course arrangements.

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CS2 Final Contest Awards

  • For reference only. CS medals are being designed now.

  • CS medals will be from NUS CeNCE (National University of Singapore Centre For Nurturing Computing Excellence).


Computational Thinking

• Similar to Mathematical Thinking
• Quantification via numbers / structures / representations
• Applied towards Modelling and Computation
• Generally categorised by the following skills:
Abstraction: generalising data into representations and structures
Algorithmic Thinking: defining process knowledge specifically (primary focus)

Decomposition: dividing a problem into sub-problems
Pattern Recognition: generalising relationships (modelling)

Problem Solving

• General process for finding solutions
• Pólya's Problem-Solving Process (4 steps)

 1. Understand the problem: define all the relevant information
2. Devise a plan: attempt using methods that you know
3. Carry out the plan: execute the devised plan and try again if it fails

 4. Look back: reflect on what worked and what did not

Default plan: Brute-force Search (i.e. Automated Guess and Check)

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