O-Level Computing Revision Checklist: Topic-by-Topic Guide

A comprehensive revision checklist ensures you cover all topics for O-Level Computing (Syllabus 7155). Use this topic-by-topic guide to track your revision progress and ensure thorough preparation.

How to Use This Checklist

Usage Guidelines:

Check off topics as you revise
Focus on weak areas
Review regularly
Track progress
Ensure completeness

Revision Strategy:

Start with weak topics
Review strong topics regularly
Practice all topics
Focus on exam-relevant areas

Paper 1 Topics Checklist

1. Logic and Boolean Algebra

Topics to Cover:

Boolean operators (AND, OR, NOT)
Truth tables
Logic gates
Boolean expressions
Simplifying boolean expressions
Logic circuit design

Practice Areas:

Complete truth tables
Evaluate boolean expressions
Simplify expressions
Design logic circuits

2. Algorithms

Topics to Cover:

Pseudocode syntax
Flowchart symbols
Algorithm design
Algorithm tracing
Algorithm efficiency
Problem-solving with algorithms

Practice Areas:

Write pseudocode
Draw flowcharts
Trace algorithms
Design algorithms
Analyze efficiency

3. Data Representation

Topics to Cover:

Binary number system
Hexadecimal number system
Number system conversions
Binary arithmetic
Data types
Character encoding (ASCII, Unicode)

Practice Areas:

Convert between number systems
Perform binary arithmetic
Calculate storage requirements
Interpret character encodings

4. Data Analysis Concepts

Topics to Cover:

Data processing concepts
Statistical measures
Data visualization principles
Spreadsheet function concepts
Data interpretation

Practice Areas:

Explain data processing
Identify statistical measures
Describe visualization techniques
Explain function logic

5. Networking

Topics to Cover:

Network topologies
Network protocols (HTTP, HTTPS, TCP/IP)
Network security
Internet technologies
Network types

Practice Areas:

Identify network topologies
Explain protocol functions
Describe security measures
Compare network types

Paper 2 Topics Checklist

1. JupyterLab Proficiency

Skills to Master:

Navigating interface
Creating and managing cells
Running code cells
Using markdown cells
Managing files

Practice Areas:

Interface navigation
Cell operations
File management
Tool proficiency

2. Spreadsheet Operations

Skills to Master:

Basic calculations (SUM, AVERAGE, COUNT)
Statistical functions (STDEV, MIN, MAX)
Logical functions (IF, AND, OR)
Lookup functions (VLOOKUP, HLOOKUP)
Data manipulation
Chart creation

Practice Areas:

Function usage
Data analysis
Chart creation
Data interpretation

3. Python Programming

Skills to Master:

Variables and data types
Control structures (if/else, loops)
Functions and parameters
Lists and dictionaries
File operations
Error handling

Practice Areas:

Basic programming
Data structures
File operations
Error handling

4. Verification and Testing

Skills to Master:

Testing with sample data
Checking edge cases
Validating outputs
Comparing with expected results
Debugging techniques

Practice Areas:

Test case creation
Output validation
Error identification
Solution verification

General Revision Checklist

Study Materials

Materials to Prepare:

Syllabus document
Past year papers
Practice papers
Notes and summaries
Formula sheets
Concept diagrams

Practice Schedule

Practice Activities:

Daily pen-and-paper practice
Regular JupyterLab practice
Weekly past paper practice
Topic-specific practice
Timed practice sessions
Exam simulation

Exam Preparation

Preparation Tasks:

Understand exam format
Practice time management
Develop exam strategies
Build exam confidence
Prepare exam materials
Plan exam day

Priority Topics

High Priority (Focus More Time)

Paper 1:

Algorithms (pseudocode, flowcharts)
Logic and Boolean algebra
Data representation

Paper 2:

Python programming
Spreadsheet operations
JupyterLab proficiency

Medium Priority (Regular Review)

Paper 1:

Data analysis concepts
Networking

Paper 2:

Verification techniques

Revision Schedule

12 Weeks Before Exam

Weeks 1-4: Foundation revision (all topics)
Weeks 5-8: Focused practice (weak areas)
Weeks 9-12: Final revision (all topics, exam practice)

Daily Revision

Morning: Review one topic (30-45 minutes)
Afternoon: Practice questions (30-45 minutes)
Evening: Quick review (15-30 minutes)

Tracking Progress

Weekly Review

Review Elements:

Topics covered
Practice completed
Weak areas identified
Progress made
Next week plan

Monthly Assessment

Assessment Elements:

Overall progress
Weak areas status
Practice completion
Readiness level

Common Weak Areas

Areas Needing Extra Attention

Common Weak Areas:

Algorithm design
Boolean logic
Number system conversions
Python programming
Spreadsheet functions

Improvement Strategy:

Extra practice on weak areas
Seek help if needed
Regular weak area review
Track improvement

How We Help at Atlas Academy

At Atlas Academy in Bukit Timah, Singapore, we support comprehensive revision:

Our Support:

Structured Revision - Systematic topic coverage
Practice Opportunities - Regular practice sessions
Weak Area Focus - Targeted improvement
Progress Tracking - Regular assessment
Exam Preparation - Comprehensive readiness

Benefits:

Complete topic coverage
Regular practice
Individual support
Progress tracking
Exam readiness

Frequently Asked Questions

How do I use this checklist effectively?

Check off topics as you revise, focus on weak areas, review regularly, and ensure all topics are covered.

Should I revise topics in order?

Start with weak topics, but ensure all topics receive attention. Balance weak area focus with comprehensive coverage.

How often should I review this checklist?

Review weekly to track progress and adjust revision focus based on your needs.

What if I'm weak in many areas?

Prioritize high-weightage topics, seek help, and allocate more time to weak areas while maintaining overall coverage.

Can I skip topics I'm strong in?

Don't skip entirely, but spend less time on strong topics and more on weak areas. Regular review of strong topics maintains knowledge.

Conclusion

This comprehensive revision checklist helps ensure thorough preparation for O-Level Computing (Syllabus 7155). Use it to track progress, focus on weak areas, and ensure complete topic coverage. With systematic revision and regular practice, you can achieve success in your O-Level Computing exam.

Remember, thorough revision requires time, consistency, and effective strategies. Use this checklist to guide your revision and ensure you're well-prepared for your exam.

For expert guidance and structured revision support, consider joining our classes at Atlas Academy in Bukit Timah, Singapore.

Need help with revision? Contact us to learn more about our revision support and classes.

Study Resources