Grades 6–9 | 300 Classes | 15 Levels Goal: Develop logical thinkers → problem solvers → young software creators
Program Learning Philosophy
Every level develops three layers:
- Concept Mastery – Understanding how technology works
- Application – Building real programs/projects
- Computational Thinking
o Decomposition
o Pattern recognition
o Abstraction
o Algorithm design
Each class follows:
- Concept Hook
- Coding
- Challenge/Game
- Guided Coding
- Build Task
- Debug & Reflection
Monthly:
- Coding contests
- Mini hackathons
- Project reviews
Level-wise Deep Curriculum
Level 1: Computational Thinking & Problem Solving (Classes
What Students Learn Deeply
- How computers “think”
- Writing step-by-step algorithms
- Flowcharts & pseudocode
- Pattern identification
- Logical decision trees
- Binary (conceptual)
Games - Algorithm race
- Logic puzzle battles
Outcome: Students learn to think like programmers before coding.
Level 2: Python Foundations (Classes 21–40)
Deep Knowledge
How programs store data in memory
Data types and type behavior
Input/output interaction design
Decision logic (real-life conditions)
Error types and debugging basics
Projects
Interactive quiz
Number guessing game
Outcome: Students understand program–user interaction.
Level 3: Control Structures & Functions (Classes 41–60
Deep Knowledge
Iteration logic (efficiency thinking)
Nested conditions
Modular programming (functions)
Parameters and return values
Debugging strategies
Projects
Calculator system
Menu-based programs
Outcome: Structured, reusable coding mindset.
Level 4: Python Data Structures (Classes 61–80)
Deep Knowledge
Lists as dynamic memory structures
Dictionaries as key-value systems
Data manipulation and searching
String processing for real data
Project
Student database system
Outcome: Handling structured data like real applications.
Level 5: File Handling & Program Architecture (Classes 81–100)
Deep Knowledge
Persistent data storage
File read/write operations
Program structure and modules
User-driven applications
Projects
Contact manager
Text-based game
Outcome: Understanding how real software stores and manages data.
Level 6: Web Development – HTML (Classes 101–120)
Deep Knowledge
Internet architecture (browser–server model)
HTML structure & semantic design
Forms and user input on web
Accessibility basics
Project
Personal portfolio website
Level 7: CSS & Responsive Design (Classes 121–140)
Deep Knowledge
Layout systems (Flexbox)
Responsive design logic
User experience (UX) basics
Visual hierarchy
Outcome: Professional-looking websites.
Level 8: Web Interactivity (Intro JavaScript Concepts)
Deep Knowledge
Event-driven programming concept
Input validation logic
Interactive UI behavior
Project
Interactive form-based website
Level 9: Java Foundations (Classes 161–180)
Deep Knowledge
Compiled vs interpreted languages
Strong typing concept
Java syntax & memory behavior
Object-oriented basics
Level 10: Object-Oriented Programming (Classes 181–200)
Deep Knowledge
Classes & objects design
Encapsulation
Inheritance (conceptual)
Exception handling
Program structuring
Project
Library/Student management system
Outcome: Thinking like a software developer.
Level 11: Data Structures & Algorithms (Classes 201–220)
Deep Knowledge
Arrays vs dynamic structures
Stack & Queue applications
Searching and sorting logic
Introduction to efficiency (Big-O conceptually)
Level 12: Advanced Problem Solving
Deep Knowledge
Pattern-based algorithm thinking
Optimization strategies
Competitive coding problems
Games
Weekly coding contests
Leaderboards
Level 13: Python Applications & Automation
Projects
File organizer
Data analyzer
Simple graphical game
Level 14: AI & Data Foundations
Deep Knowledge
What is AI & Machine Learning
Data and pattern recognition
Basic model concept (no heavy math)
Bias and AI ethics
Level 15: Capstone & Portfolio (Classes 281–300)
Final Deliverables
Major project (Website / App / Software / AI tool)
Documentation
Presentation
Personal coding portfolio
Elite Program Outcomes
Students will:
Code confidently in Python & Java
Build websites and applications
Understand Data Structures & Algorithms
Gain AI foundation
Develop engineering-level problem solving
Create a professional portfolio
Why This Is High-End (Parent Positioning)
✔ 300 structured classes
✔ Multi-language mastery
✔ Real-world projects
✔ Hackathons & competitions
✔ AI exposure
✔ Portfolio for future opportunities
Certification: Orbis Academy Elite Certificate in Software Engineering & Technology (300 Classes)
LEVEL-WISE CLASS & TOPIC ANALYSIS
Level 1: Computational Thinking (Classes 1–20)
Class Breakdown
1–4: Algorithms & step sequencing
5–8: Flowcharts & decision trees
9–12: Decomposition & pattern recognition
13–16: Abstraction & problem modeling
17–18: Binary & logic basics 19: Assessment
20: Logic project
Outcome: Programming mindset
Level 2: Python Basics (21–40)
Class Breakdown
21–24: Python setup, syntax, print
25–28: Variables & data types
29–32: Input/output programs
33–36: Conditions (if/else)
37–38: Nested conditions 39: Assessment
40: Interactive program project
Outcome: User-interactive programs
Level 3: Loops & Functions (41–60)
Class Breakdown
41–44: For loops
45–48: While loops
49–52: Nested loops
53–56: Functions & parameters
57–58: Return values & modular design
59: Assessment
60: Calculator/Quiz project
Level 4: Python Data Structures (61–80)
Class Breakdown
61–64: Lists operations
65–68: List algorithms (search, sort basics)
69–72: Dictionaries
73–76: String processing 77–78: Data handling problems
79: Assessment
80: Data manager project
Level 5: Files & Program Design (81–100)
Class Breakdown
81–84: File reading
85–88: File writing
89–92: Error handling basics
93–96: Program architecture (modules)
97–98: Menu-driven systems
99: Assessment 100: Contact manager project
Level 6: HTML (101–120)
Class Breakdown
101–104: Web basics & structure
105–108: Text, images, links
109–112: Lists, tables
113–116: Forms & inputs
117–118: Multi-page sites
119: Assessment
120: Personal website
Level 7: CSS (121–140)
Class Breakdown
121–124: CSS basics & selectors
125–128: Colors, fonts, spacing
129–132: Box model
133–136: Flexbox layouts
137–138: Responsive design
139: Assessment
140: Styled portfolio
Level 8: Web Interactivity (141–160)
Class Breakdown
141–144: JavaScript basics (logic concepts)
145–148: Events & user interaction
149–152: Form validation
153–156: DOM manipulation (basic)
157–158: Interactive features
159: Assessment
160: Interactive website
Level 9: Java Foundations (161–180)
Class Breakdown
161–164: Java setup & syntax
165–168: Variables & operators
169–172: Conditions
173–176: Loops
177–178: Methods
179: Assessment
180: Console app
Level 10: OOP in Java (181–200)
Class Breakdown
181–184: Classes & objects
185–188: Constructors
189–192: Inheritance
193–196: Exception handling
197–198: File handling
199: Assessment
200: Management system project
Level 11: Data Structures (201–220)
Class Breakdown
201–204: Arrays & ArrayLists
205–208: Stack
209–212: Queue
213–216: Searching algorithms
217–218: Sorting algorithms
219: Assessment
220: Algorithm project
Level 12: Problem Solving & Competitive Coding (221–240)
Class Breakdown
Pattern problems
Optimization thinking
Time-based challenges
Coding contests
Hackathon (Class 240)
Level 13: Python Applications (241–260)
Projects:
File organizer
Data analyzer
Mini game
Class Breakdown
Data concepts
Pattern recognition
Model idea (classification)
Visualization
Ethics
AI mini-project
