Class 11 Computer Science

Course outline

FLPs

Chapter 1: Introduction To Software Development

• 0.1: Introduction To Software Development
• 1.1 Software Development
• 1.2 Introduction to Software Development Life Cycle
• 1.2.2 Stages involved in SDLC
• 1.3 Software Development Methodologies
• 1.3.1 Introduction to Software Process Models
• 1.4 Project Planning and Management
• 1.5 Unified Modeling Language (UML) Diagrams
• 1.6 Software Design Patterns
• 1.7 Debugging and Testing Strategies
• 1.8 Software Development Tools

Chapter 2: Python Programming

• Introduction to Python Programming
• Python Environment and Syntax
• Variables, Data Types, and I/O
• Operators and Expressions
• Functions and Modules
• Data Structures (Lists and Tuples)
• Object-Oriented Programming (OOP)
• Exception and File Handling
• Testing and Debugging
• Python Installation and Basic Programming

Chapter 3: Algorithms and Problem Solving

• Understanding Computational Problems
• Algorithms for Problem Solving
• Problem Solvability and Complexity
• Complexity Classes (P, NP, NP-hard, NP-complete)
• Algorithm Analysis
• Algorithm Design Techniques
• Backtracking
• Commonly Used Algorithms

Chapter 4: Computational Structures

• Lists
• Stacks
• Queues
• Trees
• Graphs
• Mixed MCQs

Chapter 5: Data Analytics

• Measures of Central Tendency
• Measures of Dispersion
• Introduction to Probability
• Data Collection and Preparation
• Data Cleaning and Transformation
• Handling Missing Data
• Building Statistical Models

Chapter 6: Emerging Technologies

• Emerging Technologies
• Cloud Computing
• Blockchain Technology
• Edge Computing & Serverless

Chapter 7: Legal and Ethical Aspects of Computing System

• Legal and Ethical Aspects of Computing System
• Understanding Terms of Use
• Importance
• Ethical Considerations
• Personal Rights
• Privacy and Security Threats
• Types of Security Threats
• Security Threat Prevention Techniques
• The Digital Divide and Its Impacts
• Causes of the Digital Divide
• Impacts of the Digital Divide
• Bridging the Digital Divide

Chapter 8: Online Research And Digital Literacy

• Introduction & Importance
• Types of Online Research
• Digital Literacy
• Key Components of Digital Literacy
• Utilizing Digital Resources
• Effective Navigation and Managing Digital Information
• Research Ethics
• Understanding Intellectual Property

Chapter 9: Entrepreneurship In Digital Age

• Entrepreneurship In Digital Age

Frequently asked questions

How long do I have access to this course?

You get 1 year of access from the day your payment is approved. You can renew from your dashboard before or after it ends, and your progress is always kept.

Is this course updated for the latest exam pattern?

Yes. Class 11 Computer Science is regularly updated to reflect the most recent exam patterns, syllabus changes, and question trends.

Can I access the course on my phone?

Absolutely. The platform is fully responsive and works seamlessly on mobile, tablet, and desktop. Study anywhere, anytime.

What if I get stuck on a topic?

Ask a mentor anything about your prep: topics, strategy, motivation. Reply within 24 hours. Included with every paid course. Course questions? WhatsApp us, 10 am to 6 pm.

How is this different from free YouTube prep?

Unlike passive video watching, Tabir Academy uses the Concept Builder to teach each concept, then tests and re-tests you on it with explained practice, mastery levels and progress tracking. Research shows active recall is 3-5x more effective than passive learning.

Is Rs. 1,500 a one-time payment?

Yes, it's a single one-time payment for 1 year of access. No hidden fees and no recurring charges.