CBSE Class 12 Linear programming Syllabus 2020-2021

Central Board of Secondary Education introduced the Applied Mathematics subject for the CBSE Class 12 curriculum. The aim of the subject is to develop the Mathematics skills and enable students to apply the concepts of Applied Mathematics.

CBSE Class 12 Linear programming is a calculation of the best outcomes which is given under specific situations. The CBSE Class 12 Linear programming helps to develop the concepts of the Mathematical modelling and to build a strong base of concepts.

It is very important that you should understand the basic concepts of linear programming because it helps to calculate the best outcome of the events under specific conditions.

In this article, you will get to know the CBSE Class 12 Linear programming Syllabus and the Applied Mathematics probability Syllabus.

CBSE Class 12 Linear Programming Syllabus

Before starting the Preparation it is necessary that you should know the syllabus of the exam. Syllabus helps you to know what to study and what not to study. Syllabus gives direction to your Preparation.

CBSE Class 12 Linear programming Syllabus consists the topics such as Constraints, Mathematical formulation and the feasible regions and graphs.

The Syllabus of CBSE Class Linear programming are as follows

• Introduction and related terminologies (constraints, objective function, optimization)
• Mathematical formulation of linear programming problems
• Different types of linear programming problems (Transportation and
• assignment problem)
• Graphical method of solution for problems in two variables
• Feasible and infeasible regions (bounded and unbounded)
• Feasible and infeasible solutions, optimal feasible solutions (up to three non-trivial constraints)

The CBSE Class 12 Linear programming Syllabus is designed to test the adaptability of the students to solve the logics and to form Algorithms. This subject will help you to built your logical reasoning skills.

Preparation Strategy for CBSE Class 12 Linear programming

To score good marks in the CBSE Class 12 Linear programming required Perfect strategy and proper planning.

Here we have listed some tips which will definitely help you to score good marks in the exam.

• Consistent Practice of Numericals

Practicing numerical will help you to score maximum marks in the exam. Practice will increase your accuracy.

• Attempting Mock Test Series

Attempting Mock Test series is very important during your preparation. It will help you to build your confidence and helps you to know the level of the questions asked.

• Regular RevisionÂ

Revision is a re-visualization of the concepts which you have learned before. It is very important to do regular revision for scoring good marks in the exam.

• Making proper NotesÂ

Note Making is very important during your preparation. It will help you to quickly revise all the topics and help to retain it for a longer period of time.

CBSE Class 12 Applied Maths Probability Syllabus

The CBSE Class 12 Applied Mathematics Probability Syllabus is an advanced level study of the different concepts which are learned in the CBSE Class 11 Mathematics.

The CBSE Class 12 Applied Mathematics Syllabus consists of the following topics

• Probability Distribution
• Mathematical Expectation
• Variance
• Binomial Distribution
• Poisson distribution
• Normal distribution
• Basic applications and inferences

CBSE Class 12 Applied Maths Probability Weightage in Examination

Probability isÂ  one of the most important parts of the CBSE Class 12 Applied Mathematics Syllabus. Probability had a weightage of 10 marks out of total 80 marks.

Applied Mathematics is all about the application of the Mathematical concepts and various disciplines which consists of physics, biology and economics.

CBSE Class 12 Applied Maths Probability Notes

It is recommended that students should make proper notes of the formulas and theorems. You should make topic wise notes for the Applied Mathematics subject. Notes plays an very important role in the Revision. You can quickly revise all the concepts and formulas at the end.