India · CBSE Learning Outcomes
Class 7 Mathematics
This course transitions students from basic arithmetic to abstract mathematical thinking. It emphasizes the structural properties of numbers, geometric relationships, and the foundational logic of algebraic expressions to solve real world problems.

The World of Integers
Exploration of the properties of positive and negative whole numbers and their application in representing real life scenarios like depth and debt.
Understanding how addition, subtraction, multiplication, and division behave when working with directed numbers.
Identifying and predicting outcomes of complex calculations using distributive and associative laws.

Fractions, Decimals, and Rational Logic
Deepening the understanding of parts of a whole and the relationship between fractional and decimal representations.
Moving beyond algorithms to understand what it means to take a fraction of a fraction.
Applying place value logic to multiply and divide decimals accurately in scientific and financial contexts.

Algebraic Expressions and Equations
Introducing the language of variables to model unknown quantities and solve linear relationships.
Translating verbal phrases into mathematical symbols and identifying the components of an expression.
Using the principle of balance to isolate variables and find solutions to one variable equations.

Geometry of Lines and Triangles
Investigating the properties of angles, parallel lines, and the structural integrity of triangles.
Analyzing the relationships between angles formed by intersecting and parallel lines.
Exploring the angle sum property and the criteria that make two triangles identical.

Comparing Quantities and Proportions
Applying ratios, percentages, and interest formulas to understand growth and comparison in daily life.
Using proportional reasoning to compare different sets of data and represent changes.
Calculating financial outcomes and understanding the time value of money through interest.

Data Handling and Probability
Collecting, organizing, and interpreting data to make informed predictions and decisions.
Understanding mean, median, and mode as different ways to describe a 'typical' value in a dataset.
Quantifying the likelihood of events and understanding the scale from impossible to certain.