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Course Description

Mathematicians often say that the essence of Mathematics lies in the beauty of numbers, figures and relations, and there is truth in that. … Together with the experimental method, Mathematics forms the conceptual scheme on which modern science is based and which supports the technology. The ICSE-9 mathematics curriculum has been taken & interpreted by KVERSITY mathematicians in the most lucid manner for the complete understanding of the student.

Technology and mathematics are central parts of scientific research and investigations from start to finish. Computers can be used to collect raw data in a process called data logging. This is where you connect sensors to a computer, and the data that that sensor collects is put straight into that computer, often going directly into plotting a graph. But you can also collect data using specialized technology and equipment like microscopes, telescopes, and simpler devices like stopwatches.

Computers can also be used to analyze data once it’s collected. Some experiments require months of analysis. For example, the rovers on Mars or particle accelerators like the Large Hadron Collider might collect so much data in a few days that it takes months to analyze. Computers make the process quicker and practical in the first place. Gone are the days where scientists would sit with a pen and paper doing calculations for whole years of their lives.

Mathematics is also vital to scientific research. Mathematics is involved from the most basic levels, like finding averages of all the trials of an experiment, to highly complex algebra, like figuring out the laws of physics to explain how the universe is expanding.


Ch-1: GST [Goods & Service Tax]; Ch-2: Banking [Recurring Deposit Accounts]: Ch-3: Shares & Dividends
Ch-4: Linear Inequations [in one variable]: Ch-5: Quadratic Equations; Ch-6: Solving (simple) Problems [Based on Quadratic Equations]; Ch-7: Ratio & Proportion [ Including Properties & User]; Ch-8: Reminder & factor Theorems; Ch-9: Matrices; Ch-10: Arithmetic Progression; Ch-11: Geometric Progression
Ch-12: Reflection [In x-axis, y-axis, x=a, y= a and the origin; Invariant Points]; Ch-13: Section & Mid-point Formula; Ch-14: Equation of a Line
Ch-15: Similarity [with applications in maps & models]; Ch-16: Loci [Locus & Constructions]; Ch-17: Circles; Ch-18: Tangents and Interesting Chords; Ch-19: Constructions (Circles)
Ch-20: Cylinder, Cone and Sphere [Surface Area and Volume]
Ch-21: Trigonometric Identities [ including Trigonometric Ratios of Complementary Angles and Use of Four Figures Trigonometrical tables] Ch-22: Heights and Distances
Ch-23: Graphical Representation [Histograms & Ogives]; Ch-24: Measures of Central tendency [Mean, Median, Quartiles and Moe]; Ch-25: Probability

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