Applied Mathematics
Class XII | SUBJECT CODE (840)
Special efforts has been made
in order to connect it’s application in various fields, so that, students who are opting for
Social Science based subjects or Commerce based subjects or skill based subjects at
senior secondary level can also fulfill their urge of learning mathematics joyfully.
Course Objective
a). To develop an understanding of basic mathematical and statistical tools and their
application in Science, Business, Finance, Economics, and other fields.
b). To develop logical reasoning skills and enhance problem-solving abilities.
b). To develop logical reasoning skills and enhance problem-solving abilities.
Course Features
Applied mathematics involves the application of mathematics to problems which arise in various areas, e.g., science, engineering or other diverse areas, and/or the development of new or improved methods to meet the challenges of new problems.
Instructor in Agriculture
“Applied Mathematics has been designed with an intention to orient the
students towards the mathematical tools relevant in life.”
- E-learning & Onsite classes
- A 'Workshop' class
- Industrial Visit
- Certificate of Completion
Course Content
Basics of Limits & continuity, differentiation of non-trigonometric functions,
Basic applications of derivatives in finding Marginal cost, Marginal Revenues
etc. Increasing and Decreasing Functions, Maxima / Minima.
Integration as reverse process of differentiation, integration of simple
algebraic functions.
Introduction of Matrices, Algebra of Matrices, Determinants of Square
matrices (Application only).
Number series, Coding, decoding and odd man out, direction tests, blood
relations, syllogism, Binary numbers, logical operations and truth table.
Calculating EMI, calculations of Returns, Compound annual growth rate
(CAGR), Stocks, Shares, Debenture, valuation of Bonds, GST, Concept of
Banking.
Introduction to probability of an event, Mutually exclusive events, conditional
probability, Law of Total probability.
Basic application of Probability Distribution (Binomial Distribution, Poisson
Distribution and Normal Distribution).
Slope of a line, equation of a line in point slope form, slope intercept form
and two point form.
Introduction, related terminology such as constraints, objective function,
optimization, different types of LP, mathematical formulation of LP problem,
graphical method of solution for problems in two variables.
a. Index numbers: meaning and uses of index number, construction of
index numbers, construction of consumer price indices.
b. Time series & trend analysis: Component of time series, additive models, Finding trends by moving the average method.
b. Time series & trend analysis: Component of time series, additive models, Finding trends by moving the average method.
