MAT301 / Mathematics

Syllabus

Resources

M1: Basic Statistics

Measures of Central Tendency

  • Mean, Median, Mode

Moments, Skewness, and Kurtosis

  • Calculation of moments

  • Skewness and its interpretation

  • Kurtosis and its interpretation

Correlation and Regression

  • Pearson's correlation coefficient

  • Simple linear regression

  • Multiple regression

Rank Correlation

  • Spearman’s rank correlation

Curve Fitting

  • Method of least squares

  • Fitting of straight lines

  • Fitting of second degree parabolas

  • Fitting of more general curves

M2: Basic Probability & Expectation

Discrete and Continuous Random Variables

  • Properties of discrete random variables

  • Properties of continuous random variables

Dependent and Independent Random Variables

  • Concept of dependence and independence

Probability Spaces

  • Sample spaces and events

  • Axioms of probability

Conditional Probability

  • Definition and applications

Sums of Independent Random Variables

  • Distribution of sums

Expectation of Discrete Random Variables

  • Expected value and its properties

Probability Distributions for Discrete and Continuous Variables

  • Discrete distributions:

  • Continuous distributions:

  • Evaluation of Statistical Parameters

M3: Test of significance for Small and large samples

Large Sample Tests

  • Test for a single proportion

  • Test for difference of proportions

  • Test for a single mean

  • Test for difference of means

  • Test for difference of standard deviations

Small Sample Tests

  • Test for single mean

  • Test for difference of means

  • Test for correlation coefficients

  • Test for ratio of variances

Chi-Square Test

  • Goodness of fit

  • Test for independence of attributes

M4: Numerical Methods for Solutions of Equations
  • Solution of Simultaneous Linear Equations -- Jacobi’s method -- Gauss-Seidel method

  • Solution of Algebraic and Transcendental Equations -- Bisection method -- Newton-Raphson method -- Regula-Falsi method

  • Interpolation Methods -- Interpolation using finite differences -- Relation between operators -- Newton’s forward and backward difference formula -- Interpolation for unequal intervals: ---- Newton’s divided difference formula ---- Lagrange’s interpolation formula

M5: Numerical Methods for Differentiation and Integration
  • Numerical Differentiation and Integration -- Picard’s method -- Trapezoidal rule -- Simpson’s 1/3rd rule -- Simpson’s 3/8 rule

  • Solution of Ordinary Differential Equations -- Taylor’s series method -- Euler’s method -- Modified Euler’s method -- Runge-Kutta method (Fourth order) -- Milne’s method -- Adam’s predictor-corrector method

Question Directory

Previous Year Questions

[⤓] Midsem-MAT301-Y2S3-BTECH-CSE-IT-OCT24

[⤓] MAT301-PYQ-BTECH-CSE-IT-Sem3Jan23

[⤓] MAT301-PYQ-BTECH-CSE-IT-Sem3Dec23

[⤓] MAT301-PYQ-BTECH-CSE-IT-Sem3Jan25

BackPapers

[⤓] MAT301-PYQ-BackQPaper-BTECH-CSE-IT-Sem3Dec24

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