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Course Detail

Course Name Mathematics
Course Code MAT 100
Program BSc. in Biotechnology, BSc. in Microbiology
Semester Two
Credits Four
Year Taught 2019

Syllabus

Linear Algebra

Matrices-definition, Types of matrices, Addition and subtraction of matrices, Multiplication of matrices, Properties of matrix multiplication, Transpose of a matrix, Symmetric and Skew-symmetric matrix, Orthogonal matrix, Adjoint of a matrix, Singular and Non-Singular matrix, Inverse of a matrix, Rank of a matrix, Cramer’s rule, Eigen Values and Eigen Vectors, Cayley Hamilton Theorem,

Sequence and Series Sequence-definition, Arithmetic progression, Geometric Progression, Harmonic Progression, Infinite series, Sum to infinity, Matrices, Determinants and properties of determinants, Minors and co-factors,

Basic calculus

Functions, Limits-definition problems Continuity-definition, properties, Continuity on an interval and continuity of polynomials, continuity of rational functions Differentiation- Slopes and Rate of change Product rule, Quotient rule Derivative of rational powers of x, Implicit differentiation Indeterminate forms and L Hospital rule Integration – Indefinite integral Integration from the view point of differential equations, Integration by  substitution,  Area as a limit of  a sum, The definite integral,

Differential Equation

Differential Equations Definition, Initial and boundary value problems, Classification of First order differential equations, Linear equations, Bernoulli’s equation, Exact equations  Separable equations, Homogeneous equations,

Statistics

Statistics, Collection, Classification and Tabulation of data, Bar diagrams and Pie diagrams, Histogram, Frequency curve and frequency polygon, Ogives Mean, median,mode, Standard deviation.

Lecture by lecture details
Lecture number Topics Objectives Remarks
1 Matrices-definition, Types of matrices, Addition and subtraction of matrices
2 Multiplication of matrices, Properties of matrix multiplication
3 Determinants and properties of determinants, Minors and co-factors
Transpose of a matrix, Symmetric and Skew- symmetric matrix, Orthogonal matrix
5 Adjoint of a matrix, Singular and Non-Singular matrix, Inverse of a matrix
6 Cramer’s rule Use vectors and matrices to solve linear systems of algebraic euqations.
7 – 8 Rank of a matrix
9 Eigen Values and Eigen Vectors

 

Find the eigenvalues and eigenvectors of a matrix.
10 Cayley Hamilton Theorem
11 – 13 Arithmetic progression, Geometric Progression, Harmonic Progression  

 

14 Functions, Limits-definition problems Continuity-definition, properties Basic Concepts
15-16 Continuity on an interval and continuity of polynomials, continuity of rational functions
17-18 Differentiation- Slopes and Rate of change, Product rule Quotient rule
19-20 Derivative of rational powers of x, Implicit differentiation Indeterminate forms and L Hospital rule
21-22 Integration – Indefinite integral Integration from the view point of differential equations
23 – 24 Integration by  substitution Area as a limit of  a sum The definite integral,
25- 27 Differential Equations Definition, Initial and boundary value problems Know what is meant by a “differential equation.” Determine if a given function is a solution to a particular differential equation.

Understand how the terms linear, non-linear, order, ordinary and partial are used to classify differential equations. Find all solutions of a separable differential equation. Find the general solution to a linear first order differential equation. Find the general solution for a first order, linear, constant coefficient, homogeneous system of differential equations.

28 Classification of First order differential equations, Linear equations
29-30 Bernoulli’s equation
31 – 32 Exact equations  Separable equations
33 -35 Homogeneous equations
36 – 38 Statistics, Collection, Classification and tabulation of data
39 -40 Bar diagrams and Pie diagrams,
40 – 42 Histogram, Frequency curve and frequency polygon, Ogives
43 Measures in central tendency Measures of dispersion
44-45 Problem solving
Syllabus - Year Taught
2015 2014

Text Books

  1. Anton-Bivens-Davis   “ 7th Edition Calculas ”  WSE  WILEY
  2. S.C Gupta , V. K Kapoor “Fundamentals of Mathematical statistics ” Sulthan Chand and Sons.

Resources

  1. S.Lipschutz&M.Lipson        “Discrete Mathematics” 2001-TMH
  2. Thomas, Finney “Calculus    9th edition” Pearson publications
  3. Seymour Lipschutz, Marc Lipson   “Schaum’s Outlines Of Probability” MCGRAWHILL    2000 2nd
  4. Bali  Iyengar “ A text book of Engineering Mathematics ”   Dr. B . S  Grewal “ Engineering Mathematics ”

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