loader image
Skip to main content

24 MTS3CO3 MATHEMATICS 3

FREE
Updated 03 Oct 2024
Lessons 5
Enrolled 22
Language English ‎(en)‎
Skill Level Beginner

Course Overview

Course credit  3

Hours per week 5

Total : 75Marks  [ Internal 15 + External 60 ]

Aim of the Course: 

·       This course  comprises the study of vector valued function and complex numbers.

·       The concept of the gradient of a scalar function , curl, and divergence of a vector field are discussed .

·       The study of  analytic functions and their behavior with respect to the complex calculus is the main focus

·      To understand the difference between the differentiability and analyticity of a complex function and the necessary and sufficient conditions  for analyticity.

      Objectives of the Course:

      To learn the idea of limit ,continuity and derivatives of vector -valued function.

      Use  partial derivatives to find the tangent plane and normal line to a point on a surface.

      Understand  the properties and applications of the gradient of a function .

      Apply double integral and triple integral to find the mass of a lamina, center of mass, etc.

      Evaluate curl and divergence of a vector field.

      Understand  the definition and evaluation of complex integral.

      Understand Cauchy ‘s integral formula and apply it to derivative Liouville’s theorem and the fundamental theorem of Algebra.

      Understand the line integral, surface integral and triple integral.

Module I                                                                                                                        (21 hrs)

          : Vector Functions - Vector Valued Functions, Limits, Continuity, and Derivatives, Geometric Interpretation of r(t), Higher Order Derivatives, Integrals of Vector                                Functions, Length of a Space Curve, Arc Length as a Parameter

          : Motion on a Curve - Velocity and Acceleration, Centripetal Acceleration, Curvilinear Motion in the Plane

          : Curvature and components of Acceleration  - definition, Curvature of a Circle, Tangential and Normal Components of Acceleration, The Binormal, Radius of Curvature

          : Partial Derivatives - Functions of Two Variables, Level Curves, Level Surfaces, Higher Order and Mixed Derivatives, Functions of Three or More Variables, Chain Rule, Generalizations

          : Directional Derivative - The Gradient of a Function, A Generalization of Partial Differentia- tion, Method for Computing the Directional Derivative, Functions of Three Variables, Maximum Value of the Directional Derivative, Gradient Points in Direction of Most Rapid Increase of f

          : Tangent planes and Normal Lines - Geometric Interpretation of the Gradient, Tangent Plane, Surfaces Given by z = f (x, y), Normal Line

Module II                                                                                                                        (24 hrs

             : Curl and Divergence - Vector Fields, definition of curl and divergence, Physical Interpreta- tions

          : Line Integrals - definition of smooth closed and simple closed curves, Line Integrals in the Plane, Method of Evaluation - curve as explicit function and curve given parametrically, Line Integrals in Space, Method of Evaluation, Work, Circulation

          : Independence of Path - Conservative Vector Fields, Path Independence, A Fundamental The- orem, definition of connected, simply connected and multiconnected regions, Integrals Around Closed Paths, Test for a Conservative Field, Conservative Vector Fields in 3-Space, Conservation of Energy

           : Double Integral - Integrability, Area, Volume, Properties, Regions of Type I and II, Iterated Integrals, Evaluation of Double Integrals (Fubini theorem), Reversing the Order of Integration, Laminas with Variable Density-Center of Mass, Moments of Inertia, Radius of Gyration

                        : Double Integrals in  Polar  Coordinates - Polar Rectangles, Change of Variables:  Rectan- gular to Polar Coordinates.

              : Green’s Theorem - Line Integrals Along Simple Closed Curves,  Green’s  theorem  in  plane, Region with Holes

            : Surface Integral - Surface Area, Differential of Surface Area, Surface Integral, Method of Evaluation, Projection of S into Other Planes, Mass of a Surface, Orientable Surfaces, Integrals of Vector Fields-Flux.

          : Stokes’s Theorem - Vector Form of Green’s Theorem, Green’s Theorem in 3-Space Stoke’s Theorem, Physical Interpretation of Curl

 

Module III                                                                                                                        (21 hrs)

                    : Triple Integral - definition, Evaluation by Iterated Integrals, Applications, Cylindrical Co- ordinates, Conversion of Cylindrical Coordinates to Rectangular Coordinates,               Conversion of Rectangular Coordinates to Cylindrical Coordinates, Triple Integrals in Cylindrical Coordinates, Spherical Coordinates, Conversion of Spherical                               Coordinates to Rectangular and Cylindrical Co- ordinates, Conversion of Rectangular Coordinates to Spherical Coordinates, Triple Integrals in Spherical Coordinates

            : Divergence Theorem - Another Vector Form of Green’s Theorem, divergence or Gauss’ the- orem, (proof omitted), Physical Interpretation of Divergence

             : Change of Variable in Multiple Integral - Double Integrals, Triple Integrals

   17.1: Complex Numbers - definition, arithmetic operations, conjugate, Geometric Interpretation 17.2: Powers and roots - Polar Form, Multiplication and Division, Integer Powers of z, DeMoivre’s

Formula, Roots

            : Sets in the Complex Plane - neighbourhood, open sets, domain, region etc.

            Functions  of  a  Complex  Variable - complex functions,  Complex Functions as Flows,  Limits and Continuity, Derivative, Analytic Functions-entire functions

  : Cauchy Riemann Equation - A Necessary Condition for Analyticity, Criteria for analyticity, Harmonic Functions, Harmonic Conjugate Functions,

  : Exponential and Logarithmic function - (Complex) Exponential Function, Properties, Pe- riodicity, (‘Circuits’ omitted), Complex Logarithm-principal value, properties, Analyticity

  : Trigonometric and Hyperbolic functions - Trigonometric Functions, Hyperbolic Functions, Properties-Analyticity, periodicity, zeros etc.

 

Module IV                                                                                                                        (14 hrs)

       :  Contour  integral-definition,  Method  of  Evaluation,  Properties,  ML   inequality, Circulation and Net

  :  Cauchy-Goursat  Theorem-  Simply  and  Multiply  Connected   Domains,   Cauchy’s Theorem, Cauchy-Goursat theorem, Cauchy-Goursat Theorem for Multiply Connected Do- mains.

  : Independence of Path - Analyticity and path independence, fundamental theorem for contour integral, Existence of Antiderivative

  : Cauchy’s Integral Formula - First Formula, Second Formula-C.I.F. for derivatives. Liou- ville’s Theorem, Fundamental Theorem of Algebra

 

References:

1.                     1.  Soo T Tan: Calculus Brooks/Cole, Cengage Learning(2010 )ISBN 0-534-46579-X

              2. Gilbert Strang: Calculus Wellesley Cambridge Press(1991)ISBN: 0-9614088-2-0

             3.   Ron Larson. Bruce Edwards:  Calculus(11/e) Cengage Learning(2018) ISBN: 978-1-337-27534-7

             4.  Robert A Adams & Christopher Essex : Calculus several Variable (7/e) Pearson Education Canada (2010) ISBN: 978-0-321-54929-7

5.    Jerrold Marsden & Anthony Tromba : Vector Calculus (6/e)  W.  H.  Freeman  and  Company ISBN: 978-1-4292-1508-4

6.    Peter V O’Neil: Advanced Engineering Mathematics(7/e) Cengage Learning(2012)ISBN: 978- 1-111-42741-2

7.    Erwin Kreyszig: Advanced Engineering Mathematics(10/e) John Wiley & Sons(2011) ISBN: 978-0-470-45836-5

8.    Glyn James: Advanced Modern Engineering Mathematics(4/e) Pearson Education Limited(2011) ISBN: 978-0-273-71923-6

Text:  Advanced Engineering  Mathematics (6/e) : Dennis G Zill Jones & Bartlett Learning, LLC (2018)ISBN: 978-1-284-10590-2

Course Content

Loading...

Enrolment options

Course credit  3

Hours per week 5

Total : 75Marks  [ Internal 15 + External 60 ]

Aim of the Course: 

·       This course  comprises the study of vector valued function and complex numbers.

·       The concept of the gradient of a scalar function , curl, and divergence of a vector field are discussed .

·       The study of  analytic functions and their behavior with respect to the complex calculus is the main focus

·      To understand the difference between the differentiability and analyticity of a complex function and the necessary and sufficient conditions  for analyticity.

      Objectives of the Course:

      To learn the idea of limit ,continuity and derivatives of vector -valued function.

      Use  partial derivatives to find the tangent plane and normal line to a point on a surface.

      Understand  the properties and applications of the gradient of a function .

      Apply double integral and triple integral to find the mass of a lamina, center of mass, etc.

      Evaluate curl and divergence of a vector field.

      Understand  the definition and evaluation of complex integral.

      Understand Cauchy ‘s integral formula and apply it to derivative Liouville’s theorem and the fundamental theorem of Algebra.

      Understand the line integral, surface integral and triple integral.

Module I                                                                                                                        (21 hrs)

          : Vector Functions - Vector Valued Functions, Limits, Continuity, and Derivatives, Geometric Interpretation of r(t), Higher Order Derivatives, Integrals of Vector                                Functions, Length of a Space Curve, Arc Length as a Parameter

          : Motion on a Curve - Velocity and Acceleration, Centripetal Acceleration, Curvilinear Motion in the Plane

          : Curvature and components of Acceleration  - definition, Curvature of a Circle, Tangential and Normal Components of Acceleration, The Binormal, Radius of Curvature

          : Partial Derivatives - Functions of Two Variables, Level Curves, Level Surfaces, Higher Order and Mixed Derivatives, Functions of Three or More Variables, Chain Rule, Generalizations

          : Directional Derivative - The Gradient of a Function, A Generalization of Partial Differentia- tion, Method for Computing the Directional Derivative, Functions of Three Variables, Maximum Value of the Directional Derivative, Gradient Points in Direction of Most Rapid Increase of f

          : Tangent planes and Normal Lines - Geometric Interpretation of the Gradient, Tangent Plane, Surfaces Given by z = f (x, y), Normal Line

Module II                                                                                                                        (24 hrs

             : Curl and Divergence - Vector Fields, definition of curl and divergence, Physical Interpreta- tions

          : Line Integrals - definition of smooth closed and simple closed curves, Line Integrals in the Plane, Method of Evaluation - curve as explicit function and curve given parametrically, Line Integrals in Space, Method of Evaluation, Work, Circulation

          : Independence of Path - Conservative Vector Fields, Path Independence, A Fundamental The- orem, definition of connected, simply connected and multiconnected regions, Integrals Around Closed Paths, Test for a Conservative Field, Conservative Vector Fields in 3-Space, Conservation of Energy

           : Double Integral - Integrability, Area, Volume, Properties, Regions of Type I and II, Iterated Integrals, Evaluation of Double Integrals (Fubini theorem), Reversing the Order of Integration, Laminas with Variable Density-Center of Mass, Moments of Inertia, Radius of Gyration

                        : Double Integrals in  Polar  Coordinates - Polar Rectangles, Change of Variables:  Rectan- gular to Polar Coordinates.

              : Green’s Theorem - Line Integrals Along Simple Closed Curves,  Green’s  theorem  in  plane, Region with Holes

            : Surface Integral - Surface Area, Differential of Surface Area, Surface Integral, Method of Evaluation, Projection of S into Other Planes, Mass of a Surface, Orientable Surfaces, Integrals of Vector Fields-Flux.

          : Stokes’s Theorem - Vector Form of Green’s Theorem, Green’s Theorem in 3-Space Stoke’s Theorem, Physical Interpretation of Curl

 

Module III                                                                                                                        (21 hrs)

                    : Triple Integral - definition, Evaluation by Iterated Integrals, Applications, Cylindrical Co- ordinates, Conversion of Cylindrical Coordinates to Rectangular Coordinates,               Conversion of Rectangular Coordinates to Cylindrical Coordinates, Triple Integrals in Cylindrical Coordinates, Spherical Coordinates, Conversion of Spherical                               Coordinates to Rectangular and Cylindrical Co- ordinates, Conversion of Rectangular Coordinates to Spherical Coordinates, Triple Integrals in Spherical Coordinates

            : Divergence Theorem - Another Vector Form of Green’s Theorem, divergence or Gauss’ the- orem, (proof omitted), Physical Interpretation of Divergence

             : Change of Variable in Multiple Integral - Double Integrals, Triple Integrals

   17.1: Complex Numbers - definition, arithmetic operations, conjugate, Geometric Interpretation 17.2: Powers and roots - Polar Form, Multiplication and Division, Integer Powers of z, DeMoivre’s

Formula, Roots

            : Sets in the Complex Plane - neighbourhood, open sets, domain, region etc.

            Functions  of  a  Complex  Variable - complex functions,  Complex Functions as Flows,  Limits and Continuity, Derivative, Analytic Functions-entire functions

  : Cauchy Riemann Equation - A Necessary Condition for Analyticity, Criteria for analyticity, Harmonic Functions, Harmonic Conjugate Functions,

  : Exponential and Logarithmic function - (Complex) Exponential Function, Properties, Pe- riodicity, (‘Circuits’ omitted), Complex Logarithm-principal value, properties, Analyticity

  : Trigonometric and Hyperbolic functions - Trigonometric Functions, Hyperbolic Functions, Properties-Analyticity, periodicity, zeros etc.

 

Module IV                                                                                                                        (14 hrs)

       :  Contour  integral-definition,  Method  of  Evaluation,  Properties,  ML   inequality, Circulation and Net

  :  Cauchy-Goursat  Theorem-  Simply  and  Multiply  Connected   Domains,   Cauchy’s Theorem, Cauchy-Goursat theorem, Cauchy-Goursat Theorem for Multiply Connected Do- mains.

  : Independence of Path - Analyticity and path independence, fundamental theorem for contour integral, Existence of Antiderivative

  : Cauchy’s Integral Formula - First Formula, Second Formula-C.I.F. for derivatives. Liou- ville’s Theorem, Fundamental Theorem of Algebra

 

References:

1.                     1.  Soo T Tan: Calculus Brooks/Cole, Cengage Learning(2010 )ISBN 0-534-46579-X

              2. Gilbert Strang: Calculus Wellesley Cambridge Press(1991)ISBN: 0-9614088-2-0

             3.   Ron Larson. Bruce Edwards:  Calculus(11/e) Cengage Learning(2018) ISBN: 978-1-337-27534-7

             4.  Robert A Adams & Christopher Essex : Calculus several Variable (7/e) Pearson Education Canada (2010) ISBN: 978-0-321-54929-7

5.    Jerrold Marsden & Anthony Tromba : Vector Calculus (6/e)  W.  H.  Freeman  and  Company ISBN: 978-1-4292-1508-4

6.    Peter V O’Neil: Advanced Engineering Mathematics(7/e) Cengage Learning(2012)ISBN: 978- 1-111-42741-2

7.    Erwin Kreyszig: Advanced Engineering Mathematics(10/e) John Wiley & Sons(2011) ISBN: 978-0-470-45836-5

8.    Glyn James: Advanced Modern Engineering Mathematics(4/e) Pearson Education Limited(2011) ISBN: 978-0-273-71923-6

Text:  Advanced Engineering  Mathematics (6/e) : Dennis G Zill Jones & Bartlett Learning, LLC (2018)ISBN: 978-1-284-10590-2

Skill Level: Beginner
Guests cannot access this course. Please log in.

Related Courses

Minor Semester III Academic Level 200-299  Credit :4 TOTAL mark: 100  External (70) + Internal (30) Per week Total Hours: 4  Course Summary          This course comprises four main modules: Lattice, Boolean Algebra, System of Equations, and Eigenvalue and Eigenvectors. Module I introduce concepts like ordered sets and lattices, while Module II explores Boolean Algebra and its applications. Module III covers linear systems of equations, including Gauss elimination and determinants. Finally, Module IV delves into Eigenvalue and Eigenvectors, offering insights into matrix properties and applications.  Course Outcome  CO1: Analyse Lattices and Boolean Algebra . CO2: Apply Matrix Operations and Linear Systems . CO3: Investigate Eigenvalue and Eigenvector Problems.  Textbook 1. Theory and Problems of Discrete mathematics (3/e), Seymour Lipschutz, Marc Lipson, Schaum's Outline Series.  2. Advanced Engineering Mathematics (10/e), Erwin Kreyzsig, Wiley India. MODULE I Lattice (Text 1)   1 14.2 Ordered set 2 14.3 Hasse diagrams of partially ordered sets 3 14.5 Supremum and Infimum 4 14.8 Lattices 5 14.9 Bounded lattices, 14.10 Distributive lattices 6 14.11 Complements, Complemented lattices MODULEII Boolean Algebra (Text 1)    7 15.2 Basic definitions 8 15.3 Duality 9 15.4 Basic theorems 10 15.5 Boolean algebra as lattices 11 15.8 Sum and Product form for Boolean algebras 12 15.8 Sum and Product form for Boolean algebras Complete Sum and Product forms  MODULE lII System of Equations (Text 2)   13 7.1 Matrices, Vectors: Addition and Scalar Multiplication 14 7.2 Matrix Multiplication (Example 13 is optional) 15 7.3 Linear System of Equations- Gauss Elimination 16 7.4 Linear Independence- Rank of a matrix- Vector Space (Proof   Theorem 3 is optional)  17 7.5 Solutions of Linear Systems- Existence, Uniqueness (Proof of Theorem 1, Theorem 2 and Theorem 4 are optional) MODULE IV Eigen Value and Eigen Vectors (Text 2)  18 7.6 Second and Third Order Determinants- up to and including  Example 1 19 7.6 Second and Third Order Determinants- Third order determinants 20 7.7 Determinants- Theorem 2, Theorem 3 and Theorem 4 are optional) 21 7.8 Inverse of a Matrix- Gauss- Jordan Elimination (Proof Theorem 1, Theorem 2, Theorem 3 and Theorem 4 are optional) 22 8.1 The Matrix Eigenvalue Problem- Determining Eigenvalues and Eigenvectors (Proof of Theorem 1 and Theorem 2 are optional)  V Open Ended Module   Relation on a set, Equivalence relation and partition, Isomorphic ordered sets, Wellordered sets, Representation theorem of Boolean algebra, Logic gates, Symmetric, Skew-symmetric and Orthogonal matrices, Linear Transformation.  References: 1. Howard Anton & Chris Rorres, Elementary Linear Algebra: Application (11/e) : Wiley 2. Ron Larson,Edwards, David C Falvo : Elementary Linear Algebra (6/e), Houghton Mi_in Harcourt Publishing Company (2009) 3. Thomas Koshy - Discrete Mathematics with Applications-Academic Press (2003) 4. George Gratzer, Lattice theory: First concepts and distributive lattices. Courier Corporation (2009) Note: 1) Optional topics are exempted for end semester examination. 2) Proofs of all the results are also exempted for the end semester exam.     

5 Lessons
Updated: Jun 2025
11 Enrolled

Students are introduced to the concepts, procedures, and resources of software project management in this course. Project scheduling, budgeting, quality assurance, risk management, and teamwork are among the subjects covered. The goal of the course is to equip students with the skills necessary for efficient project management in software development settings. 

5 Lessons
Updated: Jun 2025
11 Enrolled

MODULES 1) FUNDAMENTALS OF TESTING. 2) DISTRIBUTION THEORY. 3) TESTS OF HYPOTHESIS. 4) ANALYSIS OF VARIANCE. 5) PRACTICUM.

5 Lessons
Updated: Jun 2025
11 Enrolled

The objectives of this course are to make the student understand programming language, programming, concepts of Loops, reading a set of Data, stepwise refinement, Functions, Control structure, Arrays, Structures, Unions, and Pointers. After completion of this course the student is expected to analyze the real life problem and write a program in ‘C’ language to solve the problem. The main emphasis of the course will be on problem solving aspect i.e. developing proper algorithms. 

5 Lessons
Updated: Mar 2025
46 Enrolled

Latest Courses

5 Lessons
Updated: Jun 2025
46 Enrolled

Internal (20) External 80   Credit : 4 Lecture Hours per Week : 4 Module III  : Data Collection Data Collection: Types of Data , Primary Vs Secondary Data ,Methods of Primary data Collection, Survey Vs Observation ,Experiments, Construction of Questionnaire and Instrument, Validation of Questionnaire, Sampling plan, sample size, sampling methods, Determinants of optimal sample size, Sampling techniques, Probability Vs non probability methods . Module IV  : Data Processing   Data Processing : Processing Stages , Editing, Coding and data entry, Validity of data, Qualitative Vs Quantitative data analysis, Frequency table, Contingency table, Graphs, Measures of central tendency and index number, Testing of Hypothesis, Bivariate and multivariate statistical techniques, Factor analysis, Discriminant analysis, Cluster analysis, Interpretation. Objectives  To enable students for acquiring basic knowledge in business research methods and to develop basic skill in them to conduct survey researches and case study .  

5 Lessons
Updated: Jun 2025
55 Enrolled

Internal (20) External 80   Credit : 4 Lecture Hours per Week : 4 Module III  : Data Collection Data Collection: Types of Data , Primary Vs Secondary Data ,Methods of Primary data Collection, Survey Vs Observation ,Experiments, Construction of Questionnaire and Instrument, Validation of Questionnaire, Sampling plan, sample size, sampling methods, Determinants of optimal sample size, Sampling techniques, Probability Vs non probability methods . Module IV  : Data Processing   Data Processing : Processing Stages , Editing, Coding and data entry, Validity of data, Qualitative Vs Quantitative data analysis, Frequency table, Contingency table, Graphs, Measures of central tendency and index number, Testing of Hypothesis, Bivariate and multivariate statistical techniques, Factor analysis, Discriminant analysis, Cluster analysis, Interpretation. Objectives  To enable students for acquiring basic knowledge in business research methods and to develop basic skill in them to conduct survey researches and case study .  

5 Lessons
Updated: Jun 2025
58 Enrolled

Introduction to Web Designing: Basics of Web Designing -World Wide Web (WWW), W3C, WebBrowser,Web Server, Web Hosting, Web Pages, DNS, URL,Overview of HTML (Concept only) and its role in Web,Overview of HTML (Concept only) and its role in Web,Overview of HTML (Concept only) and its role in Web,Source Licenses (Concept only) Source Licenses (Concept only):Introduction to Content Management Systems (CMS) - Feat,CMS,Web Content Management System,Components of Content Management System Introduction to Drupal:Drupal - Features, Advantages and Disadvantages, Installation and ,Configuration,Content types and Field,Drupal Architecture,User Management, Managing Comments,Creating and Customizing Themes Building Website:Website Development - Working with Templates and Template files,Articles, Creating Web Forms,Managing blocks, Add Links to Blocks, Moving Elements withinBlock,Blocks and Regions,Creating and Customizing Views, Installing and Configuring,Modules,Static Pages, Creating Pages, Menu Management. Practical :1. Install and configure Drupal on your computer.2. Design a website of your college using Drupal and modify thebasic site settings.3. Add different menus to your website. The menus shouldcontain: home, news, gallery, about us and contact us.4. Create user roles for your site and assign permissions.5. Install and activate a new theme from the Drupal themerepository.6. Add different blocks in to your website.7. Create a new content type and add some fields to it.8. Add new article to your site.9. Install and configure the ‘pathauto’ module.10. Create the mobile view of your website.  

5 Lessons
Updated: Jun 2025
35 Enrolled
5 Lessons
Updated: Jun 2025

Minor Semester III Academic Level 200-299  Credit :4 TOTAL mark: 100  External (70) + Internal (30) Per week Total Hours: 4  Course Summary          This course comprises four main modules: Lattice, Boolean Algebra, System of Equations, and Eigenvalue and Eigenvectors. Module I introduce concepts like ordered sets and lattices, while Module II explores Boolean Algebra and its applications. Module III covers linear systems of equations, including Gauss elimination and determinants. Finally, Module IV delves into Eigenvalue and Eigenvectors, offering insights into matrix properties and applications.  Course Outcome  CO1: Analyse Lattices and Boolean Algebra . CO2: Apply Matrix Operations and Linear Systems . CO3: Investigate Eigenvalue and Eigenvector Problems.  Textbook 1. Theory and Problems of Discrete mathematics (3/e), Seymour Lipschutz, Marc Lipson, Schaum's Outline Series.  2. Advanced Engineering Mathematics (10/e), Erwin Kreyzsig, Wiley India. MODULE I Lattice (Text 1)   1 14.2 Ordered set 2 14.3 Hasse diagrams of partially ordered sets 3 14.5 Supremum and Infimum 4 14.8 Lattices 5 14.9 Bounded lattices, 14.10 Distributive lattices 6 14.11 Complements, Complemented lattices MODULEII Boolean Algebra (Text 1)    7 15.2 Basic definitions 8 15.3 Duality 9 15.4 Basic theorems 10 15.5 Boolean algebra as lattices 11 15.8 Sum and Product form for Boolean algebras 12 15.8 Sum and Product form for Boolean algebras Complete Sum and Product forms  MODULE lII System of Equations (Text 2)   13 7.1 Matrices, Vectors: Addition and Scalar Multiplication 14 7.2 Matrix Multiplication (Example 13 is optional) 15 7.3 Linear System of Equations- Gauss Elimination 16 7.4 Linear Independence- Rank of a matrix- Vector Space (Proof   Theorem 3 is optional)  17 7.5 Solutions of Linear Systems- Existence, Uniqueness (Proof of Theorem 1, Theorem 2 and Theorem 4 are optional) MODULE IV Eigen Value and Eigen Vectors (Text 2)  18 7.6 Second and Third Order Determinants- up to and including  Example 1 19 7.6 Second and Third Order Determinants- Third order determinants 20 7.7 Determinants- Theorem 2, Theorem 3 and Theorem 4 are optional) 21 7.8 Inverse of a Matrix- Gauss- Jordan Elimination (Proof Theorem 1, Theorem 2, Theorem 3 and Theorem 4 are optional) 22 8.1 The Matrix Eigenvalue Problem- Determining Eigenvalues and Eigenvectors (Proof of Theorem 1 and Theorem 2 are optional)  V Open Ended Module   Relation on a set, Equivalence relation and partition, Isomorphic ordered sets, Wellordered sets, Representation theorem of Boolean algebra, Logic gates, Symmetric, Skew-symmetric and Orthogonal matrices, Linear Transformation.  References: 1. Howard Anton & Chris Rorres, Elementary Linear Algebra: Application (11/e) : Wiley 2. Ron Larson,Edwards, David C Falvo : Elementary Linear Algebra (6/e), Houghton Mi_in Harcourt Publishing Company (2009) 3. Thomas Koshy - Discrete Mathematics with Applications-Academic Press (2003) 4. George Gratzer, Lattice theory: First concepts and distributive lattices. Courier Corporation (2009) Note: 1) Optional topics are exempted for end semester examination. 2) Proofs of all the results are also exempted for the end semester exam.     

5 Lessons
Updated: Jun 2025
11 Enrolled

After the completion of the course students should be able to:-● Correlate the various phases of the evolution of Indian writing in English.● Delineate the thematic concerns, genres and trends of Indian writing in English .● Recognize the pluralistic aspects of Indian culture and identity.● Determine how and why Indian literature emerged as a distinct field of study.● Identify the development of history of Indian English literature from its beginning to thepresent day.● Interpret the works of great writers of Indian writers in English.● Demonstrate, through discussion and writing, an understanding of significant cultural andsocietal issues presented in Indian English literature.

5 Lessons
Updated: Jun 2025
12 Enrolled

BUSINESS RESEARCH METHODS

5 Lessons
Updated: Jun 2025

Module I: Management Accounting: Nature and Scope - Difference between cost Accounting, Financialaccounting and Management accounting - Recent trends in Management Reporting. (05 Hours, 5 marks)Module II: Analysis and Interpretation of Financial Statements: Meaning - Types and Methods of FinancialAnalysis - Comparative Statements - Trend Analysis - Common size Statements (aPage 23 of 59general discussion only). (10 Hours, 10 marks)Module III Ratio Analysis: Meaning - Nature - uses and limitations of Ratios - Liquidity, Profitability,Turnover, Solvency, Leverage. Market test Ratios. Construction of Financial Statements from ratios - Judgmentof financial stability through ratios - (Focus to be given to problems solving and Interpretation skills) (25 Hours,25 marks)Module IV: Fund Flow and Cash Flow Analysis: A. Fund Flow Statements: Meaning and concept of Fund -Current and Non Current Accounts Flow of fund - Preparation of Fund Flow statement - Uses and Significance.B. Cash Flow Statement: Difference between Fund flow Statement and Cash flow Statement - Preparation ofCash Flow Statement as per AS - 3 Norms - Direct and Indirect methods (Stress to be given to Problems). (25hours, 25 marks)Module-V: Managerial Decision making with the help of CVP Analysis : Marginal Costing - Fixed CostVariable Cost - Contribution - P/V Ratio - Break Even Analysis - Algebraic and Graphic presentation - Decisionmaking : Fixation of Selling Price - Exploring new markets - Make or Buy - Key Factor - Product Mix - Operateor Shutdown. (15 Hours, 15 marks)(Theory and Problems may be in the ratio of 40% and 60% respectively).

5 Lessons
Updated: Jun 2025

BCM3BO3: BUSINESS REGULATIONSCourse objectives: To familiarize the students with various laws in force on establishmentand running of business in the country and the legal aspects to be observed.

5 Lessons
Updated: Jun 2025
87 Enrolled