{"id":7792,"date":"2019-12-15T03:28:03","date_gmt":"2019-12-15T03:28:03","guid":{"rendered":"https:\/\/www.inspirenignite.com\/vtu\/numerical-methods-aero-7th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-4\/"},"modified":"2019-12-15T03:28:03","modified_gmt":"2019-12-15T03:28:03","slug":"numerical-methods-aero-7th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-4","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/vtu\/numerical-methods-aero-7th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-4\/","title":{"rendered":"Numerical Methods Aero 7th Sem Syllabus for VTU BE 2017 Scheme (Professional Elective-4)"},"content":{"rendered":"

Numerical Methods detail syllabus for Aeronautical Engineering (Aero), 2017 scheme is taken from VTU<\/a> official website and presented for VTU students. The course code (17AE753), and for exam duration, Teaching Hr\/week, Practical Hr\/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.<\/p>\n

For all other aero 7th sem syllabus for be 2017 scheme vtu you can visit Aero 7th Sem syllabus for BE 2017 Scheme VTU Subjects<\/a>. For all other Professional Elective-4 subjects do refer to Professional Elective-4<\/a>. The detail syllabus for numerical methods is as follows.<\/p>\n

Course Objectives:<\/h4>\n

This course will enable students to<\/p>\n

    \n
  1. Comprehend the basic concepts of numerical methods.<\/li>\n
  2. Acquire the knowledge of interpolation and approximation.<\/li>\n
  3. Understand about the curve fitting, root finding and optimization.<\/li>\n<\/ol>\n

    Module 1 <\/h4>\n

    For complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

    Module 2 <\/h4>\n

    Interpolation and Approximation Lagrangian Polynomials – Divided differences Interpolating with a cubic spline – Newton’s forward and backward difference formulas. Eigen Values and Eigenvectors Motivation and Objectives\/ The characteristics Polynominal\/ Power Methods \/ Jacobi’s Method\/ Householder Transformation\/ QR Method\/ Danilevsky’s Method\/ Polynominal Roots.\t<\/p>\n

    Module 3 <\/h4>\n

    Numerical Differentiation and Integration Derivative from difference tables – Divided differences and finite differences – Numerical integration by trapezoidal and Simpson’s 1\/3 and 3\/8 rules – Two and Three point Gaussian quadrature formulas -Double integrals using trapezoidal and Simpson’s rules.\t<\/p>\n

    Module 4 <\/h4>\n

    For complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

    Module 5 <\/h4>\n

    Root Finding Motivation and Objectives\/ Bracketing methods\/ Contraction Mapping Method\/ Secant Method\/ Muller’s Method\/ Newton’s Method\/ Polynomial Roots\/ Nonlinear Systems of Equations. Optimization Motivation and Objectives\/ Local and Global Minima\/ Line Searches\/ Steepest Descent Method\/ Conjugate-Gradient Method\/ Quasi-Newton Methods\/ Penalty Functions\/ Simulated Annealing.\t<\/p>\n

    Course Outcomes:<\/h4>\n

    After studying this course, students will be able to:<\/p>\n

      \n
    1. Apply the basic concepts of numerical methods.<\/li>\n
    2. Compute the Eigen values, Eigen vectors, numerical differentiation and integration.<\/li>\n
    3. Perform the curve fitting and root finding.<\/li>\n<\/ol>\n

      Graduate Attributes (as per NBA):<\/h4>\n