#1
22nd November 2015, 08:21 AM
| |||
| |||
Sem IV Syllabus Mumbai University
Can you provide me the syllabus of Sem IV of Production Engineering, Faculty of Technology in University of Mumbai as my exams are near by and I need it for preparation?
|
#2
22nd November 2015, 08:22 AM
| |||
| |||
Re: Sem IV Syllabus Mumbai University
The University of Mumbai is one of the first three state universities in India. It offers Bachelors, Masters and Doctoral degrees apart from diplomas and certificates in many disciplines. Sem IV Syllabus Mumbai University Course Code Course Name PEC401 Applied Mathematics-IV PEC402 Theory of Machines PEC403 Manufacturing Engineering-II PEC404 Electrical and Electronics Engineering PEC405 Applied Thermodynamics PEC406 Materials Technology PEL307 Workshop Practice-IV Matrices: 1.1 Brief revision of vectors over a real field, inner product, norm, Linear Dependance and Independence and orthogonality of vectors. 1.2 Characteristic polynomial, characteristic equation, characteristic roots and characteristic vectors of a square matrix, properties of characteristic roots and vectors of different types of matrices such as orthogonal matrix, Hermitian matrix, Skew-Hermitian matrix, Cayley Hamilton theorem ( without proof) Functions of a square matrix, Minimal polynomial and Derogatory matrix. Vector calculus: 2.1 Brief revision of Scalar and vector point functions, Gradient, Divergence and curl. 2.2 Line integrals, Surface integrals, Volume integrals. Green’s theorem(without proof) for plane regions and properties of line integrals, Stokes theorem(without proof), Gauss divergence theorem (without proof) related identities and deductions.(No verification problems on Stoke’s Theorem and Gauss Divergence Theorem) Non Linear Programming: 3.1 Unconstrained optimization, problems with equality constraints Lagranges Multiplier method. 3.2 Problem with inequality constraints Kuhn-Tucker conditions. Probability Distributions: 4.1 Discrete and Continuous random variables, Probability mass and density function, Probability distribution for random variables, Expected value, Variance. 4.2 Probability Distributions:Binomial, Poisson and Normal Distributions. For detailed study. ![]() ![]() ![]() ![]() Last edited by Shaleen; 22nd November 2015 at 08:24 AM. |
|