#1
May 13th, 2017, 03:12 PM
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Devi Ahilya University Syllabus
Hi buddy here I am looking for Devi Ahilya University BCA program Syllabus, so would you plz let me now from where I ca do check it ??
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#2
May 13th, 2017, 03:18 PM
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Re: Devi Ahilya University Syllabus
As you want here I am providing Devi Ahilya University BCA program Syllabus, so on your demand I am providing same for you : SEMESTER – 1 BCA -101 : MATHEMATICS – 1 Max. Marks : 50 Min. Marks : 17 OBJECTIVE : The objective of this course is to familiarize the students with Calculus. EXAMINATION The internal examination will carry 20% marks i.e. 10 marks. The external examination will be of 80% marks i.e. 40 marks. The question paper will contain questions equally distributed in all units. The balance of the paper will be maintained by including appropriate (numerical/objective/conceptual/analytical/theoretical) combination of subsection in each question. UNIT - I Review of concepts of function of one variable: define a function. Types of function: Limits: define working rule for finding out the limit, fundamental property of limit, problems based on limits: Continuity : define point of discontinuity, classification of discontinuity, problems based on continuity & discontinuity Differentiability : condition for derivability and problems. UNIT - II Successive differentiation, Rolles theorem, Mean value theorem, Taylor’s theorem, Taylor’s & Maclaurin’s series, Intermediate forms. UNIT - III Tangents, Normals, Curvature, asymptotes, integration of hyperbolic function and reduction formula UNIT - IV Differentiation of vector function, gradient, directional derivatives, divergence and curl, vector function of several scalar variables and their partial derivative, level surface gradient in Cartesian and polar coordinates, divergences of vector and curl of a vector. UNIT - V Matrix – definition, types of matrix, special matrix elementary transformation of matrix, inverse of matrix – adjoint methods and Gaussian elimination, normal from of matrix, rank of matrix, nullity of matrix (their applications) consistency and solution of linear simultaneous equations |