West Bengal Joint Entrance Examinations Board conducts JECA for admission to Master of Computer Application (MCA) course in various institutions in West Bengal.


Eligibility Criteria

Age: There is no age limit for candidates wishing to appear for WB JECA 2017.

Educational Qualification: Bachelors degree (Graduation) in any discipline from a recognized university with Mathematics as a compulsory subject in Graduation. Candidates appearing for their final year degree examination are also eligible to apply for WB JECA


Examination Pattern

Paper-I: MATHEMATICS

Paper-II: APTITUDE TEST

Paper-1: Mathematics (100 marks): 50 MCQs (each bearing 2 marks) will have to be answered ONLINE. 1 / 2 mark will be deducted for each wrong answer.

Time: Two hours.

Paper –2: Aptitude test (100 marks) : There will be 30 questions of 3 marks each and 10 questions of 1 mark each. For each wrong answer, 1/4 of the total mark(s) allotted to the question will be deducted.

Time : One hour.


Syllabus

i) Analytical Geometry: Cartesian and polar coordinate; Straight line; Circle; Ellipse; Parabola; Hyperbola; Translation & Rotation of axes.

(ii) Algebra: Complex number, De Moiver’s theorem, Solution of linear equations, Determinants, Matrices, Summation of signal series, Addition of vectors, Scalar and Vector products, Inequation, Sets and elements, Universal set, Empty set, Subsets, Venn diagram, Union and intersection of sets, Complements, Algebra of sets, Finite sets, Class of sets, Partitions, Cross product, Group, Ring and Field.

(iii) Calculus: Limit, Continuity, Differentiation; Maxima & minima; Taylor & Maclaruin’s Series: Definite and indefinite integrals, First ana second order differential equation; Functions of several variables; Partial differentiation.

(iv) Probability & Statistics : Permutation, Combination; Probability; Probability distribution; Mean; Median; Mode; Standard Deviation; Correlation coefficient.

Paper II:-

(i) Reasoning,
(ii) Problem Solving
(iii) Quantitative Comparison
(iv) Discrete Quantitative Analysis
(v) Data interpretation