AKTU UPTU UPSEE Admission Online Form

How to take admission in Engineering Colleges : As per the decision of Academic Council of AKTU the admissions process of Post Graduate program (M.Tech./M.Pharm./M.Arch./MURP/M.Des.), will be as follows: Admission to P.G. ( M.Tech./ M.Pharm./ M.Arch./ MURP/ M.Des.) Programs There shall be an entrance test for admissions to P.G. (M.Tech./M.Pharm./M.Arch./MURP/M.Des.) programs offered by the various affiliated institutes of the University for the session 2020-21. The domain knowledge test for such admissions will be of GATE/GPAT/CEED level. The candidates seeking admissions to above programme shall have to appear in a multiple-choice objective nature written test.

SYLLABUS

1. M. Tech (BT, CHE, CE, ME, CSIT,EC, EE,TE, ES and LS) Part A- (i) General Aptitude (BT, CHE, CE, ME, CSIT, EC, EE,TE, ES and LS)

General Aptitude test is aimed at evaluating the verbal ability, quantitative aptitude, logical & abstract reasoning. Following is a brief description of contents of the test paper.

• English Language: Grammar, vocabulary, uncommon words, sentence completion, synonyms, antonyms, relationship between words & phrases and comprehension of passages.
• Numerical Aptitude: Numerical calculation, arithmetic, simple algebra, geometry and trigonometry, Interpretation of graphs, charts and tables.
• Thinking and Decision Making: Creative thinking, unfamiliar relationships, verbal reasoning, finding patterns trends and Assessment of figures & diagrams.

Part A- (ii) Mathematics (BT, CHE, CE, ME, CSIT, EC, EE,TE and ES)

Linear Algebra: Matrices and Determinants, Systems of linear equations, Eigen values and eigen vectors.

Calculus: Limit, continuity and differentiability; Partial Derivatives; maxima and minima; Sequences and series; Test for convergence; Fourier series.

Vector Calculus: Gradient; Divergence and Curl; Line; surface and volume integrals; Stokes, Gauss and Green’s theorems.

Differential Equations: Linear and non-linear first order ODEs; Higher order linear ODEs with constant coefficients; Cauchy’s and Euler’s equations; Laplace transforms; PDEs – Laplace, heat and wave equations.

Probability and Statistics: Mean, median, mode and standard deviation; Random variables; Poisson, normal and binomial distributions; Correlation and regression analysis.

Numerical Methods: Solutions of linear and non-linear algebraic equations; integration of trapezoidal and Simpson’s rule; single and multi-step methods for differential equations.