All syllabi
NTRCAWritten
NTRCA college written syllabus
College level; page updated April 2024 · 142 pages
Subject-specific written syllabi for college-level teacher registration. Select the subject relevant to the post.
Published by NTRCA. Collected 2026-11-14. Confirm the edition and subject against your recruitment notice before studying.
Text below is extracted for search and may contain mistakes. 18 pages were flagged for text-quality review. Use the original PDF to check marks, formulas and Bangla spelling.
CollegeLecturerTeacher registration
Read the document
Page 31 of 142
Searchable text (unverified)
E:\NTRCA\Exam\17th Exam'20\Written\Syllabus\Written_College level_17th Exam-2020 (1-52 code) (Main).doc 34 integral calculus 7c • determine Complementary Function/Particular Integral/ General Solution of a differential equation Differential Equation: Differential equations of first order and first degree, linear differential equations with constant co-efficients. 8a •design algorithm to solve a problem 8b • code and refine program Unit 8 Programming in Fortran: Problem analysis and development of algorithms , Program coding, execution, design, validation and refinement 10 9a •Identify advantage, disadvantage and limitations of different method to solve equation of one variable 9b • Solve equation of one variable using different method. 9c •Use appropriate formula estimating inner unknown value with the help of given set of observation. 9d •Construct a polynomial function using given set of observation. Unit 9 Numerical Analysis: Solution of equation in one variable: Bisection algorithm. Method of false position. Fixed point iteration. Newton- Raphson method. Convergence analysis. Interpolation and polynomial approximation: Newton’s forward and backward, Newton’s general formula. Taylor polynomial, Lagrange polynomial, Iterated interpolation, Extrapolation. 10 10a • understand the characteristics of convex set. 10b • find out the feasibility and optimality of a linear programming problem 10c • formulate a linear programming problem 10d • solve a linear programming problem graphically. Unit 10 Linear Programming: Convex sets and related theorems, Introduction to linear programming, feasibility and optimality, formulation of linear programming problems, Graphical solutions. 10