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ICT-105Theory3 credits · L3

System Modeling Techniques – I

Offered in Semester 1 for CSE, IT, ECE, CSE-AI, CSE-DS · Prerequisites: None

01Syllabus (unit-wise)

Official topics from the 2025-26 syllabus, unit by unit.

IUnit I

Partial derivatives, Chain rule, Differentiation of Implicit functions, Exact differentials. Maxima, Minima and saddle points, Method of Lagrange multipliers. Integration, Differentiation under Integral sign, Jacobians and transformations of coordinates. Taylor's and Maclurian Series. Ordinary Differential Equations (ODEs): Basic Concepts. Geometric Meaning of y'= ƒ(x, y). Direction Fields, Euler's Method, Separable ODEs. Exact ODEs. Integrating Factors, Linear ODEs. Bernoulli Equation. Orthogonal Trajectories. Homogeneous Linear ODEs with Constant Coefficients. Differential Operators. Modeling of Free Oscillations of a Mass–Spring System, Euler– Cauchy Equations. Wronskian, Nonhomogeneous ODEs, Solution by Variation of Parameters

IIUnit II

Power Series Method for solution of ODEs, Bessel's Equation, Legendre's Equation, Hermite‘s equation, Laguerre's Equations. Corresponding Special Functions, Recurrence Relations for these special functions, their properties. Gamma and Beta functions and their properties

IIIUnit III

Linear Algebra: Matrices and Determinants, Gauss Elimination, Linear Independence. Rank of a Matrix. Vector Space. Solutions of Linear Systems and concept of Existence, Uniqueness, Determinants. Cramer's Rule, Gauss– Jordan Elimination. The Matrix Eigenvalue Problem. Determining Eigenvalues and Eigenvectors, Symmetric, Skew-Symmetric, and Orthogonal Matrices. Eigenbases. Diagonalization. Quadratic Forms. Gram-Schmidt process. Cayley – Hamilton Theorem (without proof). LU and Cholesky decomposition, applications to systems of equations, Singular Value Decomposition (SVD) with applications.

IVUnit IV

Vector Calculus: Vector and Scalar Functions and Their Fields. Derivatives, Curves. Arc Length. Curvature. Torsion, Gradient of a Scalar Field. Directional Derivative, Divergence of a Vector Field, Curl of a Vector Field, Line Integrals, Path Independence of Line Integrals, Double Integrals, Green's Theorem in the Plane, Surfaces for Surface Integrals, Surface Integrals, Triple Integrals, Stokes Theorem. Divergence Theorem of Gauss.

02Marking scheme

How this paper is evaluated

1. Teachers Continuous Evaluation: 40 marks 2. Term-End Semester Examinations: 60 Marks

03Course outcomes

What you should be able to do after this course

CO1

Ability to use series, differential and integral methods to solve formulated engineering problems.

CO2

Ability to use Ordinary Differential Equations to solve formulated engineering problems.

CO3

Ability to use linear algebra to solve formulated engineering problems.

CO4

Ability to use vector calculus to solve formulated engineering problems.

04Books

Prescribed textbooks and references

Textbooks

  1. 01Advanced Engineering Mathematics, Erwin Kreyszig, John Wiley, 10th Ed., 2011.
  2. 02Mathematical Methods for Physics and Engineering, K. F. Riley, M. P. Hobson and S. J. Bence, CUP, 2013.

References

  1. 01Engineering Mathematics by K.A. Stroud with Dexter J. Booth, Macmillan, 2020.
  2. 02Special Functions of Mathematics for Engineers. Larry C. Andrews, OUP, 1998
  3. 03Advanced Engineering Mathematics by Larry Turyn, Taylor and Francis, 2014.
  4. 04Advanced Engineering Mathematics by Dennis G. Zill, Jones & Bartlett Learning, 2018.
  5. 05Advanced Engineering Mathematics with MATLAB by Dean G. Duffy, Taylor and Francis, 2017.
  6. 06Advanced Engineering Mathematics by Merle C. Potter, Jack L. Lessing, and Edward F. Aboufadel, Springer
  7. 07(Switzerland), 2019.