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BTECH IN ELECTRONICS AND COMMUNICATION ENGINEERINGcoretheorySem 3

ENGINEERING MATHEMATICS-III

MAT 2122

Syllabus

  • 01Systems of Linear Equations
  • 02Matrices
  • 03Solving Systems of Linear Equations
  • 04Vector Spaces
  • 05Linear Independence
  • 06Basis and Rank
  • 07Linear Mappings
  • 08Affine Spaces
  • 09Norms
  • 10Inner Products
  • 11Lengths and Distances
  • 12Angles and Orthogonality
  • 13Orthonormal Basis
  • 14Orthogonal Complement
  • 15Inner Product of Functions
  • 16Orthogonal Projections
  • 17Rotations
  • 18Determinant and Trace
  • 19Eigenvalues and Eigenvectors
  • 20Cholesky Decomposition
  • 21Eigen decomposition and Diagonalization
  • 22Singular Value Decomposition
  • 23Matrix approximation
  • 24Periodic function
  • 25Fourier Series expansion
  • 26even and odd functions
  • 27functions with arbitrary periods
  • 28Half range expansions
  • 29Fourier transform
  • 30basic properties
  • 31Parseval's identity and applications

References

  • Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong, “Mathematics for Machine Learning”, Cambridge University Press, 2020
  • Grewal B.S. – “Higher Engineering Mathematics”, Khanna Publishers, 43rd edition, 2015
  • Stephen H. Friedberg Lawrence E Spence, Arnold J Insel, Elementary Linear Algebra: “A Matrix Approach Introduction to Linear Algebra”, Second Edition, 2019
  • David Lay, Steven Lay, Judi McDonald, “Linear Algebra and Its Applications, Pearson”, 2019
  • Gilbert Strang, “Introduction to Linear Algebra”, Fifth Edition, Wellesley-Cambridge Press, 2016
  • Mordechai Ben-Ari, “Mathematical Logic for Computer Science”, Third Edition, Springer, 2012
  • Narayanan, Ramaniah and Manicavachagom Pillay, “Advanced Engineering Mathematics”, Vol 2 and 3, Vishwanthan Publishers Pvt Ltd, 1998
  • Erwin Kreyszig, Advanced Engineering Mathematics, 5th edn., Wiley Eastern, 1985
Credits Structure
2Lecture
1Tutorial
0Practical
3Total