Course in Engineering Mathematics

B. M. Sreenivasaiah College of Engineering
In Bangalore

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Important information

  • Course
  • Bangalore
Description

Important information
Venues

Where and when

Starts Location
On request
Bangalore
P.O. Box No.: 1908 Bull Temple Road, 560019, Karnataka, India
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Course programme

Course in Engineering Mathematics

The department of Mathematics was started in 1946 at the inception of the college. The department received the able guidance of former professors namely Prof. S. K. Lakshmana Rao, Prof. Y. G. Krishna Swamy, Prof. N. Venkoba Rao, Prof. T. K. Puttaswamy, Dr. R. Parthasarathy, Prof. M. J. Narayana Iyengar, Dr. S. Subba Rao and Dr. H. Narasimha Murthy during the last sixty two years. The department teaches Engineering Mathematics curriculum for students of all Engineering disciplines and is also supporting to the teaching needs of MBA, MCA and M. Tech programs as and when the need arises. All the faculty of the department are provided with the computational facilities under the TEQIP. The faculty of the department are engaged in research work in the areas of theoretical fluid mechanics, Number Theory and Integral Transforms.

The department is one of the research centres recognised by the Visvesvaraya Technological University, Belgaum, for guiding students for Ph. D. degree. At present four students are working for Ph.D. degree in the department.

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Engineering Mathematics (Core subject for four semesters of BE program)
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Graph theory and Combinatorics for CSE & ISE
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Bio-statistics & Bio-modelling for students of BIO-TECHNOLOGY
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Probability, Statistics & Queuing - Elective for CSE/ISE
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Advanced Mathematics - Elective for EEE
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Operations Research - Elective for TCE
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Probability and Statistics for MBA
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Probability, Statistics & Queuing for MCA
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Discrete Mathematics & Boolean Algebra for MCA
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Computer Oriented Numerical Methods for MCA
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Complex Variables, Tensor Analysis & Partial differential Equations for M. Tech (Machine Design)
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Linear Algebra & Random processes for M. Tech (Digital Communication)
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Advanced Computational Techniques for M. Tech (Environmental Engineering)
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Linear and Non-linear Optimization for M. Tech. (Power Electronics)
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Applied Statistics for M. Tech. (Transportation)


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