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Courses
Mathematics - iii (Differential Calculus) - Vol 4
This course focuses on advanced mathematical concepts such as Laplace transforms, Fourier series, partial differential equations, and complex analysis. It equips students with analytical tools essential for solving real-world engineering and computational problems
Mathematics - iii (Differential Calculus) - Vol 3
This course focuses on advanced mathematical concepts such as Laplace transforms, Fourier series, partial differential equations, and complex analysis. It equips students with analytical tools essential for solving real-world engineering and computational problems.
Mathematics - iii (Differential Calculus) - Vol 2
This course focuses on advanced mathematical concepts such as Laplace transforms, Fourier series, partial differential equations, and complex analysis. It equips students with analytical tools essential for solving real-world engineering and computational problems.
Mathematics (Civil Engineering -1)
Civil engineering, a field that focuses on the design, construction, and maintenance of the built and natural environment, relies heavily on a strong foundation in mathematics. It’s the language that allows engineers to model, analyze, and predict the behavior of complex systems and structures
Discrete Mathematics - Vol 3
Discrete mathematics is the study of mathematical structures that are fundamentally countable or distinct, as opposed to continuous. It forms the foundation for computer science and is crucial for understanding algorithms, data structures, and computational logic
Discrete Mathematics - Vol 2
Discrete mathematics is the study of mathematical structures that are fundamentally countable or distinct, as opposed to continuous. It forms the foundation for computer science and is crucial for understanding algorithms, data structures, and computational logic
Discrete Mathematics - Vol 1
Discrete mathematics is the study of mathematical structures that are fundamentally countable or distinct, as opposed to continuous. It forms the foundation for computer science and is crucial for understanding algorithms, data structures, and computational logic
Mathematics - iii (Differential Calculus) - Vol 1
This course focuses on advanced mathematical concepts such as Laplace transforms, Fourier series, partial differential equations, and complex analysis. It equips students with analytical tools essential for solving real-world engineering and computational problems.
Mathematics III (PDE, Probability & Statistics)
This course equips engineering students with essential mathematical tools for modeling and analyzing complex physical systems. It is divided into three core modules: Partial Differential Equations (PDEs): Students learn to formulate and solve first and second-order PDEs, classify them, and apply methods such as D’Alembert’s solution, Duhamel’s principle, and separation of variables. Applications include heat conduction, wave propagation, and vibrational problems in mechanical and thermal systems. Probability Theory: This section introduces foundational concepts like random variables, probability distributions, expectation, and moments. It also covers key discrete and continuous distributions relevant to real-world data modeling. Statistics: Focused on data interpretation, students explore sampling, estimation, hypothesis testing, correlation, and regression analysis—crucial for engineering applications involving uncertainty and decision-making under variability. Together, these modules provide the analytical backbone needed for advanced subjects in fluid dynamics, thermodynamics, signal processing, and beyond.
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