
Course Summary: Engineering Mathematics
Course Description:
Engineering Mathematics is a foundational course designed to equip students with the mathematical tools and analytical techniques necessary for solving engineering problems. It includes a study of advanced calculus, linear algebra, differential equations, complex analysis, and numerical methods, with applications in various engineering fields.
Course Objectives:
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To develop the ability to model physical systems using mathematical concepts.
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To provide a strong foundation in calculus, algebra, and differential equations.
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To introduce numerical and analytical methods for problem-solving.
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To enhance logical reasoning and mathematical thinking skills.
Major Topics Covered:
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Linear Algebra:
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Matrices and determinants
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Systems of linear equations
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Eigenvalues and eigenvectors
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Vector spaces
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Calculus:
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Limits, continuity, and differentiability
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Partial differentiation and applications
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Multiple integrals and their applications
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Vector calculus (gradient, divergence, curl, line and surface integrals)
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Differential Equations:
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First and second-order ordinary differential equations (ODEs)
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Solutions of linear differential equations
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Applications in physical and engineering systems
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Laplace transforms and their applications
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Complex Numbers and Complex Analysis:
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Complex functions
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Analytic functions
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Cauchyβs theorem and integral formula
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Taylor and Laurent series
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Residue theorem
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Numerical Methods:
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Solutions of nonlinear equations
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Numerical integration and differentiation
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Numerical solutions to ODEs
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Interpolation and curve fitting
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Probability and Statistics (optional/extended):
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Probability distributions
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Descriptive statistics
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Hypothesis testing
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Regression and correlation
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Learning Outcomes:
By the end of the course, students should be able to:
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Apply mathematical methods to analyze engineering systems.
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Solve differential equations relevant to mechanical, electrical, and civil engineering.
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Use linear algebra in systems modeling and control.
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Implement numerical methods for engineering simulations.
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Interpret and analyze data using probability and statistics (if included)
- Teacher: DENNIS LAIBUNI