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Engineering Science Course
More than 2 million students worldwide

Engineering Science Course

Master every foundational discipline of engineering science required for MPSI-level success. This course covers mathematics, mechanics, thermodynamics, fluid dynamics, circuits, and control systems in rigorous depth. Build the analytical toolkit that top engineering programmes demand and solve complex, multi-domain problems with confidence.

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What you will learn:

You will develop a complete command of engineering mathematics, including calculus, linear algebra, and coordinate geometry. You will apply Newton's laws, equilibrium principles, and structural analysis techniques to real mechanical systems. Thermodynamic cycles, heat transfer mechanisms, and fluid flow equations are covered in full technical detail. You will analyse DC and AC circuits, model dynamic systems, and design feedback controllers using Laplace methods. Numerical methods, materials science, instrumentation, and computational tools round out your preparation for advanced engineering practice.

How you study in practice Engineering Science Course

How you practise Engineering Science Course

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Course content

8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Engineering Mathematics

  • Lesson 1 • Functions and Graphical Analysis

    Defines functions, domains, and transformations essential for modelling physical systems. Connects algebraic expressions to geometric interpretation.

  • Lesson 2 • Trigonometry for Engineering

    Develops trigonometric identities and circular functions used in wave and force analysis. Provides tools for resolving vectors and periodic phenomena.

  • Lesson 3 • Coordinate Geometry and Vectors

    Introduces Cartesian and polar coordinates alongside vector algebra for spatial reasoning. Prepares students for mechanics and field analysis.

  • Lesson 4 • Algebraic Structures and Operations

    Covers sets, number systems, and algebraic laws underpinning all engineering calculations. Establishes symbolic manipulation skills used throughout the course.

Chapter 2See details

Calculus and Differential Analysis

  • Lesson 1 • Integration and the Fundamental Theorem

    Introduces definite and indefinite integrals and the fundamental theorem of calculus. Builds skills for computing areas, volumes, and accumulated quantities.

  • Lesson 2 • Limits and Continuity

    Defines limits rigorously and examines continuity conditions for engineering functions. Establishes the conceptual basis for differentiation and integration.

  • Lesson 3 • Applications of Derivatives

    Applies derivatives to optimisation, curve sketching, and related-rate problems in engineering. Links analytical results to physical interpretations.

  • Lesson 4 • Multivariable Calculus Essentials

    Extends calculus to functions of several variables, covering partial derivatives and multiple integrals. Supports analysis of fields and surfaces in engineering.

  • Lesson 5 • Differentiation Techniques

    Covers rules for computing derivatives of algebraic, trigonometric, and composite functions. Connects derivative concepts to slope, velocity, and optimisation.

Chapter 3See details

Linear Algebra and Matrix Methods

  • Lesson 1 • Determinants and Their Applications

    Covers determinant computation and its role in invertibility and geometric scaling. Connects determinants to system solvability and volume transformations.

  • Lesson 2 • Vector Spaces and Subspaces

    Introduces abstract vector spaces, bases, and dimension for engineering function spaces. Supports understanding of solution sets and transformation kernels.

  • Lesson 3 • Matrices and Linear Systems

    Defines matrix operations and methods for solving systems of linear equations. Provides the computational foundation for structural and circuit analysis.

  • Lesson 4 • Eigenvalues and Eigenvectors

    Derives eigenvalues and eigenvectors and applies them to diagonalisation and stability. Essential for vibration analysis and dynamic systems modelling.

Chapter 4See details

Classical Mechanics and Statics

  • Lesson 1 • Dynamics and Kinematics

    Extends statics to moving systems, covering kinematics of particles and rigid bodies. Introduces work-energy and impulse-momentum methods for dynamic analysis.

  • Lesson 2 • Centroids and Moments of Inertia

    Computes centroids and area second moments of area for standard and composite cross-sections. Provides data needed for beam bending and column buckling analysis.

  • Lesson 3 • Truss and Frame Analysis

    Analyses internal forces in trusses and frames using method of joints and sections. Builds structural analysis skills for bridge and roof design.

  • Lesson 4 • Equilibrium of Rigid Bodies

    Applies equilibrium conditions to determine unknown reactions in statically determinate systems. Connects force and moment balance to structural support design.

  • Lesson 5 • Newton's Laws and Force Systems

    Reviews Newton's three laws and applies them to particle and rigid-body force analysis. Establishes the framework for all subsequent mechanical analysis.

Chapter 5See details

Thermodynamics and Heat Transfer

  • Lesson 1 • Heat Transfer Mechanisms

    Covers conduction, convection, and radiation as the three modes of heat transfer. Applies Fourier's law and Newton's law of cooling to engineering design.

  • Lesson 2 • Thermodynamic Systems and Properties

    Defines thermodynamic systems, state variables, and equations of state for ideal and real gases. Provides vocabulary and framework for all thermodynamic analysis.

  • Lesson 3 • First Law of Thermodynamics

    Applies energy conservation to closed and open systems undergoing work and heat interactions. Connects internal energy changes to engineering process design.

  • Lesson 4 • Thermodynamic Cycles

    Analyses Rankine, Brayton, and refrigeration cycles for power and cooling applications. Develops skills for cycle optimisation and component sizing.

  • Lesson 5 • Second Law and Entropy

    Introduces entropy, irreversibility, and the Carnot cycle as limits on thermal efficiency. Guides students in evaluating real cycle performance against ideal benchmarks.

Chapter 6See details

Fluid Mechanics and Hydraulics

  • Lesson 1 • Bernoulli and Energy Equations

    Derives and applies Bernoulli's equation and the general energy equation to pipe and channel flows. Links pressure, velocity, and elevation in practical flow analysis.

  • Lesson 2 • Viscous Flow and Pipe Systems

    Analyses laminar and turbulent pipe flow, friction losses, and minor losses in piping networks. Applies Moody chart and Darcy-Weisbach equation to system design.

  • Lesson 3 • Fluid Kinematics

    Describes fluid motion using streamlines, velocity fields, and the continuity equation. Connects flow visualisation to conservation of mass in engineering systems.

  • Lesson 4 • Fluid Properties and Statics

    Defines fluid properties and applies hydrostatic principles to pressure distribution and buoyancy. Establishes the physical basis for fluid system design.

  • Lesson 5 • Momentum Equation and Applications

    Applies the linear momentum equation to control volumes for force analysis in nozzles and bends. Extends to angular momentum for turbomachinery analysis.

Chapter 7See details

Electrical Circuits and Electromagnetism

  • Lesson 1 • Capacitors, Inductors, and Transients

    Analyses energy storage elements and first- and second-order transient circuit responses. Connects time-domain behaviour to engineering control and signal applications.

  • Lesson 2 • Electromagnetic Field Principles

    Introduces electric and magnetic fields, Gauss's law, Faraday's law, and Maxwell's equations. Connects field theory to transformer, motor, and antenna operation.

  • Lesson 3 • AC Circuit Analysis

    Applies phasor methods and impedance to analyse sinusoidal steady-state AC circuits. Covers power factor and resonance for electrical system design.

  • Lesson 4 • Circuit Analysis Techniques

    Introduces node-voltage, mesh-current, and superposition methods for complex circuit analysis. Enables systematic solution of multi-source and multi-loop networks.

  • Lesson 5 • DC Circuit Fundamentals

    Covers Ohm's law, Kirchhoff's laws, and resistive network analysis for DC circuits. Provides the analytical foundation for all subsequent circuit work.

Chapter 8See details

Systems Modelling and Control

  • Lesson 1 • Time-Domain System Response

    Analyses first- and second-order system responses to step, ramp, and impulse inputs. Connects time-domain specifications to physical performance requirements.

  • Lesson 2 • Stability Analysis

    Applies Routh-Hurwitz criterion and root locus to assess and ensure closed-loop stability. Provides tools for identifying and correcting unstable system designs.

  • Lesson 3 • Laplace Transform Methods

    Applies the Laplace transform to convert differential equations into algebraic transfer functions. Enables frequency-domain analysis of system dynamics and stability.

  • Lesson 4 • Feedback Controller Design

    Designs proportional, integral, and derivative controllers to meet performance specifications. Applies compensation techniques to improve speed, accuracy, and stability.

  • Lesson 5 • Mathematical Modelling of Dynamic Systems

    Derives differential equation models for mechanical, electrical, and thermal systems. Establishes a unified modelling language for multi-domain engineering systems.

Certification

Your valid completion certificate

This course is for you:

  • Preparatory student: aiming for admission into a selective MPSI engineering track.

  • Gap-year graduate: rebuilding technical foundations before starting an engineering degree.

  • Career changer: moving from a non-technical field into an engineering discipline.

  • Working technician: seeking the analytical credentials to advance into engineering roles.

  • Returning student: refreshing forgotten science and math after years outside academia.

  • Self-taught enthusiast: filling structural gaps across physics, math, and circuit theory.

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