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Mathematics, Physics and Engineering Preparatory Course
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Mathematics, Physics and Engineering Preparatory Course

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This preparatory course gives you the mathematical and scientific foundation you need to succeed in engineering and physics programmes. From algebra and calculus to classical mechanics and circuit analysis, every topic is built for practical application. Stop struggling with gaps in your knowledge and start solving real problems with confidence.

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What you will learn:

You will build a complete foundation in algebra, trigonometry, calculus, vectors, and linear algebra before moving into classical mechanics, electricity, and magnetism. The course also covers thermodynamics, fluid mechanics, probability, and numerical methods. Each topic is taught with direct connections to engineering applications such as circuit analysis, structural loading, and dynamic systems. You will develop the problem-solving habits and technical communication skills that engineering programmes demand. By the end, you will have the quantitative tools and physical intuition required to enter any engineering or applied science curriculum fully prepared.

How you study in practice Mathematics, Physics and Engineering Preparatory Course

How you practise Mathematics, Physics and Engineering Preparatory Course

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Course content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Arithmetic and Algebra

  • Lesson 1 • Algebraic Expressions and Equations

    Introduces variables, expression simplification, and linear equation solving. Provides the symbolic reasoning tools needed for physics formulas and engineering models.

  • Lesson 2 • Polynomials and Rational Expressions

    Covers polynomial arithmetic, factoring techniques, and rational expression simplification. Prepares students for function analysis and algebraic manipulation in calculus.

  • Lesson 3 • Exponents, Radicals, and Logarithms

    Develops rules for powers, roots, and logarithmic operations. These tools appear directly in exponential growth models and decibel or pH calculations in applied science.

  • Lesson 4 • Systems of Equations and Inequalities

    Teaches substitution, elimination, and graphical methods for solving systems. Directly applicable to circuit analysis and equilibrium problems in engineering.

  • Lesson 5 • Number Systems and Properties

    Covers integers, rationals, irrationals, and real numbers with their operational properties. Establishes the numeric vocabulary required for every algebraic and analytic topic ahead.

Chapter 2See details

Functions, Graphs, and Coordinate Geometry

  • Lesson 1 • Exponential and Logarithmic Functions

    Examines growth, decay, and logarithmic models graphically and analytically. Prepares students for half-life, RC circuit, and signal attenuation problems.

  • Lesson 2 • Coordinate Plane and Basic Graphing

    Establishes the Cartesian coordinate system and techniques for plotting and interpreting graphs. Forms the visual language used throughout calculus and data analysis.

  • Lesson 3 • Function Concepts and Notation

    Defines functions formally, covering domain, range, and function notation. Builds the conceptual framework for calculus derivatives and integrals.

  • Lesson 4 • Transformations and Piecewise Functions

    Covers shifts, reflections, stretches, and piecewise-defined functions. Enables students to adapt standard models to real-world boundary conditions.

  • Lesson 5 • Polynomial and Rational Functions

    Analyses quadratic, cubic, and rational function behaviour including intercepts and asymptotes. Connects algebraic structure to graphical features used in engineering modelling.

Chapter 3See details

Trigonometry and Geometry Essentials

  • Lesson 1 • Trigonometric Identities and Equations

    Covers Pythagorean, sum, difference, and double-angle identities and their use in solving equations. Enables algebraic manipulation of wave and oscillation expressions.

  • Lesson 2 • Trigonometric Functions and Their Graphs

    Analyses amplitude, period, phase shift, and graphs of all six trig functions. Prepares students to model sinusoidal signals and mechanical vibrations.

  • Lesson 3 • Unit Circle and Radian Measure

    Extends trigonometry to all angles using the unit circle and radian notation. Essential for describing periodic phenomena such as oscillations and AC signals.

  • Lesson 4 • Right Triangle Trigonometry

    Defines sine, cosine, and tangent via right triangles and applies them to angle and side calculations. Directly used in resolving vectors and analysing inclined planes.

  • Lesson 5 • Angles, Triangles, and Basic Geometry

    Reviews angle types, triangle properties, and congruence and similarity rules. Provides the geometric intuition needed for force diagrams and spatial reasoning.

Chapter 4See details

Vectors and Introductory Linear Algebra

  • Lesson 1 • Dot Product and Cross Product

    Computes and interprets dot and cross products with geometric and physical meaning. Enables work calculations, torque analysis, and normal vector determination.

  • Lesson 2 • Matrices and Matrix Operations

    Introduces matrix notation, arithmetic, and the transpose operation. Provides the algebraic structure for representing and solving multi-variable engineering systems.

  • Lesson 3 • Vector Fundamentals in 2D and 3D

    Defines vectors geometrically and algebraically, covering addition, subtraction, and scalar multiplication. Establishes the language for describing forces, velocities, and fields.

  • Lesson 4 • Gaussian Elimination and Applications

    Applies row reduction to solve linear systems and interpret solution types. Directly used in nodal analysis of circuits and truss force calculations.

  • Lesson 5 • Determinants and Matrix Inverses

    Computes determinants and inverses for 2x2 and 3x3 matrices. These quantities determine system solvability and appear in transformation and stability analyses.

Chapter 5See details

Calculus I: Limits, Derivatives, and Applications

  • Lesson 1 • Chain Rule and Implicit Differentiation

    Extends differentiation to composite and implicitly defined functions. Enables differentiation of complex physical relationships such as pressure-volume equations.

  • Lesson 2 • Derivative Definition and Basic Rules

    Derives the derivative from the limit definition and introduces power, product, and quotient rules. Provides the core differentiation toolkit for physics and engineering formulas.

  • Lesson 3 • Optimisation and Applied Derivatives

    Solves real-world maximum and minimum problems using calculus. Applies directly to minimising material cost, maximising efficiency, and analysing velocity and acceleration.

  • Lesson 4 • Curve Analysis Using Derivatives

    Uses first and second derivatives to determine increasing/decreasing behaviour, concavity, and extrema. Connects calculus to graphing and structural load optimisation.

  • Lesson 5 • Limits and Continuity

    Defines limits analytically and graphically, including one-sided and infinite limits. Establishes the rigorous foundation on which derivatives and integrals are built.

Chapter 6See details

Calculus II: Integration and Differential Equations

  • Lesson 1 • Integration Techniques

    Covers substitution, integration by parts, and partial fractions. Expands the range of integrals solvable in thermodynamic work and signal processing problems.

  • Lesson 2 • Introductory Differential Equations

    Solves separable and first-order linear ODEs with initial conditions. Models exponential decay, Newton's cooling, and RC circuit charging directly.

  • Lesson 3 • Applications of Integration

    Applies integrals to area, volume, arc length, and physical quantities such as work and centre of mass. Bridges pure calculus to mechanical and civil engineering calculations.

  • Lesson 4 • Definite Integrals and the Fundamental Theorem

    Defines the definite integral via Riemann sums and applies the Fundamental Theorem of Calculus. Connects area under a curve to accumulated physical quantities.

  • Lesson 5 • Antiderivatives and Indefinite Integrals

    Introduces antidifferentiation and the indefinite integral with standard formulas. Establishes the reverse process of differentiation needed for all integration applications.

Chapter 7See details

Classical Mechanics and Dynamics

  • Lesson 1 • Work, Energy, and Power

    Defines work, kinetic and potential energy, and the work-energy theorem. Connects energy methods to efficiency calculations and mechanical system design.

  • Lesson 2 • Momentum and Collisions

    Covers linear momentum, impulse, and conservation laws for elastic and inelastic collisions. Applied to impact analysis, rocket propulsion, and safety engineering.

  • Lesson 3 • Newton's Laws and Force Analysis

    Applies Newton's three laws to free-body diagrams and net force calculations. Enables systematic analysis of static and dynamic loading in mechanical structures.

  • Lesson 4 • Rotational Motion and Torque

    Extends kinematics and Newton's laws to rotating bodies using angular quantities and torque. Essential for gear, shaft, and motor analysis in mechanical engineering.

  • Lesson 5 • Kinematics in One and Two Dimensions

    Describes position, velocity, and acceleration using calculus and vector components. Provides the motion description framework for all subsequent dynamics and design problems.

Chapter 8See details

Electricity, Magnetism, and Circuit Fundamentals

  • Lesson 1 • AC Circuits and Impedance

    Analyses sinusoidal sources, phasors, and impedance in RLC circuits. Prepares students for power factor correction, resonance, and frequency-domain circuit design.

  • Lesson 2 • DC Circuit Analysis

    Applies Ohm's law and Kirchhoff's laws to analyse resistive DC circuits. Enables systematic solution of multi-loop networks found in electronic and power systems.

  • Lesson 3 • Capacitors and Inductors

    Analyses energy storage in capacitors and inductors and their transient behaviour in RC and RL circuits. Directly applicable to filter design and power supply analysis.

  • Lesson 4 • Magnetic Fields and Electromagnetic Induction

    Covers magnetic force on charges and currents, and Faraday's and Lenz's laws of induction. Underpins transformer, motor, and generator operation in electrical engineering.

  • Lesson 5 • Electric Charge, Fields, and Potential

    Introduces Coulomb's law, electric field vectors, and electric potential energy. Provides the field theory foundation for capacitor and semiconductor device analysis.

Certification

Your valid completion certificate

This course is for you:

  • High school graduate: preparing to enter a university engineering program.

  • Working technician: seeking credentials to move into an engineering role.

  • Career changer: transitioning from a non-technical field into applied sciences.

  • College student: struggling with first-year physics or math coursework gaps.

  • Hobbyist maker: wanting rigorous theory behind electronics and mechanical builds.

  • Military veteran: translating hands-on technical experience into formal engineering study.

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