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Calculus I, II and III Course
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Calculus I, II and III Course

Master the complete calculus sequence — Calculus I, II, and III — in one comprehensive course built for students who want real mathematical fluency. From limits and derivatives to multivariable functions and vector theorems, every core topic is covered with precision and depth. This is the calculus education that engineering, physics, and mathematics programs demand.

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What you will learn:

Build a calculus foundation, starting with limits, continuity, and differentiation before moving to integration techniques and their applications. Cover advanced integration methods such as integration by parts, partial fractions, and improper integrals. Analyze sequences and series, construct Taylor and Maclaurin expansions, and test convergence. Calculus III includes partial derivatives, gradient vectors, double and triple integrals, and major vector calculus theorems. Supplementary topics cover differential equations, numerical methods, parametric equations, and polar coordinates. By course end you will have the problem‑solving skills and theoretical understanding to succeed in any calculus‑intensive academic or professional program.

How you study in practice Calculus I, II and III Course

How you practise Calculus I, II and III Course

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Course Content

8 Chapters • 36 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Functions and Limits

  • Lesson 1 • Understanding Limits Intuitively

    Introduces the limit concept through tables, graphs, and informal definitions. Connects intuitive understanding to formal notation.

  • Lesson 2 • Review of Functions and Graphs

    Covers domain, range, function notation, and graph transformations. Establishes the language used throughout all three calculus courses.

  • Lesson 3 • Continuity and Its Consequences

    Defines continuity formally and identifies types of discontinuities. Introduces the Intermediate Value Theorem as a key theoretical result.

  • Lesson 4 • Computing Limits Analytically

    Teaches algebraic techniques for exact limit evaluation. Provides tools needed before derivatives can be defined.

Chapter 2See details

Differentiation: Concepts and Rules

  • Lesson 1 • Implicit Differentiation and Related Rates

    Differentiates implicitly defined curves and applies derivatives to dynamic geometric problems. Bridges algebraic and applied differentiation.

  • Lesson 2 • Product, Quotient, and Chain Rules

    Extends differentiation to products, quotients, and compositions of functions. Enables differentiation of virtually all elementary expressions.

  • Lesson 3 • The Derivative as a Rate of Change

    Defines the derivative via the limit of a difference quotient. Links instantaneous rate of change to slope of the tangent line.

  • Lesson 4 • Derivatives of Transcendental Functions

    Covers derivatives of exponential, logarithmic, and all trigonometric functions. Completes the toolkit for Calculus I differentiation.

  • Lesson 5 • Basic Differentiation Rules

    Introduces power, constant, sum, and difference rules for rapid differentiation. Forms the computational core of Calculus I.

Chapter 3See details

Applications of Differentiation

  • Lesson 1 • Extreme Values and Critical Points

    Identifies local and global extrema using the first derivative. Introduces the Extreme Value Theorem for closed intervals.

  • Lesson 2 • Optimization Problems

    Translates real-world constraints into objective functions and finds optimal values. Demonstrates calculus as a practical decision-making tool.

  • Lesson 3 • Linear Approximation and Differentials

    Uses tangent lines to approximate function values and quantify error. Prepares students for numerical methods and error analysis.

  • Lesson 4 • Curve Sketching and Graph Analysis

    Synthesizes limits, continuity, and derivative information into accurate sketches. Develops systematic graph analysis as a professional skill.

  • Lesson 5 • Concavity and the Second Derivative

    Uses the second derivative to determine concavity and inflection points. Enables complete qualitative analysis of function graphs.

Chapter 4See details

Integration: Concepts and Techniques

  • Lesson 1 • Antiderivatives and Indefinite Integrals

    Defines antidifferentiation and builds the basic integral table. Establishes notation and the constant of integration.

  • Lesson 2 • Integration by Substitution

    Applies the chain rule in reverse to evaluate composite integrands. Extends the range of integrable functions significantly.

  • Lesson 3 • The Fundamental Theorem of Calculus

    Proves and applies both parts of the Fundamental Theorem. Unifies differentiation and integration as inverse processes.

  • Lesson 4 • Riemann Sums and the Definite Integral

    Constructs the definite integral as a limit of Riemann sums. Connects area under a curve to the formal integral definition.

Chapter 5See details

Applications of Integration

  • Lesson 1 • Physical Applications of Integration

    Applies integrals to work, fluid pressure, and center of mass problems. Demonstrates integration as a universal accumulation tool.

  • Lesson 2 • Volumes of Solids of Revolution

    Generates volumes by rotating plane regions using disk, washer, and shell methods. Develops three-dimensional geometric reasoning.

  • Lesson 3 • Arc Length and Surface Area

    Derives and applies formulas for curve length and surface area of revolution. Extends integration to geometric measurement beyond area.

  • Lesson 4 • Area Between Curves

    Computes area enclosed between two functions using definite integrals. Requires careful identification of intersection points and integrand setup.

Chapter 6See details

Advanced Integration Techniques

  • Lesson 1 • Partial Fraction Decomposition

    Decomposes rational functions into simpler fractions for integration. Covers distinct, repeated, and irreducible quadratic factors.

  • Lesson 2 • Improper Integrals

    Extends integration to unbounded intervals and discontinuous integrands using limits. Introduces convergence and divergence of integrals.

  • Lesson 3 • Integration by Parts

    Applies the product rule in reverse to integrate products of functions. Introduces the LIATE heuristic for choosing factors.

  • Lesson 4 • Trigonometric Integrals and Substitution

    Evaluates integrals involving powers of trig functions and radical expressions. Builds on substitution and trig identities from earlier chapters.

Chapter 7See details

Sequences, Series, and Convergence

  • Lesson 1 • Power Series and Radius of Convergence

    Represents functions as power series and determines intervals of convergence. Prepares students for Taylor series construction.

  • Lesson 2 • Alternating Series and Absolute Convergence

    Analyzes alternating series and distinguishes absolute from conditional convergence. Completes the convergence test toolkit.

  • Lesson 3 • Sequences and Their Limits

    Defines sequences formally and determines convergence using limit techniques. Establishes the foundation for series analysis.

  • Lesson 4 • Infinite Series and Convergence Tests

    Introduces partial sums and applies divergence, integral, comparison, and ratio tests. Provides a systematic toolkit for determining series behavior.

  • Lesson 5 • Taylor and Maclaurin Series

    Constructs Taylor and Maclaurin series and estimates error with the remainder theorem. Enables function approximation and advanced analysis.

Chapter 8See details

Multivariable Calculus and Vector Analysis

  • Lesson 1 • Multiple Integrals

    Evaluates double and triple integrals in Cartesian, polar, cylindrical, and spherical coordinates. Computes volume, mass, and center of mass in 3D.

  • Lesson 2 • Partial Derivatives and Gradient

    Defines partial derivatives and the gradient vector for multivariable functions. Connects single-variable differentiation to higher dimensions.

  • Lesson 3 • Vector Fields and Integral Theorems

    Introduces line integrals, surface integrals, and the major theorems of vector calculus. Unifies the course with Green's, Stokes', and Divergence theorems.

  • Lesson 4 • Optimization of Multivariable Functions

    Finds critical points and classifies extrema using the second derivative test. Applies Lagrange multipliers for constrained optimization.

  • Lesson 5 • Vectors, Lines, and Planes in 3D

    Introduces three-dimensional coordinate geometry, vector operations, and equations of lines and planes. Provides the geometric language for Calculus III.

Certification

Your valid completion certificate

This course is for you:

  • Undergraduate STEM student: needs to pass all three calculus courses in sequence.

  • Career-changing professional: moving into engineering or data science from a non-technical field.

  • Pre-med or physics student: requires strong calculus fluency for advanced science coursework.

  • Self-taught programmer: wants the mathematical foundation behind machine learning algorithms.

  • Returning adult learner: rebuilding forgotten math skills to complete a deferred degree.

  • High school graduate: preparing rigorously for a calculus-heavy university curriculum ahead.

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