Lesson 1Complex numbers: algebra, polar form, Euler's formula, roots and basic complex equationsWe go look back complex numbers as extension of di real line. Students go work wid algebraic operations, polar and exponential forms, Euler’s formula, roots of complex numbers, and simple complex equations wey relate to oscillatory systems.
Algebra of complex numbersModulus, argument, and conjugatePolar and exponential formsEuler’s formula and rotationsRoots and basic complex equationsLesson 2Functions and their properties: polynomial, rational, exponential, logarithmic, and piecewise definitionsDis section go review main function families wey dem use for modelling. We go analyse polynomial, rational, exponential, logarithmic, and piecewise functions, focusing on domains, ranges, graphs, transformations, and inverse relationships.
Domain and range analysisPolynomial and rational graphsExponential growth and decayLogarithmic functions and inversesPiecewise and step functionsLesson 3Probability and statistics basics: probability rules, discrete and continuous distributions, expected value, variance, combinatorics basicsWe go introduce probability and statistics tools for engineering data. Students go learn probability rules, combinatorial counting, discrete and continuous distributions, expected value, variance, and how to read basic statistical summaries.
Sample spaces and eventsAddition and multiplication rulesCombinatorics and counting methodsDiscrete and continuous variablesExpectation, variance, and spreadLesson 4Sequences and series: convergence tests, Taylor and Maclaurin series, power series representation and radius of convergenceDis section cover sequences and infinite series, wid focus on convergence. We go test series using standard methods, build power series, compute Taylor and Maclaurin expansions, and find radius and interval of convergence.
Limits of sequences and behaviorSeries convergence conceptsComparison and ratio testsPower series and convergence radiusTaylor and Maclaurin seriesLesson 5Limits and continuity: limit laws, indeterminate forms, L'Hôpital's rule, limits at infinityWe go make limits and continuity proper to support serious calculus. Students go use limit laws, check one-sided limits, handle indeterminate forms, apply L’Hôpital’s rule, and study limits at infinity plus asymptotic behaviour of functions.
Limit laws and computationsOne-sided limits and continuityRemovable and jump discontinuitiesIndeterminate forms and algebraic tricksL’Hôpital’s rule and limits at infinityLesson 6Applications of integrals: area, volume by revolution, work, accumulation problems, average valueWe go study how definite integrals model built-up quantities in engineering. Topics include geometric area, volumes of revolution, work by changing forces, average values, and reading integral expressions in real problems.
Area between curves and axesVolumes by disks and washersShell method for volumesWork by variable forcesAverage value of a functionLesson 7Euclidean geometry and trigonometry: triangle properties, circle theorems, trigonometric identities, solving trig equationsDis section go revisit Euclidean geometry and trigonometry for exam use. We go study triangle congruence, circle theorems, radian measure, trigonometric identities, inverse trig functions, and solving trigonometric equations.
Triangle congruence and similarityCircle theorems and chordsRadian measure and arc lengthCore trigonometric identitiesSolving trigonometric equationsLesson 8Applications of derivatives: optimization, curve sketching, related rates, linearization and approximationsWe go use derivatives to analyse and approximate functions. Topics include optimization in one variable, curve sketching wid first and second derivatives, related rates, linearization, and differential approximations for estimates.
Critical points and extremaFirst and second derivative testsCurve sketching strategiesRelated rates word problemsLinearization and differentialsLesson 9Differential calculus: derivative rules, implicit differentiation, higher-order derivatives, mean value theoremWe go build differential calculus as tool for rate-of-change. Students go learn derivative rules, chain and implicit differentiation, higher-order derivatives, and di Mean Value Theorem, wid emphasis on symbolic skills and meanings.
Limit definition of derivativeBasic derivative rulesChain rule applicationsImplicit differentiation methodsHigher derivatives and MVTLesson 10Linear algebra essentials: systems of linear equations, matrices, determinants, eigenvalues (basic concepts relevant to modeling)Dis section introduce linear algebra tools wey dem use in modelling. We go solve linear systems, work matrices, compute determinants, and read eigenvalues and eigenvectors in simple mechanical, electrical, and population models.
Gaussian elimination methodsMatrix operations and inversesDeterminants and Cramer’s ruleEigenvalues and eigenvectors basicsLinear models and applicationsLesson 11Integral calculus: antiderivatives, definite integrals, Fundamental Theorem of Calculus, substitution and integration by partsDis section focus on finding antiderivatives and definite integrals. We go use di Fundamental Theorem of Calculus, substitution, and integration by parts, and read integrals as signed area and built-up change.
Antiderivatives and familiesDefinite integrals as areaFundamental Theorem of CalculusSubstitution and change of variableIntegration by parts strategiesLesson 12Vectors and analytic geometry: vector operations, dot and cross product, lines and planes in 3D, coordinate transformationsDis section build three-dimensional analytic geometry using vectors. We go practise vector operations, dot and cross products, equations of lines and planes, distances, projections, and basic coordinate changes between frames.
Vector addition and scalar multiplicationDot product and projectionsCross product and geometryLines and planes in 3D spaceCoordinate changes and rotations
