MATHEMATICS: Western University

MATH0110: Introductory Calculus

Description

“Elementary techniques of integration; applications of Calculus such as area, volume, probability; functions of several variables, Lagrange multipliers. This course is intended primarily for students in the Social Sciences, but may meet minimum requirements for some Biological or Basic Medical Sciences modules. It may not be used as a prerequisite for any Calculus course numbered 1300 or above.”

Q: \(f(x) = \begin{cases} 3x^2, & \text{if }x \leq -1 \\ 1 - 2x, & \text{if }-1 < x < 0 \\ x + 2, & \text{if }x \geq 0\end{cases}\). Find \(\displaystyle \lim_{x \to 0^+} f(x)\) if it exists.
  (a) \(4\)
  (b) \(1\)
  (c) \(DNE\)
  (d) \(3\)
  (e) \(2\)
            

Sections

  • 1.4 Straight Lines
  • 2.1/2.2 Functions
  • 2.4 Limits
  • 2.5 One-Sided Limits and Continuity
  • 2.6 The Derivative
  • 3.1 Basic Rules of Differentiation
  • 3.2 Product and Quotient Rules
  • 3.3 The Chain Rule
  • 3.5 Higher-Order Derivatives
  • 3.6 Implicit Differentiation and Related Rates
  • 3.7 Differentials
  • 4.1/4.2 Applications of Derivatives
  • 4.3 Curve Sketching
  • 4.4 Optimization (Extrema of a Function)
  • 5.1/5.2 Exponential and Logarithmic Functions
  • 5.3/5.4 Differentiation of Exponential and Logarithmic Functions

MATH1225: Methods of Calculus

Description

“Introduction to differential calculus including limits, continuity, definition of derivative, rules for differentiation, implicit differentiation, velocity, acceleration, related rates, maxima and minima, exponential functions, logarithmic functions, differentiation of exponential and logarithmic functions, curve sketching.”

Q: Find \(\displaystyle \int \dfrac{4x^3 - 2}{x^4 - 2x + 1}\, dx \)
  (a) \((x^4 -2x)\ln|x^4 - 2x + 1| + C\)
  (b) \( \ln|x^4 - 2x + 1| + C\)
  (c) \(\dfrac{x^4 - 2x}{\frac{1}{5}x^5 - x^2 + x} + C\)
  (d) \( \ln|\frac{1}{5}x^5 - x^2 + x| + C\)
  (e) \(4\ln|x| - \ln|x - 1| + C\)
            

Sections

  • 5.1 Exponential Functions
  • 5.2 Logarithmic Functions
  • 5.3 Derivatives of Exponential Functions
  • 5.4 Derivatives of Logarithmic Functions
  • 6.2 Trigonometric Identities
  • 6.4 Derivatives of Trigonometric Functions
  • 8.1 Basic Integration Rules
  • 8.2 Integration by Substitution
  • 8.4/8.5 Definite Integrals
  • *5.1 Area Between Curves
  • *5.2 Volumes
  • 9.1 Integration by Parts
  • 9.2 Integration by Partial Fractions
  • 9.5 Improper Integrals
  • 10.1 Functions of Several Variables
  • 10.2 Partial Derivatives
  • 10.3 Maximum and Minimum Values
  • 10.5 Lagrange Multipliers
  • 7.1 Separable Differential Equations
  • 7.4 First Order Differential Equations

MATH1228: Methods of Finite Mathematics

Description

“Permutations and combinations; probability theory. This course is intended primarily for students in the Social Sciences, but may meet minimum requirements for some Biological or Basic Medical Sciences modules.”

Q: Let the universal set be \(U = \{1, 2, 3, 4, 5, 6, 7, 8\}\). If \(F = \{1, 3, 6, 8\}\) and \(G = \{2, 3, 6, 8\}\).
Find \(F \cap G\).
  (a) \(\{3, 6, 8\}\)
  (b) \(\{1, 2, 4\}\)
  (c) \(\{1, 2, 4, 5\}\)
  (d) \(\{1, 4, 5\}\)
  (e) \(\{ 1 \}\)
           

Sections

  • 1.1 Basic Set Theory
  • 1.2 Tree Diagrams
  • 1.3 Fundamental Counting Principle
  • 1.4 Permutations
  • 1.5 Combinations
  • 1.6 Labelling Problems
  • 1.7 Identical Objects
  • 2.1 Sample Spaces and Events
  • 2.2 Properties of Probability
  • 2.3 Equiprobable Sample Spaces
  • 2.4 Conditional Probability
  • 2.5 Stochastic Process
  • 2.6 Bayes' Theorem
  • 2.7 Independent Trials
  • 3.1 Probability Distributions
  • 3.2 Binomial Distribution
  • 3.3 Mean and Standard Deviation
  • 3.4 Independent Random Variables
  • 4.1 Probability Density Functions
  • 4.2 The Standard Normal Random Variable
  • 4.3 Normal Random Variable
  • 4.4 Approximating the Binomial Distribution

MATH1229: Methods of Metrics Algebra

Description

“Matrix algebra including vectors and matrices, linear equations, determinants. This course is intended primarily for students in the Social Sciences, but may meet minimum requirements for some Biological or Basic Medical Sciences modules. ”

Q: Let \(\left[\begin{array}{ccc|c}1&0&3&1\\0&1&0&1\end{array}\right]\) be the argumented matrix for a system of linear equations. The solution to this system of equations is:
  (a) \((0, t, 3)\)
  (b) \((1 + 3t, 1, t)\)
  (c) \((1 - 3t, 1, t)\)
  (d) \((1- 3t, 0, t)\)
  (e) \((1 - 3t, t, 1)\)
            

Sections

  • 1.1 Introduction to Vectors
  • 1.2 Vector Operations
  • 1.3 Lines and Planes
  • 2.1 Vectors in Higher Dimensions
  • 2.2/2.3 Matrices, Systems of Equations and Row Reduction
  • 3.1 Matrix Operations
  • 3.2 Inverse Matrices
  • 3.3 Theory of Linear Systems
  • 4.1 Determinants
  • 4.2 Determinant Rules
  • 4.3 Adjoint Matrices and Cramer’s Rule

MATH 1600: Linear Algebra I

Description

“Properties and applications of vectors; matrix algebra; solving systems of linear equations; determinants; vector spaces; orthogonality; eigenvalues and eigenvectors.”

Sections

  • 1.1 The Geometry and Algebra of Vectors
  • 1.2 Length and Angle
  • 1.3 Lines and Planes
  • 1.5 Derivatives of Logarithmic Functions
  • 2.1 Introduction to Systems of Linear Equations
  • 2.2 Direct Methods for Solving Linear Systems
  • 2.3 Spanning Sets and Linear Independence
  • 2.4 Applications: Network Analsysis
  • 3.1 Matrix Operations
  • 3.2 Matrix Algebra
  • 3.3 The Inverse of a Matrix
  • 3.5 Subspaces, Basis, Dimension, and Rank
  • 3.6 Introduction to Linear Transformations
  • 4.1 Introduction to Eigenvalues and Eigenvectors
  • 4.2 Determinants
  • 4.3 Eigenvalues and Eigenvectors of nxn Matrices
  • 4.4 Similarity and Diagonalization
  • 5.1 Orthogonality
  • 5.2 Orthogonal Complements and Orthogonal Projections
  • 5.3 The Gram-Schmidt Process
  • 5.4 Orthogonal Diagonalization of Symmetric Metrices

CALC 1000: Calculus I

Description

“Review of limits and derivatives of exponential, logarithmic and rational functions. Trigonometric functions and their inverses. The derivatives of the trig functions and their inverses. L'Hospital's rules. The definite integral. Fundamental theorem of Calculus. Simple substitution. Applications including areas of regions and volumes of solids of revolution.”

Sections

  • 1.5 Exponential Functions
  • Appendix D Trigonometry
  • 2.2/2.3 Limits
  • 2.5 Continuity
  • 2.6 Limits at Infinity; Horizontal Asymptotes
  • 2.7 Derivatives and Rates of Change
  • 3.1 Derivatives of Polynomials and Exponential Functions
  • 3.2 The Product and Quotient Rule
  • 3.3 Derivatives of trigonometric Functions
  • 3.4 The Chain Rule
  • 3.5 Implicit Differentiation
  • 3.6 Derivatives of Logarithmic Functions
  • 4.4 L'Hospital's Rule
  • 4.9 Antiderivatives
  • 5.1 Areas and Distances
  • 5.2 The Definite Integral
  • 5.3 The Fundamental Theorem of Calculus
  • 5.4 Indefinite Integrals
  • 5.5 The Substitution Rule
  • 6.1 Areas Between Curves
  • 6.2 Volumes
  • 6.3 Volumes by Cylindrical Shells

CALC 1301: Calculus II

Description

“Integration by parts, partial fractions, geometric series, harmonic series, Taylor series with applications, arc length of parametric and polar curves, first order linear and separable differential equations with applications. ”

Sections

  • 7.1 Integration by Parts
  • 7.2 Trigonometric Integrals
  • 7.3 Trigonometric Substitution
  • 7.4 Integration of Rational Functions by Partial Fractions
  • 7.5 Strategies for Integration
  • 7.8 Improper Integrals
  • 11.1 Sequences
  • 11.2 Series
  • 11.3 The Integral Test and Estimates of Sums
  • 11.4 The Comparison Tests
  • 11.5 Alternating Series
  • 11.6 Absolute Convergence and the Ratio and Root Tests
  • 11.7 Strategy for Testing Series
  • 11.8 Power Series
  • 11.9 Representations of Functions as Power Series
  • 11.10 Taylor and Maclaurin Series
  • 8.1 Arc Length
  • 10.1 Curves Defined by Parametric Equations
  • 10.2 Calculus with Parametric Curves
  • 10.3 Polar Coordinates
  • 10.4 Areas and Lengths in Polar Coordinates
  • 9.1 Modeling with Differential Equations
  • 9.3 Separable Equations
  • 9.5 Linear Equations

CALC 1501: Calculus II for Mathematical and Physical Sciences

Description

“This course should be taken by students who intend to pursue a degree in Actuarial Science, Applied Mathematics, Astronomy, Mathematics, Physics, or Statistics. The course will cover: The Mean Value Theorem and its consequences; Techniques of integration; Series; Taylor series with applications; Parametric and polar curves with applications; First order linear and separable differential equations with applications. ”

Sections

  • 2.4 The Precise Definition of Limits
  • 2.5 Continuity
  • 2.7 Derivatives and Rates of Change
  • 2.8 The Derivative as a Function
  • 4.4 Indeterminate Forms and L'Hospital's Rule
  • 7.1 Integration by Parts
  • 7.4 Integration of Rational Functions by Partial Fractions
  • 7.8 Improper Integrals
  • 11.1 Sequences
  • 11.2 Series
  • 11.3 The Integral Test and Estimates of Sums
  • 11.4 The Comparison Tests
  • 11.5 Alternating Series
  • 11.6 Absolute Convergence and the Ratio and Root Tests
  • 11.7 Strategy for Testing Series
  • 11.8 Power Series
  • 11.9 Representations of Functions as Power Series
  • 11.10 Taylor and Maclaurin Series
  • 11.11 Application of Taylor Polynomials
  • 9.1 Modeling with Differential Equations
  • 9.3 Separable Equations
  • 9.5 Linear Equations
  • 8.1 Arc Length
  • 10.1 Curves Defined by Parametric Equations
  • 10.2 Calculus with Parametric Curves
  • 10.3 Polar Coordinates
  • 10.4 Areas and Lengths in Polar Coordinates

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E-mail: rbahati@bahatiacademy.com

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