Loyola University Chicago

Mathematics and Statistics

Course Syllabi

Common Syllabi for Mathematics Courses

All sections for any course offered in the calculus & pre-calculus sequence share a common syllabus, listed below.

Common Syllabus for MATH 100

Chapter 1: Basic Concepts [1.5 Weeks] 
   • Real numbers
   • Order of operations
   • Exponents
   • Scientific notation

Chapter 2: Equations and Inequalities [2.5 Weeks]
   • Solving linear equations
   • Story problems including (rate)(time)=distance and mixture problems
   • Solving linear inequalities
   • Solving equations and inequalities containing absolute values

Chapter 3: Graphs and Functions [2.5 Weeks]
   • Graphs, Functions
   • Linear Functions, Graphs and story problems
   • Slope-intercept form of a linear equation
   • Point-slope form of a linear equation
   • Algebra of functions

Chapter 4: Systems of Equations and Inequalities [1 Week] 
   • Solving systems of linear equations in two variables by substitution and by elimination
   • Story problems

Chapter 5: Polynomials and Polynomial Functions [3 Weeks] 
   • Addition, subtraction and multiplication of polynomials
   • Division of polynomials (not including synthetic division)
   • Remainder theorem
   • Factoring methods (as time permits)

Chapter 6: Rational Expressions and Equations [1.5 Weeks] 
   • Domains, addition, subtraction, multiplication and division of rational expressions
   • Work and rate story problems

Chapter 7: Radicals and Complex Numbers [2 Weeks] 
   • Roots and radicals, rational exponents
   • Simplifying radicals
   • Adding, subtracting and multiplying radicals (as time permits)
   • Rationalizing denominators

Sample Syllabus for MATH 108

Part I - Management Science

Chapter 1: Urban Services [0.5 Weeks] 
Euler Circuits, Finding Euler Circuits, Circuits with Reused Edges

Chapter 2: Business Efficiency [1 Week] 
Hamiltonian Circuits, Fundamental Principle of Counting, Traveling Salesman Problem, Strategies for Solution, Nearest-Neighbor Algorithm, Sorted-Edges Algorithm, Minimum-Cost Spanning Trees, Kruskal's Algorithm

Chapter 3: Planning and Scheduling [1 Week] 
Scheduling Tasks, Assumptions and Goals, List-Processing Algorithm, When is a Schedule Optimal?, Strange Happenings, Critical-Path Schedules, Independent Tasks, Decreasing-Time Lists

Chapter 4: Linear Programming [1 Week]
Mixture Problems, Mixture Problems Having One Resource, One Product and One Resource: Making Skateboards, Common Features of Mixture Problems, Two Products and One Resource: Skateboards and Dolls, Mixture Charts, Resource Constraints, Graphing the Constraints to Form the Feasible Region, Finding the Optimal Production Policy, General Shape of Feasible Regions, The Role of the Profit Formula: Skateboards and Dolls, Setting Minimum Quantities for Products: Skateboards and Dolls, Drawing a Feasible Region When There are Nonzero Minimum Constraints, Finding Corner Points of a Feasible Region Having Nonzero Minimums, Evaluating the Profit Formula at the Corners of a Feasible Region with Nonzero Minimums, Summary of the Pictorial Method, Mixture Problems Having Two Resources, Two Products and Two Resources: Skateboards and Dolls, The Corner Point Principle, Linear Programming: The Wider Picture, Characteristics of Linear Programming Algorithms, The Simplex Method, An Alternative to the Simplex Method


Part III - Voting and Social Choice

Chapter 9: Social Choice: The Impossible Dream [1.5 Weeks] 
Elections with Only Two Alternatives, Elections with Three or More Alternatives: Procedures and Problems, Plurality Voting and the Condorcet Winner Criterion, The Borda Count and Independence of Irrelevant Alternatives, Sequential Pairwise Voting and the Pareto Condition, the Hare System and Monotonicity, Insurmountable Difficulties: From Paradox to Impossibility, The Voting Paradox of Condorcet, Impossibility, A Better Approach? Approval Voting

Chapter 11: Weighted Voting Systems [2 Weeks] 
How Weighted Voting Works, Notation for Weighted Voting, The Banzhaf Power Index, How to Count Combinations, Equivalent Voting Systems, The Shapley-Shubik Power Index, How to Compute the Shapley-Shubik Power Index, Comparing the Banzhaf and Shapley-Shubik Models


Part IV - Fairness and Game Theory

Chapter 13: Fair Division [1.5 Weeks]
The Adjusted Winner Procedure, The Knaster Inheritance Procedure, Divide-and-Choose, Cake-Division Procedures: Proportionality, Cake-Division Procedures: The Problem of Envy

Chapter 14: Apportionment [1.5 Weeks] 
The Apportionment Problem, The Hamilton Method, Paradoxes of the Hamilton Method, Divisor Methods, The Jefferson Method, Critical Divisors, The Webster Method, The Hill-Huntington Method, Which Divisor Method is the Best?

Chapter 15: Game Theory: The Mathematics of Competition [as time permits] 
Two-Person Total-Conflict Games: Pure Strategies, Two-Person Total-Conflict Games: Mixed Strategies, A Flawed Approach, A Better Idea, Partial-Conflict Games, Larger Games, Using Game Theory, Solving Games, Practical Applications

Part V - The Digital Revolution

Chapter 16: Identification Numbers [1 Week] 
Check digits, the Zip Code, Bar Codes, Encoding Personal Data

Chapter 17: Transmitting Information [1.5 Weeks] 
Binary Codes, Encoding with Parity-Check Sums, Data Compression, Cryptography


Note: Instructors may vary the topics covered, and length of time devoted to each. Material shall be selected from:

  • Management Science (Street Networks, Visiting Vertices, Planning and Scheduling, Linear Programming)
  • Coding Information (Identification Numbers, Transmitting Information)
  • Social Choice and Decision Making (Social Choice: The Impossible Dream, Weighted Voting Systems, Fair Division, Apportionment, Game Theory: The Mathematics of Competition)
  • On Size and Shape (Growth and Form, Symmetry and Patterns, Tilings), Modeling in Mathematics (Logic and Modeling, Consumer Finance Models) 

Common Syllabus for MATH 117

All sections and chapters referred to are from Precalculus: A Prelude to Calculus

Chapter 1: Functions and Their Graphs [3 weeks]
1.1 - Functions
1.2 - The Coordinate Plane and Graphs
1.3 - Function Transformations and Graphs
1.4 - Composition of Functions
1.5 - Inverse Functions
1.6 - A Graphical Approach to Inverse Functions

Chapter 2: Linear, Quadratic, Polynomial, and Rational Functions [3.5 weeks]
2.1 - Lines and Linear Function
2.2 - Quadratic Functions and Conics (material on ellipses and hyperbolas is optional)
Appendix A: Area
2.3 - Exponents
2.4 - Polynomials
2.5 - Rational Functions

Chapter 3: Exponential Functions, Logarithms, and e [4.5 weeks]
3.1 - Logarithms as Inverses of Exponential Functions
3.2 - Applications of the Power Rule for Logarithms
3.3 - Applications of the Product and Quotient Rules for Logarithms
3.4 - Exponential Growth
3.5 - e and the Natural Logarithm (skip entirely pages 278-283)
3.6 - Approximations and Area with e and ln
3.7 - Exponential Growth Revisited

Chapter 8: Systems of Linear Equations [1 week]
8.1 - Solving Systems of Linear Equations
8.2 - Matrices (skip entirely)

Syllabus leaves 2 weeks for tests, optional material, etc.


Common Syllabus for MATH 118

All sections and chapters referred to are from Precalculus: A Prelude to Calculus

Review of material from Math 117 [1.5 weeks]
Material from Sections 1.1, 1.2, 1.4, 1.5, 1.6, 2.3, and Chapter 3

Chapter 4: Trigonometric Functions [2.5 weeks]
4.1 - The Unit Circle
4.2 - Radians
4.3 - Cosine and Sine
4.4 - More Trigonometric Functions
4.5 - Trigonometry in Right Triangles
4.6 - Trigonometric Identities

Chapter 5: Trigonometric Algebra and Geometry [3 weeks]
5.1 - Inverse Trigonometric Functions
5.2 - Inverse Trigonometric Identities (optional)
5.3 - Using Trigonometry to Compute Area
5.4 - The Law of Sines and the Law of Cosines
5.5 - Double-Angle and Half-Angle Formulas
5.6 - Addition and Subtraction Formulas

Chapter 6: Applications of Trigonometry [3 weeks]
Briefly review material from Chapter 1.3: Function Transformations and Graphs
6.1 - Transformations of Trigonometric Functions
6.2 - Polar Coordinates
6.3 - Vectors (skip entirely)
6.4 - Complex Numbers
6.5 - The Complex Plane
Appendix B: Parametric Curves (optional)

Chapter 7: Sequences, Series, and Limits [2 week]
7.1 - Sequences
7.2 - Series
7.3 - Limits 

Syllabus leaves 2 weeks for tests, projects, etc.

Common Syllabus for MATH 131

Chapter 1 – A Library of Functions (1.5–2 weeks):

1.1 – Functions and Change
1.2 – Exponential Functions
1.3 – New Functions from Old

  • Skip: the subsection on Shifts and Stretches and Odd and Even Symmetry.
  • Review of composite and inverse functions, framed in a practical, not merely algebraic, setting.

1.4 – Logarithmic Functions
1.5 – Trigonometric Functions
1.6 – Powers, Polynomials, and Rational Functions

  • Skip: the subsection on rational functions (pg 49-50).
  • Power functions, graph properties for both positive and negative exponents.
  • Comparison of long-run behavior of exponentials and polynomials.

1.7 – Introduction to Continuity

  • Skip: the majority of the section.
  • Understand the graphical viewpoint of continuity. (are there holes, breaks, or jumps in the graph?)

1.8 – Limits

  • Skip: the subsection “Definition of Limit” (bottom of pg 58 – 59).
  • Skip: the subsection “Definition of Continuity” (see comment on 1.7 above).
  • Understand the concept, notation, and properties of limits  and one-sided limites at a point and limits at infinity.

Chapter 2 – Key Concept – The Derivative (1.5 weeks)

2.1 – How do we measure speed?
2.2 – The Derivative at a Point

  • Emphasis on observing what happens to the value of the average rate of change as the interval gets smaller and smaller.
  • Emphasis placed on visualizing the derivative as the slope of a tangent.

2.3 – The Derivative Function

  • Focus on the conceptual and practical understanding of the derivative.
  • Sketch the graph of f ’ given the graph of f.

2.4 – Interpretation of the Derivative
2.5 – The Second Derivative

Chapter 3 – Shortcuts to Differentiation  (2.5 weeks)

3.1 – Powers and Polynomials
3.2 – The Exponential Function

  • Emphasis on graphical, not epsilon-delta, definition of derivative.
  • Add: differentiation rule for y=ln(x), from section 3.6.

3.3 – Product and Quotient Rules
3.4 – The Chain Rule
3.5 – The Trigonometric Functions


Chapter 4 – Using the Derivative  (3 weeks)

4.1 – Using First and Second Derivatives
4.2 – Optimization
4.3 – Optimization and Modeling
4.4 – Families of Functions and Modeling
4.5 – Applications to Marginality
4.7 – L’Hopital’s Rule, Growth, and Dominance

Chapter 5 – Key Concept – The Definite Integral  (2 weeks)

5.1 – How Do We Measure Distance Traveled?

  • Skip: accuracy of estimates (pg 277)

5.2 – The Definite Integral

  • Approximation using area and interpretation as accumulated change.

5.3 – The Fundamental Theorem and Interpretations
5.4 – Theorems About Definite Integrals

  • Finding area between curves; using the definite integral to find an average.
  • Skip: the subsection “Comparing Integrals”

Chapter 6 – Constructing Antiderivatives  (1 week)

6.1 – Antiderivatives Graphically and Numerically
6.2 – Constructing Antiderivatives Analytically

Common Syllabus for MATH 132

Review of Chapters 5 & 6.  Definite and Indefinite Integrals [1.5 to 2 Weeks]
(Prerequisite Material from MATH 131)
.1 – How Do We Measure Distance Traveled?
      Skip: accuracy of estimates (pg 277)
5.2 – The Definite Integral
   5.3 – The Fundamental Theorem and Interpretations
   5.4 – Theorems About Definite Integrals
      properties of definite integrals; area between curves; using the definite integral to find an average
      Skip: the subsection “Comparing Integrals”

   6.1 – Antiderivatives Graphically and Numerically
   6.2 – Constructing Antiderivatives Analytically
   Skip: Sections 6.3-6.4

Chapter 7.  Integration [1.5 to 2 Weeks]
   7.1 – Integration by Substitution
   7.2 – Integration by Parts
   7.6 – Improper Integrals
      consider only those where limits of integral are infinite
      Skip: cases where value of integrand becomes infinite (pp. 398–400)
   Skip: Sections 7.3, 7.4, 7.5 & 7.7

Chapter 8.  Using the Definite Integral [2 Weeks]

   8.6 – Applications to Economics
   8.7 – Distribution Functions
   8.8 – Probability, Mean, and Median
   Skip: Sections 8.1–8.5

Chapter 9.  Functions of Several Variables [2.5 to 3 Weeks]
   9.1 – Understanding Functions of Two Variables
   9.2 – Contour Diagrams
   9.3 – Partial Derivatives
   9.4 – Computing Partial Derivatives
   9.5 – Critical Points and Optimization
   9.6 – Constrained Optimization

Chapter 11.  Differential Equations [3.5 Weeks]
   11.1 – What is a Differential Equation?
   11.2 – Slope Fields
   11.3 – Euler's Method
   11.4 – Separation of Variables
   11.5 – Growth and Decay
   11.6 – Applications and Modeling
   11.7 – The Logistic Model
   11.8 – Systems of Differential Equations
   11.9 – Analyzing the Phase Plane (time permitting)

Common Syllabus for MATH 161

Chapter 1. Functions [1 week]
    Functions and their graphs: identifying functions, mathematical models. 
    Combining functions; shifting and scaling graphs. 
    Graphing with calculators and computers (introduction to Mathematica). 
    Exponential functions.
    Inverse functions and logarithms. 
    Optional: Hyperbolic functions.

Chapter 2. Limits and Continuity [1.5 weeks] 
    Rates of change and tangents to curves. 
    Calculating limits using the limit laws. 
    The precise definition of a limit. 
    One-sided limits, continuity. 
    Limits involving infinity: limits at infinity, infinite limits; asymptotes of graphs.

Chapter 3. Differentiation [4 weeks] 
    Tangents and the derivative at a point.
    The derivative as a function. 
    Differentiation rules: for polynomials and exponentials; for products and quotients. 
    The derivative as a rate of change. 
    Derivatives of trigonometric functions. 
    The chain rule.
    Implicit Differentiation. 
    Derivatives of inverse functions and logarithms. 
    Inverse trigonometric functions. 
    Related Rates. 
    Linearization and differentials. 
    Additional material (§§11.1, 11.2): parametric equations and their derivatives.
    Derivatives of Hyperbolic Functions.

Chapter 4. Applications of Derivatives [3 weeks] 
    Extreme values of functions. 
    Rolle’s theorem and the mean value theorem. 
    Monotonic functions and the first derivative test. 
    Concavity and curve sketching. 
    Applied optimization problems. 
    Indeterminate forms and l’Hopital’s rule. 
    Newton’s Method. 

Chapter 5. Integration [4 weeks] 
    Area estimates with finite sums. 
    Sigma notation and limits of finite sums. 
    The definite integral. 
    The fundamental theorem of calculus. 
    Indefinite integrals and the substitution method.
    Substitution and area between curves.

Common Syllabus for MATH 162

Review. Prerequisite Material from MATH 161 [1 Week]
    Rapid review of differentiation rules. 
    More detailed review of integration (Ch. 5): areas and distances; the definite integral; the fundamental theorem of calculus. 

Chapter 6. Applications of Definite Integrals [2-3 weeks] 
    Using integrals to calculate volumes of solids, length of curves, surface areas of solids of revolution.
    Applications to physics (instructor to select from moments and center of mass, work, fluid pressures and forces). 

Chapter 7. Integrals of Transcendental Functions [1 week] 
    The logarithm defined as an integral.
    Exponential functions and hyperbolic functions.

Chapter 8. Techniques of Integration [3 weeks] 
    Basic integration formulas; integration by parts. 
    Integration of rational functions by partial fractions; trigonometric integrals; trigonometric substitution.
    Integration using tables and computer algebra systems; approximate integration. 
    Improper integrals of Type I and Type II; comparison tests for convergence of improper integrals.

Chapter 10. Infinite Sequences and Series [4 weeks] 
    Numerical sequences and series; integral test and estimates of sums; comparison tests.
    The ratio and root tests. 
    Alternating series; absolute and conditional convergence. 
    Strategy for testing convergence of series; the rearrangement theorem for absolutely convergent series. 
    Power series; representations of functions as power series.
    Taylor and Maclaurin series.
    Binomial series; applications of Taylor polynomials; complex numbers and Euler's identity.

Chapter 11. Conic Sections and Polar Coordinates [1-2 weeks] 
    Rotations, polar coordinates; arc length in polar coordinates.
    Conic sections and quadratic equations.

Chapter 9. First Order Differential Equations [as time permits] 
    Optional: Selected topics from §§ 1 & 2. Solutions, slope fields, Euler's method, first-order linear equations.


Common Syllabi for Statistics Courses

The statistics courses that share a common syllabus across all sections are listed below.

Common Syllabus for STAT 103

  • Introduction to Data, Chapters 1 and 2 [1 week]

    • Types of Data, experiments, sampling

    • Presenting Data: Organizing and graphing data

  • Summaries of Center and Variation, Chapter 3 [1 week]

    • Mean, Median, Standard Deviation, 5 number summary, Percentiles

  • Probability, Chapter 5 [1 week]

    • Independence, Conditional Probability

  • Binomial and Normal Random Variables, Chapter 6 [1 week]

    • Areas as probability

    • Normal Approximation to Binomial

  • Estimation of Population Proportions, Chapter 7 [2 weeks]

    • Confidence intervals for proportions

    • Comparing two proportions

  • Hypothesis Testing for Proportions, Chapter 8 [2 weeks]

    • Ingredients and logic behind hypothesis testing

    • Testing one and two proportions

  • Inference for Population Means, Chapter 9 [2 weeks]

    • Testing one and two means

  • Linear Regression Analysis, Chapter 4 [1 week]

    • Scatter Plots

    • Correlation

  • Categorical variables, Chapter 10 (optional, time permitting) [1 week]

    • One and Two-way tables

    • χ2 tests

  • Inference for Regression, Chapter 14 (optional, time permitting) [1 week]

    • Hypothesis testing correlation

    • Prediction