39 courses with the subject MATH, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MATH 103Introductory Algebra
This is an introduction to algebra beginning with a brief review of operations with real numbers. Topics include: algebraic expressions, solving linear equations and inequalities, rules for exponents, operations with polynomials, factoring techniques, quadratic equations, graphing linear equations, solving systems of equations. Restrictions: not open to students who have completed another mathematics course.
This course is intended to strengthen students’ ability in algebra. The course begins with such introductory topics as linear equations and inequalities, polynomials and factoring, quadratic equations, and systems of equations. This course also includes an introduction to rational expressions, radicals, and rational exponents. Prerequisite: MATH 103 with a grade of C or better or demonstrated competency through placement testing. Restrictions: not open to students who have completed any 200 or higher level
This course is the foundational course for mathematical and quantitative reasoning at Lasell College. Mathematical reasoning is the critical skill that enables a student to solve real-world problems involving quantitative analysis by making use of particular mathematical skills. Through the development of their mathematical reasoning skills, students will recognize the power of mathematics in its own right as well as its relevance in the real world. Students will develop and enhance their mathematical reasoning skills through a project/application-based curriculum supported by readily available current technological tools and topics that will include, but not be limited to, the following: solving syste
This course is intended to strengthen students’ ability in algebra. The course begins with such introductory topics as operations with real numbers, linear equations and inequalities, polynomials and factoring, quadratic equations, and systems of equations. This course also includes an introduction to rational expressions, radicals, and rational exponents.
This course is an introduction to the essentials of Euclidean geometry. Topics covered include: reasoning in mathematics, the relationship between algebra and geometry, analytic geometry, proofs and constructive triangles, circles, quadrilaterals, polygons, surfaces and solids and historical notes about famous geometricians. Prerequisite: MATH 106 with a grade of C or better or demonstrated competency through placement testing.
This course explores elements of mathematics within the design field from the incorporation of algebra to concepts of geometry. Students will have the opportunity to integrate numerical fluency, proportional reasoning, data interpretation, algebraic reasoning and communicating quantitative information through group problem solving and class discussions. Topics include pattern drafting, layouts cutting, revenue, cost, and profit modeling, measurement systems, Euclidean geometry, and spatial reasoning.
This course is an introduction to mathematics developed in the last 100 years. The course connects recently-discovered mathematics with current, real-world problems. Aesthetic elements of mathematics are emphasized. Topics may include the mathematics of voting, sharing, touring, games, networks, scheduling, money, symmetry, fractal shapes, descriptive statistics and probability. The course is appropriate for students majoring in Communication, Criminal Justice, English/History/Humanities-with Secondary Ed, English, Environmental Studies, Fashion Design, History, Hospitality and Event Management, Humanities, Human Services, Law and Public Affairs, Legal Studies, Psychology, Sociology, or Sport Managemen
An introduction to symbolic logic, including sentential and predicate logic. Its purpose is to familiarize you with certain formal methods for representing and evaluating arguments and reasoning. These methods can be used for any subject matter. The focus is on translating English statements into symbolic notation, and evaluating arguments for validity using formal proof techniques.This course is recommended for data science students, math majors, students who are contemplating graduate school admissions tests, and for general knowledge and application (so, for instance, all computer programming is based on fundamental logic rules and applications). s
This course focuses on retail mathematics. Topics include simple and compound interest, the time-value of capital, annuities, amortization, sinking funds, bond and investment, business problem-solving and decision making. Other topics include profit, loss, and break-even analysis, pricing, inventory, and merchandise planning. The course introduces basic theories of statistics. Prerequisite: MATH 106 with a grade of C or better or through placement testing.
This course will be a “Choose Option across Management, Marketing, Entrepreneurship, Event Management, Hospitality Management, Accounting and Resort and Casino Management Majors. This course will introduce a variety of mathematical principles and techniques that emphasize applications in business and economics. Topics covered include: systems of linear equations, exponential and logarithmic functions, linear programming, as well as the development and applications of rates of change. Prerequisite: MATH106
This course prepares students for the study of calculus, physics and other courses requiring precalculus skills. Included is solving systems of equations, the analysis and graphing of linear, quadratic, polynomial, exponential, logarithmic, rational functions, the unit circle, and triangle (right and non-right) trigonometry. Prerequisite: MATH 106 with a grade of C or better or demonstrated competency through placement testing. Restrictions: not open to students who have completed 205, 206, or any 300 level mathematics course successfully.
This course is an introduction to limits, continuity, and methods of differentiation. Application to problems in business management and physical science is emphasized. Prerequisite: MATH 203 with a grade of C or better or demonstrated competency through placement testing. Restrictions: not open to students who have completed MATH 206, or any 300 level mathematics courses.
This is a continuation of Calculus I. Includes graphical and analytic integration, partial differentiation, and solving differential equations. Applications include business, biological sciences, and physical sciences. Prerequisite: MATH 205 with a grade of C or better or demonstrated competency through placement testing. Restrictions: not open to students who have completed MATH 320, MATH 328, or MATH 330.
This course is an in-depth study of trigonometry with attention to theory, proofs, modeling, and history. Trigonometric and related functions are used to model, analyze, and solve real-life problems. Applications are chosen from disciplines such as agriculture, architecture, astronomy, biology, business, chemistry, earth science, engineering, medicine, meteorology, and physics. Topics covered include a review of trigonometric functions, right triangle trigonometry, analytic trigonometry, vectors and dot products, complex number theory, trigonometric forms of complex numbers, exponential, logarithmic and trigonometric models, Gaussian and logistic growth models, conic sections, and polar equations of co
Major Requirements: 59 credits A minimum of 120 credits is required for graduation. This total includes the Core Curriculum Requirements as described elsewhere in this catalog. Some courses required for the major meet Core Curriculum requirements. For a complete explanation of graduation requirements, see Graduation Requirements in the Undergraduate Academic Policies section of this catalog. Communication students who have not declared a Concentration must complete all of the courses for the Major Requirements (29 credits), and ten (10) courses selected from the lists of courses under the Concentrations (30 credits).
This is an introductory course in descriptive and inferential statistics focused on applications in business. Topics include: data analysis, and graphical methods of describing data, measures of central tendency and variability, time-series analysis, trend and seasonality analysis, simple and multiple correlation and regression analysis, sales and cost forecasting, probability, expected monetary value, and the Normal distribution. Prerequisites: MATH 106 with a grade of C or better or demonstrated competency through placement testing and ENG 102. With permission of the instructor only.
This is an introductory course in descriptive and inferential statistics focused on applications in business. Topics include: data analysis, and graphical methods of describing data, measures of central tendency and variability, time-series analysis, trend and seasonality analysis, simple and multiple correlation and regression analysis, sales and cost forecasting, probability, expected monetary value, and the Normal distribution. Prerequisites: MATH 106 with a grade of C or better or demonstrated competency through placement testing and ENG 102. With permission of the instructor only.
This course provides a review of fundamental mathematical concepts such as probability and trigonometric, exponential and logarithmic functions and explores the ways that these topics and techniques have been applied to investigations in architecture, calculus, exponential growth and decay, logarithmic scales, earthquake analysis, astronomy, biology, medicine, genetics, radiocarbon dating, chemistry, and Newtonian physics. The course is designed to demonstrate the power and utility of mathematics and explores the development of mathematics during the Middle Ages and the Renaissance, especially in Greek, Hindu and Arabic cultures. Prerequisite: MATH 205 with a grade of C or better.
The focus of this course is to develop mathematical models and to demonstrate the utility of various mathematical techniques that are most applicable to the creation of computer algorithms. Topics include functions and models, linear regression, solving systems of linear equations using matrices, matrix algebra and Leontief Input-Output models, linear programming (graphical and simplex methods), principle of duality, estimated and theoretical probability and Markov Chains. Applications are derived from current real-world data and require mastery of Microsoft Excel and graphing calculator technology. Prerequisite: MATH206 with a grade of C or better.
Topics will include elementary logic and set theory, equivalence relations, functions, counting arguments, inductively defined sets, recursion, graphs and trees, Boolean algebra and combinatorial circuits, and countability arguments. Prerequisite: MATH203 with a C or better.
Topics will include logic, proofs, algorithms, counting, recurrence relations, graph theory, trees, networks, Boolean algebra, and automata. Prerequisite: C or better in MATH205
This course will be an exploration into the mathematics exemplified in high quality high school and undergraduate mathematics competitions and mathematical research. The emphasis will be placed on building a repertoire of mathematical strategies and tactics, then applying these methods in unfamiliar situations. Topics will include: Combinatorics, Binomial Theorem, Conditional Probability, Roots of Unity, Symmetric Polynomials, Polynomial Interpolation, and topics in Euclidean and non-Euclidean Geometry. Students will hone their ability to solve mathematical problems through hands-on practice and obtain an understanding of the strategies, tactics, and tools of the problem solver as illustrated by the te
This course engages students in mathematical concepts through examples, investigations, and active problem-solving explorations. Content is drawn from subject matter knowledge required for elementary and early childhood licensure, with emphasis on number theory and operations. This course is for students seeking elementary or early childhood licensure.
This course engages students in mathematical concepts through examples, investigations, and active problem solving explorations. Content is drawn from subject matter knowledge required for elementary and early childhood licensure, with emphasis on number theory and operations. This course is for students seeking elementary or early childhood licensure. Concurrent enrollment in ED 335 is required.
Quantitative statistical tools for modern data analysis are used across a range of disciplines and industries to guide organizational, societal and scientific advances. Using data sets from across a variety of fields, the focus will be on applications and analysis. Topics include two sample confidence intervals, Chi Square tests, multiple regression analysis, ANOVA, non- parametric tests, sampling, and simulation. Prerequisite: Math 208 or Math 209
Quantitative statistical tools for modern data analysis are used across a range of disciplines and industries to guide organizational, societal and scientific advances. Using data sets from across a variety of fields, the focus will be on applications and analysis. Topics include two sample confidence intervals, Chi Square tests, multiple regression analysis, ANOVA, non- parametric tests, sampling, and simulation. Prerequisite: Math 208 or Math 209
This course engages students in hands-on, in-depth, practical applications of the mathematical reasoning and computational techniques taught in MATH 304. This course is for students seeking elementary or early childhood licensure. Prerequisite: Permission of Education Program Director
This course is an introduction to sequences and series, parametric and polar curves, vector functions, advanced techniques of differentiation and integration. Prerequisite: MATH 206 with a grade of C or better.
This is an introduction to the many ways of solving various types of differential equations with emphasis on theory, methods of solution and applications. Topics include solutions of first, second and simple higher order differential equations, homogeneous and non-homogeneous equations. Prerequisite: MATH 206 with a grade of B- or better.
This is an introductory course in linear algebra blending the requirements of theory, problem solving, analytical thinking, computational techniques, and applications. Topics include in-depth treatment of matrix algebra, linear systems, vector spaces, linear transformations, determinants. Applications and modeling of real phenomena in transportation systems, economics, connectivity of networks, and graph theory. Prerequisite: MATH 206 with a grade of C or better.
This course explores the art of mathematical modeling of managerial decision problems and the science of developing the solution techniques for these models. Topics include management science techniques used in today’s businesses, e.g., break-even analysis, presentation models, linear programming, transportation and assignments problems, decision theory, forecasting and inventory models, Markov analysis, and solution of nonlinear models in business using calculus-based optimization. Prerequisite: MATH 206 with a grade of C or better.
This is an application-oriented course on how to solve real word problems from the social, medical and life sciences, business, and economics by setting up a mathematical model of the situation and then developing techniques for analyzing these models and solving them. Topics include the modeling process, linear models, financial models, modeling using proportionality, fitting linear and nonlinear models to data graphically, the least-squared criterion, linear programming models, modeling using the derivative, matrix and probability models, Markov chain models, and modeling interactive dynamic systems. Prerequisite: MATH 206 with a grade of C or better.
This course explores statistical methods for describing and analyzing multivariate data. Topics include data transformations, analysis of variance, regression, and factor analysis. Data sets will be analyzed with statistical software. MATH307, MATH325, or concurrent enrolment in MATH212 recommended.
In this introduction to statistical theory, the roles probability and statistics play in business analysis and decision making are investigated. Topics include probability distributions, statistical inference, sampling distribution theory, and applications. Prerequisite: Math 206 with a grade of C or better.
In this capstone course, Students investigate mathematics from a variety of fields and choose a topic for a mathematics project in their Field of Application. Mathematical methods for analysis, modeling, prediction, and/or problem solving are discussed. Students demonstrate knowledge of a substantial area of mathematics and present their work at a department seminar or the Connected Learning Symposium.
This course engages students in hands-on, in-depth, practical applications of the mathematical reasoning and computational techniques for teachers. This course is for students seeking elementary or moderate disabilities licensure.
