Calculus II
teaching, Drake Univeresity, Des Moines, IA
Advanced applications of differentiation; advanced techniques and applications of integration; simple examples of differential equations.
</article> </div>Topics in Advanced Mathematics
teaching, Hamline University, Saint Paul, MN
This course will consider various recently defined graph parameters that can be viewed as the result of playing different games on graphs, e.g., the cop number of a graph (which comes from the game of cops and robbers on graphs), the burn number, power domination number, and the standard and several variations of the zero forcing number of a graph.
</article> </div>Calculus I
teaching, Drake Univeresity, Des Moines, IA
Very brief review of algebra, logarithms, and trigonometry; functions; introduction to continuity, limits, differentiation, and integrals, with applications.
</article> </div>Senior Seminar
teaching, Grand View University, Des Moines, IA
This course represents the capstone course for Mathematics majors. Emphasis is placed on further development of skills in the areas of written and oral communication, problem solving, and research. Students, with guidance from an instructor, choose a topic. On their chosen topic, students prepare a research paper and give an oral presentation to mathematics faculty and other mathematics students.
</article> </div>Introduction to Numerical Analysis
teaching, Grand View University, Des Moines, IA
Topics included are: error analysis, curve fitting, function approximation, interpolation, numerical methods for solving equations and systems of equations, numerical differentiation and integration, optimization, numerical solutions of ODE and PDE and eigenvalues/eigenvectors.
</article> </div>Discrete Mathematics
teaching, Hamline University, Saint Paul, MN
Goals: To introduce the concept of the discrete as well as techniques used in higher non-continuous mathematics, providing the necessary background material required by computer scientists for algorithm analysis.
</article> </div>Discrete Computational Structures
teaching, Grand View University, Des Moines, IA
Topics included are propositional logic, set theory, graph theory and combinatorial analysis, and Boolean algebra. Applications and theory are discussed.
</article> </div>Multivariable and Vector Calculus
teaching, Hamline University, Saint Paul, MN
Goals: To extend concepts of calculus in two variables to the calculus of several variables.
</article> </div>Introduction to Mathematical Modeling
teaching, Grand View University, Des Moines, IA
Introduction to Mathematical Modeling is a mathematical tool for solving real world problems. In this course, students study a problem-solving process. They learn how to identify a problem, construct or select appropriate models, figure out what data needs to be collected, test the validity of a model, calculate solutions and implement the model. Emphasis lies on model construction in order to promote student creativity and demonstrate the link between theoretical mathematics and real world applications.
</article> </div>Introduction to Mathematical Reasoning
teaching, Grand View University, Des Moines, IA
This course introduces students to the basics of propositional and predicate logic in symbolizing natural language and determining validity, and introduces such topics as the logic of set theory, functions, relations, and transfinite sets. Emphasis is placed upon strategies involved in constructing proofs.
</article> </div>Elementary Differential Equations & Laplace Transforms
teaching, Iowa State University, Ames, IA
Solution methods for ordinary differential equations. First order equations, linear equations, constant coefficient equations. Eigenvalue methods for systems of first order linear equations. Introduction to stability and phase plane analysis. Laplace transforms and power series solutions to ordinary differential equations.
</article> </div>Applied Statistics
teaching, Grand View University, Des Moines, IA
This course introduces students to modeling techniques for probabilistic processes and data analysis methods used in descriptive and inferential statistics. It develops students' abilities in employing technology as an analytical tool.
</article> </div>Applied Calculus
teaching, Grand View University, Des Moines, IA
This course investigates applications of modeling techniques used in a variety of disciplines, including the natural sciences, mathematics, computer science and business. The nature and use of calculus (both differential and integral) is a primary focus of the course.
</article> </div>Calculus II
teaching, Iowa State University, Ames, IA
Integral calculus, applications of the integral, parametric curves and polar coordinates, power series and Taylor series.
</article> </div>Calculus I
teaching, Iowa State University, Ames, IA
Differential calculus, applications of the derivative, introduction to integral calculus.
</article> </div>Introduction to Discrete Structures
teaching, Grand View University, Des Moines, IA
This course is an introduction to set theory, logic, integers, combinatorics, and functions for today's computer scientists.
</article> </div>College Algebra
teaching, Iowa State University, Ames, IA
Coordinate geometry, quadratic and polynomial equations, functions, graphing, rational functions, exponential and logarithmic functions, inverse functions, quadratic inequalities, systems of linear equations.
</article> </div>Statistics
teaching, Hamline University, Saint Paul, MN
Goals: To cover the fundamentals of statistical data analysis.
</article> </div>Calculus I
teaching, Hamline University, Saint Paul, MN
Goals: To learn how to use the calculus of one variable and the fundamental concepts of the calculus.
</article> </div>Finite Mathematics
teaching, Grand View University, Des Moines, IA
Topics include elementary linear functions, systems of equations, linear inequalities, matrices, linear programming (using the graphical method and optionally the Simplex Method), set theory, mathematics of finance, introductory statistics and probability. Game theory, decision making, and counting may be included. Applications to such diverse fields as business, economics, life sciences, and social sciences are covered.
</article> </div>College Algebra
teaching, Minnesota State University, Mankato, MN
Concepts of algebra (real numbers, exponents, polynomials, rational expressions), equations and inequalities, functions and graphs, polynomial and rational functions, exponential and logarithmic functions, systems of equations and inequalities, matrices and determinants, conic sections, sequences and series, probability, and binomial theorem.
</article> </div>High School Algebra
teaching, Iowa State University, Ames, IA
Topics include signed numbers, polynomials, rational and radical expressions, exponential and logarithmic expressions, and equations. Offered on a satisfactory-fail basis only.
</article> </div>Introductory & Intermediate Algebra
teaching, Grand View University, Des Moines, IA
This course covers: operations with numeric and algebraic expressions, polynomials, rational expressions and equations, roots, radicals and complex numbers, linear equations/functions and graphing, systems of linear equations and inequalities, quadratic functions, and exponential and logarithmic functions.
</article> </div>Intermediate Algebra
teaching, Grand View University, Des Moines, IA
This course will include a brief review of: sets, integers, algebraic expressions and operations, polynomials, rational expressions, and equations. This course will emphasize: roots, radicals and complex numbers, linear equations/functions and graphing, systems of linear equations and inequalities, quadratic functions, and exponential and logarithmic functions.
</article> </div>Introduction to Algebra
teaching, Grand View University, Des Moines, IA
This course is a college preparatory course designed for students who need to learn or revisit concepts typically taught in a high school Algebra I course. This course covers the fundamentals of arithmetic skills necessary in daily life and builds a foundation of algebraic understanding. Topics included are: operations with real numbers, percent, ratio, proportion, expressions, linear equations, polynomials, and radicals.
</article> </div>First Year Seminar: Uses and Misuses of Algorithms
teaching, Hamline University, Saint Paul, MN
Data scientists have used algorithms for many great things: Netflix’s recommendation system; building teams that go on to win the World Series or the Stanley Cup; proving the existence of the Higgs boson; and early detection of cancer. Other data scientists have used algorithms with malicious intent: targeting of vulnerable people by payday loan companies and for-profit higher education companies that provide little—if any—benefit to their students; using of social network bots to spread misinformation and sow discontent within a country. Sometimes algorithms have unintended negative effects: the firing of skilled teachers in Washington, D.C.; racial discrimination in the lengths of prison sentences and the granting (or not granting) of parole; and discriminating against job applicants (including racism, sexism, and ableism).
</article> </div>Programming in MATLAB
teaching, Hamline University, Saint Paul, MN
This course introduces MATLAB as a programming language and as a software environment for mathematical computing and graphics. No prior use of MATLAB or computer programming is assumed. Topics will include: data input/output, plots, if-else statements, loops and vectorization, using built-in MATLAB functions, and creating your own scripts and functions that extend the language.
</article> </div>Introduction to Computer Science
teaching, Hamline University, Saint Paul, MN
Goals: To help students develop greater precision in their algorithmic thinking by writing moderate-sized programs for a variety of applications, including but not limited to biology, chemistry, economics, literary studies, and mathematics.
</article> </div>Computational Data Science Capstone
teaching, Hamline University, Saint Paul, MN
Goals: To help students integrate the knowledge and skills attained in the Computational Data Science program.
</article> </div>Elements of Statistical Learning
teaching, Hamline University, Saint Paul, MN
Goals: This is a continuation course for MATH 1200, introducing techniques of statistical learning.
</article> </div>Introduction to Computational Data Science
teaching, Hamline University, Saint Paul, MN
Goals: To continue the study of computational techniques using Python, with an emphasis on applications in data science and analytics.
</article> </div>Introduction to Programming
teaching, Hamline University, Saint Paul, MN
Goals: To help students develop greater precision in their algorithmic thinking by writing moderate-sized programs for a variety of applications, including but not limited to biology, chemistry, economics, literary studies, and mathematics.
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