Courses

Notes:

  • For information about placement into Calculus or Statistics, please visit the Math/Stats Placement page.

Fall 2018

  • MATH 111: Introduction to Calculus

    An introduction to the differential and integral calculus. Derivatives, antiderivatives, the definite integral, applications, and the fundamental theorem of calculus. Prerequisites: Requires placement via the Calculus Placement Exam 1, see Mathematics web page. Not open to students who have received credit for Mathematics 101. 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019 · Michael P Cohen, Caroline L Turnage-Butterbaugh
  • MATH 120: Calculus 2

    Inverse functions, integration by parts, improper integrals, modeling with differential equations, vectors, calculus of functions of two independent variables including directional derivatives and double integrals, Lagrange multipliers.

    Prerequisites: Mathematics 101, 111, score of 4 or 5 on Calculus AB Exam, score of 5, 6, or 7 on Mathematics IB exam or placement via a Carleton placement exam. 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Kate Hake, Rafe Jones, Alex Barrios, Michael P Cohen, Mark Krusemeyer
  • MATH 210: Calculus 3

    Vectors, curves, calculus of functions of three independent variables, including directional derivatives and triple integrals, cylindrical and spherical coordinates, line integrals, Green's theorem, sequences and series, power series, Taylor series.

    Prerequisites: Math 120. Not open to students who have received credit for Math 211 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Michael P Cohen, Kate Hake, Alex Barrios, Owen D Biesel
  • MATH 211: Introduction to Multivariable Calculus

    Vectors, curves, partial derivatives, gradient, multiple and iterated integrals, line integrals, Green's theorem. Prerequisites: Mathematics 121 or placement via Calculus Placement Exam #3 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Gail S Nelson, Owen D Biesel
  • MATH 215: Introduction to Statistics

    Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have received credit for Mathematics 115 may petition the department to seek approval to register for Mathematics 215. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265-275 Probability-Statistics sequence.

    Prerequisites: Not open to students who have already received credit for Math 115, Psychology 200/201, Sociology/Anthropology 239 or Math 275. 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018, Winter 2019, Spring 2019 · Adam Loy, Laura M Chihara, Katie St. Clair, Andy Poppick
  • MATH 232: Linear Algebra

    Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues. Prerequisites: Mathematics 120 or 211 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Eric S Egge, Sam Patterson, Owen D Biesel, Alex Barrios, Rafe Jones
  • MATH 236: Mathematical Structures

    Basic concepts and techniques used throughout mathematics. Topics include logic, mathematical induction and other methods of proof, problem solving, sets, cardinality, equivalence relations, functions and relations, and the axiom of choice. Other topics may include: algebraic structures, graph theory, and basic combinatorics. Prerequisites: Mathematics 232 and either Mathematics 210 or Mathematics 211 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Gail S Nelson, Rafe Jones, Mark Krusemeyer
  • MATH 245: Applied Regression Analysis

    A second course in statistics covering simple linear regression, multiple regression and ANOVA, and logistic regression. Exploratory graphical methods, model building and model checking techniques will be emphasized with extensive use of statistical software to analyze real-life data. Prerequisites: Mathematics 215 (or equivalent) or 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018, Winter 2019, Spring 2019 · Andy Poppick, Laura M Chihara, Adam Loy
  • MATH 251: Chaotic Dynamics

    An exploration of the behavior of non-linear dynamical systems. Topics include one and two-dimensional dynamics, Sarkovskii's Theorem, chaos, symbolic dynamics,and the Hénon Map.

    Prerequisites: Mathematics 232 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Fall 2018 · Sam Patterson
  • MATH 265: Probability

    Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions. Prerequisites: Mathematics 120 or 211 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019 · Laura M Chihara, Josh Davis, Katie St. Clair
  • MATH 280: Statistical Consulting

    Students will apply their statistical knowledge by analyzing data problems solicited from the Northfield community. Students will also learn basic consulting skills, including communication and ethics. Prerequisites: Mathematics 245 and instructor permission 2 credit; S/CR/NC; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018, Winter 2019, Spring 2019 · Andy Poppick
  • MATH 297: Assessment and Communication of External Mathematical Activity

    An independent study course intended for students who have completed an external activity related to the mathematics major (for example, an internship or an externship) to communicate (both in written and oral forms) and assess their mathematical learning from that activity. Prerequisites: Permission of department chair and homework in advance of the external mathematical activity 1 credit; S/CR/NC; Does not fulfill a curricular exploration requirement; offered Fall 2018, Winter 2019, Spring 2019 · Eric S Egge
  • MATH 315: Topics Probability/Statistics: Bayesian Statistics

    An introduction to statistical inference and modeling in the Bayesian paradigm. Topics include Bayes' Theorem, common prior and posterior distributions, hierarchical models, Markov chain Monte Carlo methods (e.g., the Metropolis-Hastings algorithm and Gibbs sampler) and model adequacy and posterior predictive checks. The course uses R extensively for simulations.

    Prerequisites: Mathematics 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018 · Adam Loy
  • MATH 333: Combinatorial Theory

    The study of structures involving finite sets. Counting techniques, including generating functions, recurrence relations, and the inclusion-exclusion principle; existence criteria, including Ramsey's theorem and the pigeonhole principle. Some combinatorial identities and bijective proofs. Other topics may include graph and/or network theory, Hall's ("marriage") theorem, partitions, and hypergeometric series. Prerequisites: Mathematics 236 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Fall 2018 · Eric S Egge
  • MATH 342: Abstract Algebra I

    Introduction to algebraic structures, including groups, rings, and fields. Homomorphisms and quotient structures, polynomials, unique factorization. Other topics may include applications such as Burnside's counting theorem, symmetry groups, polynomial equations, or geometric constructions. Prerequisites: Mathematics 236 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Spring 2019 · Rafe Jones, Owen D Biesel
  • MATH 400: Integrative Exercise

    Either a supervised small-group research project or an individual, independent reading. Required of all senior majors. Prerequisites: Mathematics 236 and successful completion of three courses from among: Mathematics courses numbered above 236, Computer Science 252, Computer Science 254 3-6 credit; S/NC; offered Fall 2018, Winter 2019, Spring 2019 · Andy Poppick, Gail S Nelson, Laura M Chihara, Adam Loy, Caroline L Turnage-Butterbaugh, Eric S Egge, Kate Hake, Michael P Cohen, Owen D Biesel

Winter 2019

  • MATH 101: Calculus with Problem Solving

    An introduction to the central ideas of calculus with review and practice of those skills needed for the continued study of calculus. Problem solving strategies will be emphasized. (Meets Monday through Friday). Prerequisites: Not open to students who have received credit for Math 111. 6 credit; Formal or Statistical Reasoning; offered Winter 2019 · Deanna Haunsperger
  • MATH 111: Introduction to Calculus

    An introduction to the differential and integral calculus. Derivatives, antiderivatives, the definite integral, applications, and the fundamental theorem of calculus. Prerequisites: Requires placement via the Calculus Placement Exam 1, see Mathematics web page. Not open to students who have received credit for Mathematics 101. 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019 · Michael P Cohen, Caroline L Turnage-Butterbaugh
  • MATH 120: Calculus 2

    Inverse functions, integration by parts, improper integrals, modeling with differential equations, vectors, calculus of functions of two independent variables including directional derivatives and double integrals, Lagrange multipliers.

    Prerequisites: Mathematics 101, 111, score of 4 or 5 on Calculus AB Exam, score of 5, 6, or 7 on Mathematics IB exam or placement via a Carleton placement exam. 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Kate Hake, Rafe Jones, Alex Barrios, Michael P Cohen, Mark Krusemeyer
  • MATH 206: A Tour of Mathematics

    A series of eight lectures intended for students considering a Mathematics major. The emphasis will be on presenting various striking ideas, concepts and results in modern mathematics, rather than on developing extensive knowledge or techniques in any particular subject area. 1 credit; S/CR/NC; Does not fulfill a curricular exploration requirement; offered Winter 2019 · Deanna Haunsperger
  • MATH 210: Calculus 3

    Vectors, curves, calculus of functions of three independent variables, including directional derivatives and triple integrals, cylindrical and spherical coordinates, line integrals, Green's theorem, sequences and series, power series, Taylor series.

    Prerequisites: Math 120. Not open to students who have received credit for Math 211 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Michael P Cohen, Kate Hake, Alex Barrios, Owen D Biesel
  • MATH 211: Introduction to Multivariable Calculus

    Vectors, curves, partial derivatives, gradient, multiple and iterated integrals, line integrals, Green's theorem. Prerequisites: Mathematics 121 or placement via Calculus Placement Exam #3 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Gail S Nelson, Owen D Biesel
  • MATH 215: Introduction to Statistics

    Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have received credit for Mathematics 115 may petition the department to seek approval to register for Mathematics 215. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265-275 Probability-Statistics sequence.

    Prerequisites: Not open to students who have already received credit for Math 115, Psychology 200/201, Sociology/Anthropology 239 or Math 275. 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018, Winter 2019, Spring 2019 · Adam Loy, Laura M Chihara, Katie St. Clair, Andy Poppick
  • MATH 232: Linear Algebra

    Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues. Prerequisites: Mathematics 120 or 211 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Eric S Egge, Sam Patterson, Owen D Biesel, Alex Barrios, Rafe Jones
  • MATH 236: Mathematical Structures

    Basic concepts and techniques used throughout mathematics. Topics include logic, mathematical induction and other methods of proof, problem solving, sets, cardinality, equivalence relations, functions and relations, and the axiom of choice. Other topics may include: algebraic structures, graph theory, and basic combinatorics. Prerequisites: Mathematics 232 and either Mathematics 210 or Mathematics 211 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Gail S Nelson, Rafe Jones, Mark Krusemeyer
  • MATH 241: Ordinary Differential Equations

    An introduction to ordinary differential equations, including techniques for finding solutions, conditions under which solutions exist, and some qualitative analysis. Prerequisites: Mathematics 232 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Winter 2019, Spring 2019 · Mark Krusemeyer, Michael P Cohen
  • MATH 245: Applied Regression Analysis

    A second course in statistics covering simple linear regression, multiple regression and ANOVA, and logistic regression. Exploratory graphical methods, model building and model checking techniques will be emphasized with extensive use of statistical software to analyze real-life data. Prerequisites: Mathematics 215 (or equivalent) or 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018, Winter 2019, Spring 2019 · Andy Poppick, Laura M Chihara, Adam Loy
  • MATH 265: Probability

    Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions. Prerequisites: Mathematics 120 or 211 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019 · Laura M Chihara, Josh Davis, Katie St. Clair
  • MATH 275: Introduction to Statistical Inference

    Introduction to modern mathematical statistics. The mathematics underlying fundamental statistical concepts will be covered as well as applications of these ideas to real-life data. Topics include: resampling methods (permutation tests, bootstrap intervals), classical methods (parametric hypothesis tests and confidence intervals), parameter estimation, goodness-of-fit tests, regression, and Bayesian methods. The statistical package R will be used to analyze data sets. Prerequisites: Mathematics 265 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Winter 2019, Spring 2019 · Laura M Chihara, Andy Poppick
  • MATH 280: Statistical Consulting

    Students will apply their statistical knowledge by analyzing data problems solicited from the Northfield community. Students will also learn basic consulting skills, including communication and ethics. Prerequisites: Mathematics 245 and instructor permission 2 credit; S/CR/NC; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018, Winter 2019, Spring 2019 · Andy Poppick
  • MATH 285: Introduction to Data Science

    This course will cover the computational side of data analysis, including data acquisition, management and visualization tools. Topics may include: data scraping, clean up and manipulation, data visualization using packages such as ggplots, understanding and visualizing spatial and network data, and supervised and unsupervised classification methods. We will use the statistics software R in this course.

    Prerequisites: Mathematics 215 or Mathematics 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Winter 2019 · Adam Loy
  • MATH 297: Assessment and Communication of External Mathematical Activity

    An independent study course intended for students who have completed an external activity related to the mathematics major (for example, an internship or an externship) to communicate (both in written and oral forms) and assess their mathematical learning from that activity. Prerequisites: Permission of department chair and homework in advance of the external mathematical activity 1 credit; S/CR/NC; Does not fulfill a curricular exploration requirement; offered Fall 2018, Winter 2019, Spring 2019 · Eric S Egge
  • MATH 321: Real Analysis I

    A systematic study of concepts basic to calculus, such as topology of the real numbers, limits, differentiation, integration, convergence of sequences, and series of functions. Prerequisites: Mathematics 236 or permission of the instructor 6 credit; Formal or Statistical Reasoning; offered Winter 2019 · Owen D Biesel
  • MATH 344: Differential Geometry

    Local and global theory of curves, Frenet formulas. Local theory of surfaces, normal curvature, geodesics, Gaussian and mean curvatures, Theorema Egregium. Prerequisites: Mathematics 236 or permission of the instructor. 6 credit; Formal or Statistical Reasoning; offered Winter 2019 · Gail S Nelson
  • MATH 349: Methods of Teaching Mathematics

    Methods of teaching mathematics in grades 7-12. Issues in contemporary mathematics education. Regular visits to school classrooms and teaching a class are required. Prerequisites: Junior or senior standing and instructor permission 6 credit; Does not fulfill a curricular exploration requirement; offered Winter 2019 · Deanna Haunsperger
  • MATH 352: Topics in Abstract Algebra

    An intensive study of one or more of the types of algebraic systems studied in Mathematics 342. Prerequisites: Mathematics 342 6 credit; Formal or Statistical Reasoning; offered Winter 2019 · Mark Krusemeyer
  • MATH 395: Topics in the Theory of Elliptic Curves

    Introduction to the geometry and arithmetic of elliptic curves, with selected advanced topics. Introductory topics include the geometry of cubics, the group law on an elliptic curve, points of finite order, the group of rational points, heights and the Mordell-Weil theorem. Students will have the opportunity to explore advanced topics such as: integral points on elliptic curves; elliptic curves over finite fields; elliptic curves and cryptography; and links between elliptic curves and Fermat’s Last Theorem.

    Prerequisites: Mathematics 342, an equivalent Budapest or Moscow Semester in Mathematics course or instructor permission 6 credit; Formal or Statistical Reasoning; offered Winter 2019 · Rafe Jones
  • MATH 400: Integrative Exercise

    Either a supervised small-group research project or an individual, independent reading. Required of all senior majors. Prerequisites: Mathematics 236 and successful completion of three courses from among: Mathematics courses numbered above 236, Computer Science 252, Computer Science 254 3-6 credit; S/NC; offered Fall 2018, Winter 2019, Spring 2019 · Andy Poppick, Gail S Nelson, Laura M Chihara, Adam Loy, Caroline L Turnage-Butterbaugh, Eric S Egge, Kate Hake, Michael P Cohen, Owen D Biesel

Spring 2019

  • MATH 120: Calculus 2

    Inverse functions, integration by parts, improper integrals, modeling with differential equations, vectors, calculus of functions of two independent variables including directional derivatives and double integrals, Lagrange multipliers.

    Prerequisites: Mathematics 101, 111, score of 4 or 5 on Calculus AB Exam, score of 5, 6, or 7 on Mathematics IB exam or placement via a Carleton placement exam. 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Kate Hake, Rafe Jones, Alex Barrios, Michael P Cohen, Mark Krusemeyer
  • MATH 210: Calculus 3

    Vectors, curves, calculus of functions of three independent variables, including directional derivatives and triple integrals, cylindrical and spherical coordinates, line integrals, Green's theorem, sequences and series, power series, Taylor series.

    Prerequisites: Math 120. Not open to students who have received credit for Math 211 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Michael P Cohen, Kate Hake, Alex Barrios, Owen D Biesel
  • MATH 211: Introduction to Multivariable Calculus

    Vectors, curves, partial derivatives, gradient, multiple and iterated integrals, line integrals, Green's theorem. Prerequisites: Mathematics 121 or placement via Calculus Placement Exam #3 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Gail S Nelson, Owen D Biesel
  • MATH 215: Introduction to Statistics

    Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have received credit for Mathematics 115 may petition the department to seek approval to register for Mathematics 215. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265-275 Probability-Statistics sequence.

    Prerequisites: Not open to students who have already received credit for Math 115, Psychology 200/201, Sociology/Anthropology 239 or Math 275. 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018, Winter 2019, Spring 2019 · Adam Loy, Laura M Chihara, Katie St. Clair, Andy Poppick
  • MATH 232: Linear Algebra

    Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues. Prerequisites: Mathematics 120 or 211 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Eric S Egge, Sam Patterson, Owen D Biesel, Alex Barrios, Rafe Jones
  • MATH 236: Mathematical Structures

    Basic concepts and techniques used throughout mathematics. Topics include logic, mathematical induction and other methods of proof, problem solving, sets, cardinality, equivalence relations, functions and relations, and the axiom of choice. Other topics may include: algebraic structures, graph theory, and basic combinatorics. Prerequisites: Mathematics 232 and either Mathematics 210 or Mathematics 211 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Winter 2019, Spring 2019 · Gail S Nelson, Rafe Jones, Mark Krusemeyer
  • MATH 241: Ordinary Differential Equations

    An introduction to ordinary differential equations, including techniques for finding solutions, conditions under which solutions exist, and some qualitative analysis. Prerequisites: Mathematics 232 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Winter 2019, Spring 2019 · Mark Krusemeyer, Michael P Cohen
  • MATH 245: Applied Regression Analysis

    A second course in statistics covering simple linear regression, multiple regression and ANOVA, and logistic regression. Exploratory graphical methods, model building and model checking techniques will be emphasized with extensive use of statistical software to analyze real-life data. Prerequisites: Mathematics 215 (or equivalent) or 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018, Winter 2019, Spring 2019 · Andy Poppick, Laura M Chihara, Adam Loy
  • MATH 255: Introduction to Sampling Techniques

    Covers sampling design issues beyond the basic simple random sample: stratification, clustering, domains, and complex designs like two-phase and multistage designs. Inference and estimation techniques for most of these designs will be covered and the idea of sampling weights for a survey will be introduced. We may also cover topics like graphing complex survey data and exploring relationships in complex survey data using regression and chi-square tests.

    Prerequisites: Mathematics 215 or 275 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Spring 2019 · Katie St. Clair
  • MATH 261: Functions of a Complex Variable

    Algebra and geometry of complex numbers, analytic functions, complex integration, series, residues, applications. Not open to students who have already received credits for Mathematics 361. Prerequisites: Mathematics 210 or 211 6 credit; Formal or Statistical Reasoning; offered Spring 2019 · Caroline L Turnage-Butterbaugh
  • MATH 275: Introduction to Statistical Inference

    Introduction to modern mathematical statistics. The mathematics underlying fundamental statistical concepts will be covered as well as applications of these ideas to real-life data. Topics include: resampling methods (permutation tests, bootstrap intervals), classical methods (parametric hypothesis tests and confidence intervals), parameter estimation, goodness-of-fit tests, regression, and Bayesian methods. The statistical package R will be used to analyze data sets. Prerequisites: Mathematics 265 6 credit; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Winter 2019, Spring 2019 · Laura M Chihara, Andy Poppick
  • MATH 280: Statistical Consulting

    Students will apply their statistical knowledge by analyzing data problems solicited from the Northfield community. Students will also learn basic consulting skills, including communication and ethics. Prerequisites: Mathematics 245 and instructor permission 2 credit; S/CR/NC; Formal or Statistical Reasoning, Quantitative Reasoning Encounter; offered Fall 2018, Winter 2019, Spring 2019 · Andy Poppick
  • MATH 295: Combinatorial Games

    An introduction to the theory and practice of combinatorial games, which are two-player games in which players take turns, both players have complete information about the state of the game at all times, and there is no chance involved. Topics may include impartial games, a complete solution to nim, nim's relationship with other impartial games, the correspondence between games and numbers, sums of games, birthdays of games, hot games, and thermographs of games. Specific games will be studied as examples of the general theory, possibly including hackenbush, domineering, amazons, chomp, the octal games, and variations of these games. 

    Prerequisites: Mathematics 236 or instructor consent 6 credit; Formal or Statistical Reasoning; offered Spring 2019 · Eric S Egge
  • MATH 297: Assessment and Communication of External Mathematical Activity

    An independent study course intended for students who have completed an external activity related to the mathematics major (for example, an internship or an externship) to communicate (both in written and oral forms) and assess their mathematical learning from that activity. Prerequisites: Permission of department chair and homework in advance of the external mathematical activity 1 credit; S/CR/NC; Does not fulfill a curricular exploration requirement; offered Fall 2018, Winter 2019, Spring 2019 · Eric S Egge
  • MATH 312: Elementary Theory of Numbers

    Properties of the integers. Topics include the Euclidean algorithm, classical unsolved problems in number theory, prime factorization, Diophantine equations, congruences, divisibility, Euler's phi function and other multiplicative functions, primitive roots, and quadratic reciprocity. Other topics may include integers as sums of squares, continued fractions, distribution of primes, integers in extension fields, p-adic numbers. Prerequisites: Mathematics 236 or consent of the instructor. 6 credit; Formal or Statistical Reasoning; offered Spring 2019 · Caroline L Turnage-Butterbaugh
  • MATH 331: Real Analysis II

    Further topics in analysis such as measure theory, Lebesgue integration or Banach and Hilbert spaces. Prerequisites: Mathematics 321 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Spring 2019 · Gail S Nelson
  • MATH 341: Partial Differential Equations

    An introduction to partial differential equations with emphasis on the heat equation, wave equation, and Laplace's equation. Topics include the method of characteristics, separation of variables, Fourier series, Fourier transforms and existence/uniqueness of solutions.

    Prerequisites: Mathematics 241 6 credit; Formal or Statistical Reasoning; offered Spring 2019 · Rob Thompson
  • MATH 342: Abstract Algebra I

    Introduction to algebraic structures, including groups, rings, and fields. Homomorphisms and quotient structures, polynomials, unique factorization. Other topics may include applications such as Burnside's counting theorem, symmetry groups, polynomial equations, or geometric constructions. Prerequisites: Mathematics 236 or instructor permission 6 credit; Formal or Statistical Reasoning; offered Fall 2018, Spring 2019 · Rafe Jones, Owen D Biesel
  • MATH 400: Integrative Exercise

    Either a supervised small-group research project or an individual, independent reading. Required of all senior majors. Prerequisites: Mathematics 236 and successful completion of three courses from among: Mathematics courses numbered above 236, Computer Science 252, Computer Science 254 3-6 credit; S/NC; offered Fall 2018, Winter 2019, Spring 2019 · Andy Poppick, Gail S Nelson, Laura M Chihara, Adam Loy, Caroline L Turnage-Butterbaugh, Eric S Egge, Kate Hake, Michael P Cohen, Owen D Biesel