Mathematics Course Descriptions

  • Credits: 1.5-3

    Instructor: Staff

    Description: A course devoted to exploring topics of current interest. Topics announced prior to registration.

  • Credits: 3

    Instructor: Staff

    Offered: Fall

    Description: Team project in joint computer science and mathematics, with corporate affiliation. CSMT183 HM and CSMT184 HM must be taken consecutively to count toward the major.

  • Credits: 3

    Instructor: Staff.

    Offered: Spring

    Description: Team project in joint computer science and mathematics, with corporate affiliation. CSMT183 HM and CSMT184  HM must be taken consecutively to count toward the major.

    Prerequisites: CSMT183 HM 

  • Credits: 3

    Instructor: Staff

    Offered: Fall

    Description: A comprehensive view of the theory and techniques of differential and integral calculus of a single variable together with a robust introduction to multivariable calculus. Topics include limits, continuity, derivatives, definite integrals, infinite series, Taylor series in one and several variables, partial derivatives, double and triple integrals, linear approximations, the gradient, directional derivatives and the Jacobian, optimization and the second derivative test, higher-order derivatives and Taylor approximations, line integrals, vector fields, curl, divergence, Green's theorem, and an introduction to flux and surface integrals.

  • Credits: 1.5

    Instructor: Benjamin

    Offered: Fall

    Description: Using simple mathematical tools, many popular games and puzzles can be analyzed, leading to improved performance and a more enjoyable experience. In this class we will derive probabilities, expected values and optimal strategies for games like roulette, craps, blackjack, backgammon, and poker. The theory of zero sum games will be introduced, along with optimal wagering strategies. We will also explore solution methods for classic puzzles like Lights Out, Sudoku, and Rubik's Cube. Half-semester course.

    Prerequisites: Harvey Mudd College first-year students only.

  • Credits: 3

    Instructors: Benjamin, Bernoff, Orrison, Pippenger

    Offered: Fall and Spring

    Description: Topics include combinatorics (clever ways of counting things), number theory, and graph theory with an emphasis on creative problem solving and learning to read and write rigorous proofs. Possible applications include probability, analysis of algorithms, and cryptography.

    Corequisites: MATH073 HM 

  • Credit: 1

    Instructor: Benjamin

    Description: Topics include combinatorics (clever ways of counting things), number theory, and graph theory with an emphasis on creative problem solving and learning to read and write rigorous proofs. Possible applications include probability, analysis of algorithms, and cryptography.   

    Prerequisites: By permission only

  • Credits: 1.5

    Instructors: de Pillis, Omar, Orrison

    Offered: Spring, first half

    Description: This half course is a continuation of MATH065  HM and is designed to in­crease the depth and breadth of students' knowledge of linear algebra. Topics include: Vector spaces, linear transformations, eigenvalues, eigenvectors, inner-product spaces, spectral theorems, Jordan Canonical Form, singular value decomposition, and others as time permits.

    Prerequisites: MATH065  HM. May not be taken by students who have completed MATH073 HM.

  • Credits: 3

    Instructor: Staff

    Offered: Spring

    Description: Theory and applications of linearity, including vectors, matrices, systems of linear equations, dot and cross products, determinants, linear transformations in Euclidean space, linear independence, bases, eigenvalues, eigenvectors, and diagonalization. General vector spaces and linear transformations; change of basis and similarity. Additional Topics.

    Prerequisites: MATH019 HM or equivalent

  • Credits: 1.5

    Instructors: Bernoff, Castro, de Pillis, Jacobsen

    Offered: Spring, second half

    Description: This half course is a continuation of MATH065  HM and is designed to increase the depth and breadth of students' knowledge of differential equations. Topics include Existence and Uniqueness, Power Series and Frobenius Series Methods, Laplace Transform, and additional topics as time permits.

    Prerequisites: MATH065  HM. May not be taken by students who have completed MATH082 HM.

  • Credits: 3

    Instructor: Staff

    Offered: Fall

    Description: Modeling physical systems, first-order ordinary differential equations, existence, uniqueness, and long-term behavior of solutions; bifurcations; approximate solutions; second-order ordinary differential equations and their properties, applications; first-order systems of ordinary differential equations. Applications to linear systems of ordinary differential equations, matrix exponential; nonlinear systems of differential equations; equilibrium points and their stability. Additional topics.

    Prerequisites: (MATH019 HM and MATH073 HM) or equivalent 

  • Credit: 1

    Instructor: Martonosi

    Offered: Fall

    Description: This seminar meets one evening per week during which students solve and present solutions to challenging mathematical problems in preparation for the Mathematical Contest in Modeling (MCM) and Interdisciplinary Contest in Modeling (ICM), an international undergraduate mathematics competition. This course is not eligible for major elective credit in the HMC mathematics major.

  • Credit: 1

    Instructors: Bernoff, Omar, Pippenger, Su

    Offered: Fall

    Description: This seminar meets one evening per week during which students solve and present solutions to challenging mathematical problems in preparation for the William Lowell Putnam Mathematics Competition, a national undergraduate mathematics contest. This course is not eligible for major elective credit in the HMC mathematics major.

  • Credit: 1

    Instructors: Bernoff, Omar

    Offered: Spring

    Description: This seminar meets one evening per week during which students solve and present solutions to problems posed in mathematics journals, such as the American Mathematical Monthly. Solutions are submitted to these journals for potential publication.

  • Credits: 3

    Instructors: Martonosi, Omar, Orrison, Pippenger

    Offered: Alternate years

    Description: An introduction to graph theory with applications. Theory and applications of trees, matchings, graph coloring, planarity, graph algorithms, and other topics.

    Prerequisites: MATH073 HM and MATH055 HM 

  • Credits: 3

    Instructors: Benjamin, Omar, Orrison, Pippenger

    Offered: Alternate years

    Description: An introduction to the techniques and ideas of combinatorics, including counting methods, Stirling numbers, Catalan numbers, generating functions, Ramsey theory, and partially ordered sets.

    Prerequisites: MATH055 HM 

  • Credits: 3

    Instructor: Staff (Pitzer)

    Offered: Alternate years

    Description: A survey of the history of mathematics from antiquity to the present. Topics emphasized will include: the development of the idea of proof, the "analytic method" of algebra, the invention of the calculus, the psychology of mathematical discovery, and the interactions between mathematics and philosophy.

    Prerequisites: MATH019 HM 

  • Credits: 3

    Instructor: Staff (CMC)

    Offered: Alternate years

    Description: This is a first course in Mathematical Finance sequence. This course introduces the concepts of arbitrage and risk-neutral pricing within the context of single- and multi-period financial models. Key elements of stochastic calculus such as Markov processes, martingales, filtration, and stopping times will be developed within this context. Pricing by replication is studied in a multi-period binomial model. Within this model, the replicating strategies for European and American options are determined.

    Prerequisites: MATH073 HM and MATH082 HM 

  • Credits: 3

    Instructors: Bernoff, Weinburd, Yong

    Offered: Spring

    Description: Complex variables and residue calculus; Laplace transforms; Fourier series and the Fourier transform; Partial Differential Equations including the heat equation, wave equation, and Laplace's equation; Separation of variables; Sturm-Liouville theory and orthogonal expansions; Bessel functions. May not be included in a mathematics major program. Students may not receive credit for both Mathematics 115 and MATH180 HM.

    Prerequisites: MATH073 HM and MATH082 HM 

  • Credits: 3

    Instructors: Adolph (Biology), de Pillis, Jacobsen

    Description: Further study of mathematical models of biological processes, including discrete and continuous models. Examples are drawn from a variety of areas of biology, which may include physiology, systems biology, cancer biology, epidemiology, ecology, evolution, and spatiotemporal dynamics.

    Prerequisites: MCBI118A HM 

  • Credits: 3

    Instructors: Castro, de Pillis, Karp, Omar, Su, Zinn-Brooks H

    Offered: Jointly; Fall semester at HMC and Pomona, Spring semester at HMC and CMC

    Description: This course is a rigorous analysis of the real numbers and an introduction to writing and communicating mathematics well. Topics include properties of the rational and the real number fields, the least upper bound property, induction, countable sets, metric spaces, limit points, compactness, connectedness, careful treatment of sequences and series, functions, differentiation and the mean value theorem, and an introduction to sequences of functions. Additional topics as time permits.

    Prerequisites: MATH055 HM 

  • Credits: 3

    Instructors: Castro, Omar, Su, Staff (Pomona)

    Offered: Jointly; Fall semester at HMC, Spring semester at Pomona

    Description: A rigorous study of calculus in Euclidean spaces including multiple Riemann integrals, derivatives of transformations, and the inverse function theorem.

    Prerequisites: MATH131 HM 

  • Credits: 3

    Instructors: Bernoff, Jacobsen, Karp, Yong

    Offered: Fall

    Description: Complex differentiation, Cauchy-Riemann equations, Cauchy integral formulas, residue theory, Taylor and Laurent expansions, conformal mapping, Fourier and Laplace transforms, inversion formulas, other integral transforms, applications to solutions of partial differential equations.

    Prerequisites: MATH073 HM and MATH082 HM 

  • Credits: 3

    Instructors: Castro, Staff (Pomona), Staff (CMC)

    Offered: Fall

    Description: Abstract Measures, Lebesgue measure, and Lebesgue-Stieltjes measures on R; Lebesgue integral and limit theorems; product measures and the Fubini theorem; additional topics.

    Prerequisites: MATH132 HM 

  • Credits: 3

    Instructors: Castro, Omar, Staff (Pomona), Staff (CMC)

    Offered: Spring

    Description: Banach and Hilbert spaces; Lp spaces; complex measures and the Radon-Nikodym theorem.

    Prerequisites: MATH137 HM or MATH331 CG

  • Credits: 3

    Instructors: Gu, Karp, Staff (Pitzer)

    Offered: Fall

    Description: Curves and surfaces, Gauss curvature; isometries, tensor analy­sis, covariant differentiation with application to physics and geometry (intended for majors in physics or mathematics).

    Prerequisites: MATH073 HM and MATH082 HM 

  • Credits: 3

    Instructor: Gu

    Offered: Spring

    Description: Selected topics in Riemannian geometry, low dimensional manifold theory, elementary Lie groups and Lie algebra, and contemporary applications in mathematics and physics.

    Prerequisites: MATH131 HM and MATH142 HMMATH147 HM recommended

  • Credits: 3

    Instructors: Karp, Su, Staff (Pomona)

    Offered: Jointly with Pomona; Spring semester

    Description: Topology is the study of properties of objects pre­served by continuous deformations (much like geometry is the study of properties preserved by rigid motions). Hence, topology is sometimes called "rubber-sheet" geometry. This course is an introduction to point-set topology with additional topics chosen from geometric and algebraic topology. It will cover topological spaces, metric spaces, product spaces, quotient spaces, Hausdorff spaces, compactness, connectedness, and path connectedness. Additional topics will be chosen from metrization theorems, fundamental groups, homotopy of maps, covering spaces, the Jordan curve theorem, classification of surfaces, and simplicial homology.

    Prerequisites: MATH131 HM 

  • Credits: 3

    Instructor: Staff (Pitzer)

    Offered: Alternate years

    Description: An introduction to theory of knots and links from combinatorial, algebraic, and geometric perspectives. Topics will include knot diagrams, p-colorings, Alexander, Jones, and HOMFLY polynomials, Seifert surfaces, genus, Seifert matrices, the fundamental group, representations of knot groups, covering spaces, surgery on knots, and important families of knots.

    Prerequisites: MATH073 HM 

  • Credits: 3

    Instructors: Martonosi, Williams, Staff (Pomona), Staff (CMC)

    Offered: Jointly; Spring semester at Pomona and CMC

    Description: An introduction to the general theory of statistical inference, including estimation of parameters, confidence intervals, and tests of hypotheses.

    Prerequisites: MATH 157 HM 

  • Credits: 3

    Instructor: Williams

    Offered: Spring, alternate years

    Description: An introduction to principles of data analysis and advanced statistical modeling using Bayesian inference. Topics include a combination of Bayesian principles and advanced methods; general, conjugate and noninformative priors, posteriors, credible intervals, Markov Chain Monte Carlo methods, and hierarchical models. The emphasis throughout is on the application of Bayesian thinking to problems in data analysis. Statistical software will be used as a tool to implement many of the techniques.

    Prerequisites: Permission of instructor

  • Credits: 3

    Instructor: Williams

    Offered: Spring, alternate years

    Description: An introduction to the theory of statistical time series. Topics include decomposi­tion of time series, seasonal models, forecasting models including causal models, trend models, and smoothing models, autoregressive (AR), moving average (MA), and integrated (ARIMA) forecasting models. Time permitting, we will also discuss state space models, which include Markov processes and hidden Markov processes, and derive the famous Kalman filter, which is a recursive algorithm to compute predictions. Statistical software will be used as a tool to aid calculations required for many of the techniques.

    Prerequisites: Permission of instructor

  • Credits: 3

    Instructors: Benjamin, Martonosi, Staff (CMC)

    Offered: Jointly; Fall, alternate years at HMC

    Description: This course is particularly well-suited for those wanting to see how probability theory can be applied to the study of random phenomena in fields such as engineering, management science, the physical and social sciences, and opera­tions research. Topics include conditional expectation, Markov chains, Poisson processes, and queuing theory. Additional applications chosen from such topics as reliability theory, Brownian motion, finance and asset pricing, inventory theory, dynamic programming, and simulation.

    Prerequisites: MATH073 HM and MATH157 HM 

  • Credits: 1.5

    Instructors: Benjamin, Martonosi, Pippenger, Su, Williams

    Offered: Fall and Spring

    Description: Continuous random variables, distribution functions, joint density functions, marginal and conditional distributions, functions of random variables, conditional expectation, covariance and correlation, moment generating functions, law of large numbers, Chebyshev's theorem, and central-limit theorem. 

    Prerequisites: MATH019 HM 

  • Credits: 3

    Instructors: Martonosi, Williams, Staff (Pomona)

    Offered: Fall, alternate years

    Description: An introduction to linear regression including simple linear regression, multiple regression, variable selection, stepwise regression and analysis of residual plots and analysis of variance including one-way and two-way fixed effects ANOVA. Emphasis will be on both methods and applications to data. Statistical software will be used to analyze data.

    Prerequisites: Permission of instructor

  • Credits: 3

    Instructors: Bernoff, de Pillis, Yong

    Description: Computational techniques applied to problems in the sciences and engineering. Modeling of physical problems, computer implementation, analysis of results; use of mathematical software; numerical methods chosen from: solutions of linear and nonlinear algebraic equations, solutions of ordinary and partial differential equations, finite elements, linear programming, optimization algorithms, and fast-Fourier transforms.

    Prerequisites: MATH073 HMMATH082 HM, and CSCI060 HM 

  • Credits: 3

    Instructors: Bernoff, de Pillis, Pippenger, Yong

    Offered: Fall

    Description: An introduction to the analysis and computer implementation of basic numerical techniques. Solution of linear equations, eigenvalue prob­lems, local and global methods for non-linear equations, interpolation, approximate integra­tion (quadrature), and numerical solutions to ordinary differential equations.

    Prerequisites: MATH073 HM and MATH082 HM 

  • Credits: 3

    Instructors: Pippenger, Libeskind-Hadas (Computer Science), Staff (Pomona)

    Offered: Fall

    Description: Brief review of computability theory, followed by a rigorous treatment of complexity theory. The complexity classes P, NP, and the Cook-Levin Theorem. Approximability of NP-complete problems. The polynomial hierarchy, PSPACE-completeness, L and NL-completeness, #P-completeness. IP and Zero-knowledge proofs. Randomized and parallel complexity classes. The speedup, hierarchy, and gap theorems.

    Prerequisites: (CSCI060 HM or CSCI042 HM) and MATH055 HM 

  • Credits: 3

    Instructors: Pippenger, Boerkoel (Computer Science), Libeskind-Hadas (Computer Science), Monta​ñez (Computer Science), Schofield (Computer Science), Stone (Computer Science)

    Offered: Fall and Spring

    Description: Algorithm design, computer implementation, and analysis of efficiency. Discrete structures, sorting and searching, time and space complexity, and topics selected from algorithms for arithmetic circuits, sorting networks, parallel algorithms, computational geometry, parsing and pattern-matching.

    Prerequisites: (CSCI070 HM and CSCI081 HM) or ((CSCI060 HM or CSCI042 HM) and MATH131 HM))

  • Credits: 3

    Instructors: Karp, Lindo, Omar, Orrison, Staff (CMC), Staff (Pomona)

    Offered: Jointly; Fall semester at HMC and CMC, Spring semester at HMC and Pomona

    Description: Groups, rings, fields, and additional topics. Topics in group theory include groups, subgroups, quotient groups, Lagrange's theorem, symmetry groups, and the isomorphism theorems. Topics in Ring theory include Euclidean domains, PIDs, UFDs, fields, polynomial rings, ideal theory, and the isomorphism theorems. In recent years, additional topics have included the Sylow theorems, group actions, modules, representations, and introductory category theory.

    Prerequisites: MATH073 HM and MATH055 HM 

  • Credits: 3

    Instructors: Karp, Omar, Orrison, Su, Staff (Pomona)

    Offered: Jointly; Spring semester at HMC and Pomona

    Description: The topics covered will include polynomial rings, field extensions, classical constructions, splitting fields, algebraic closure, separability, Fundamental Theorem of Galois Theory, Galois groups of polynomials, and solvability.

    Prerequisites: MATH171 HM 

  • Credits: 3

    Instructors: de Pillis, Gu, Orrison

    Offered: Jointly in alternate years

    Description: Topics from among the following: Similarity of matrices and the Jordan form, the Cayley-Hamilton theorem, limits of sequences and series of matrices; the Perron-Frobenius theory of nonnegative matrices, estimating eigenvalues of matrices; stability of systems of linear differential equations and Lyapunov's Theorem; iterative solutions of large systems of linear algebraic equations.

    Prerequisites: MATH131 HM 

  • Credits: 3

    Instructors: Karp, Lindo, Omar, Orrison, Su

    Offered: Jointly; Spring semester at HMC and Pomona

    Description: The topics covered will include group rings, characters, orthogonality relations, induced representations, applications of representation theory, and other select topics from module theory.

    Prerequisites: MATH171 HM 

  • Credits: 3

    Instructors: Benjamin, Omar, Pippenger, Staff (Scripps)

    Offered: Spring; offered jointly Fall semester at Scripps

    Description: Properties of integers, congruences, Diophantine problems, quadratic reciprocity, number theoretic functions, primes.

    Prerequisites: MATH055 HM 

  • Credits: 3

    Instructors: Karp, Omar

    Offered: Fall, alternate years

    Description: Topics include affine and projective varieties, the Nullstellensatz, rational maps and morphisms, birational geometry, tangent spaces, nonsingularity and intersection theory. Additional topics may be included depending on the interest and pace of the class.

    Prerequisites: MATH171 HM; Previous courses in Analysis, Galois Theory, Differential Geometry, and Topology are recommended

  • Credits: 3

    Instructor: Gu

    Offered: Fall

    Description: Analysis of nonlinear large dynamic data including but not limited from automobiles, cell phones, robots, and unmanned aerial vehicles (UAVs). Visualization of such data using geometric methods, followed by representation in certain configuration spaces to capture the intrinsic non-linear relationship in the data. (For example, UAVs' data, including accelerometer and gyroscope data, obeys nonlinear kinematics and dynamics relationships, a curved 3-D sphere S3 can capture their rotations when we use unit quaternion representations. A traditional statistical correlation matrix cannot capture those nonlinear relations since a correlation matrix only captures linear relationships in the data.) Advanced geometric data analysis techniques including nonlinear Riemannian (non-Euclidean) distances for modeling such big data problems (as used for building a cost function). We will also demonstrate how to perform optimization techniques on curved configuration spaces by extending optimization methods such as gradient descent and Newton's method to such curved spaces. Application of learned techniques to solve real world problems involving big nonlinear dynamic data.

    Prerequisites: CSCI070 HM and (CSCI140 HM or MATH131 HM or MATH157 HM or MATH168 HM)

  • Credits: 3

    Instructors: Bernoff, Jacobsen, Weinburd, Zinn-Brooks H

    Offered: Fall

    Description: Partial Differential Equations (PDEs) including the heat equation, wave equation, and Laplace's equation; existence and uniqueness of solutions to PDEs via the maximum principle and energy methods; method of characteristics; Fourier series; Fourier transforms and Green's functions; Separation of variables; Sturm-Liouville theory and orthogonal expansions; Bessel functions.

    Prerequisites: MATH080 HM and MATH131 HM 

  • Credits: 3

    Instructors: Bernoff, Jacobsen, Zinn-Brooks H, Staff (Pomona)

    Offered: Jointly; Fall semester at Pomona, Spring semester at HMC in alternate years

    Description: Existence and uniqueness theorems for systems of differential equations, dependence on data, linear systems, fundamental matrices, asymptotic behavior of solutions, stability theory, and other selected topics, as time permits.

    Prerequisites: MATH115 HM or MATH180 HM 

  • Credits: 3

    Instructors: Bernoff, Castro, Jacobsen

    Offered: Spring, alternate years

    Description: Advanced topics in the study of linear and nonlinear partial differential equations. Topics may include the theory of distributions; Hilbert spaces; conservation laws, characteristics and entropy methods; fixed point theory; critical point theory; the calculus of variations and numerical methods. Applications to fluid mechanics, mathematical physics, mathematical biology, and related fields.

    Prerequisites: (MATH115 HM and MATH131 HM) or MATH180 HM; recommended MATH132 HM 

  • Credits: 3

    Instructors: Benjamin, Martonosi, Staff (CMC), Staff (Pomona)

    Offered: Fall

    Description: Linear, integer, non-linear and dynamic programming, classical optimization problems, and network theory.

    Prerequisites: MATH073 HM 

  • Credits: 3

    Instructor: Su

    Offered: Spring, alternate years

    Description: Basic concepts of game theory and social choice theory, representations of games, Nash equilibria, utility theory, non-cooperative games, cooperative games, voting games, paradoxes, Arrow's impossibility theorem, Shapley value, power indices, "fair division" problems and applications.

    Corequisites: MATH055 HM recommended

  • Credit: 1-3

    Instructor: Staff

    Description: A course devoted to exploring topics of current interest to faculty or students. Recent topics have included: Algebraic Geometry, Algebraic Topology, Convexity, Games and Gambling, Logic, Numerical Linear Algebra, and Mathematics of Big Data.

    Prerequisites: Dependent on topic

  • Credits: 3

    Instructor: Staff

    Offered: Fall and Spring

    Description: The Clinic Program brings together teams of students to work on a research problem sponsored by business, industry, or government. Teams work closely with a faculty advisor and a liaison provided by the sponsoring organization to solve complex, real-world problems using mathematical and computational methods. Students are expected to present their work orally and to produce a final report conforming to the publication standards of a professional mathematician. Students are expected to take the two semesters of Clinic within a single academic year.

  • Credit: 1-3

    Instructor: Staff

    Offered: Fall and Spring

    Description: Readings in special topics.

    Prerequisites: Permission of department or instructor 

  • Credits: 3

    Instructor: Staff

    Offered: Fall and Spring

    Description: Senior thesis offers the student, guided by the faculty advisor, a chance to experience a taste of the life of a professional research mathematician. The work is largely independent with guidance from the research advisor. The principal objective of the senior thesis program is to help you develop intellectually and improve your written and verbal communication skills. Students are expected to present their work orally and to produce a thesis conforming to the publication standards of a professional mathematician.

    Prerequisites: Permission of department

  • Credit: 1

    Instructors: Castro, Jacobsen, Orrison, Weinburd, Zinn-Brooks H, Zinn-Brooks L

    Offered: Fall and Spring

    Description: The goal of this course is to improve students' ability to communicate mathematics, both to a general and technical audience. Students will present material on assigned topics and have their presentations evaluated by students and faculty. This format simultaneously exposes students to a broad range of topics from modern and classical mathematics. Required for all majors; recommended for all joint CS-math majors and mathematical biology majors, typically in the junior year.

  • Credit: 0.5

    Instructor: Staff

    Offered: Fall and Spring

    Description: Students will attend weekly Claremont Math Colloquium, offered through the cooperative efforts of the mathematics faculty at The Claremont Colleges. Most of the talks discuss current research in mathematical sciences and are accessible to under­graduates. No more than 2.0 credits can be earned for departmental seminars/col­loquia. 

  • Credits: 3

    Instructor: Donaldson-Matasci (Biology)

    Description: An introduction to game theory, a branch of mathematics that studies strategic interactions between individuals, with applications in fields such as biology, economics and political science. The course will introduce classical game theory, representations of games and Nash equilibria. The second part of the course will focus on evolutionary game theory, equilibrium concepts, and the evolution of cooperation.

    Prerequisites: Permission of instructor

  • Credits: 1.5

    Instructors: Adolph (Biology), de Pillis (Mathematics), Zinn-Brooks L (Mathematics)

    Offered: Spring

    Description: An introduction to the field of mathematical biology. Continuous and discrete mathematical models of biological processes and their analytical and computational solutions. Examples may include models in epidemiology, ecology, cancer biology, systems biology, molecular evolution, and phylogenetics.

    Prerequisites: MATH073 HMMATH082 HM, and BIOL052 HM 

  • Credits: 1.5

    Instructors: Bush (Biology), Donaldson-Matasci (Biology), Libeskind-Hadas (Computer Science), Wu (Computer Science)

    Offered: Spring

    Description: An introduction to the field of computational biology. Algorithms for phylogenetic inference and computational methods for solving problems in molecular evolution and population genetics.

    Prerequisites: CSCI005 HM and BIOL052 HM 

  • Credit: 0.5

    Instructor: Staff

    Offered: Fall and Spring

    Description: Students registered for joint colloquium must attend a fixed number of colloquium talks during the semester in any field(s) related to their interests. The talks may be at any members of The Claremont Colleges or a nearby university and may be in any of a wide array of fields including biology, mathematics, computer science and other science and engineering disciplines including bioengineering, cognitive science, neuroscience, biophysics, and linguistics. Students enrolled in the joint colloquium are required to submit a short synopsis of each talk that they attend. No more than 2.0 credits can be earned for departmental seminars/col­loquia.