Undergraduate Programs

Mathematics is everywhere. It’s cliché, but it’s also true. A degree in mathematics will prepare you for jobs in statistics, actuarial sciences, mathematical modeling, cryptography, and mathematics education, as well as for graduate school leading to a research career in engineering, mathematics or statistics. Graduates from our program have found employment with many different types of companies including technology, engineering, and financial companies.

Here are some reasons/considerations you may want to major or minor in mathematics:

You like math and you’re good at it!

In the career you choose beyond Mines, you will be working 8 hours a day, 5 days a week, 50 weeks a year (at least!), so whatever you choose, be certain you enjoy it! When it comes to job satisfaction, you want to choose a career path that builds on your strengths and challenges you.

You want to pursue graduate school.

Professional graduate schools in medicine, law, business and engineering consider a mathematics degree great preparation because it develops problem-solving and analytical skills. Students who major in mathematics receive substantially higher than average scores on the GMAT and LSAT, according to a study by the National Institute of Education that compared the scores of 550,000 college students who took the LSAT or DMAT over a period of eighteen years.

You want to stand out in your specific field of engineering.

Having a double-major with mathematics allows you to apply the theories and systems of mathematics to a specific field. Even a minor in mathematics or statistics provides you with a stronger foundation than most of your peers. Students who pursue a minor or double major in mathematics still have a choice between Statistics or Computational and Applied Mathematics. These students are in high demand in the final years of their program, as research and internships call for students who understand the logical structure that underlies all scientific inquiry.

You want a job that pays well with lots of options.

Every year Career Cast ranks jobs according to the work environment, income, stress, and projected growth. Careers in mathematics and statistics have consistently ranked at the top. Whether you want to develop models and interpret their results or develop algorithms to expedite known processes, or work in the biotech industry, a strong background in mathematics will serve you well!

MATH100. INTRODUCTORY TOPICS FOR CALCULUS. 2.0 Semester Hrs.
(S) An introduction and/or review of topics which are essential to the background of an undergraduate student at CSM. This course serves as a preparatory course for the Calculus curriculum and includes material from Algebra, Trigonometry, Mathematical Analysis, and Calculus. Topics include basic algebra and equation solving, solutions of inequalities, trigonometric functions and identities, functions of a single variable, continuity, and limits of functions. Does not apply toward undergraduate degree or g.p.a. Prerequisite: none. 2 hours lecture, 2 semester hours.

MATH111. CALCULUS FOR SCIENTISTS AND ENGINEERS I. 4.0 Semester Hrs.
Equivalent with MACS111,
(I, II, S) First course in the calculus sequence, including elements of plane geometry. Functions, limits, continuity, derivatives and their application. Definite and indefinite integrals; Prerequisite: precalculus. 4 hours lecture; 4 semester hours. Approved for Colorado Guaranteed General Education transfer. Equivalency for GT-MA1.

MATH112. CALCULUS FOR SCIENTISTS AND ENGINEERS II. 4.0 Semester Hrs.
Equivalent with MACS112,MATH122,
(I, II, S) Vectors, applications and techniques of integration, infinite series, and an introduction to multivariate functions and surfaces. Prerequisite: Grade of C- or better in MATH111. 4 hours lecture; 4 semester hours. Approved for Colorado Guaranteed General Education transfer. Equivalency for GT-MA1.

MATH113. CALCULUS FOR SCIENTISTS AND ENGINEERS II – SHORT FORM. 1.0 Semester Hr.
(I, II) This is a bridge course for entering freshmen and new transfer students to CSM who have either a score of 5 on the BC AP Calculus exam or who have taken an appropriate Calculus II course at another institution (determined by a departmental review of course materials). Two, three and n-dimensional space, vectors, curves and surfaces in 3-dimensional space, cylindrical and spherical coordinates, and applications of these topics. Prerequisites: none. 1 hour lecture; 1 semester hour.

MATH122. CALCULUS FOR SCIENTISTS AND ENGINEERS II HONORS. 4.0 Semester Hrs.
Equivalent with MATH112,
(I, II) Same topics as those covered in MATH112 but with additional material and problems. Prerequisites: Grade of C- or better in MATH111. 4 hours lecture; 4 semester hours.

MATH198. SPECIAL TOPICS. 1-6 Semester Hr.
(I, II) Pilot course or special topics course. Topics chosen from special interests of instructor(s) and student(s). Usually the course is offered only once. Prerequisite: none. Variable credit; 1 to 6 credit hours. Repeatable for credit under different titles.

MATH199. INDEPENDENT STUDY. 1-6 Semester Hr.
(I, II) Individual research or special problem projects supervised by a faculty member, also, when a student and instructor agree on a subject matter, content, and credit hours. Prerequisite: ?Independent Study? form must be completed and submitted to the Registrar. Variable credit; 1 to 6 credit hours. Repeatable for credit.

MATH201. PROBABILITY AND STATISTICS FOR ENGINEERS. 3.0 Semester Hrs.
Equivalent with MATH323,
(I,II,S) This course is an introduction to Probability and Statistics, including fundamentals of experimental design and data collection, the summary and display of data, elementary probability, propagation of error, discrete and continuous probability models, interval estimation, hypothesis testing, and linear regression with emphasis on applications to science and engineering. Prerequisites: MATH112, MATH122 or concurrent enrollment in MATH113. 3 hours lecture; 3 semester hours.

MATH213. CALCULUS FOR SCIENTISTS AND ENGINEERS III. 4.0 Semester Hrs.
(I, II, S) Multivariable calculus, including partial derivatives, multiple integrals, and vector calculus. Prerequisites: Grade of C- or better in MATH112 or MATH122 or Concurrent Enrollment in MATH113. 4 hours lecture; 4 semester hours. Approved for Colorado Guaranteed General Education transfer. Equivalency for GT-MA1.

MATH214. CALCULUS FOR SCIENTIST AND ENGINEERS III – SHORT FORM. 1.0 Semester Hr.
(I, II) This is a bridge course for entering freshmen and new transfer students to CSM who have taken an appropriate Calculus III course at another institution (determined by a departmental review of course materials). Vector Calculus including line and surface integrals with applications to work and flux, Green’s Theorem, Stokes’ Theorem and the Divergence Theorem. 1 hour lecture; 1 semester hour.

MATH223. CALCULUS FOR SCIENTISTS AND ENGINEERS III HONORS. 4.0 Semester Hrs.
Equivalent with MACS223,
(II) Same topics as those covered in MATH213 but with additional material and problems. Prerequisite: Grade of C- or better in MATH122. 4 hours lecture; 4 semester hours.

MATH225. DIFFERENTIAL EQUATIONS. 3.0 Semester Hrs.
Equivalent with MACS225,MACS315,
(I, II, S) Classical techniques for first and higher order equations and systems of equations. Laplace transforms. Phase-plane and stability analysis of non-linear equations and systems. Applications from physics, mechanics, electrical engineering, and environmental sciences. Prerequisites: Grade of C- or better in MATH112 or MATH122 or Concurrent Enrollment in MATH113. 3 hours lecture; 3 semester hours.

MATH235. DIFFERENTIAL EQUATIONS HONORS. 3.0 Semester Hrs.
Equivalent with MACS325,
(II) Same topics as those covered in MATH225 but with additional material and problems. Prerequisite: Grade of C- or better in MATH112 or MATH122 or Concurrent Enrollment in MATH113. 3 hours lecture; 3 semester hours.

MATH298. SPECIAL TOPICS. 1-6 Semester Hr.
(I, II) Pilot course or special topics course. Topics chosen from special interests of instructor(s) and student(s). Usually the course is offered only once. Prerequisite: none. Variable credit; 1 to 6 credit hours. Repeatable for credit under different titles.

MATH299. INDEPENDENT STUDY. 1-6 Semester Hr.
(I, II) Individual research or special problem projects supervised by a faculty member, also, when a student and instructor agree on a subject matter, content, and credit hours. Prerequisite: ?Independent Study? form must be completed and submitted to the Registrar. Variable credit; 1 to 6 credit hours. Repeatable for credit.

MATH300. FOUNDATIONS OF ADVANCED MATHEMATICS. 3.0 Semester Hrs.
(I) (WI) This course is an introduction to communication in mathematics. This writing intensive course provides a transition from the Calculus sequence to theoretical mathematics curriculum in CSM. Topics include logic and recursion, techniques of mathematical proofs, reading and writing proofs. Prerequisites: MATH112 or MATH122. 3 hours lecture; 3 semester hours.

MATH301. INTRODUCTION TO ANALYSIS. 3.0 Semester Hrs.
Equivalent with MATH401,
(II) This course is a first course in real analysis that lays out the context and motivation of analysis in terms of the transition from power series to those less predictable series. The course is taught from a historical perspective. It covers an introduction to the real numbers, sequences and series and their convergence, real-valued functions and their continuity and differentiability, sequences of functions and their pointwise and uniform convergence, and Riemann-Stieltjes integration theory. Prerequisite: MATH300. 3 hours lecture; 3 semester hours.

MATH307. INTRODUCTION TO SCIENTIFIC COMPUTING. 3.0 Semester Hrs.
Equivalent with CSCI407,MATH407,
(I, II, S) This course is designed to introduce scientific computing to scientists and engineers. Students in this course will be taught various numerical methods and programming techniques to solve basic scientific problems. Emphasis will be made on implementation of various numerical and approximation methods to efficiently simulate several applied mathematical models. Prerequisites: MATH213 or MATH223 or MATH224. Co-requisites: MATH225 or MATH235. 3 hours lecture; 3 semester hours.

MATH310. INTRODUCTION TO MATHEMATICAL MODELING. 4.0 Semester Hrs.
(S) An introduction to modeling and communication in mathematics. A writing intensive course providing a transition from the core math sequence to the upper division AMS curriculum. Topics include a variety of mathematical and statistical modeling techniques. Students will formulate and solve applied problems and will present results orally and in writing. In addition, students will be introduced to the mathematics software that will be used in upper division courses. Prerequisites: MATH201 and MATH225. 3 hours lecture; 3 hours lab; 4 semester hours.

MATH332. LINEAR ALGEBRA. 3.0 Semester Hrs.
Equivalent with MACS332,
(I, II) Systems of linear equations, matrices, determinants and eigenvalues. Linear operators. Abstract vector spaces. Applications selected from linear programming, physics, graph theory, and other fields. Prerequisite: MATH213, MATH223 or MATH224. 3 hours lecture; 3 semester hours.

MATH334. INTRODUCTION TO PROBABILITY. 3.0 Semester Hrs.
Equivalent with MACS334,MACS434,
(I) An introduction to the theory of probability essential for problems in science and engineering. Topics include axioms of probability, combinatorics, conditional probability and independence, discrete and continuous probability density functions, expectation, jointly distributed random variables, Central Limit Theorem, laws of large numbers. Prerequisite: MATH213, MATH223 or MATH224. 3 hours lecture, 3 semester hours.

MATH335. INTRODUCTION TO MATHEMATICAL STATISTICS. 3.0 Semester Hrs.
Equivalent with MACS435,
(II) An introduction to the theory of statistics essential for problems in science and engineering. Topics include sampling distributions, methods of point estimation, methods of interval estimation, significance testing for population means and variances and goodness of fit, linear regression, analysis of variance. Prerequisite: MATH334. 3 hours lecture, 3 semester hours.

MATH340. COOPERATIVE EDUCATION. 3.0 Semester Hrs.
(I, II, S) (WI) Supervised, full-time engineering-related employment for a continuous six-month period (or its equivalent) in which specific educational objectives are achieved. Prerequisite: Second semester sophomore status and a cumulative grade point average of at least 2.00. 0 to 3 semester hours. Cooperative Education credit does not count toward graduation except under special conditions. Repeatable.

MATH398. SPECIAL TOPICS. 6.0 Semester Hrs.
(I, II) Pilot course or special topics course. Topics chosen from special interests of instructor(s) and student(s). Usually the course is offered only once. Prerequisite: none. Variable credit; 1 to 6 credit hours. Repeatable for credit under different titles.

MATH399. INDEPENDENT STUDY. 1-6 Semester Hr.
(I, II) Individual research or special problem projects supervised by a faculty member, also, when a student and instructor agree on a subject matter, content, and credit hours. Prerequisite: ?Independent Study? form must be completed and submitted to the Registrar. Variable credit; 1 to 6 credit hours. Repeatable for credit.

MATH408. COMPUTATIONAL METHODS FOR DIFFERENTIAL EQUATIONS. 3.0 Semester Hrs.
(I) This course is designed to introduce computational methods to scientists and engineers for developing differential equations based computer models. Students in this course will be taught various numerical methods and programming techniques to simulate systems of nonlinear ordinary differential equations. Emphasis will be on implementation of various numerical and approximation methods to efficiently simulate several systems of nonlinear differential equations. Prerequisite: MATH307. 3 hours lecture, 3 semester hours.

MATH424. INTRODUCTION TO APPLIED STATISTICS. 3.0 Semester Hrs.
(I) Linear regression, analysis of variance, and design of experiments, focusing on the construction of models and evaluation of their fit. Techniques covered will include stepwise and best subsets regression, variable transformations, and residual analysis. Emphasis will be placed on the analysis of data with statistical software. Prerequisites: MATH201 or MATH335 and MATH332 or MATH342. 3 hours lecture; 3 semester hours.

MATH431. MATHEMATICAL BIOLOGY. 3.0 Semester Hrs.
(I) This course will discuss methods for building and solving both continuous and discrete mathematical models. These methods will be applied to population dynamics, epidemic spread, pharmacokinetics and modeling of physiologic systems. Modern Control Theory will be introduced and used to model living systems. Some concepts related to self-organizing systems will be introduced. Prerequisite: MATH307, MATH310, MATH332 or MATH342.

MATH432. SPATIAL STATISTICS. 3.0 Semester Hrs.
(I) Modeling and analysis of data observed in a 2- or 3-dimensional region. Random fields, variograms, covariances, stationarity, nonstationarity, kriging, simulation, Bayesian hierarchical models, spatial regression, SAR, CAR, QAR, and MA models, Geary/Moran indices, point processes, K-function, complete spatial randomness, homogeneous and inhomogeneous processes, marked point processes. Prerequisite: MATH335. Corequisite: MATH424. 3 hours lecture; 3 semester hours.

MATH436. ADVANCED STATISTICAL MODELING. 3.0 Semester Hrs.
(II) Modern methods for constructing and evaluating statistical models. Topics include generalized linear models, generalized additive models, hierarchical Bayes methods, and resampling methods. Time series models, including moving average, autoregressive, and ARIMA models, estimation and forecasting, confidence intervals. Prerequisites: MATH335 and MATH424. 3 hours lecture; 3 semester hours.

MATH437. MULTIVARIATE ANALYSIS. 3.0 Semester Hrs.
(II) Introduction to applied multivariate techniques for data analysis. Topics include principal components, cluster analysis, MANOVA and other methods based on the multivariate Gaussian distribution, discriminant analysis, classification with nearest neighbors. Prerequisites: MATH335 or MATH201 and MATH332 or MATH342. 3 hours lecture; 3 semester hours.

MATH438. STOCHASTIC MODELS. 3.0 Semester Hrs.
(II) An introduction to stochastic models applicable to problems in engineering, physical science, economics, and operations research. Markov chains in discrete and continuous time, Poisson processes, and topics in queuing, reliability, and renewal theory. Prerequisite: MATH334. 3 hours lecture, 3 semester hours.

MATH439. SURVIVAL ANALYSIS. 3.0 Semester Hrs.
(I) Basic theory and practice of survival analysis. Topics include survival and hazard functions, censoring and truncation, parametric and non-parametric inference, hypothesis testing, the proportional hazards model, model diagnostics. Prerequisite: MATH335. 3 hours lecture; 3 semester hours.

MATH454. COMPLEX ANALYSIS. 3.0 Semester Hrs.
Equivalent with MACS454,
(II) The complex plane. Analytic functions, harmonic functions. Mapping by elementary functions. Complex integration, power series, calculus of residues. Conformal mapping. Prerequisite: MATH225 or MATH235 and MATH213 or MATH223 or MATH224. 3 hours lecture, 3 semester hours.

MATH455. PARTIAL DIFFERENTIAL EQUATIONS. 3.0 Semester Hrs.
(I, II) Linear partial differential equations, with emphasis on the classical second-order equations: wave equation, heat equation, Laplace’s equation. Separation of variables, Fourier methods, Sturm-Liouville problems. Prerequisites: MATH225 or MATH235 and MATH213 or MATH223 or MATH224. 3 hours lecture; 3 semester hours.

MATH457. INTEGRAL EQUATIONS. 3.0 Semester Hrs.
(I) This is an introductory course on the theory and applications of integral equations. Abel, Fredholm and Volterra equations. Fredholm theory: small kernels, separable kernels, iteration, connections with linear algebra and Sturm-Liouville problems. Applications to boundary-value problems for Laplace’s equation and other partial differential equations. Prerequisites: MATH332 or MATH342, and MATH455. 3 hours lecture; 3 semester hours.

MATH458. ABSTRACT ALGEBRA. 3.0 Semester Hrs.
(I) This course is an introduction to the concepts of contemporary abstract algebra and applications of those concepts in areas such as physics and chemistry. Topics include groups, subgroups, isomorphisms and homomorphisms, rings, integral domains and fields. Prerequisites: MATH300. 3 hours lecture; 3 semester hours.

MATH459. ASYMPTOTICS. 3.0 Semester Hrs.
Equivalent with MATH559,
(I) Asymptotic methods are used to find approximate solutions to problems when exact solutions are unavailable or too complicated to be useful. A broad range of asymptotic methods is developed, covering algebraic problems, integrals and differential equations. Prerequisites: MATH213 and MATH225. 3 hours lecture; 3 semester hours.

MATH472. MATHEMATICAL AND COMPUTATIONAL NEUROSCIENCE. 3.0 Semester Hrs.
(II) This course will focus on mathematical and computational techniques applied to neuroscience. Topics will include nonlinear dynamics, hysteresis, the cable equation, and representative models such as Wilson-Cowan, Hodgkin-Huxley, and FitzHugh-Nagumo. Applications will be motivated by student interests. In addition to building basic skills in applied math, students will gain insight into how mathematical sciences can be used to model and solve problems in neuroscience; develop a variety of strategies (computational, theoretical, etc.) with which to approach novel mathematical situations; and hone skills for communicating mathematical ideas precisely and concisely in an interdisciplinary context. In addition, the strong computational component of this course will help students to develop computer programming skills and apply appropriate technological tools to solve mathematical problems. Prerequisite: MATH331. 3 hours lecture; 3 semester hours.

MATH474. INTRODUCTION TO CRYPTOGRAPHY. 3.0 Semester Hrs.
Equivalent with CSCI474,
(II) This course is primarily oriented towards the mathematical aspects of cryptography, but is also closely related to practical and theoretical issues of computer security. The course provides mathematical background required for cryptography including relevant aspects of number theory and mathematical statistics. The following aspects of cryptography will be covered: symmetric and asymmetric encryption, computational number theory, quantum encryption, RSA and discrete log systems, SHA, steganography, chaotic and pseudo-random sequences, message authentication, digital signatures, key distribution and key management, and block ciphers. Many practical approaches and most commonly used techniques will be considered and illustrated with real-life examples. Prerequisites: CSCI262, MATH334/MATH335, MATH358. 3 credit hours.

MATH482. STATISTICS PRACTICUM (CAPSTONE). 3.0 Semester Hrs.
(II) This is the capstone course in the Statistics option. Students will apply statistical principles to data analysis through advanced work, leading to a written report and an oral presentation. Choice of project is arranged between the student and the individual faculty member who will serve as advisor. Prerequisites: MATH335 and MATH424. 3 hours lecture; 3 semester hours.

MATH484. MATHEMATICAL AND COMPUTATIONAL MODELING (CAPSTONE). 3.0 Semester Hrs.
(II) This is the capstone course in the Computational and Applied Mathematics option. Students will apply computational and applied mathematics modeling techniques to solve complex problems in biological, engineering and physical systems. Mathematical methods and algorithms will be studied within both theoretical and computational contexts. The emphasis is on how to formulate, analyze and use nonlinear modeling to solve typical modern problems. Prerequisites: MATH331, MATH307, and MATH455. 3 hours lecture; 3 semester hours.

MATH491. UNDERGRADUATE RESEARCH. 1-3 Semester Hr.
Equivalent with MACS491,
(I) (WI) Individual investigation under the direction of a department faculty member. Written report required for credit. Variable – 1 to 3 semester hours. Repeatable for credit to a maximum of 12 hours.

MATH492. UNDERGRADUATE RESEARCH. 1-3 Semester Hr.
(II) (WI) Individual investigation under the direction of a department faculty member. Written report required for credit. Prerequisite: none. Variable – 1 to 3 semester hours. Repeatable for credit to a maximum of 12 hours.

MATH498. SPECIAL TOPICS. 1-6 Semester Hr.
(I, II) Pilot course or special topics course. Topics chosen from special interests of instructor(s) and student(s). Usually the course is offered only once. Prerequisite: none. Variable credit; 1 to 6 credit hours. Repeatable for credit under different titles.

MATH499. INDEPENDENT STUDY. 1-6 Semester Hr.
(I, II) Individual research or special problem projects supervised by a faculty member, also, when a student and instructor agree on a subject matter, content, and credit hours. Prerequisite: ?Independent Study? form must be completed and submitted to the Registrar. Variable credit; 1 to 6 credit hours. Repeatable for credit.

Colorado School of Mines has over 180 student groups across campus, offering something for everyone. As you grow at Mines, you will discover that the more involved you become, the more you will benefit from your educational experiences inside and outside the classroom. The Department of Applied Mathematics & Statistics has four active student groups: the Math Club, the Society of Women in Mathematics (SWiM), the Actuarial Club, and Mines Mathematics and Computing Collaborative (MMCC). In addition, AMS hosts Tea Time most Mondays at 3 p.m., with coffee, cookies and conversation in Chauvenet 156.

Math Club

The Math Club of Colorado School of Mines is actually a consolidation of two chapters of national mathematics organizations: Kappa Mu Epsilon (KME) and the Society of Industrial & Applied Mathematics (SIAM). The Math Club helps build the undergraduate and graduate math community by hosting guest speakers from industry and academia, and fun events such as the annual Pi Mile Run and the Math Club-Physics Club challenge.

Society of Women in Math (SWiM)

The Society for Women in Mathematics (SWiM) is an organization focused on creating a community for women in mathematics at the Colorado School of Mines. The organization holds monthly meetings where members share food and conversation, listen to a faculty member or alumna tell her mathematical story, and hold a discussion over the presentation or other relevant topics.
If you want more information, join us on Mines Engage for regular communication about events.

Learn More

Mines Mathematics and Computing Collaborative (MMCC)

MMCC is a student-led outreach organization that aims to close the STEM exposure gap by offering inspiring, hands-on mathematics and computing workshops for high schoolers in the Denver area. MMCC’s membership consists of both undergraduate and graduate students from AMS, Computer Science, and Chemical and Biological Engineering (though all are welcome). The organization is run entirely by students, who both construct the workshops and perform the tasks that enable workshop success.

Ryan Sayers Memorial Scholarship and Ryan Sayers Memorial Award

In memory of Ryan Sayers, 1982-2003

Ryan Sayers was born in Colorado Springs on July 20, 1982. Before his sophomore year of high school, Ryan earned a perfect score on the math section of the SAT. Ryan attended Colorado School of Mines, and planned to graduate with degrees in both mathematics and physics. In June 2003, while climbing in the Wind River Mountain of Wyoming, Ryan was hit and killed by a lightning strike. He was twenty years old.

The Sayers family continues Ryan’s legacy at Mines, as he is remembered in the annual Ryan Sayers Memorial Pi Mile Fun Run each spring, in the computer laboratory named in his honor, and in the lives of the outstanding students who have received the Ryan Sayers Memorial Award or the Ryan Sayers Memorial Scholarship.

The Ryan Sayers Memorial Scholarship is awarded to a student majoring in Engineering Physics and/or Applied Mathematics or Statistics, while demonstrating excellence in coursework and creativity in undergraduate research.

Previous recipients:

• 2021-2022: Amandin Rabeendran
• 2020-2021: Nathaniel Craig, Benjamin Krawciw, Griffin Hampton
• 2019-2020: Griffin Hampton
• 2018-2019: Lindsey Nield and Galen Vincent
• 2017-2018: Jaden Davidson
• 2016-2017: Jonathon Helland
• 2015-2016: Mollie Murray
• 2014-2015: Jacob Neumann
• 2013-2014: Eric Jones
• 2012-2013: Eric Jones
• 2011-2012: Scott Deibert
• 2010-2011: William Anthony McCollum
• 2009-2010: William Anthony McCollum

The Ryan Sayers Memorial Award recognizes the outstanding academic achievements of a graduating student, majoring in engineering physics and/or applied mathematics and statistics, who has performed significant undergraduate research.

Previous recipients:

• 2021-2022: Benjamin Krawciw and Kaleigh Rudge
• 2020-2021: Merra Duggal
• 2019-2020: William Schenken
• 2018-2019: Lindsey Nield and Galen Vincent
• 2017-2018: Nathanael Smith
• 2017-2018: Connor Mattes
• 2016-2017: Anastasia Gladkina
• 2015-2016: Kerrek Stinson
• 2014-2015: Eric Jones
• 2013-2014: Andrew Colin Cook
• 2012-2013: Linnea K. Jones
• 2011-2012: Sara M. Clifton
• 2010-2011: Janeen Marie Neri
• 2009-2010: Kelly Anne Commeford
• 2008-2009: Benjamin James Jones
• 2007-2008: Rachel Renee Miller
• 2006-2007: Dimitri Robert Dounas-Frazer
• 2005-2006: Ann Hermundstad
• 2004-2005: Robert “Scott” Danford
• 2003-2004: Maxine von Eye

AMS Honor Fund Award

The Job/McAuliffe Award recognizes and honors Carol Job and Sharon McAuliffe, both of whom put a tremendous amount of effort into supporting students who struggled in their initial coursework or student life at Mines and ultimately became successful students due to the effort and attention of caring faculty. The recipient of this award will receive a plaque, a monetary reward, and support for a dinner with a faculty member who was instrumental in turning around the student’s performance at Mines. The winner will be asked to name his/her most inspirational faculty member at Mines and to provide a short essay narrating his/her story of perseverance through initial difficulties at Mines. Through this award, we hope to collect a library of stories that might serve as inspiration to future students who struggle in their initial coursework at Mines.

Previous recipients:

• 2021-2022: Haley Vinton
• 2020-2021: Christian Prather
• 2019-2020: Rathana Preap
• 2018-2019: Tara Braden
• 2017-2018: Izabel Aguiar
• 2016-2017: Clinton Parapat

Everett Award

The Professor Everett Award was established by 1942 petroleum engineering alumnus Frank Ausanka to honor the memory of James R. Everett, an outstanding former faculty member in mathematics at Mines.  The award is given each semester to a graduating senior in mathematics who demonstrates scholarship, leadership, community service and potential for the innovative application of mathematics to mineral engineering.  Recipients’ names are added to a display of the Madrid Codices of Leonardo da Vinci, located in the Rare Books Collection in Arthur Lakes Library.  The Codices are also a gift of Ausanka to the school.  In addition to the prestige attached to  the Professor Everett Award, each winner receives a gift of $500 funded by Ausanka.

Nominees must display leadership skills and valued involvement with the K-12 outreach program.

Previous recipients:

• 2021-2022: Griffin Hampton
• 2020-2021: James (Kael) Kleckner
• 2019-2020: Amit Rotem
• 2018-2019: Cooper Brown
• 2017-2018: Nicholas Rummel
• 2016-2017: Jessica Deters
• 2015-2016: John Wakefield
• 2015-2016: Kownoon Her
• 2014-2015: Sean Lopp
• 2014-2015: Sarah Verros
• 2013-2014: Anastasia Vladislavovna Shpurik
• 2012-2013: Karen M. Moxcey
• 2011-2012: Michael C. Firmin
• 2010-2011: Courtney H. Rohde
• 2007-2008: Teresa E. B. Davies
• 2007-2008: Sara Ellen McFarland
• 2007-2008: Bryan Alan Romero
• 2006-2007: Erin R. Griggs

Outstanding Graduating Senior Award

The Outstanding Graduating Senior Award recognizes a graduating senior with high scholastic achievements and active involvement in departmental and school activities. Two awards are given within the department – one for Computational and Applied Mathematics and one for Statistics. Recipients receive a plaque which is typically accompanied with a monetary award or special departmental gift.

Previous recipients:

• December 2022: Bora Basyildiz and Daniel Richards-Dinger
• May 2022: Lauren “Zoe” Baker and Ashley Gray
• December 2021: Claire Jordan and Amber Rexwinkle
• May 2021: Meera Duggal and Victoria (Tori) Marbois
• December 2020: Justin (Nico) Nicholas and Harrison Magee
• May 2020: Leah Reeder and Aidan Dykstal
• May 2019: Danielle Barna and Kate Bubar
• December 2018: John Alley and Matthew Baldin
• May 2018: Erica Dettmer-Radtke, Clayton Kramp
• December 2017: Jonathon Helland
• May 2017: Nicholas Koprowicz, Carrie Kralovec
• December 2016: Derek Smith
• May 2016: Taylor Chott, John Wakefield
• December 2015: Kelsey Kalmbach
• May 2015: Carson Kent, Eric Jones
• December 2014: Abigail Branch
• May 2014: Andrew Colin Cook
• December 2013: Kyle Geyser
• May 2013: Dylan Garth Denning, Lindsey Sharon Parr
• December 2012: Shad Allen
• May 2012: Sara Clifton
• December 2011: Michael Kasberg
• May 2011: Mitchell Scott Dushina, Janeen Marie Neri, Daniel E. Pascua, Joshua A. Warner
• December 2010: Gary Dean Scheid
• May 2010: Thea Ashley Gab, Sam A. Geldhof
• December 2009: Daniel Jacob Pearson
• May 2009: Benjamin James Jones, Thomas A. Cullison
• December 2008: Jonathan P. Hendricks, Kari Lee Macklin
• May 2008: Alyson Lin Burchardt, Jonathan Albert Maack, Rachel Renee Miller
• December 2007: Marianne L. Graham
• May 2007: Nathan F. Ostrander

Waltman Award

The William D. Waltman, 1899, Award is presented to the graduating senior whose conduct and scholarship have been most nearly perfect and who has most nearly approached the recognized characteristics of an American gentleman and/or lady during the recipient’s entire collegiate career.

To be eligible for this award, the graduating senior must:

• Be in the upper 10% of the graduating class
• Be American-born
• Not be involved in disciplinary matters
• Have completed at least four years of courses
• Have been in-residence for six regular semesters

Students must write a letter to the Awards Committee addressing their school, community activities, interests and thoughts about attending CSM and future plans. They must also submit a current resume, letter of reference from advisor or professor in their major. If it’s a transfer student, they need to specify the college they previously attended and the number of semesters enrolled at Mines (excluding summer sessions). One award is given from the entire graduating senior pool during spring commencement.

Previous AMS recipients:

• 2021-2022: Lauren “Zoe” Baker
• 2019-2020: Leah Reeder
• 2015-2016: Taylor Chott and John “Jack” Wakefield
• December 2015: Kelsey Kalmbach
• May 2015: Eric Jones
• December 2014: Abby Branch

Society for Women in Mathematics – FAST Scholarship

The FAST Scholarship is a scholarship for an AMS major (undergraduate) who is also a member of SWiM. FAST Enterprises is an industry leader in the development and installation of software for government agencies. FAST is headquartered in Greenwood Village and has provided corporate sponsorship for SWiM. FAST is interested in young women with leadership skills and a possible interest in the CS industry.

Previous recipients:

• 2022-2023: Allison Comer
• 2021-2022: Julia Eiken
• 2020-2021: Azlan Tubbs
• 2019-2020: Shannon Bride
• 2018-2019: Fuikwan (Vivian) Wong
• 2017-2018: Kaitlyn Mobley
• 2016-2017: Grace Halbach
• 2015-2016: Chelsae Cameron

 Professor Willy Hereman Scholarship

The Professor Willy Hereman Endowed Scholarship is presented to a student studying Applied Mathematics and Statistics who strives for excellence in scholarship, research and/or departmental involvement.   The Scholarship was established by Dr. Douglas E. Baldwin, Mines BS ’03, MS ’04, in appreciation of Dr. Hereman’s mentorship and inspiration.  Dr. Baldwin expressed his appreciation:  “When I heard that Professor Willy Hereman was retiring, I decided to endow a scholarship in his name in 2018 so he could keep inspiring and helping students. Since Willy was the first in his family to go to college, I included a preference for undergraduate or graduate math students who are first generation students.”

Previous recipients are:

• 2022-2023: Bora Basyildiz
• 2021-2022: Samuel Koller
• 2020-2021: Laura Albrecht
• 2019-2020: Haley Vinton
• 2018-2019: David Kozak