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Name	Position	Email	Phone Number
Prof. Larry Washington	Associate Chair, Undergraduate Studies	lcw [AT] umd [DOT] edu	301-405-5056
Prof. Denny Gulick	Associate Chair, Scheduling	dng [AT] math [DOT] umd [DOT] edu	301-405-5157
Prof. James Schafer	Associate Chair, Scheduling	jas [AT] umd [DOT] edu	301-405-5164
Ida Chan	Academic Advisor	ichan [AT] umd [DOT] edu	301-405-7582
Dr. Kate Truman	Academic Advisor/Lecturer (Transfer Credits)	math-ugadvisor [AT] umd [DOT] edu	301-405-4362
Jacqueline Dwyer-Xec	Administrative Coordinator (Course Scheduling)	jwickham [AT] umd [DOT] edu	301-405-5054
Martha Hopkins	Administrative Assistant (Textbook Coordinator, Order Teaching Supplies)	mrh [AT] math [DOT] umd [DOT] edu	301-405-5053

{slide= MATH 003 (Developmental Mathematics)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 010 (Algebra for MATH 110)|noscroll|closed} Text(s):

Intermediate Algebra Review, a Small Group Approach, by Debra Gray Franklin. Custom Published by Thomson, 2002. ISBN: 0759336245 (Current) (F06)(Sp07)(F07)(Sp08) (F08)(Sp09)(F09) (Sp10) (F10) (Sp11) (F11)
Finite Mathematics , by Waner and Costenoble. Published by Thomson Learning, 2004. ISBN: 111629447 (New Custom Edition - Fall 2010) (Current) (F06)(Sp07)(F07)(Sp08) (F08)(Sp09) (F09) (Sp10)(F10)(Sp11) (F11)
{/slides} {slide= MATH 011 (Algebra for MATH 111)|noscroll|closed} Text(s):

Intermediate Algebra Review, a Small Group Approach, by Debra Gray Franklin. Custom Published by Thomson, 2002. ISBN: 0759336245 (Current) (F06) (Sp07)(F07)(Sp08) (F08)(Sp09) (F09)(Sp 10)(F10)(Sp11) (F11)
Introduction to Probability,by S.T. Tan. Custom Published by CENGAGE Learning. ISBN: 1133397514 (New Custom Edition Fall 2011) (Current) (F06)(Sp07) (F07)(Sp08) (F08)(Sp09)(F09)(Sp10)(F10)(Sp11) (F11)
{/slides} {slide= MATH 013 (Algebra for MATH 113)|noscroll|closed} Text(s):

Intermediate Algebra Review, a Small Group Approach, by Debra Gray Franklin. Custom Published by Thomson, 2002. ISBN: 0759336245 (Current) (F06) (Sp07)(F07) (Sp08) (F08) (Sp09)(F09) (Sp10)(F10)(Sp11) (F11)
College Algebra, by Robert Blitzer. Published by Prentice Hall. ISBN: 05558470114 (New Custom Bundle Set) (Current) (F06)(Sp07)(F07)(Sp08) (F08)(Sp09)(F09)(Sp10)(F10)(Sp11) (F11)
Supplement: Resource Manual, MATH 113, College Algebra with Applications, 3rd Edition, by J. Stone. Published by Kendall Hunt. ISBN: 9780757541582 (F06) (Sp07) (F07) (Sp08) (F08) (Sp09) (F09) (Sp10) (F10) (Sp11)
{/slides} {slide= MATH 015 (Algebra for MATH 115)|noscroll|closed} Text(s):

Intermediate Algebra Review, a Small Group Approach, by Debra Gray Franklin. Custom Published by Thomson, 2002. ISBN: 0759336245 (Current) (F06)(Sp07)(F07)(Sp08) (F08)(Sp09)(F09)(Sp10)(F10)(Sp11) (F11)
Pre-Calculus: Mathematics for Calculus, by J. Stewart, L. Redlin and S. Watson. Published by Brooks/Cole. ISBN: 1133393845 (New Custom Bundle Set Fall 2011) (Current) (F06) (Sp07) (F07)(Sp08) (F08)(Sp09)(F09)(Sp10)(F10) (Sp11) (F11)
{/slides} {slide= MATH 110 (Elementary Mathematical Models)|noscroll|closed} Text(s):

Finite Mathematics -by Waner and Costenoble. Published by Thomson Learning, 2004. ISBN: 111629447 (New Custom Edition - Fall 2010) (Current) (F06)(Sp07) (F07)(Sp08)(Sum08)(F08)(Sp09) (Sum09)(F09)(Sp10)(F10)(Sp11) (F11)
{/slides} {slide= MATH 111 (Introduction to Probability)|noscroll|closed} Text(s):

Introduction to Probability, by S.T. Tan. Custom Published by CENGAGE Learning. ISBN: 0495214442 (F06)(Sp07) (F07)(Sp08) (Sum08) (Sp09) (Sum09)
Introduction to Probability, by S.T. Tan. Custom Published by CENGAGE Learning. ISBN: 1133397514 (New Custom Edition Fall 2011)(Current) (F09) (Sp10) (F10) (Sp11) (F11)
Finite Mathematics Student Solution Manual, by S.T. Tan. Published by CENGAGE Learning. ISBN: 1133363075(New Custom Edition 2011 (Current) (F09)(Sp10)(F10) (Sp11) (F11)
{/slides} {slide= MATH 112 (College Algebra with Applications and Trigonometry)|noscroll|closed} Text(s):

Algebra & Trigonometry, (New Custom Bundle Set Edition) by Robert Blitzer. Published by Prentice Hall. ISBN: 0558216447 (Current) (F06) (F07) (F08)(Sp09)(F09) (Sp10) (F10)(Sp11) (F11)
Supplement: Resource Manual, MATH 113, College Algebra with Applications, 3rd Edition, by J. Stone. Published by Kendall Hunt. ISBN: 9780757541582 (Current) (F06) (F07)(F08)(Sp09)(F09)(Sp10)(F10)(Sp11)
{/slides}{slide= MATH 113 (College Algebra with Applications)|noscroll|closed} Text(s): College Algebra, 4th Edition, by Robert Blitzer. Published by Prentice Hall. ISBN: 978-0536502094(Bundle Set) (F06)(Sp07)(F07)(Sp08) (Sum08) (F08)(Sp09)(Sum09) College Algebra,by Robert Blitzer. Published by Prentice Hall. ISBN: 0558470114 (New Custom Bundle Set Edition)( Current) (F09)(Sp10) (F10)(Sp11) (F11) Supplement: Resource Manual, MATH 113, College Algebra with Applications, 3rd Edition, by J. Stone. Published by Kendall Hunt. ISBN: 9780757541582(F06) (Sp07)(F07)(Sp08) (Sum08)(F08)(Sp09) (Sum09)(F09)(Sp10) (F10) (Sp11) {/slides}  {slide= MATH 115 (Pre-Calculus)|noscroll|closed}

Description: MATH 115 is a preparation for Calculus, either MATH 220 (for which Math 113 is an alternate prerequisite) or MATH 140, with a focus on functions and graphs and algebraic techniques preparatory to calculus.  The functions studied include polynomials, rational functions, exponential and logarithmic functions, and trigonometric functions.

Prerequisites: Satisfactory score on Math Department placement exam, completion of the appropriate module of MATH 003, or completion of Math 113. 

Textbook: Pre-Calculus: Mathematics for Calculus,  by J. Stewart, L. Redlin and S. Watson. Published by Brooks/Cole.  ISBN: 1133393845

Topics: 

Algebra 

        Inequalities 
        Absolute value inequalities 
        Table of signs for polynomial and rational inequalities 
Functions 
         Domain 
         Operations including compositions 
         Inverses 
         Graphs 
         Symmetry 
         Transformations:  Shifts, reflections, stretching and shrinking 
Quadratic functions and equations 
          Applications involving quadratic equations 
          Parabolas 
          Extreme value problems 
          Quadratic related equations including radical equations 
Polynomials 
          Shape of graph 
          Writing polynomial functions with specific properties 
          Using a graphing calculator to draw complete graphs 
Rational functions 
          Finding intercepts and asymptotes 
          Graphing with and without calculator 
Conic sections 
          Standard equations for parabolas, circles, ellipses, and hyperbolas, shifts of conic sections  
          (if time allows) 
Exponential and Logarithmic functions 
          Definition 
          Graphs 
          Exponent rules 
          Laws of logarithms 
          Exponential and logarithmic equations 
          Exponential growth and decay 
Trigonometry 
        Angles 
        Radian and degree measurement of angles 
        Arc length and angular speed 
Trigonometric functions 
        Circle, point, and right-triangle definitions of functions 
        Graphs of trig functions 
        Sinusoidal graphs 
Solving triangles 
        Right triangles 
        Law of Cosines 
        Law of Sines 
Trigonometric identities 
        Reciprocal identities 
        Pythagorean identities 
        Negative-angle identities 
        Periodicity identities 
        Sine and cosine addition and subtraction identities 
        Double-angle identities 
        Power-reducing identities 
Trigonometric equations 
        Finding algebraic solutions 
        Finding calculator solutions

(A graphing calculator such as the TI- 83, is required for Math 115.  It is used in exploring the graphs of functions and equations and in solving problems.

{/slides} {slide= MATH 130 (Calculus for Life Sciences I)|noscroll|closed} 

WEBSITE: Pilachowski's Spring 2012 Class

TEXTBOOKS: Calculus with Applications for the Life Sciences, by R. Greenwell, N. Ritchey, M. Lial.  Published by Addison Wesley.  ISBN: 0201745828

Solutions Manual for Calculus for the Life Sciences - (OPTIONAL) by R. Greenwell, N. Ritchey, M. Lial.  Published by Addison Wesley.  ISBN: 0201770172

DESCRIPTION: This is a first-semester course in calculus with applications in biology and life-sciences.

PREREQUISITES: A grade of C or better in MATH 112, MATH113, or MATH115; or permission of department based on 3 1/2 years of college preparatory mathematics (including trigonometry) and satisfactory performance on the MATHEMATICS PLACEMENT EXAM

TOPICS

Exponential and Logarithmic Functions and Applications (Growth and Decay)

Trigonometric Functions

Limits, Continuity and Rates of Change

Definition of the Derivative

Techniques for Finding Derivatives, Derivatives of Products and Quotients

The Chain Rule

Derivatives of Exponential, Logarithmic and Trigonometric Functions

Increasing and Decreasing Functions

Relative Extrema

Higher Derivatives and Concavity

Curve Sketching

Absolute Extrema and Applications of Extrema

Implicit Differentiation

Related Rates

Anti-derivatives

Substitutions

Area and Definite Integral

Fundamental Theorem of Calculus

Integrals of Trigonometric Functions

{/slides} {slide= MATH 131 (Calculus for Life Sciences II)|noscroll|closed} Text(s):

Calculus with Applications for the Life Sciences, by R. Greenwell, N. Ritchey, M. Lial. Published by Addison Wesley. ISBN: 0201745828 (Current) (Sp09)(F09) (Sp10)(F10)(Sp11) (F11)
Solutions Manual for Calculus for the Life Sciences - (OPTIONAL) by R. Greenwell, N. Ritchey, M. Lial. Published by Addison Wesley. ISBN: 0201770172 (Current) (Sp09)(F09) (Sp10)(F10)(Sp11) (F11)
Modeling the Dynamics of Life, by Frederick R. Adler. Published by CENGAGE Learning. ISBN: 0534404863 (F08) (Sp09)
{/slides} {slide= MATH 140 (Calculus I)|noscroll|closed} Text(s):

Calculus, by R. Ellis and D. Gulick. Published by CENGAGE Learning. ISBN: 978-1-1-3343675-1 (New Custom Edition Fall 2011) (Current) (F11)
Calculus Student Solutions Manual, by R. Ellis and D. Gulick. Published by CENGAGE Learning. ISBN: 978-0-7-5933177-8 (OPTIONAL) (Current)
(F06)(Sp07)(F07)(Sp08) (Sum08) (F08)(Sp09)(Sum09) (F09) (Sp10)(F10)(Sp11) (F11)
Calculus, 6th Edition, by R. Ellis and D. Gulick. Published by Thomson Learning. ISBN: 978-0-7-5931379-8(F06)(Sp07)(F07)(Sp08) (Sum08) (F08)(Sp09)(Sum09) (F09) (Sp10)(F10)(Sp11)
{/slides} {slide= MATH 140H (Calculus I Honors)|noscroll|closed} Text(s):

Calculus, by R. Ellis and D. Gulick. Published by CENGAGE Learning. ISBN: 978-1-1-3343675-1 (New Custom Edition Fall 2011) (Current) (F11)
Calculus Student Solutions Manual, by R. Ellis and D. Gulick. Published by CENGAGE Learning. ISBN: 978-0-7-5933177-8 (OPTIONAL) (Current)
(F06)(Sp07)(F07)(Sp08) (Sum08) (F08)(Sp09)(Sum09) (F09) (Sp10)(F10)(Sp11) (F11)
Calculus, 6th Edition, by R. Ellis and D. Gulick. Published by Thomson Learning. ISBN: 978-0-7-5931379-8(F06)(Sp07)(F07)(Sp08) (Sum08) (F08)(Sp09)(Sum09) (F09) (Sp10)(F10)(Sp11)
{/slides} {slide= MATH 141 (Calculus II)|noscroll|closed} Text(s):

Calculus, by R. Ellis and D. Gulick. Published by CENGAGE Learning. ISBN: 978-1-1-3343675-1 (New Custom Edition Fall 2011) (Current) (F11)
Calculus Student Solutions Manual, by R. Ellis and D. Gulick. Published by CENGAGE Learning. ISBN: 978-0-7-5933177-8 (OPTIONAL) (Current)
(F06)(Sp07)(F07)(Sp08) (Sum08) (F08)(Sp09)(Sum09) (F09) (Sp10)(F10)(Sp11) (F11)
Calculus, 6th Edition, by R. Ellis and D. Gulick. Published by Thomson Learning. ISBN: 978-0-7-5931379-8 (F06)(Sp07)(F07)(Sp08) (Sum08)
(F08)(Sp09)(Sum09) (F09)(Sp10)(F10)(Sp11)
{/slides} {slide= MATH 141H (Calculus II Honors)|noscroll|closed} Text(s):

Calculus, by R. Ellis and D. Gulick. Published by CENGAGE Learning. ISBN: 978-1-1-3343675-1 (New Custom Edition Fall 2011) (Current) (F11)
Calculus Student Solutions Manual, by R. Ellis and D. Gulick. Published by CENGAGE Learning. ISBN: 978-0-7-5933177-8 (OPTIONAL) (Current)
(F06)(Sp07)(F07)(Sp08) (Sum08) (F08)(Sp09)(Sum09) (F09) (Sp10)(F10)(Sp11) (F11)
Calculus, 6th Edition, by R. Ellis and D. Gulick. Published by Thomson Learning. ISBN: 978-0-7-5931379-8 (F06)(Sp07)(F07)(Sp08) (Sum08)
(F08)(Sp09)(Sum09) (F09)(Sp10)(F10)(Sp11)
{/slides} {slide= MATH 206 (Introduction to MATLAB)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 212 (Elements of Numbers and Operations)|noscroll|closed} Text(s):

Mathematics for Elementary School Teachers, (New Custom 3rd Edition) by Beckmann, Published by Addison Wesley. ISBN: 0321654277 (New Custom 3rd Edition Bundle Set) (Current) (F10) (Sp11) (F11)
Mathematics for Elementary School Teachers, (Bundle Set) by Beckmann, Published by Addison Wesley. ISBN: 0321447174 (F06)(Sp07) (F07)(Sp08) (Sum08)(F08)(Sp09)(Sum09) (F09)(Sp10)
{/slides} {slide= MATH 213 (Elements of Geometry and Measurement)|noscroll|closed} Text(s):

Mathematics for Elementary School Teachers, (New Custom 3rd Edition) by Beckmann, Published by Addison Wesley. ISBN: 0321646967 (Current) (Sp11) (F11)
Mathematics for Elementary School Teachers, (Bundle Set) by Beckmann, Published by Addison Wesley. ISBN: 0321447174 (F06) (Sp07)(F07) (Sp08) (Sum08)(F08)(Sp09)(Sum09) (F09)(Sp10)(F10)
{/slides} {slide= MATH 214 (Elements of Probability and Statistics)|noscroll|closed} Text(s):

Intro Stats, 3rd Ed., by Deveaux, Velleman & Bock. Published by Addison Wesley. ISBN: 0321500458 (New Custom Ed.) (Current) (F08) (Sp09)(F09)(Sp10)(F10)(Sp11) (F11)
Mathematics for Elementary Teachers Activities Manual, (New Custom 3rd Edition) by Beckmann. Published by Addison Wesley. ISBN: 0321449762 (Current) (Sp11) (F11)
Mathematics for Elementary Teachers Activities Manual, (New Custom Edition) by Beckmann. Published by Addison Wesley. ISBN: 0321449762 (F06)(Sp07)(F07)(Sp08) (F08)(Sp09)(F09)(Sp10)(F10)
Statistical Reasoning for Everyday Life, 2nd Ed., by Bennett, Briggs, Triola. Published by Addison Wesley. ISBN: 0201771284(F06) (Sp07)(F07)(Sp08)
Student Solutions Manual for Statistical Reasoning, etc. ISBN: 020183846X (F06)(Sp07) (F07) (Sp08)
{/slides} {slide= MATH 220 (Elementary Calculus I)|noscroll|closed} Text(s):

Calculus and its Applications, (New 12th Edition Bundle Set) by Goldstein, D. Lay and D. Schneider. Published by Prentice Hall. ISBN: 0321643658 (Current) (F09) (Sp10)(F10)(Sp11) (F11)
Calculus and its Applications, 11th Edition, by Goldstein, D. Lay, and D. Schneider. Published by Prentice Hall, 2004. ISBN: 0131746251 (Current)(F06)(Sp07)(F07)(Sp08) (Sum08)(F08) (Sp09) (Sum09)
Study Guide with Selected Applications and Visual Calculus, 11th Edition, by D. Lay and D. Schneider. Published by Prentice-Hall, 2004. (bundle with textbook) (Current)(F06)(Sp07)(F07) (Sp08) (Sum08)(F08)(Sp09) (Sum09)
{/slides} {slide= MATH 221 (Elementary Calculus II)|noscroll|closed} Text(s):

Calculus and its Applications, (New 12th Edition Bundle Set) by Goldstein, D. Lay and D. Schneider. Published by Prentice Hall. ISBN: 0321643658 (Current) (Sp10)(F10)(Sp11) (F11)
Calculus and its Applications, 11th Edition, by Goldstein, D. Lay, and D. Schneider. Published by Prentice-Hall, 2004. ISBN: 0131746251 (Sp07)(F07) (Sp08) (Sum08)(F08)(Sp09)(Sum09) (F09)
Study Guide with Selected Applications and Visual Calculus, 11th Edition, by D. Lay and D. Schneider. Published by Prentice-Hall, 2004. (bundle with textbook) (Sp07) (F07) (Sp08) (Sum08) (F08) (Sp09) (Sum09) (F09)
{/slides} {slide= MATH 240 (Introduction to Linear Algebra)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 241 (Calculus III)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 241H (Calculus III)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 242 (Numerical Techniques in Engineering)[No longer offered]|noscroll|closed} Stuff in slide {/slides} {slide= MATH 246 (Differential Equations for Scientists and Engineers)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 274 (History of Mathematics)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 307 (A Condensed Introduction to Analysis)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 310 (Introduction to Analysis )|noscroll|closed} Stuff in slide {/slides} {slide= MATH 340 (Multivariable Calculus, Linear Algebra & Differential Equations I: Honors)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 341 (Multivariable Calculus, Linear Algebra & Differential Equations II: Honors)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 350 and 351 (Honors Analysis I and II)[No longer offered]|noscroll|closed} Stuff in slide {/slides} {slide= MATH 400 (Vectors and Matrices)[No longer offered]|noscroll|closed} Stuff in slide {/slides} {slide= MATH 401 (Applications of Linear Algebra)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 402 (Algebraic Structures)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 403 (Abstract Algebra)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 404 (Field Theory)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 405 (Linear Algebra)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 406 (Introduction to Number Theory)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 410 (Advanced Calculus I)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 411 (Advanced Calculus II)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 412 (Advanced Calculus with Applications)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 414 (Ordinary Differential Equations)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 416 (Applied Harmonic Analysis: An Introduction to Signal Processing)|noscroll|closed} Stuff in slide {/slides} {slide= MATH/AMSC 420 (Mathematical Modeling)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 424 (Introduction to the Mathematics of Finance)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 430 (Euclidean and Non-Euclidean Geometries)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 431 (Geometry for Computer Graphics)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 432 (Introduction to Topology)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 436 (Differential Geometry of Curves and Surfaces I)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 437 (Diffential Forms and their Applications) (previously "Differential Geometry of Curves and Surfaces II")|noscroll|closed} Stuff in slide {/slides} {slide= MATH 445 (Elementary Mathematical Logic)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 446 (Axiomatic Set Theory)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 447 (Introduction to Mathematical Logic)[No longer offered]|noscroll|closed} Stuff in slide {/slides} {slide= MATH 450 (Logic for Computer Science)[No longer offered]|noscroll|closed} Stuff in slide {/slides} {slide= MATH/AMSC 452 (Introduction to Dynamics and Chaos)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 456 (Cryptology)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 461 (Linear Algebra for Scientists and Engineers)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 462 (Partial Differential Equations for Scientists and Engineers)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 463 (Complex Variables for Scientists and Engineers)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 464 (Transform Methods for Scientists and Engineers)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 470 (Mathematics for Secondary Education)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 475 (Combinatorics and Graph Theory)|noscroll|closed} Stuff in slide {/slides} {slide= MATH 489 (Research Interactions in Mathematics)|noscroll|closed} Stuff in slide {/slides}

STAT (Probability/Statistics) Courses

{slide= STAT 100 (Elementary Statistics and Probability)|noscroll|closed} Stuff in slide {/slides} {slide= STAT 400 (Applied Probability and Statistics I)|noscroll|closed} Stuff in slide {/slides} {slide= STAT 401 (Applied Probability and Statistics II)|noscroll|closed} Stuff in slide {/slides} {slide= STAT 405 (Stochastic Models for Queues and Networks)[No longer offered]|noscroll|closed} Stuff in slide {/slides} {slide= STAT 410 (Introduction to Probability Theory)|noscroll|closed} Stuff in slide {/slides} {slide= STAT 420 (Introduction to Statistics)|noscroll|closed} Stuff in slide {/slides} {slide= STAT 430 (Introduction to Statistical Computing with SAS)|noscroll|closed} Stuff in slide {/slides} {slide= STAT 440 (Sampling Theory)|noscroll|closed} Stuff in slide {/slides} {slide= STAT 450 (Regression and Variance Analysis)[No longer offered]|noscroll|closed} Stuff in slide {/slides} {slide= STAT 464 (Introduction to Biostatistics)|noscroll|closed} Stuff in slide {/slides} {slide= STAT 470 (Actuarial Mathematics)|noscroll|closed} Stuff in slide {/slides}
AMSC (Applied Math) Courses

{slide= MATH/AMSC 420 (Mathematical Modeling)|noscroll|closed} Stuff in slide {/slides} {slide= MATH/AMSC 452 (Introduction to Dynamics and Chaos)|noscroll|closed} Stuff in slide {/slides} {slide= AMSC 460 (Computational Methods)|noscroll|closed} Stuff in slide {/slides} {slide= AMSC 466 (Introduction to Numerical Analysis)|noscroll|closed} Stuff in slide {/slides} {slide= AMSC 477 (Optimization)[No longer offered]|noscroll|closed} Stuff in slide {/slides}

What is Actuarial Science
On choosing the Actuarial track
Actuarial advising
Overview of actuarial exams and related courses
Campus course selection
General plan of study
Actuarial FAQs
Further information, including Web links

What is Actuarial Science?

Actuarial Science is the subject at the interface of mathematics and business relating to the valuation of risks and Insurance. Actuaries find employment in the Insurance industry, as professionals and consultants employed to certify the financial soundness of pension and insurance plans, and in government agencies such as the Social Security Administration, Pension Benefit Guaranty Corporation, and Department of Housing and Urban Development.

The training of Actuaries heavily involves mathematical undergraduate coursework, as well as a solid grounding in business and economics. Actuarial certification, by the Society of Actuaries or the Casualty Actuarial Society, is accomplished through a battery of  ETS-type examinations with a prescribed syllabus, which for the first  several examinations are primarily mathematical and statistical.

There now exists an undergraduate minor program  in Actuarial Mathematics, available only to non-math majors, documenting that students have taken a package of courses covering parts of the actuarial examination syllabi, and have prepared themselves to take several of the actuarial exams.

On choosing the Actuarial track

The general advice to students is that without at least a strong B in the calculus courses Math 140-141-240-241, Actuarial Science is probably not as desirable a career as advertised because so much of the potential for advancement depends upon competitive examinations which are initially VERY quantitative. However, if you have strong interests in business and other practical applications of mathematics, you should at least consider continuing with the same collection of: calculus, Probability/Statistics, computing, numerical analysis and Operations Research courses, with a view toward majoring in a field such as Operations Research or Statistics. [Operations Research (OR) has to do with optimal-allocation problems in business, scheduling and inventory management, etc.; Statistics has to do with the analysis and description of data to explain relationships and forecast trends.] At College Park, both OR and Statistics can be pursued within the  BMGT College; and Statistics can be chosen as a concentration within the Mathematics major. For any quantitative major, you are well-advised to take the full calculus sequence and then some probability and statistics.

Actuarial advising

Actuarial advising is offered in the Math Department is offered through math-ugadvisor [AT] umd [DOT] edu, Coordinator of Undergraduate Advising. Students who are not math majors can obtain a minor in Actuarial Mathematics.

The Mathematics Department does not currently offer an Actuarial degree program, but does offer the Actuarial Mathematics course Stat 470, as well as many courses which heavily overlap the actuarial examination syllabi. In some cases, the courses exactly mirror the syllabi for specific exams.

Overview of actuarial exams and related courses

• Course P covers calculus through multivariable calculus (Math 140-141 and Math 241) plus one semester of linear algebra (Math 240) plus multivariable-calculus-level probability (Stat 410). The probability part of the syllabus no longer coincides exactly with our Stat offerings: the probability topics definitely include joint distributions, moment generating functions, conditional expectations, but not quite as much material as in Stat 410, and statistics topics are not tested directly on the first exam any more. The probability material in the union of Stat 400 and Stat 401 might be barely enough for the Course 1 exam.
• Course FM covers Economics and Finance topics mostly, but there is also mathematical problem-solving material on Theory of Interest which is covered in part in Stat 470 (Actuarial Mathematics).
• Course MLC, on Actuarial Models, contains material on probability models and stochastic processes related to life tables and insurance, including the calculation of insurance premiums from life-table data. The probability material here is definitely at the level of Stat 410, and in the current set-up there is NO purely statistical material (like parameter estimation, hypothesis testing and confidence intervals) on this exam. The relevant undergraduate course offered at College Park is Stat470 (Actuarial Mathematics). The latter course overlaps about 50% with the material of the Course MLC exam.
• VEE requirement -  For information on this requirement, please visit http://www.soa.org/education/exam-req/edu-vee.aspx .

Courses P and FM would be taken by any aspiring actuary, whether interested in Life Insurance and Pension or in Casualty/Property Insurance. The later exams are different when administered by the Society of Actuaries (Life/Pension) than when given by the Casualty Actuarial Society. These later exams, in either Society, involve a good deal of statistics, including topics in estimation, hypothesis and goodness-of-fit testing, computational and Bayesian methods, and survival analysis. Undergraduates should take either Stat 401 or Stat 420 to prepare for this later material. Other useful undergraduate courses would include Numerical Analysis, Econometrics, and Operations Research, as well as business topics in Investments, Finance, and Accounting.

Beyond the headings above, there are some relevant graduate courses, but you would be unlikely to take any of them unless you were also pursuing a graduate degree program.

If you are already graduated from college (with at least a B average), the way to take any of these courses at the University is to register as either a Special Student or an Advanced Special Student. In either case, you need to contact the Admissions Office and pay a one-time fee to obtain Special Student Status. The difference between Special Student and Advanced Special Student is that only the latter take courses which count for Graduate Credit (and accordingly,  pay the higher tuition fees for graduate courses). The courses which you would take toward actuarial exams are undergraduate courses, but many would count — here or elsewhere — toward related graduate degree programs. So if you were contemplating using the courses toward some future graduate degree program, you should consider taking the courses under Advanced Special Student status.

Campus course selection

If you are a freshman or sophomore, then the main courses you can plan on taking in the relatively near future which have a bearing on an Actuarial career — but which also can serve you well in several different majors — are the following:

• Math 140-141, 240-241: the regular calculus and linear algebra sequence is the most important component of a pre-actuarial course of study, and these courses coincide with the syllabus for the first actuarial examination.
• Operations Research, Finance & Accounting courses in BMGT: if you want to be an actuary, one of the logical plans is to become a Math Major with outside supporting area in BMGT.
• Introductory Economics courses (micro and/or macro economics) are also very useful for pre-actuarial study.
• A computer-programming course (JAVA or C). Although actuaries in insurance companies are often too senior to do much programming themselves, they will typically know and use some higher-level languages or packages (SAS, MATLAB, Mathematica, etc.) involving database operations, statistical analysis and mathematical manipulations.
• A Probability and Statistics sequence to prepare for the second actuarial exam: the syllabus coincides with Stat 410-420, but once you are finished with Math 141 you might consider taking Stat 400 as an earlier one-term introduction to Probability/Statistics.
• The Actuarial Mathematics course Stat 470. This course covers material related to at least two of the Actuarial Examinations, namely Courses FM ("Theory of Interest" topics) and MLC ("Actuarial Models"). However, it is not designed to prepare the student for any particular examination.

For campus course listings, see the Undergraduate Catalog.   Also visit the BMGT College Undergraduate Program.

General plan of study

There are in fact more courses to take, which would help you in pre-actuarial studies, than you could possibly have time for. The essential courses are: Calculus (through Math 241) and Probability & Statistics (through at least Stat 410 and 401).  The calculus sequence prepares you for the first exam, which you SHOULD then take as soon as you can make several months of study-time in which you would do MANY problems of the sort you can find in the sample actuarial exams or in actuarial practice manuals. The purpose of the additional practice is to augment your speed at working the actuaries' peculiar (and sometimes tricky) brand of multiple-choice problem. You SHOULD plan to take the first exam as a Junior (perhaps in November of your Junior year).  Ideally, you would try to take the Probability/Statistics exam (Course P) by spring of your junior year. The combination of: the two exams, a BMGT or Math (or double) major, and a summer-internship experience, will position you in the best possible way for an actuarial career.

Actuarial FAQs

Which specific courses should I take if I want to become an actuary?

To further your actuarial studies, you should complete calculus I, calculus II, calculus III and linear algebra. You should also have some basic business courses (e.g. accounting or finance) or economics courses (micro- or macro-economics). You should also have some basic programming skills (e.g. JAVA and C). Additional math courses you can consider include: STAT400, STAT401, STAT410, MATH424, STAT430 and STAT470.

Which courses here at UMD will prepare me for the actuarial exams?

The specifics of the courses versus exams are as follows:

Exam P: MATH140, MATH141, MATH241, MATH240, STAT400, STAT401, STAT410 (note: STAT410 is not absolutely essential, but is helpful as there are always a few problems, like 4 out of 50, that cover multi-variable topics in probability, mainly change-of-variable formulae and conditional expectations).

Exam FM: Theory of Interest is covered in ECON and Finance courses. Also STAT470.

ECON or Applied Stat: these exams are mostly covered under a program called Validation by Education Experience (VEE), where you would take the ECON micro and macro courses to get some exam credits. Similarly, you would take STAT430 (linear regression) for partial exam credits.

How easy is it to get an actuarial internship?

Whether you have a shot at internships depends largely on your past coursework and GPA and whether you have passed any exam. If you have taken a solid set of courses with a good GPA, and you have passed the first exam, then you will have a better chance to secure an internship.

Where can I find the syllabi for the actuarial exams?

The syllabi are available at www.casact.org and www.soa.org.

Further information, including Web links

Careers, exams and job searches  
Be-an-Actuary Website
Actuary Network
Society of Actuaries
Casualty Actuarial Society
BLS Occupational Outlook for  Actuaries
CMPS Career Services

Write for the Associateship Course Examination Catalog to either of :

Society of Actuaries, 475 N. Martingale Rd., Suite 800,  
Schaumburg, Illinois 60694

Casualty Actuarial Society, 1100 North Glebe Road,  
Suite 600, Arlington, VA 22201     (703) 276-3100

1. Haiyang
2. Andrew
3. Amir
4. Jeff
5. Eric
6. Albert
7. Lukas
8. John
9. Rachel
10. Azharul
11. Lucas
12. Joseph
13. Kaitlyn
14. Samantha
15. Henry
16. Robert
17. Mary

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Haiyang

Summer Volunteer at Smithsonian Environmental Research Center. Involved in a NOAA funded research project "Predicting Impacts of Stressors at the Land-Water Interface". My role was to help a scientist to develop a statistical model of evaluating effects of coastal watershed characteristics on shallow water quality and submerged aquatic vegetation. My tasks included data assembling, data analyses using advanced Microsoft Excel (e.g., Macro, Pivot, etc.) and simple statistics methods, results outputs using graphs and tables. Return to Top

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Andrew

This summer I worked at the National Institute of Standards and Technology (NIST) in the Building and Fire Research Laboratory (BFRL) as part of the Summer Undergraduate Research Fellowship (SURF) program. A description of my project is that I used computational modeling to investigate how varying mechanical properties of a modeled face, such as skin, elasticity, thickness, and compressibility, can increase accuracy of a model allowing researchers to identify areas of low and high contact pressure. Return to Top

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Amir

I got a software development job with General Dynamics and have spent the last 6 months in Baghdad, Iraq, doing semi-advanced worked in vision programming for the US Army. Those MATLAB classes really helped! Return to Top

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Jeff

Here is a summary of my summer REU experience at University of Illinois: I wrote for the QUEST newsletteI spent my summer doing research in applied neuroscience with the Brain-Computer Interfaces group at University of Illinois. My research group worked on developing computer interfaces and utilizing signal processing to give disabled people without the use of their limbs the ability to type on a computer. We used an electrode cap (as shown in my picture) to measure a subject's brain signals and display a keyboard on the screen with various letters flashing on it - when the letter the person wants to type flashes they are supposed to count in their head, thus releasing a specific brain signal (called a P300 signal) which we monitor for and enter the letter on screen once it is detected. I worked on optimizing the signal processing code in order to increase the efficiency and accuracy of the real-time processing of brain waves - it was definitely one of the most stimulating things I've spent a whole summer doing! Return to Top

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Eric

I participated in an internship this past summer with the Board of Governors of the Federal Reserve. I worked in the National Information Center, which is the central repository for all of the economic and regulatory information regarding the Board's activities. Specifically, I created an application and database to collect and analyze test data for their various tables. Return to Top

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Albert

Hello my name is Albert. I am currently a freshman at the University of Maryland. I am currently a math major, though later I will most likely be studying both math and computer science as a double major. Over the past summer I worked here on campus as an intern over in the A.V. Williams building, working on the I-series course The Rise of the Machines, testing out the class, as well as studying basic JAVA programming. Interning over the summer really is a great opportunity for all people, no matter if you are an incoming freshmen or a rising senior, it can sometimes be a lot of work but it really pays of because of all the things you learn as well as all the people you meet (not to mention the pay checks). If I could I would recommend summer internships to all incoming freshmen, simply to get them involved ASAP. Return to Top

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Lukas

I worked in the NeuroTheory (computational neuroscience) lab on aproject investigating a possible functional role of tiny eye movements in early visual processing.Is there a way I can tell whether a math course I took (or plan to take) has been evaluated by the math department? Return to Top

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John

I did applied mathematics / numerical relativity research with Dr. Manuel Tiglio from the physics department. We analyzed the phase space of binary black hole systems with different initial configurations. We have published one article on this work, and we are working on a second one. I also presented some combinatorial optimization research with Dr. Bruce Golden from the business school at a conference in Hamburg, Germany. Return to Top

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Rachel

I participated in the number theory REU at the University of Wisconsin-Madison. I worked in a team of 4 undergraduates to generalize a previous connection between a particular birth-death process and a particular q-continued fraction to a larger family of birth-death processes and q-continued fractions. We then found in this family q-continued fractions corresponding to modular forms and used known identities between these modular forms to find new identities between birth-death processes.Return to Top

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Azharul

I went to CERN this summer, part of my part time job at the Cosmic Ray Physics Group to calibrate a calorimeter which we built for NASA's 2009 Balloon Flight. We used one of the LHC beam line for our project. My job was to monitor and record data during the beam test. More info: www.cosmicray.umd.edu/cream. Return to Top

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Lucas

I participated in an internship at Rutgers University, specifically the Center for Advanced Biotechnology and Medicine (CABM), where I worked for Dr. Arnold. There I helped to program an online database for the lab members to upload datasets for their crystallography experiments. I was also in a program called CABM Summer Scholars where I got an opportunity to present my research to other interns and members of the lab. It was such a special experience for me because I not only got to learn two programming languages (MySql and HTML), but also got to work under a very approachable lab members, which really created a feeling like I was part of a team. It was an amazing experience. Return to Top

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Joseph

I went to Paris, France and worked on an applied math project modeling vesicles in a presynaptic neuron at Ecole Normal Superiuere. Return to Top

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Kaitlyn

This summer I did an REU at Cornell University. I worked with Dr. Strichartz doing analysis on fractals. There were six of us in the fractals group, but we worked on individual research projects. In the first part we learned about fractals like the Sierpinski Gasket, and how to define functions on them and do calculus on those functions. Then I did research to find and compute orthogonal polynomials on the Sierpinski Gasket. I would highly recommend this REU, especially with Dr. Strichartz as an adviser. Return to Top

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Samantha

 

I spent my summer interning at the Census Bureau anaylzing and reporting on the comparison of American Community Survey (ACS) language needs to language resources. The study determined, for the telephone and personal visit stages of the ACS, the estimated workloads by language spoken (based on data collected in the survey) and compared that with data on the available language skill sets (resources) in the call centers and in each of the regional offices. The summary identified areas of potential recruiting needs. Additionally, I embraced the opportunity to network with staff from all divisions within the Bureau and attended their private career fair for summer interns to learn more about different positions that I might like there. It was extremely fortunate that I assigned to the particular intern job I had because I really enjoyed the nature of the project and the work environment. I am now working at the Census Bureau part-time and will continue there after graduation in May. Return to Top

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Henry

This summer, I had an internship at the Institute for Advanced Study/Park City Mathematics Institute. It is a 3-week program at which you learn advanced (but still undergraduate-level) number theory. The entire camp is about the relationship between modular curves, modular forms, elliptic curves, and the Riemann zeta function. You take 2 classes - effectively, applied and theoretical. The applied class is somewhat low-level, but the theoretical class is a very good class - it includes a decent amount of abstract algebra and complex analysis. The camp is in a beautiful place - Park City, which is right next to Salt Lake City. On the weekends there are trips to nearby (and not-so-nearby) places, such as SLC itself, and Zion National Park. Plenty of opportunities to have fun, to learn, and lots of other good math people there. I recommend everyone try to go there. Return to Top

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Robert

I worked in the Image Processing branch at the U.S. Army Research Lab. My research there focused mainly on what is known as color filter array (CFA) demosaicing. The basic idea is that when a digital color image is captured, information for each of at least 3 primary colors must be sampled at each pixel. However, while three sensors, one for each color, seems like a natural idea, it is mechanically nontrivial to align them perfectly. Moreover, this sensor usually account for at least half of the camera's cost, so having a camera with three sensors would be more expensive. Thus a full color image must be captured with a single sensor. To do this, a color filter array is used, which filters out all but one color at each pixel. The typical color filter array, known as the Bayer pattern, samples data in this repeating pattern: RGR, GBG, RGR. From here, this raw data is demosaiced, wherein all missing color information is interpolated from the mosaic-patterned raw data. My research this summer focused on the many different ways an image can be demosaiced, as well as the techniques for assessing the relative quality of the reproduced images. In particular, I proposed two new quality assessment algorithms which can be performed without a reference image. Return to Top

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Mary

I did an internship this summer at: Food and Drug Administration, Office of Regulatory Affairs, Department of Planning, Evaluation, and Management. In my internship, I have run queries on the FDA database to compute statistical data regarding accomplishment data for the agency, so that they can track how resources are being used. This also included using Excel to make graphs and sort the data. Return to Top

So what can one do with a Math Major?  The easiest way to answer this quesiton is to show examples.  This is precisely what this page is all about.  Many of our graduates are happy to share details about their post-graduation employment.  All information listed in this webpage is self-reported by the students.  It typically provides information about their initial job/school after leaving Maryland.

Some outstanding Maryland math majors have gone on to famous careers. In recent years, some of the best majors have gone on to some of the best graduate programs in the country (Princeton, Stanford, Harvard, Yale, MIT, Berkeley,...).

In the list below, a school name refers to graduate school (usually Math -- nonMath is indicated).

Pre 1980

1936 George Dantzig (Michigan) ("father of linear programming")
1966 Charles Fefferman (Princeton) (later won the Fields Medal--the "Nobel Prize of Mathematics")

1980s

1980 Christopher Asano*
1981 Steven Bonners
1981 Valerie Matthews
1981 L. Stephenson* (Maryland)
1982 Ravi Boppana*, Ph.D., Computer Science, MIT
1982 Mary Flather-Phillips (Naval Research Labs)
1983 Selman Herschfield* (Physics, Cornell)
1983 Alex Stanoyevitch* (Michigan)
1983 Geoffrey Birky*
1983 Eugene Lerman* (MIT)
1988 Harold Knight* (Yale)
1988 Boris Goldfarb* (Cornell)

1990s

1990 Richard Penn* (Michigan)
1990 Chris Monsour* (Chicago)
1991 Alex Gurevich*
1992 Emiliano Gomez* (Berkeley)
1993 Sergey Brin* (Stanford, Computer Science) (later cofounded Google)
1993 Glenn Easley* (Maryland)
1994 Matt Baker* (Berkeley)
1994 Richard Durand*
1994 Kimberly Sellers (Professor, Georgetown University)
1995 Anna Borovikov*
1995 Michael Gurevich* (Maryland)
1995 Geoffrey Hruska* (Cornell)
1995 Joseph Miller* (Cornell)
1996 Peter Calabrese*
1997 Kenneth Gosier* (NYU)
1997 Sudheer Shukla* (Chicago)
1998 Christopher Chambers* (Rochester)
1999 John Armstrong* (Yale)
1999 David Bindel* (Berkeley)
1999 David Clark* (MIT)

2000

2000 Jeffrey Brown* (Berkeley)
2000 Sean Lawton* (Maryland)
2000 Ming Wei Ong* (Maryland)
2000 David Spivak* (Berkeley)

2001

2001 Matt Bainbridge* (Harvard)
2001 James Bremer (Yale)
2001 Chad Groft* (Stanford)
2001 William Patrick Hooper* (Stony Brook)
2001 Robert Rohde* (Berkeley)

2002

2003

2003 Katherine Calvin (Chief Scientist, Senior Climate Advisor, NASA)
2003 Lawrence D'Anna* (Maryland)
2003 Jared English* (Wisconsin)
2003 Michael Thompson* (Maryland)

2004

2004 Jonathan Dahl* (Johns Hopkins)
2004 Stuart Fletcher* (rock and roll band)
2004 Steven Helfand* (Maryland) (but after a semester, he left to play drums for the Glenn Miller Band; currently Technical Sergeant, USAF)
2004 Sarah Kitchen* (Utah)
2004 Alexandre Rostovtsev* (Maryland)
2004 Andrew Snowden* (Princeton) (with Ph.D.2009 under Andrew Wiles, who proved Fermat's Last Theorem)
2004 Benjamin Trahan* (Maryland)
2004 William Valencia* (Johns Hopkins, NASA)
2004 Marshall Williams* (Michigan)
2004 Nikolai Yakovenko* (Columbia) (and then on to Google in NY)

2005

2005 Greg Crosswhite (Univ. of Washington, Physics)
2005 Reginald Covington (Cornell, Economics)
2005 Patrick Curran* (teaching high school)
2005 Neha Gupta* (Google)
2005 Ninad Jog*
2005 Juan Lleras (Berkeley, Economics)
2005 Slawa Rokicki (Instructor, Rutgers School of Public Health)  
2005 Bianca Viray* (Berkeley)
2005 James White (Maryland, Applied Math)

2006

2006 Amir Ahmadi* (assistant professor, Princeton)
2006 Timothy Dulaney* (Physics, Cal Tech)
2006 Michael Hall* (Mathematics, UCLA)
2006 Bryant Lee (Computer Science, Carnegie Mellon)
2006 Lea Ann Mawler*
2006 Alisa Stephens (Biostatistics, Harvard)

2007

2007 Mohamed Abutaleb (Physics, MIT)
2007 Sinan Ariturk (Mathematics, Johns Hopkins)
2007 Jeffrey Donatelli* (Mathematics, Berkeley)
2007 Anton Lukyanenko* (Mathematics, Maryland)
2007 Andrew Parrish* (Mathematics, U.C.San Diego)
2007 Blake Riddick (Physics, Maryland)
2007 Gaurav Thakur* (Applied Mathematics, Princeton)

2008

2008 John Dickerson (Computer Science, Carnegie Mellon)
2008 Morgan Dixon (Computer Science, U of Washington)
2008 Christina Frederick* (Mathematics, Texas at Austin)
2008 Nicholas Henderson* (Mathematics, Maryland)
2008 Philip Isett* (NSF Fellow, Mathematics, Princeton)
2008 Katrina LaCurts (NSF Fellow, Computer Science, MIT)
2008 Julian Lamy (Manager, Energy Systems Optimization, Electricite de France)
2008 Dan Marcin (Economics, Michigan)
2008 Jesse Sugar-Moore* (Mathematics, Texas at Austin)

2009

2009 Jeffrey Birenbaum (Physics, Berkeley)
2009 Sean Burke (Mathematics, University of Texas at Austin)
2009 Hannah Gerlach (Northrop Grumman)
2009 Stevie Green (Physics, UCSD)
2009 Greg Ihrie (Mathematics, Cambridge)
2009 Nusrat Jerin (Programmer, Private Sector)
2009 Luke Johnson (Physics, Maryland)
2009 Siwei Kwok (Economics, UCLA)
2009 Philip Lee (Statistician, RTI)
2009 Yutao Liu (Chinese Education, Maryland)
2009 Chao Lu* (System Specialist, Private Sector)
2009 Abe Martin (Economics, Federal Reserve Bank of NY)
2009 Alex Mont (Computer Science, U. Illinois Champaign-Urbana)
2009 Alexander Per (Economics, George Washington)
2009 Steve Pesto (Private Sector, in Spain)
2009 Laura Slivinski (Research Scientist, University of Colorado)
2009 Amir Soofi (Computer Programmer, General Dynamics, Baghdad)
2009 William Stem (Physics, Maryland)
2009 Andrew Ward*
2009 Matt Weber (Technical and Functional Consultant, Private Sector)
2009 Joel Witten* (Statistics, Columbia)
2009 Di Zou (Software Engineer, Baltimore Orioles)

2010

2010 Jonathan Anderson* (Microsoft)
2010 Bryan Ball*
2010 Stephen Bitzel (Software Developer, Tanager, Inc.)
2010 Benjamin Chapin (Music, Maryland)
2010 Jon Cohen* (Mathematics, Maryland)
2010 Cory Cummings (Mathematics Education, Maryland)
2010 Jojo Entsuah (Computational Finance, Carnegie Melon)
2010 Samantha Fish (Statistics, US Census Bureau)
2010 Hannah Gerlach (Software Development, Northrop Grumman)
2010 Kevin Hencke (Mathematics, Maryland, Math)
2010 Lisa Hoffmaister (Math Teacher)
2010 Ammar Husain* (Physics, Berkeley)
2010 Alan Jackoway (Software Engineering, Private Sector)
2010 Jennifer Kargus (Software Engineer)
2010 Jason Kapsack (Matheamtics, CUNY - City College)
2010 Mitchell Katz *
2010 Rachel Kirsch* (Mathematical Association of America)
2010 Jacob Konikoff* (Biostatistics, UCLA)
2010 Emily LaRocca (Mathematics Education, Maryland)
2010 Greg Laun* (Mathematics, Maryland)
2010 Chenwen Li (Computer Science, Maryland)
2010 Mike Mazzarella (Mathematics Education, Maryland)
2010 Rachel Morris (Cost Analyst, Navy)
2010 Haylay North (Poe School Administration)
2010 Joseph Paulson (NSF award, Applied Math, Maryland)
2010 Mickey Salins (Mathematics, Maryland)
2010 Bradford Sanders (Math for America)
2010 Boyen Shen (Civil Engineering, Maryland)
2010 John Silberholz* (Goldwater Scholar, NSF Fellow, Operations Research, MIT)
2010 Hannah Sohn (Mathematics Education, Maryland)
2010 Cynthia Tran (Mathematics Education, Maryland)
2010 Kaitlyn Tuley* (NSF Fellow, Mathematics, UCLA)
2010 Mary Wilson (Statistics, FDA)
2010 Emily Sze (School of Medicine, Maryland)

2011

2011 Michael Bartock (IT specialist, NIST)
2011 Ran Bi (Management of Science in Engineering, Stanford)
2011 Harveen Bindra (Math Education, Maryland)
2011 Nick Bonomo (Actuary, Private Sector)
2011 Kristen Campilonga (Budget Analyst, Maryland Department of Budget and Management)
2011 Jonathan Cottrell (Statistics, concurrently with Industrial Organization Psychology, University of Illinois - Urbana Champaign)
2011 Andrew Ferguson (Software Development, Epic Systems Corporation)
2011 Antonio Fominaya (Mathematics Education, Maryland)
2011 Austin Gardner (Project Management, Maryland)
2011 Allen Gehret* (Mathematics, University of Illinois - Urbana Champaign)
2011 Katharine Hamilton (Economics, Maryland)
2011 Junjie Hao (Chemistry, Harvard)
2011 Daniel Jaskot (EM Analyst and Threat Systems Engineer, Systems Engineering Group, Inc.)
2011 Samuel Lang (Programmer, Five Rings Capital)
2011 Robert Maschal (Mathematics, Maryland)
2011 Richard Matthew McCutchen* (Google)
2011 Kevin McGehee (Software Engineer, Amazon)
2011 Aaron Merchak (Analyst, Cornerstone Research)
2011 Mireille Ngo Bakal (Applied Statistics, Cornell)
2011 Shawn Ratwani (Investment Banking, Goldman Sachs)
2011 Scott Rome (Mathematics, Drexel)
2011 Lea Savard-McNicoll (Analyst, Glevum Associates, Afghanistan)
2011 Matt Shriver (Mathematics Education, Maryland - Hagerstown)
2011 Scott Smith* (Applied Mathematics & Scientific Computing, Maryland)
2011 Stanislav Speransky (Meteorology, Florida State)
2011 Yi An Sun (MIT, NSF Fellow)
2011 Tim Van Blarcom (Statistician, D3 Systems)
2011 Joseph Woodworth (Mathematics, UCLA, NSF Fellow)
2011 Louis Wu (Officer Candidates School)
2011 Kelsey Young (Business Analytics and Optimization, IBM)
2011 Ruiqian Zhang (Actuarial Science, Columbia University)

2012

2012 Andrew Bernstein* (Applied Math, NC State)
2012 Jonathan Booz (Software Development Engineer, Amazon.com)
2012 Edward Carney (Systems Engineer, The SI Organization)
2012 Jacob Criner (Software Development Engineer, Google)
2012 Christina Czabaranek (Decision Support Analyst, Mercy Medical Center)
2012 Chase Dowling (Fellow, Pacific Northwest National Labs)
2012 Holman Gao* (Software Engineer, Room 77)
2012 Priyanka Gokhale (School of Medicine, Case Western Reserve University)
2012 Alexander Golden (Applied Physics, Ann Arbor, Michigan)
2012 Yu Gu (Applied and Interdisciplinary Math, Ann Arbor, Michigan)
2012 Trevor Hill (Software Engineer, Google)
2012 Jeff Jacobs (Computer Science, with a dual concentration in Mathematics, Stanford)
2012 Oliver Lum (Applied Matheamtics, Maryland)
2012 Alyssa Maccarone (Statistical Analyst, Mathematica Policy Research)
2012 Ana Matos (Actuarial Assistant, Metlife)
2012 Mark Mester (Systems Engineer, Metron Aviation)
2012 Joseph Mickel (Interdisciplinary Statistics & Operations Research, UNC Chapel Hill)
2012 Greg Mitchell (Systems Developer, Booz Allen Hamilton)
2012 Jocob Moschler (Lab Manager, Institute for Systems Research, Univeristy of Maryland)
2012 Tshikuna Muanankese (Control Systems Engineer, ExxonMobile)
2012 James Park (Operations Research Analyst, US Air Force)
2012 Sol Park (Statistician, U.S. Census Bureau)
2012 Darwin Romero (Parent Community Coordinator, Montgomery County Public Schools)
2012 Arielle Snyder (Education, Maryland)
2012 Andrew Szymczak (Computer Science, NYU)
2012 Thomas Vandal (Market Risk Analyst, Boston Technologies)
2012 Jacob Warren (Economics, University of Pennsylvania)

2013

2013 Kelly Brown (Engineer, Johns Hopkins Applied Physics Lab)
2013 Michael Dewitt (Software Engineer, Google)
2013 John Duarte (Software Engineer, Raytheon)
2013 Tyler Dunn (Software Engineer, Google)
2013 Bryan Fuss (Teacher, Thailand)
2013 Kaitlyn Gray (Wilson Commencement High School, NY)
2013 Sean Gruber (Education, Maryland)
2013 Jada Johnson (Biostatistics, University of Texas)
2013 Kelin Li (Financial Engineering, Cornell)
2013 Stefanie Montgomery (Consultant, CGI Federal)
2013 David Morris (Entrepreneur)
2013 Scott Poese (Math, George Mason)
2013 Katherine Rennenkampf (Fulbright Teaching Assistantship to Indonesia)
2013 Ruben Schwartz (Medicine, Nova Southeastern University)
2013 Nathan Suberi (Smart Cities and Urban Analytics, University College London)
2013 Ben Walsh (Electrical Engineering, Maryland)
2013 Alex Youcis (Math, UC Berkeley)
2013 Fanfan Zheng (Law, Michigan State University School of Law)

2014

2014 Katherine Arsenault (Education, Technology & Leadership, George Washington)
2014 Alexander Baden (Computer Science, Johns Hopkins University)
2014 Martin Buck (Modeling and Simulation Engineer, MIT Lincoln Laboratory)
2014 Katherine Davis (Senior Analyst, Willis Tower Watson)
2014 Max Gross (Economics, University of Michigan)
2014 Pat Hunley (Statistics, Harvard University)
2014 Yingquan Li (Consultant/Software Engineer, Hewlett Packard)
2014 Jiankun Liu (Statistics, U of Virginia)
2014 Ian Magee (Fellow, Math for America)
2014 Philip Marx (MBA/MSA, Northeastern University)
2014 Austin Roche (School of Law, U Maryland)
2014 Alexander Sherman* (Mathematics, UC Berkeley)
2014 Albert Shih (US Navy)
2014 Alissa Stafford (Research Assistant, ICF International)
2014 Max Wallace (Software Developer, Athenahealth)
2014 Graham Welch (Software Engineer, Google)

2015

 

 

*graduated with honors or high honors in Mathematics 

(Please send additions or corrections to ichan [AT] umd [DOT] edu)