Mathematics and Computer Science

The goal of the Groton School math and computer science program is to provide students with quantitative information, problem solving techniques, and the analytical skills required by the changing landscape of the twenty-first century. Through student-centered discussions, technology-based explorations, discovery exercises, and lectures, we encourage students to investigate and analyze a variety of mathematical models. By exposing students to questions that emphasize theory as well as real-world applications, we instill the ability to reason quantitatively and to arrive at solutions in an organized, detailed, and concise way. Students are expected to work individually and collaboratively, using a range of technological tools, including CAS graphing calculators, graphing software, spreadsheets, geometric modeling software, and computer programming to analyze and solve challenging problems. To meet the demands of a rapidly changing world, the department seeks to provide students with essential mathematical and technological skills.

We place students in courses and sections relevant to their skill level. We offer courses that are designed to provide students with skill in a range of topics in algebra, geometry, probability, statistics, calculus, discrete mathematics, and computer science. Students who complete the math program through Advanced Math Topics are encouraged to pursue the study of more advanced topics on a self-selected tutorial basis. Some notable past tutorials include Linear Algebra, Multivariable Calculus, Game Theory, Chaos and Fractals, and Object Oriented Programming.

Students must successfully complete mathematics through the Fifth Form year or through Trigonometry (the first term of the Precalculus sequence), whichever comes later.

Advanced Math Topics (F)

Open to Sixth, Fifth, and Fourth Formers. The topic of AMT (F) is Mathematical Modeling. Prerequisite: Calculus A or Calculus B. In this course we will learn how to use discrete dynamical systems, to solve advanced counting and probability problems, as well as to model and analyze situations one finds in the physical and social sciences. Some of the areas we will explore are how the body absorbs and eliminates medicines, various models for how populations grow, the economics of harvesting, why one should think twice before playing roulette, and the basics of genetics.
Advanced Math Topics (S)

Open to Sixth, Fifth, and Fourth Formers. The topic of AMT (S) is Machine Learning. Prerequisite: Calculus A, Calculus B, or Data Structures. Machine learning is a branch of Artificial Intelligence that deals with the development and analysis of algorithms that allow computers to make data-driven predictions and decisions. This class will examine both supervised and unsupervised learning algorithms, with a focus on Bayesian classifiers, decision trees, artificial neural networks, and k-nearest neighbor learning models. Discussion of these algorithms will be framed in terms of the mathematical concepts of information gain, gradient descent and the partitioning of n-dimensional spaces. Using the Weka machine learning and data mining software package, students will explore the tradeoffs between different learning algorithms on varying datasets. Particular emphasis will be given d to the applications of machine learning to real-world classification problems and the role machine learning plays in modern society.
Algebra 1 (Y)

This course is a thorough introduction to algebraic techniques and their applications. Basic algebraic skills will be emphasized, with some use of the graphing calculator. Topics include linear, exponential, and quadratic functions, along with polynomials, factoring and radicals. Technological tools such as graphing calculators and Desmos will be used to investigate various relationships and functions.
Algebra 2 (H) (Y)

Prerequisites: Algebra 1 and Geometry. The department determines which students get placed in the honors section. This course will cover everything covered in the Algebra 2 regular course but with added depth and rigor. In addition, students will study sequences and series, proof by induction, and learn a variety of problem solving techniques.
Algebra 2 (Y)

Prerequisites: Algebra 1 and Geometry. This course involves reinforcement and expansion of the skills and concepts presented in Algebra 1. Topics include linear, quadratic, exponential and logarithmic functions, with emphasis placed on modeling of real-life situations. Polynomial functions, rational and irrational functions, and conic sections are also presented. Graphing calculators and Desmos are used as exploratory and computational tools. By the end of the year, students are expected to have a solid grasp of how to simplify, solve, and graph the elementary functions.
Algorithm Design and Analysis (S)

Prerequisites: Geometry and permission of the department. No prior programming experience is required. This course introduces students to the Java programming language and the basics of procedural programming. We will study Java’s type system, why it exists, and how it helps programmers write code that is both correct and efficient. Students will learn techniques for analyzing programming problems and breaking them into simple parts. We will discuss what makes a problem computationally difficult and will examine the limits of what a computer can and cannot accomplish. Additionally, students will master debugging skills and will learn how to reduce redundancy in their code. In short, this course aims to give students the tools they need to become successful programmers. Students wishing to take the AP Computer Science A exam are strongly encouraged to enroll in this course the year before they wish to take the AP exam.
AP Computer Science (Y)

Prerequisite: Geometry and permission from the department. Collectively, courses 2951, 2955 and 2956 constitute the equivalent of a one-semester college level course in computer science. Students wishing to take them in sequence may opt to take them as a year long course under the AP designation. Students enrolled in AP Computer Science will be required to take the Advanced Placement Computer Science Principles exam in May.
AP Statistics (Y)

Prerequisite: Algebra 2 and permission of the department. The topics of study will include exploratory analysis, planning a study, probability, and statistical inference. The topics within each theme emphasize statistical thinking and minimize computational procedures. Students will utilize the powerful statistical package in the TI-NSpire graphing calculator. In all that they study, students will be required to write accurate conclusions that are supported by statistical analysis. Students will be required to take the Advanced Placement examination in May.
Applied Calculus (Y)

Open to Sixth and Fifth Form Students. Prerequisite: Precalculus. This course introduces students to the big ideas and many applications of calculus. It covers most of the topics included in the AP Calculus AB syllabus, including limits, methods of differentiation, related rates, optimization, advanced graphing, Riemann sums, methods of integration, area, and volume, but it is not designed to prepare students for the AP Calculus exam. Throughout the course, the tools of calculus are applied to answer questions from physics, biology, chemistry, economics, and medicine. Technology (CAS, spreadsheets, and graphing tools) is utilized to help the focus remain on the ideas of calculus more than algebraic manipulation.
Calculus A (Y)

Prerequisite: Honors Precalculus and permission of the department. This is a year-long course covering differential and integral calculus. Students will be required to take the Advanced Placement Calculus AB examination in May.
Calculus B (Y)

Prerequisite: Successful completion of Precalculus (H) Accelerated or permission of the department. This year-long course covers the material of Calculus A as well as polar coordinates, parametric functions, Taylor and Maclaurin series, and advanced integration techniques, among other topics. Students will be required to take the Advanced Placement Calculus BC examination in May.
Computer Science (F)

Prerequisites: Geometry and permission of the department. No prior programming experience is required. This is a first course in computer science and introduces students to the fundamentals of computer programming. Using the Snap! visual programming language (UC Berkeley’s version of Scratch), students will program several classic computer games including pong, hangman, and a platformer. Through these projects, students will learn about programming concepts such as variables, conditional statements, loops, arrays, and functions. Particular emphasis will be placed on iterative design principles and the roles of creativity and abstraction in the programming process. As a capstone to this course, students will design and implement a significant programming project of their choice.
Data Structures and Advanced Programming (Y)

Prerequisites: Either AP Computer Science or Algorithm Design and Analysis, or a demonstrated proficiency with textual programming language and permission of the department.

This course takes a project-based approach to learning advanced programming techniques. Using the Java programming language, we will study object-oriented design and other software engineering principles. We will program Conway’s Game of Life to study the behavior of cellular automata and emergent behaviors; we will puzzle over the Towers of Hanoi and contemplate the running time of programs; and we will dabble in artificial intelligence as we code Martin Gardner’s game of Hexapawn (a simplified version of chess). Along the way, we will encounter data structures such as stacks, queues and trees — and we will learn about how to use them to solve various programming challenges. Students who do well in this course will be encouraged to take the AP Computer Science A exam in May, but this course will also address additional topics that go beyond the scope of the AP curriculum.
Discrete Math (F)

Open to Sixth, Fifth, and Fourth Formers. The topic of Discrete Math (F) is Logic Puzzles and Boolean Algebra. Prerequisite: completion of Precalculus. Boolean algebra is the branch of discrete math that deals specifically with statements that are either true or false. Invented by George Boole in 1847, Boolean algebra is closely related to set theory and now serves as a cornerstone of theoretical computer science. In this class, we will learn about Boolean logic as we work through Knights and Knaves problems, word games from Lewis Caroll, and other logical puzzles. Along the way, we'll encounter techniques for visualizing boolean expressions (like truth tables and Karnaugh maps) and rules for manipulating logical statements symbolically. Time permitting, we may also touch on the ways in which Boolean algebra can be used to design computer circuits.
Geometry (Y)

Prerequisite: Algebra 1. Geometry is a full year course with the fall and winter terms focusing on Euclidean geometry. Topics covered in the first two terms include fundamentals of Euclidean geometry, congruence and proof, parallel lines, quadrilaterals, polygons and polyhedra, similarity, circles, the trigonometry of triangles, area, and volume. Students will explore these topics using both analytical and quantitative methods.

During the spring term students will study problems in applied geometry and modeling. Programming will be used as an exploratory and problem solving tool. This course will have an honors section that will cover all of the above topics, but in greater depth and with greater emphasis on problem solving. The department will determine which students are placed in honors sections. Placement in the regular section puts no restriction on future math courses.
Linear Algebra and Multivariable Calculus (Y)

Prerequisites: Calculus A or Calculus B and permission of the department. This course is year-long. Half of the course will focus on linear algebra, on matrix theory and linear algebra that will be useful in other disciplines, including systems of equations, the geometry of 3 space, linear transformations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. Many applications will be introduced including how Google’s Page Algorithm works and how many social media sites helps one find friends. Extensive use will be made of Mathematica, a computer algebra and graphics system. The second half of the course will cover differential, integral and vector calculus for functions of more than one variable. Topics covered will include but not be limited to the following: the extrema and geometry of three dimensional surfaces, calculus based probability models, finding the area of regions and volumes of solids using double and triple integrals in a variety of coordinate systems, line integrals and their applications, and Green’s Theorem. These mathematical tools and methods are used extensively in the physical sciences, engineering, economics and computer graphics.
Precalculus (H) (Acc) (Y)

Prerequisites: Geometry and Algebra 2H and permission of the department. This is a fast-track Precalculus honors course and consists of the following sequence of topics: trigonometry, vectors, polar coordinates, parametric equations, matrices, probability and combinatorics, transformations in 2D, complex analysis, limits, continuity, and other introductory calculus topics. During the year, there will be an ongoing cumulative review. Students will review topics from previous courses such as functions, exponents and logarithms, and elementary geometry. Students also learn programming in Python and apply it to solving problems from the curriculum. At the end of the course, students are encouraged to take the SAT Subject Test: Mathematics, Level 2.
Precalculus (H) (Y)

Prerequisites: Geometry and Algebra 2H and permission of the department. This year-long course consists of the following sequence of topics: trigonometry, polar coordinates, vectors, matrices, statistics, and introductory calculus topics. During the year, there will be an ongoing cumulative review. Students will review topics from previous courses such as functions, combinatorics and probability, logarithms and exponents, and elementary geometry. At the end of the course, students are encouraged to take the SAT Subject Test: Mathematics, Level 2. This will be a year-long course for all students except Sixth Formers, who must complete the Fall Term but can then take the next two terms on an elective basis. Sixth Formers may use the following course sequence: 2451 Precalculus (H) (F), 2452 Precalculus (H) (W), 2453 Precalculus (H) (S).
Precalculus (Y)

Prerequisites: Geometry and Algebra 2. This course consists of the following sequence of topics: trigonometry, probability and statistics, sequences and series, combinatorics and probability, and a review of the functions studied thus far. This review of functions is algebraic, graphical, and includes modeling various mathematical situations. This will be a year-long course for all students except Sixth Formers, who must complete the Fall Term but can then take the next two terms on an elective basis. Sixth Formers may use the following course sequence: 2411 Precalculus (F), 2412 Precalculus (W), 2413 Precalculus (S).

Our Faculty

Kristen LeRoy

Mathematics and Computer Science Department Head

978-448-7591

kleroy@groton.org
Bio
Kristen LeRoy joined the Groton faculty in 2011 after working for four years at Harvard Medical School in a scientific research lab. She received her B.S. from Gettysburg College in biology, minoring in math, and her master's degree from Harvard Extension School in mathematics for teaching. Kristen is the head of the Mathematics and Computer Science Department and has served in a variety of roles on campus, including dorm head and coach of the JV girls soccer, basketball, and lacrosse teams. She lives on campus with her husband Tim, daughters Linley and June, and their beagle rescue pup, Bruschi.
Michaella Chung

Dorm Head

978-448-7570

MChung@groton.org
Bio
Michaella Chung teaches mathematics and environmental science. Before arriving at Groton, she earned a BS in civil engineering from Columbia University and a PhD in civil and environmental engineering from University of California, Berkeley. Michaella’s research focused on fusing together mathematics and emerging technologies to better understand watersheds and critical habitat, and she is excited to encourage her students to use mathematical theory and concepts to answer questions that they may have about the world.

Outside of the classroom, Michaella runs an Upper School girls' dorm and coaches girls cross country. She enjoys baking pies, rooting for the New York Mets, and catching up on the newest developments in the eco-hydrology world. After many years away from New England, she is excited to re-explore the region with her husband, Daniel.
Ida Cortez

Teaching Fellow

icortez@groton.org
Bio
Ida Cortez is joining the Groton community as a mathematics teaching fellow, coming from Bowdoin College in Maine. She graduated in 2020 with a double major in mathematics and history. She will be teaching Honors Precalculus this year. Her favorite activities include reading and walking in the beautiful Groton area, and she is looking forward to adopting a kitten!
Jon Creamer

978-448-7721

jcreamer@groton.org
Bio
Jon Creamer holds a B.Sc. in mathematics from Brown University and an MFA in photography from Bard College. Before arriving here in 2002, he taught at Cushing Academy and Lawrenceville.

At Groton, he teaches mathematics and supervises the Math Club. As time allows, he works on his photography and likes to travel by car or train; Wisconsin and North Dakota are the only two contiguous states he has not visited.

Jon is a 2011 recipient of the Presidential Scholars Teacher Recognition Award. His cats, Scout and Sammy, are well-known fixtures on campus.
Nishad Das

Director of Global Education

978-448-7379

ndas@groton.org
Bio
Nishad Das began teaching mathematics at Groton in 1999, after having taught in England for nine years, at Cheltenham College and Caterham School. Both his BA, from St. Stephen’s College, Delhi University, and his MA, from Cambridge University, are in mathematics. During his years at Groton, he has taught a variety of courses ranging from Geometry, Algebra 1, and Algebra 2 to Computer Science, Precalculus Accelerated Honors, BC Calculus, Linear Algebra, and Cryptography.

Nishad chaired Groton’s Technology Committee from 2001 to 2004, a period in which the school introduced a laptop program and developed the all-school intranet. In 2004, Nishad became co-chair of the Mathematics Department, and in 2011 he dropped that position to become director of Global Education. In 2006, he received the Jonathan Choate Award for teaching and coaching.

As director of Global Education, Nishad has set up global partnerships for Groton’s GEOs (Global Education Opportunities), started an incoming and outgoing student exchange program, and worked with the Global Education student committee and Global Education student prefects to coordinate and organize various Global Education events during the academic year. He is a member of the GEBG (Global Education Benchmark Group), a group of some two hundred-plus independent schools committed to global education, and in April 2016 was elected to the GEBG board.

Outside the classroom, Nishad has coached cross country, field hockey, and was the girls varsity squash coach from 2004 to 2016. Also connected to the world of squash, Nishad chaired the Girls New England Inter-Scholastic Squash Association from 2006 to 2016. He lives on campus with his wife, Sravani Sen-Das, who chairs Groton's English Department, and their three children, the oldest of whom graduated from Groton in 2016. Nishad loves to spend time with his family in Maine, hiking kayaking, and playing board games.
Louisa Ebby

Math Fellow

lebby@groton.org
Bio
Louisa Ebby is one of Groton's 2020–21 math teaching fellows. She graduated from Williams College in 2020 with a B.A. in mathematics and environmental studies. While at Williams, she was captain of the women’s lacrosse team, a math teaching assistant, and helped run nature education programs in the local community. She also spent a semester in Denmark studying sustainability. Originally from Philadelphia, she enjoys running, hiking, and pretty much anything that allows her to be outside.
Michael Gnozzio

Teacher

978-448-7383

mgnozzio@groton.org
Bio
Michael Gnozzio graduated from Groton in 2003 and returned to the Circle in the fall of 2017 to join the Department of Math and Computer Science. In the interim, he attended Williams College, earned a BA in Computer Science, and spent ten years working as a software engineer at Cogo Labs, a startup incubator that helped build some of the Boston area’s fastest growing Internet companies. His primary academic interests are in the areas of machine learning, parallel processing, and predictive modeling.

Outside the classroom, Michael helps coach the school’s Debating Society and enjoys discussing politics, religion, and philosophy—especially where those topics intersect with science and technology. He also coaches JV boys hockey. He lives with his husband Matthew and their two cats, Alex and Daphne.
Julie Keeling

978-448-7639

jkeeling@groton.org
Bio
After being raised on her family’s Iowa dairy farm and finishing her schooling in Iowa, Julie Keeling worked in a variety of settings. Just prior to coming to Groton in 1987, she taught in Kenya, splitting her time between a rural school and a school in an impoverished section of Nairobi.

At Groton, Julie teaches mathematics courses ranging from Algebra 1 to Calculus. She has been a dormitory head, coached girls basketball, and served on numerous committees. Currently, she is an affiliate to an Upper School dorm and the advisor to the Fourth Form.

Julie has a BS from Iowa State University and an MA from the University of Iowa. She lives on campus with her two daughters, Emma and Marie. During the slower days of summer, she enjoys gardening, raising backyard chickens, reading, and traveling. Trips have included journeys to China, the birthplace of her children.
Katharine Leggat

Academic Dean, Mathematics and Computer Science, Thomas S. Williams Chair

978-448-7266

kleggat@groton.org
Bio
Katharine Leggat joined Groton after teaching at Northfield Mt. Hermon School from 1980-83. Her first job after graduating from college in 1978 was teaching in a tutorial school at Waterville Valley, a stint primarily intended to support her skiing “habit.” At Dartmouth College, Kathy majored in geography and played field hockey and ice hockey, a team she helped start her first year there.

Like many faculty at Groton, Kathy has worn numerous hats over the years: full-time mathematics teacher, dean of students, acting assistant head, dorm head, coach of varsity field hockey and girls ice hockey. She is currently the academic dean, teaches in the mathematics department, is a field hockey assistant coach, a dorm affiliate in the Lower School, and holds the Thomas S. Williams Chair.

When the School gives her time off, Kathy gardens, skis, reads, and spends time on the water. She lives on campus with her husband, fellow mathematician Jonathan Choate.
Tim LeRoy

Director of Student Activities, Dorm Head

978-448-7698

tleroy@groton.org
Bio
Tim LeRoy joined the Groton faculty in 2013 after six years at Cardigan Mountain School, where he served in various roles, including math department head and head hockey coach. At Groton, Tim is the director of the Student Activities Committee (SAC), a member of the Mathematics and Computer Science Department, an Upper School boys dorm head, and a coach of girls varsity soccer, boys varsity hockey, and varsity baseball. In his free time, Tim enjoys golfing, fishing, and spending time in Maine. He lives on campus with his wife, Kristen, daughters Linley and June, and their dog, Bruschi.
Catherine Lincoln

Dorm Head, LuAnn S. Polk Coeducation Chair

978-448-7553

clincoln@groton.org
Bio
After graduating from Connecticut College in 1980, Catherine Lincoln joined Groton as a math intern, then was hired to be a full-time math teacher, coach, and dorm head. After serving as co-head of the Math Department for more than fifteen years, Cathy continues to teach but now devotes more time to crisis management and mitigation. She holds the LuAnn S. Polk Coeducation Chair.

After raising her children, Cathy moved back into the dormitory and now heads an Upper School dorm. Her dorm apartment has a huge fireplace, and she enjoys having the girls in for hot chocolate in front of a roaring fire. Over the years, Cathy has coached girls varsity and thirds soccer and girls varsity crew; currently, she times varsity basketball games.

Cathy is an EMT and a nationally certified firefighter for the Town of Groton, as well as mother to Alex ‘07 and Abigail ’10. She has a master’s from Dartmouth College. When she finds time, she can be found baking in her kitchen or working in her gardens.
Allyson Taylor

ataylor@groton.org
Bio
Mathematician and artist Allyson Taylor joined the Groton community in 2020. She graduated from Davidson College in 2019 with a major in mathematics and a minor in studio art, and spent the 2019–20 school year
teaching computer science at Greenwich Academy in Connecticut. Outside of the classroom, she hopes to lead budding artists in creative applications of the Groton Fab lab and other digital art pursuits. She is passionate about drawing, printmaking, creative technology, linear algebra, most kinds of animals, and her students.
Nathaniel White

978-448-7592

NWhite@groton.org
Bio
Nat White joined the Groton faculty in 2018. He teaches math, coaches soccer and ice hockey, and serves as a dorm affiliate. A native of Milwaukee, Nat spent his undergraduate years at Williams College studying math and chemistry. Since then, he has pursued multiple passions and interests, both academic and athletic. Along the way, Nat earned an MA studying educational policy at the University of Michigan and an MS in mathematics at the University of Wisconsin-Milwaukee. He has taught math and coached at a private day school in Wisconsin and a boarding school in Connecticut. Nat is excited to work with Groton students and colleagues who demonstrate their talents and curiosity in multiple realms.

Nat lives on campus with his wife, Julie ’95, their two elementary school-aged children, and two cats. In addition to his teaching and coaching interests, Nat enjoys speedskating, cycling, hiking, camping, and reading.
Zara Williams-Nicholas

Mathematics Fellow

978-448-7384

zwilliams-nicholas@groton.org
Bio
Zara Williams-Nicholas is the 2019–20 Mathematics Teaching Fellow. They graduated from Swarthmore College in 2019 with a double major in mathematics and dance. At Swarthmore, Zara worked as a peer tutor for the Mathematics Department and choreographed for the school's Dance Department. In their free time, Zara also worked as a SAT mathematics tutor for Jamaican students.

Zara is originally from Jamaica and enjoys learning how to garden and farm. They can sometimes be found walking around their community, admiring the trees and flowers.

Explore our Curriculum

Mathematics and Computer Science

Our Faculty