Award-Winning Finite Mathematics Tutors
serving Scranton, PA

Economics training at the undergraduate level means Simon spent real time inside the linear programming and matrix models that finite mathematics courses test — building objective functions, interpreting shadow prices, and optimizing under constraints weren't abstract exercises but core tools for economic analysis. He's especially useful when students need to connect the algebra of systems of inequalities to what the solution actually means in context.

Physics training builds a particular kind of comfort with matrices and systems of equations — Erik used them constantly for modeling physical systems, which translates directly into the matrix algebra and linear programming that finite mathematics courses test. He unpacks each problem by clarifying the structure first, making sure students see how to organize constraints or set up a payoff table before jumping into computation.

Seven years of teaching across math levels from elementary through calculus gives Kate a clear read on which algebraic gaps cause students to stall when they hit finite math topics like counting techniques and probability setups. She's particularly effective at slowing down on the translation step — turning a dense word problem into a clean mathematical framework — which is where most finite mathematics students actually lose points. Rated 4.9 by students.

I am a very passionate teacher who has worked in public and private school settings at both the high school and college level. I have an undergraduate mathematics degree, and taught AP Calculus at a North Carolina high school. I also have a PhD in philosophy, and have taught at major research universities in Missouri and Ohio. I am personally invested in my students' success, and take pride in being clear, conscientious, and accessible.

Nursing school requires more discrete math than most people realize — dosage calculations, probability in diagnostics, and interpreting statistical data are baked into the curriculum. Megan applies that practical number sense to finite mathematics topics like counting techniques and basic probability, breaking down word problems into concrete scenarios that make the setup phase less intimidating. Rated 5.0 by students.

Most finite mathematics students struggle not with the computation but with identifying which tool fits which problem — is this a matrix setup, a counting argument, or a linear programming model? Alex's broad math background spanning pre-algebra through calculus gives him the range to meet those translation moments head-on, breaking down the problem's language before jumping to formulas. Rated 4.8 by students.

Applied math majors don't just pass through finite mathematics — topics like linear programming, matrix operations, and combinatorics are foundational to the optimization and modeling work Roel trained in throughout his degree. He's especially sharp at teaching students how to set up and interpret systems of linear inequalities, connecting the algebraic steps to what the feasible region actually represents on a graph.

I like helping students. I am very patient. I have experience teaching Calculus classes at the University of Miami. I have done private tutoring for all levels of math up to Calculus, as well as Statistics, Business Math, and Math Finance. I have worked in the actuarial field. I have an undergraduate degree in mathematics from Michigan State University and a Master's degree in mathematics from the University of Miami. I worked for The Princeton Review as a tutor for the SAT. I did very well on both the SAT and ACT, and like teaching students how to do better on those. I like history, too, and always find it fun to tutor history.

I am currently an adjunct professor of chemistry at a small liberal arts college in the Chicago area. Previously, I worked in the chemical industry for several years as a researcher, but I've found that the most satisfying moments have come when I am able to share my expertise with someone else. Similarly, I very much enjoyed the four semesters in the graduate school when I was a teaching assistant. It gave me the opportunity to work with students and help them develop an understanding for the subject. These are the primary reasons that I have decided to go into teaching.

Most finite mathematics students hit a wall not on the computation but on knowing which tool to reach for — is this a matrix problem, a linear programming setup, or a counting argument? Carson, a math major at the University of Chicago heading toward a doctorate, has the algebraic range to connect those topics rather than treat them as disconnected chapters. He unpacks each problem type by showing how set theory, probability, and optimization share underlying structure.

Linear programming, matrix operations, and combinatorics can feel disconnected from the rest of math until someone ties them together. Maggie's engineering background means she regularly uses these tools — from optimization models in her PhD research to probability applied in biomedical data analysis. She teaches Finite Mathematics by anchoring each topic in a concrete decision-making scenario.

Economics PhD work at Yale means Anthony uses matrix algebra, linear programming, and probability models as everyday research tools — not just textbook exercises to get through. He unpacks the logic behind setting up objective functions and constraint systems so students see the structure of a problem before they start computing. Rated 5.0 by students.

Anna's policy analysis PhD at Pardee RAND means she uses matrix algebra, probability models, and optimization daily — the same toolkit that finite mathematics courses test in a more compressed format. She unpacks linear programming and decision-theory problems by tying them to the real policy scenarios where these methods actually get applied, which makes abstract setups feel less arbitrary.

Linear programming, matrix operations, and combinatorics can feel like disconnected topics thrown into one course. Yuanxin ties them together through her engineering training, where finite math concepts like Markov chains and optimization actually drive real-world decision-making. Her 4.9 rating speaks to how clearly she makes those connections click.

Discrete math and computer science grad work at DePaul keep Ignacio immersed in the logic, set operations, and counting techniques that finite mathematics courses revolve around — he's using these tools actively, not recalling them from years ago. He's especially sharp at unpacking the matrix algebra side of the course, connecting row operations and system setups to the computational thinking he applies daily in his CS program.

MBA coursework at Tulane and an undergraduate business background mean Juliana regularly works with the matrix algebra, probability, and optimization models that finite mathematics courses cover — she's encountered them as practical tools for management decisions, not just textbook exercises. She's especially effective at translating messy word problems into clean setups, particularly in linear programming and counting units where students struggle to identify what the variables actually represent. Rated 5.0 by students.

Linear programming, matrix operations, and probability models can feel disconnected from the rest of a student's math experience, which is part of what makes finite mathematics so tricky. Alan's mathematics degree and teaching background let him tie these topics together into a coherent framework rather than treating each chapter as an isolated unit. He's particularly effective at translating word-heavy application problems into clear mathematical setups.

Pursuing a statistics and machine learning certificate at Princeton alongside her philosophy degree means Julie regularly works with the probability, combinatorics, and matrix operations that finite mathematics courses are built around — but her philosophy training also sharpens the logical reasoning that makes set theory and counting arguments click. She's especially strong at unpacking problems where the challenge isn't computation but figuring out how to structure the setup in the first place. Rated 4.9 by students.