Multivariable Calculus
Multivariable Calculus begins by exploring vector geometry and functions in more than one variable. Then, after expanding the concepts of limits and continuity to include multivariate functions, students develop a rich understanding of concepts and methods relating to the main topics of Partial Differentiation and Multiple Integration. After generalizing a number of tools from single-variable to multivariate calculus, we explore topics of optimization and geometric applications in areas including physics, economics, probability, and technology. We expand our fluency with topics to address vector fields and parametric functions, and we will understand applications of Green’s and Stokes’ Theorems. We employ multidimensional graphing programs to aid in developing a more thorough understanding of the myriad ways for describing and analyzing properties of multivariate functions. At the conclusion of the course, students have the opportunity to further explore applications of and/or concepts relating to topics covered by the course. Throughout the course, emphasis is placed on students expressing fluency with numerical, algebraic, visual, and verbal interpretations of concepts. Students can expect to collaborate weekly on homework, problem-sets, and projects in small groups and in tutorial with their instructor online; face-to-face sessions may include visits with experts analyzing functions in multiple variables as well as group problem-solving activities and assessments. Prerequisites: Completion of one full year of Single Variable Calculus AB or BC.
About the InstructorS
There will be 2 tandem sections of MVC in the 2021-2022 school year.
Shanti Kolluri -The College Prep School Shanti has been teaching math for eleven years. She has taught all levels of high school math, including theoretical and applied computer science courses. She currently teaches Precalculus and Multivariable Calculus at College Preparatory high school in Oakland, California. Prior to teaching, she worked as an embedded software engineer in the field of digital signal processing for nine years. Shanti earned her M.A in Education with a specialization in mathematics from Stanford University, and M.S in Electrical Engineering from Texas A&M University, College Station. She loves Salsa dancing, taking long walks in the sun, reading books, taking naps, learning new languages, and exploring the beauty of all things math!
Kevin Rees – Marin Academy Kevin teaches math at Marin Academy and is also the 9th-grade Dean. In his sixteen years at Marin Academy he has taught all levels of math from Algebra I to Multivariable Calculus, including courses in Computer Science, Number Theory, and the new transdisciplinary course on Smart Cities and Data Science. Prior to Marin Academy he worked at American and International schools in Europe. Kevin earned a B.A. from Colgate University and a M.S. in Mathematical Sciences from Clemson University. In his spare time he enjoys reading fiction, riding road and mountain bikes, trying to surf, hiking, and spending time with his family.
Student & Alum Testimonials
I appreciated the teacher’s passion and the strong emphasis on understanding the material and its applications through textbook problems and a final project.
I liked learning at my own pace and not having any busy work to do, which is always my least favorite part of courses. The teacher was really energetic and fun, so that made the course even better.
The course is very well organized in the way it is presented, which makes it easier to manage my time and stay on track.