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Mathematics, Applied Mathematics, and Statistics Courses


IHSC 300: Synthesis of Premedical Concepts

This course aims to hone skills necessary to synthesize and integrate knowledge across multiple subject areas, and to assist in preparing for health professional school admission, such as the MCAT. The course is team taught to include faculty expertise in biochemistry, biology, chemistry, English, mathematics, physics, psychological sciences and sociology. Critical analysis and reasoning skills will be emphasized. Completion of introductory courses in all subject areas above is strongly recommended before taking this course. MCAT materials from the AAMC (Association of American Medical Colleges) will be used to guide and enhance a student’s ability to synthesize across many fields, and increase critical reasoning and analytical competencies.

For summer 2021, this course will be offered in-person. For more information, please reach out to the instructor. 

Dates: May 21 - June 11, 2021

Session: May Session

Time: MTWRF 9:30-1:30

Instructor: Rebecca Benard, Susan Burden-Gulley, Greg Tochtrop, Kim Emmons, Harsh Mathur, Jennifer Butler, Jessica Kelly

Credits: 3 credits

Departments: Biochemistry, Biology, Chemistry, English, Mathematics, Applied Mathematics, and Statistics, Physics, Psychological Sciences, Sociology

MATH 121: Calculus for Science and Engineering I

Functions, analytic geometry of lines and polynomials, limits, derivatives of algebraic and trigonometric functions. Definite integral, antiderivatives, fundamental theorem of calculus, change of variables. Recommended preparation: Three and one half years of high school mathematics. Credit for at most one of MATH 121, MATH 123 and MATH 125 can be applied to hours required for graduation.

For summer 2021, this course will be offered in-person. For more information, please reach out to the instructor. 

Dates: June 1 - July 27, 2021

Session: 8 Week Session

Time: MTWR 8:45-10:15

Instructor: David Grzybowski

Credits: 4 credits

Department: Mathematics, Applied Mathematics, and Statistics

MATH 122: Calculus for Science and Engineering II

Continuation of MATH 121. Exponentials and logarithms, growth and decay, inverse trigonometric functions, related rates, basic techniques of integration, area and volume, polar coordinates, parametric equations. Taylor polynomials and Taylor’s theorem. Credit for at most one of MATH 122, MATH 124, and MATH 126 can be applied to hours required for graduation. Prereq: MATH 121, MATH 123 or MATH 126.

For summer 2021, this course will be offered remote-asynchronous. For more information, please reach out to the instructor. 

Dates: June 1 - July 27, 2021

Session: 8 Week Session

Instructor: Leon Bykov

Credits: 4 credits

Department: Mathematics, Applied Mathematics, and Statistics

MATH 126: Math and Calculus Applications for Life, Managerial, and Social Sci II

Continuation of MATH 125 covering differential equations, multivariable calculus, discrete methods. Partial derivatives, maxima and minima for functions of two variables, linear regression. Differential equations; first and second order equations, systems, Taylor series methods; Newton’s method; difference equations. Credit for at most one of MATH 122, MATH 124, and MATH 126 can be applied to hours required for graduation. Prereq: MATH 121, MATH 123 or MATH 125.

For summer 2021, this course will be offered remote-synchronous. For more information, please reach out to the instructor. 

Dates: June 1 - July 27, 2021

Session: 8 Week Session

Time: MTWR 8:45-10:15

Instructor: Long Tran

Credits: 4 credits

Department: Mathematics, Applied Mathematics, and Statistics

MATH 201: Introduction to Linear Algebra for Applications

Matrix operations, systems of linear equations, vector spaces, subspaces, bases and linear independence, eigenvalues and eigenvectors, diagonalization of matrices, linear transformations, determinants. Less theoretical than MATH 307. Appropriate for majors in science, engineering, economics. Prereq: MATH 122, MATH 124 or MATH 126.

For summer 2021, this course will be offered remote-synchronous. For more information, please reach out to the instructor. 

Dates: June 1 - July 27, 2021

Session: 8 Week Session

Time: MTWR 10:30-11:45

Instructor: Ulises Fidalgo

Credits: 3 credits

Department: Mathematics, Applied Mathematics, and Statistics

MATH 223: Calculus for Science and Engineering III

Introduction to vector algebra; lines and planes. Functions of several variables: partial derivatives, gradients, chain rule, directional derivative, maxima/minima. Multiple integrals, cylindrical and spherical coordinates. Derivatives of vector valued functions, velocity and acceleration. Vector fields, line integrals, Green’s theorem. Credit for at most one of MATH 223 and MATH 227 can be applied to hours required for graduation. Prereq: MATH 122 or MATH 124.

For summer 2021, this course will be offered remote-synchronous. For more information, please reach out to the instructor. 

Dates: June 1 - July 27, 2021

Session: 8 Week Session

Time: MTWR 9:00-10:15

Instructor: Christopher Butler

Credits: 3 credits

Department: Mathematics, Applied Mathematics, and Statistics

MATH 224: Elementary Differential Equations

A first course in ordinary differential equations. First order equations and applications, linear equations with constant coefficients, linear systems, Laplace transforms, numerical methods of solution. Credit for at most one of MATH 224 and MATH 228 can be applied to hours required for graduation. Prereq: MATH 223 or MATH 227.

For summer 2021, this course will be offered remote-synchronous. For more information, please reach out to the instructor. 

Dates: June 1 - July 2, 2021

Session: 5 Week Session

Time: MTWR 9:15-11:00

Instructor: Qimin Huang

Credits: 3 credits

Department: Mathematics, Applied Mathematics, and Statistics

MATH 304: Discrete Mathematics

A general introduction to basic mathematical terminology and the techniques of abstract mathematics in the context of discrete mathematics. Topics introduced are mathematical reasoning, Boolean connectives, deduction, mathematical induction, sets, functions and relations, algorithms, graphs, combinatorial reasoning.
Offered as CSDS 302, ECSE 302 and MATH 304.

For summer 2021, this course will be offered remote-synchronous. For more information, please reach out to the instructor. 

Dates: May 21 - June 11, 2021

Session: May Session

Time: MTWRF 9:35-12:35

Instructor: Shuai Xu

Credits: 3 credits

Department: Mathematics, Applied Mathematics, and Statistics

STAT 201: Basic Statistics for Social and Life Sciences

Designed for undergraduates in the social sciences and life sciences who need to use statistical techniques in their fields. Descriptive statistics, probability models, sampling distributions. Point and confidence interval estimation, hypothesis testing. Elementary regression and analysis of variance. Not for credit toward major or minor in Statistics.

For summer 2021, this course will be offered remote-asynchronous. For more information, please reach out to the instructor. 

Dates: May 21 - June 11, 2021

Session: May Session

Instructor: Paula Fitzgibbon

Credits: 3 credits

Department: Mathematics, Applied Mathematics, and Statistics

STAT 312: Basic Statistics for Engineering and Science

For advanced undergraduate students in engineering, physical sciences, life sciences. Comprehensive introduction to probability models and statistical methods of analyzing data with the object of formulating statistical models and choosing appropriate methods for inference from experimental and observational data and for testing the model’s validity. Balanced approach with equal emphasis on probability, fundamental concepts of statistics, point and interval estimation, hypothesis testing, analysis of variance, design of experiments, and regression modeling. Note: Credit given for only one (1) of STAT 312, 312R, 313; SYBB 312R. Prereq: MATH 122 or equivalent.

For summer 2021, this course will be offered remote-synchronous. For more information, please reach out to the instructor. 

Dates: July 6 - August 2, 2021

Session: 4 Week Session (2)

Time: MTWR 2:30-4:45

Instructor: Anirban Mondal

Credits: 3 credits

Department: Mathematics, Applied Mathematics, and Statistics

STAT 312: Basic Statistics for Engineering and Science

For advanced undergraduate students in engineering, physical sciences, life sciences. Comprehensive introduction to probability models and statistical methods of analyzing data with the object of formulating statistical models and choosing appropriate methods for inference from experimental and observational data and for testing the model’s validity. Balanced approach with equal emphasis on probability, fundamental concepts of statistics, point and interval estimation, hypothesis testing, analysis of variance, design of experiments, and regression modeling. Note: Credit given for only one (1) of STAT 312, 312R, 313; SYBB 312R. Prereq: MATH 122 or equivalent.

For summer 2021, this course will be offered in-person. For more information, please reach out to the instructor. 

Dates: June 1 - July 2, 2021

Session: 5 Week Session

Time: MTW 9:00-11:20

Instructor: Wojbor Woyczynski

Credits: 3 credits

Department: Mathematics, Applied Mathematics, and Statistics

STAT 312R: Basic Statistics for Engineering and Science Using R Programming

For advanced undergraduate students in engineering, physical sciences, life sciences. Comprehensive introduction to probability models and statistical methods of analyzing data with the object of formulating statistical models and choosing appropriate methods for inference from experimental and observational data and for testing the model’s validity. Balanced approach with equal emphasis on probability, fundamental concepts of statistics, point and interval estimation, hypothesis testing, analysis of variance, design of experiments, and regression modeling. Note: Credit given for only one (1) of STAT 312, STAT 312R, STAT 313 or SYBB 312R.
Offered as STAT 312R and SYBB 312R. Prereq: MATH 122 or equivalent.

For summer 2021, this course will be offered remote-synchronous. For more information, please reach out to the instructor. 

Dates: July 6 - August 2, 2021

Session: 4 Week Session (2)

Time: MTWR 2:30-4:45

Instructor: Anirban Mondal

Credits: 3 credits

Department: Mathematics, Applied Mathematics, and Statistics

SYBB 312R: Basic Statistics for Engineering and Science Using R Programming

For advanced undergraduate students in engineering, physical sciences, life sciences. Comprehensive introduction to probability models and statistical methods of analyzing data with the object of formulating statistical models and choosing appropriate methods for inference from experimental and observational data and for testing the model’s validity. Balanced approach with equal emphasis on probability, fundamental concepts of statistics, point and interval estimation, hypothesis testing, analysis of variance, design of experiments, and regression modeling. Note: Credit given for only one (1) of STAT 312, STAT 312R, STAT 313 or SYBB 312R.
Offered as STAT 312R and SYBB 312R. Prereq: MATH 122 or equivalent.

For summer 2021, this course will be offered remote-synchronous. For more information, please reach out to the instructor. 

Dates: July 6 - August 2, 2021

Session: 4 Week Session (2)

Time: MTWR 2:30-4:45

Instructor: Anirban Mondal

Credits: 3 credits

Department: Mathematics, Applied Mathematics, and Statistics

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