Mathematics, Applied Mathematics, and Statistics Courses
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. Counts as a CAS Quantitative Reasoning course. Counts as a Quantitative Reasoning course. Prereq: MATH 120 or a score of 30 on the mathematics diagnostic test or exempt from the mathematics diagnostic test.
Dates: June 3 - July 31, 2024
Session: 8 Week Session
Dates: In-person course
Session: On campus
Time: MTWR 8:45-10:15am
Instructor: Sara Stinchcomb
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.
Dates: June 3 - July 31, 2024
Session: 8 Week Session
Dates: Online course
Session: Online
Time: MTWR 8:45-10:15am
Instructor: Marco Roque-Sol
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.
Dates: June 3 - July 31, 2024
Session: 8 Week Session
Dates: In-person course
Session: On campus
Time: MTWR 8:45-10:15am
Instructor: Andrew Edwards
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.
Dates: June 3 - July 31, 2024
Session: 8 Week Session
Dates: Online course
Session: Online
Time: MTWR 10:30-11:45am
Instructor: Mykhailo Kuian
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.
Dates: June 3 - July 31, 2024
Session: 8 Week Session
Dates: In-person course
Session: On campus
Time: MTWR 9-10:15am
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.
Dates: June 3 - July 31, 2024
Session: 8 Week Session
Dates: Online course
Session: Online
Time: MTWR 10-11:15am
Instructor: Long Tran
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. Counts as a CAS Quantitative Reasoning course. Counts as a Quantitative Reasoning course.
Dates: May 13 - May 31, 2024
Session: May Session
Dates: In-person course
Session: On campus
Time: MTWRF 9:30-11:50am
Instructor: Paula Fitzgibbon
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, 312R, 313; SYBB 312R. Prereq: MATH 122 or equivalent.
Dates: June 3 - July 1, 2024
Session: 4 Week Session (1)
Dates: Online course
Session: Online
Time: MTWR 10:30am-12:45pm
Instructor: Siddhartha Nandy
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.
Dates: June 3 - July 1, 2024
Session: 4 Week Session (1)
Dates: Online course
Session: Online
Time: MTWR 10:30am-12:45pm
Instructor: Siddhartha Nandy
Credits: 3 credits
Department: Mathematics, Applied Mathematics, and Statistics
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. Counts as a CAS Quantitative Reasoning course. Counts as a Quantitative Reasoning course. Prereq: MATH 120 or a score of 30 on the mathematics diagnostic test or exempt from the mathematics diagnostic test.
Dates: June 3 - July 31, 2024
Session: 8 Week Session
Dates: In-person course
Session: On campus
Time: MTWR 8:45-10:15am
Instructor: Sara Stinchcomb
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.
Dates: June 3 - July 31, 2024
Session: 8 Week Session
Dates: Online course
Session: Online
Time: MTWR 8:45-10:15am
Instructor: Marco Roque-Sol
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.
Dates: June 3 - July 31, 2024
Session: 8 Week Session
Dates: In-person course
Session: On campus
Time: MTWR 8:45-10:15am
Instructor: Andrew Edwards
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.
Dates: June 3 - July 31, 2024
Session: 8 Week Session
Dates: Online course
Session: Online
Time: MTWR 10:30-11:45am
Instructor: Mykhailo Kuian
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.
Dates: June 3 - July 31, 2024
Session: 8 Week Session
Dates: In-person course
Session: On campus
Time: MTWR 9-10:15am
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.
Dates: June 3 - July 31, 2024
Session: 8 Week Session
Dates: Online course
Session: Online
Time: MTWR 10-11:15am
Instructor: Long Tran
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. Counts as a CAS Quantitative Reasoning course. Counts as a Quantitative Reasoning course.
Dates: May 13 - May 31, 2024
Session: May Session
Dates: In-person course
Session: On campus
Time: MTWRF 9:30-11:50am
Instructor: Paula Fitzgibbon
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, 312R, 313; SYBB 312R. Prereq: MATH 122 or equivalent.
Dates: June 3 - July 1, 2024
Session: 4 Week Session (1)
Dates: Online course
Session: Online
Time: MTWR 10:30am-12:45pm
Instructor: Siddhartha Nandy
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.
Dates: June 3 - July 1, 2024
Session: 4 Week Session (1)
Dates: Online course
Session: Online
Time: MTWR 10:30am-12:45pm
Instructor: Siddhartha Nandy
Credits: 3 credits
Department: Mathematics, Applied Mathematics, and Statistics