# Courses - Summer 2020

Below is the course information for **May 18, 2020** through **August 21, 2020.** Click on any of the links that say "Section Information" for details about class times, locations, and instructors.

Note: Any section numbers that include the letter 'H' are honors section. Learn more about math honors eligibility and how to enroll in an honors section.

**MATH 100: Math Lab**

The main purpose of this course is to serve as a preparation for MATH 105, MATH 106, MATH 107, and MATH 112, with an emphasis on problem-solving techniques and graphing technology. Content includes the following topics: linear, quadratic, polynomial, rational, and absolute value equations and inequalities, algebraic expressions, graphing techniques, factoring techniques, exponents and basic data analysis. Students who wish to continue to higher level math courses will have the option to work with additional course material in algebra and trigonometry to facilitate this preparation. This course by itself cannot be used to satisfy the foundations math requirement for any degree program. Examinations are proctored.

**MATH 107: Exploring and Understanding Data**

The main purpose of this course is to help students understand, interpret, and represent data in a useful way to prepare students for courses in statistics. The course will provide students with the knowledge of basic mathematical and software tools and concepts which they can utilize to interpret quantitative information they encounter in their daily life. With the knowledge they gain, students will be able to better understand and assess the validity of quantitative information they receive through the web, newspaper, television, etc. Course topics will include creating various data summaries and descriptive statistics, probability, normal distributions, linear and other regression models, applying techniques to real world data sets. Examinations are proctored.

### View Section Information

Section | Days | Time | Location | Instructor |
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MATH 107-101 | Online | Kim, Heonmi | ||

MATH 107-201 | Online | Acevedo, Alberto |

**MATH 112: College Algebra Concepts and Applications**

Topics include properties of functions and graphs, linear and quadratic equations, polynomial functions, exponential and logarithmic functions with applications. A graphing calculator is required for this course. We recommend the TI-83 or TI-84 models. Calculators that perform symbolic manipulations, such as the TI-89, NSpire CAS, or HP50g, cannot be used. Except as per University policy on repeating a course, credit will not be given for this course if the student has credit in a higher level math course. Such students may be dropped from the course. Examinations are proctored.

### View Section Information

Section | Days | Time | Location | Instructor |
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MATH 112-101 | Online | Chen, Zhuo | ||

MATH 112-102 | Online | Zhu, Zihan | ||

MATH 112-201 | Online | Ondracek, Chloe |

**MATH 113: Elements of Calculus**

Introductory topics in differential and integral calculus. Students are expected to have a graphing calculator. Except as per University policy on repeating a course, credit will not be given for this course if the student has credit in a higher level math course. Such students may be dropped from the course. Examinations are proctored.

### View Section Information

Section | Days | Time | Location | Instructor |
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MATH 113-001 | Mo, Tu, We, Th, Fr | 11:00am-12:45pm | OFF C REMOTE | Varghese, Mariamma G |

**MATH 116: Calculus Concepts for Business**

Introductory topics in differential and integral calculus, with particular emphasis on understanding the principal concepts and their applications to business. Microsoft Excel and graphing calculators will be used as tools for further understanding these concepts. Except as per University policy on repeating a course, credit will not be given for this course if the student has credit in a higher level math course. Such students may be dropped from the course.

### View Section Information

Section | Days | Time | Location | Instructor |
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MATH 116-101 | Online | Guzman, Anthony | ||

MATH 116-102 | Online | Reyes, Stephen | ||

MATH 116-103 | Online | Biegel, Hannah | ||

MATH 116-104 | Online | |||

MATH 116-105 | Online | Foster, Steven G | ||

MATH 116-106 | Online | |||

MATH 116-201 | Online | Gilbert, Michael James |

**MATH 120R: Calculus Preparation**

Review of algebra and trigonometry; study of functions including polynomial, rational, exponential, logarithmic and trigonometric. A graphing calculator is required for this course. We recommend the TI-83 or TI-84 models. Calculators that perform symbolic manipulations, such as the TI-89, NSpire CAS, or HP50g, cannot be used. For students who have high school credit in college algebra and trigonometry but have not attained a sufficient score on the UA Math Placement Test to enter calculus. Except as per University policy on repeating a course, credit will not be given for this course if the student has credit in a higher level math course. Such students may be dropped from the course. Examinations are proctored.

### View Section Information

Section | Days | Time | Location | Instructor |
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MATH 120R-101 | Online | |||

MATH 120R-201 | Online | Person-Renell, Chris |

**MATH 121A: Precalculus Functions and Models, Part I**(for online campus students ONLY)

This is the first in a sequence of courses designed to lead to Calculus I. It serves a prerequisite for Math 121B. Topics covered include: functions and graphs, rates of change, transformations, inverse functions, quadratic and polynomial functions, rational functions, trigonometric functions. Examinations are proctored.

**MATH 121B: Precalculus Functions and Models, Part II**(for online campus students ONLY)

This is the second in a sequence of courses designed to lead to Calculus I. Topics covered include: trigonometric functions and identities, exponential and logarithmic functions and models, limits. Examinations are proctored.

**MATH 122A: Functions for Calculus**

Elementary functions, their properties, and uses in modeling. A graphing calculator is required for this course. We recommend the
TI-83 or TI-84 models. Calculators that perform symbolic manipulations, such as the TI-89, NSpire CAS, or HP50g, cannot be used.

### View Section Information

Section | Days | Time | Location | Instructor |
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MATH 122A-102 | Online | Krawczyk, Donna M | ||

MATH 122A-202 | Online |

**MATH 122B: First-Semester Calculus**

An introduction to first-semester calculus for engineering, science and math students, from rates of change to integration, with an emphasis on understanding, problem solving, and modeling. Topics covered include key concepts of derivative and definite integral, techniques of differentiation, and applications, using algebraic and transcendental functions. A graphing calculator is required for this course. We recommend the TI-83 or TI-84 models. Calculators that perform symbolic manipulations, such as the TI-89, NSpire CAS, or HP50g, cannot be used. Examinations are proctored. Except as per University policy on repeating a course, credit will not be given for this course if the student has credit in a higher level math course. Such students may be dropped from the course.

### View Section Information

Section | Days | Time | Location | Instructor |
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MATH 122B-101 | Online | Wei, Bolun | ||

MATH 122B-102 | Online | Fider, Nicole | ||

MATH 122B-201 | Online | Lazarus, Tynan |

**MATH 129: Calculus II**

Continuation of MATH 122B or MATH 125. Techniques of symbolic and numerical integration, applications of the definite integral to geometry, physics, economics, and probability; differential equations from a numerical, graphical, and algebraic point of view; modeling using differential equations, approximations by Taylor series. A graphing calculator is required for this course. We recommend the TI-83 or TI-84 models. Calculators that perform symbolic manipulations, such as the TI-89, NSpire CAS, or HP50g, cannot be used. Examinations are proctored.

### View Section Information

Section | Days | Time | Location | Instructor |
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MATH 129-002 | Mo, Tu, We, Th, Fr | 9:00am-10:45am | OFF C REMOTE | Johnson, Greg |

MATH 129-003 | Mo, Tu, We, Th, Fr | 11:00am-12:45pm | OFF C REMOTE | Navarrete, Raymundo |

MATH 129-101 | Online | Swift, Lindsay | ||

MATH 129-201 | Online | Wilson, Mitchell James |

**MATH 223: Vector Calculus**

Math 223 Vector Calculus (4 semester credit hours) The course covers differential and integral calculus of functions of several variables. Topics include vector valued and scalar functions, partial derivatives, directional derivatives, chain rule, local optimization, double and triple integrals, the line integral, Green's theorem, Stokes' theorem and the Divergence theorem. Examinations are proctored.

### View Section Information

Section | Days | Time | Location | Instructor |
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MATH 223-002 | Mo, Tu, We, Th, Fr | 9:00am-11:20am | OFF C REMOTE | Jewell, Chris |

MATH 223-101 | Online | Krawczyk, Donna M | ||

MATH 223-201 | Online | Krawczyk, Donna M |

**MATH 243: Discrete Mathematics in Computer Science**

Set theory, logic, discrete structures; induction and recursion; graphs and networks; techniques of proof. Examinations are proctored.

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Section | Days | Time | Location | Instructor |
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MATH 243-101 | Online | Bailey, Brenae | ||

MATH 243-201 | Online | Bailey, Brenae |

**MATH 254: Introduction to Ordinary Differential Equations**

Solution methods for ordinary differential equations, qualitative techniques; includes matrix methods approach to systems of linear equations and series solutions. Examinations are proctored.

### View Section Information

Section | Days | Time | Location | Instructor |
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MATH 254-002 | Mo, Tu, We, Th, Fr | 9:00am-10:45am | OFF C REMOTE | Harris, Thomas |

MATH 254-101 | Online | Loomis, Alex | ||

MATH 254-201 | Online | Stone, Megan McCormick Stone |

**MATH 263: Introduction to Statistics and Biostatistics**

Organizing data; distributions, measures of center and spread, scatterplots, nonlinear models and transformations, correlation, regression. Design of experiments: models from probability, discrete and continuous random variables, normal distributions, sampling distributions, the central limit theorem. Statistical inference; confidence intervals and test of significance, t procedures, inference for count data, two-way tables and chi-square procedures, inference for regression, analysis of variance. Examinations are proctored.

### View Section Information

Section | Days | Time | Location | Instructor |
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MATH 263-101 | Online | Winchester, Alex |

**MATH 310: Applied Linear Algebra**

Applications and methods of linear algebra emphasizing matrices and systems of equations, determinants, eigenvectors and eigenvalues. This course is an excellent introduction to linear algebra for students who are interested in a math minor. It does not satisfy requirements for the math major. Students who might be interested in the math major should consider taking Math 313.

### View Section Information

Section | Days | Time | Location | Instructor |
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MATH 310-001 | Mo, Tu, We, Th, Fr | 11:00am-12:45pm | OFF C REMOTE | Elert, Eric |

**MATH 313: Inroduction to Linear Algebra**

An algorithmic approach to solving systems of linear equations transitions into the study of vectors, vector spaces and dimension. Matrices are used to represent linear transformations and this leads to eigenvectors and eigenvalues. The precise use of definitions plays an important role. Examinations are proctored. This course is required in the math major and prepares students to take Math 323. It is a prerequisite to the majority of the higher level courses in mathematics.

### View Section Information

Section | Days | Time | Location | Instructor |
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MATH 313-002 | Mo, Tu, We, Th, Fr | 10:00am-11:15am | OFF C REMOTE | Lanius, Melinda |

MATH 313-102 | Online | Lanius, Melinda |

**MATH 422: Advanced Applied Mathematics**

Applications of vector calculus, complex variables, and Sturm Liouville theory. Fourier series, Fourier and Laplace transforms, and separation of variables in classical partial differential equations. This course takes a more mathematical approach than Math 322.

**DATA 462: Financial Math**

Analysis of cash flows from an actuarial viewpoint. Interest theory, annuities, bonds, loans, and related fixed income portfolios, rate of return, yield, duration, immunization, and related concepts.

**MATH 462: Financial Math**

Analysis of cash flows from an actuarial viewpoint. Interest theory, annuities, bonds, loans, and related fixed income portfolios, rate of return, yield, duration, immunization, and related concepts.