The University of Arizona

Courses - Spring 2023

Below is the course information for January 11, 2023 through May 11, 2023. 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.

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.

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Section Days Time Location
MATH 100-001 Mo 9:30am-10:45am Online
MATH 100-002 Mo 9:30am-10:45am Online
MATH 100-003 Mo 9:30am-10:45am Online
MATH 100-004 Mo 11:00am-12:15pm Online
MATH 100-005 Mo 11:00am-12:15pm Online
MATH 100-006 Mo 11:00am-12:15pm Online
MATH 100-007 Mo 12:30pm-1:45pm Online
MATH 100-008 Mo 12:30pm-1:45pm Online
MATH 100-009 Mo 12:30pm-1:45pm Online
MATH 100-010 Tu, Th 9:30am-10:45am Online
MATH 100-011 Tu, Th 9:30am-10:45am Online
MATH 100-012 Tu, Th 9:30am-10:45am Online
MATH 100-013 Tu, Th 11:00am-12:15pm Online
MATH 100-014 Tu, Th 11:00am-12:15pm Online
MATH 100-015 Tu, Th 11:00am-12:15pm Online
MATH 100-016 Tu, Th 12:30pm-1:45pm Online
MATH 100-017 Tu, Th 12:30pm-1:45pm Online
MATH 100-018 Tu, Th 12:30pm-1:45pm Online
MATH 100-019 We 9:30am-10:45am Online
MATH 100-020 We 9:30am-10:45am Online
MATH 100-021 We 9:30am-10:45am Online
MATH 100-022 We 11:00am-12:15pm Online
MATH 100-023 We 11:00am-12:15pm Online
MATH 100-024 We 11:00am-12:15pm Online
MATH 100-025 We 12:30pm-1:45pm Online
MATH 100-026 We 12:30pm-1:45pm Online
MATH 100-027 We 12:30pm-1:45pm Online
MATH 100-028 We 2:00pm-3:30pm Online
MATH 100-029 We 2:00pm-3:30pm Online
MATH 100-030 We 2:00pm-3:30pm Online
MATH 100-103 Online
MATH 100-201 Online
MATH 100-202 Online
MATH 100-203 Online
MATH 100-401 Online
MATH 100-402 Online
MATH 100-403 Online
This course explores algebraic thinking from early childhood through middle school, with a focus on the different conceptions of algebra, including generalized arithmetic; patterns and functions; and modeling. Students will examine the different topics in K-8 algebra from an advanced perspective. Examinations are proctored.

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Section Days Time Location
MATH 106-001 Mo, We, Fr 10:00am-10:50am ILC 119
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.

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Section Days Time Location
MATH 107-001 Tu, Th 8:00am-9:15am EDUC 211
MATH 107-002 Tu, Th 8:00am-9:15am SAGHA 202
MATH 107-003 Tu, Th 11:00am-12:15pm SAGHA 202
MATH 107-004 Tu, Th 12:30pm-1:45pm SAGHA 202
MATH 107-005 Tu, Th 2:00pm-3:15pm SAGHA 202
MATH 107-006 Tu, Th 3:30pm-4:45pm SAGHA 202
MATH 107-007 Tu, Th 11:00am-12:15pm SHNTZ 247
MATH 107-103 Online
MATH 107-203 Online
MATH 107-403 Online
The main purpose of this course is to help students use algebraic and trigonometric functions to model real-life situations. Particular emphasis will be placed on applications relevant to Architecture and Speech, Language, and Hearing Sciences majors. Course topics will include ratios and proportions, functions and graphs, linear and quadratic functions and equations, trigonometric functions and equations, sinusoidal curve-fitting, exponential and logarithmic functions and equations, all with an emphasis on applications. Examinations are proctored.

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Section Days Time Location
MATH 108-001 Mo, Tu, We, Th 1:00pm-1:50pm ILC 125
MATH 108-002 Mo, Tu, We, Th 5:00pm-5:50pm ILC 125
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.

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Section Days Time Location
MATH 112-001 Th 7:30pm-8:30pm TBA
MATH 112-002 Mo, We, Fr 8:00am-8:50am TBA
MATH 112-003 Th 7:30pm-8:30pm TBA
MATH 112-004 Mo, We, Fr 8:00am-8:50am TBA
MATH 112-005 Th 7:30pm-8:30pm TBA
MATH 112-006 Mo, We, Fr 9:00am-9:50am TBA
MATH 112-007 Th 7:30pm-8:30pm TBA
MATH 112-008 Mo, We, Fr 9:00am-9:50am TBA
MATH 112-009 Th 7:30pm-8:30pm TBA
MATH 112-010 Mo, We, Fr 9:00am-9:50am SSCI 206
MATH 112-011 Th 7:30pm-8:30pm TBA
MATH 112-012 Mo, We, Fr 10:00am-10:50am TBA
MATH 112-013 Th 7:30pm-8:30pm TBA
MATH 112-014 Mo, We, Fr 10:00am-10:50am TBA
MATH 112-015 Th 7:30pm-8:30pm SSCI 206
MATH 112-016 Mo, We, Fr 10:00am-10:50am TBA
MATH 112-017 Th 7:30pm-8:30pm TBA
MATH 112-018 Mo, We, Fr 11:00am-11:50am TBA
MATH 112-019 Th 7:30pm-8:30pm TBA
MATH 112-020 Mo, We, Fr 11:00am-11:50am TBA
MATH 112-022 Th 7:30pm-8:30pm TBA
MATH 112-023 Mo, We, Fr 12:00pm-12:50pm TBA
MATH 112-024 Th 7:30pm-8:30pm EDUC 353
MATH 112-025 Mo, We, Fr 12:00pm-12:50pm TBA
MATH 112-027 Th 7:30pm-8:30pm SAGHA 202
MATH 112-028 Mo, We, Fr 12:00pm-12:50pm TBA
MATH 112-029 Th 7:30pm-8:30pm TBA
MATH 112-030 Mo, We, Fr 1:00pm-1:50pm TBA
MATH 112-031 Th 7:30pm-8:30pm TBA
MATH 112-032 Mo, We, Fr 1:00pm-1:50pm TBA
MATH 112-033 Th 7:30pm-8:30pm TBA
MATH 112-034 Mo, We, Fr 2:00pm-2:50pm TBA
MATH 112-101 Mo, We, Fr 2:00pm-2:50pm Online
MATH 112-101 Th 7:30pm-8:30pm Online
MATH 112-102 Mo, We, Fr 2:00pm-2:50pm Online
MATH 112-102 Th 7:30pm-8:30pm Online
MATH 112-103 Mo, We, Fr 2:00pm-2:50pm Online
MATH 112-103 Th 7:30pm-8:30pm Online
MATH 112-201 Mo, We, Fr 3:00pm-3:50pm Online
MATH 112-201 Th 7:30pm-8:30pm Online
MATH 112-202 Mo, We, Fr 3:00pm-3:50pm Online
MATH 112-202 Th 7:30pm-8:30pm Online
MATH 112-203 Mo, We, Fr 3:00pm-3:50pm Online
MATH 112-203 Th 7:30pm-8:30pm Online
MATH 112-401 Mo, We, Fr 3:00pm-3:50pm Online
MATH 112-401 Th 7:30pm-8:30pm Online
MATH 112-402 Mo, We, Fr 3:00pm-3:50pm Online
MATH 112-402 Th 7:30pm-8:30pm Online
MATH 112-403 Mo, We, Fr 3:00pm-3:50pm Online
MATH 112-403 Th 7:30pm-8:30pm Online
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.

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Section Days Time Location
MATH 113-001 Tu, Th 12:30pm-1:45pm CESL 102
MATH 113-103 Online
MATH 113-203 Online
MATH 113-403 Online
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.

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Section Days Time Location
MATH 116-001 Mo, We, Fr 9:00am-9:50am SHNTZ 242E
MATH 116-002 Mo, We, Fr 9:00am-9:50am BIOW 219
MATH 116-003 Mo, We, Fr 10:00am-10:50am HARV 411
MATH 116-004 Mo, We, Fr 10:00am-10:50am BIOW 219
MATH 116-005 Mo, We, Fr 12:00pm-12:50pm BIOW 219
MATH 116-006 Mo, We, Fr 1:00pm-1:50pm PSYCH 305
MATH 116-007 Mo, We, Fr 2:00pm-2:50pm PSYCH 305
MATH 116-009 Tu, Th 8:00am-9:15am PSYCH 305
MATH 116-010 Tu, Th 9:30am-10:45am PSYCH 305
MATH 116-011 Tu, Th 12:30pm-1:45pm NA -
MATH 116-012 Tu, Th 12:30pm-1:45pm BIOW 219
MATH 116-013 Tu, Th 2:00pm-3:15pm BIOW 219
MATH 116-015 Mo, We, Fr 12:00pm-12:50pm PSYCH 305
MATH 116-017 Mo, We, Fr 8:00am-8:50am PSYCH 206
MATH 116-018 Mo, We 4:00pm-5:15pm PSYCH 305
MATH 116-019 Mo, We, Fr 9:00am-9:50am PSYCH 206
MATH 116-020 Mo, We, Fr 3:00pm-3:50pm PSYCH 305
MATH 116-021 Mo, We, Fr 9:00am-9:50am CHVEZ 303
MATH 116-022 Mo, We, Fr 10:00am-10:50am MLNG 413
MATH 116-023 Mo, We, Fr 11:00am-11:50am BIOW 219
MATH 116-101 Online
MATH 116-201 Online
MATH 116-401 Online
A course using real examples developing and studying models of biological dynamical systems using concepts from calculus. Students taking this course will learn how to interpret and develop calculus-based models of biological systems that describe how quantities change in realistic and relevant settings drawn from physiology, neuroscience, ecology and evolution. They will also learn the rudiments of a programing language sufficient to graph functions, plot data and simulate systems of differential equations. This course is intended for students in the biological sciences or those interested in pursuing a career in medicine and does not require any prior knowledge of calculus or of programming.

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Section Days Time Location
MATH 119A-001 Tu, Th 11:00am-12:15pm GITT 201
MATH 119A-001A Fr 10:00am-10:50am ECE 107
MATH 119A-001B Fr 11:00am-11:50am ECE 107
MATH 119A-001C Fr 12:00pm-12:50pm ECE 107
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.

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Section Days Time Location
MATH 120R-001 Mo, Tu, We, Th, Fr 8:00am-8:50am MATH 401
MATH 120R-002 Mo, Tu, We, Th, Fr 8:00am-8:50am MLNG 310
MATH 120R-003 Mo, Tu, We, Th, Fr 9:00am-9:50am MATH 401
MATH 120R-004 Mo, Tu, We, Th, Fr 9:00am-9:50am MLNG 310
MATH 120R-005 Mo, Tu, We, Th, Fr 10:00am-10:50am MATH 401
MATH 120R-006 Mo, Tu, We, Th, Fr 10:00am-10:50am MLNG 310
MATH 120R-007 Mo, Tu, We, Th, Fr 11:00am-11:50am MATH 401
MATH 120R-008 Mo, Tu, We, Th, Fr 11:00am-11:50am MLNG 310
MATH 120R-009 Mo, Tu, We, Th, Fr 12:00pm-12:50pm MATH 401
MATH 120R-010 Mo, Tu, We, Th, Fr 1:00pm-1:50pm MATH 401
MATH 120R-011 Mo, Tu, We, Th, Fr 1:00pm-1:50pm PSYCH 307
MATH 120R-012 Mo, Tu, We, Th, Fr 2:00pm-2:50pm MATH 401
MATH 120R-013 Mo, Tu, We, Th, Fr 2:00pm-2:50pm PSYCH 307
MATH 120R-014 Mo, Tu, We, Th, Fr 3:00pm-3:50pm MATH 401
MATH 120R-016 Mo, Tu, We, Th 4:00pm-5:05pm MATH 401
MATH 120R-017 Mo, Tu, We, Th 4:00pm-5:05pm PSYCH 204
MATH 120R-019 Mo, Tu, We, Th 5:15pm-6:20pm PSYCH 204
MATH 120R-102 Online
MATH 120R-103 Online
MATH 120R-202 Online
MATH 120R-203 Online
MATH 120R-402 Online
MATH 120R-403 Online
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.

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Section Days Time Location
MATH 122A-101 Online
MATH 122A-201 Online
MATH 122A-401 Online
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.

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Section Days Time Location
MATH 122B-001 Mo, Tu, We, Th, Fr 8:00am-8:50am PSYCH 205
MATH 122B-003 Mo, Tu, We, Th, Fr 9:00am-9:50am PSYCH 205
MATH 122B-004 Mo, Tu, We, Th, Fr 9:00am-9:50am EDUC 318
MATH 122B-005 Mo, Tu, We, Th, Fr 12:00pm-12:50pm EDUC 318
MATH 122B-006 Mo, Tu, We, Th, Fr 2:00pm-2:50pm EDUC 318
MATH 122B-007 Mo, Tu, We, Th, Fr 11:00am-11:50am MLNG 402
MATH 122B-008 Mo, Tu, We, Th, Fr 11:00am-11:50am EDUC 318
MATH 122B-009 Mo, Tu, We, Th, Fr 12:00pm-12:50pm PSYCH 307
MATH 122B-011 Mo, Tu, We, Th, Fr 1:00pm-1:50pm EDUC 318
MATH 122B-012 Mo, Tu, We, Th, Fr 2:00pm-2:50pm MATH 401
MATH 122B-013 Mo, Tu, We, Th, Fr 2:00pm-2:50pm PSYCH 205
MATH 122B-015 Mo, Tu, We, Th, Fr 3:00pm-3:50pm PSYCH 205
MATH 122B-016 Mo, Tu, We, Th, Fr 2:00pm-2:50pm PSYCH 204
MATH 122B-102 Online
MATH 122B-202 Online
MATH 122B-402 Online
An accelerated version of MATH 122B. Introduction to calculus with an emphasis on understanding and problem solving. Concepts are presented graphically and numerically as well as algebraically. Elementary functions, their properties and uses in modeling; the key concepts of derivative and definite integral; techniques of differentiation, using the derivative to understand the behavior of functions; applications to optimization problems in physics, biology and economics. 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.

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Section Days Time Location
MATH 125-103 Online
MATH 125-203 Online
MATH 125-403 Online
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.

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Section Days Time Location
MATH 129-001 Mo, We, Fr 12:00pm-12:50pm BIOW 301
MATH 129-002 Mo, We, Fr 9:00am-9:50am SHNTZ 247
MATH 129-003 Mo, We, Fr 8:00am-8:50am BIOW 237
MATH 129-004 Mo, We, Fr 8:00am-8:50am BIOW 219
MATH 129-005 Mo, We, Fr 9:00am-9:50am EDUC 310
MATH 129-006 Mo, We, Fr 10:00am-10:50am EDUC 310
MATH 129-007H Mo, We, Fr 10:00am-10:50am COMM 113
MATH 129-008 Mo, We, Fr 11:00am-11:50am COMM 113
MATH 129-009 Mo, We, Fr 1:00pm-1:50pm COMM 113
MATH 129-010 Mo, We, Fr 1:00pm-1:50pm MLNG 402
MATH 129-011 Mo, We, Fr 2:00pm-2:50pm MLNG 402
MATH 129-012 Mo, We, Fr 2:00pm-2:50pm COMM 113
MATH 129-014 Tu, Th 3:30pm-4:45pm MLNG 402
MATH 129-015 Tu, Th 9:30am-10:45am COMM 113
MATH 129-018 Tu, Th 12:30pm-1:45pm COMM 113
MATH 129-019 Tu, Th 2:00pm-3:15pm MLNG 402
MATH 129-103 Online
MATH 129-203 Online
MATH 129-403 Online
Organizing data: displaying distributions, measures of center, measures of spread, scatterplots, correlation, regression, and their interpretation. Design of experiments: simple random samples and their sampling distribution, models from probability, normal distributions, and normal approximations. Statistical inference: confidence intervals and hypothesis testing, t procedures and chi-square tests. Not intended for those who plan further studies in statistics. 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.

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Section Days Time Location
MATH 163-001 Tu, Th 8:00am-9:15am CHVEZ 104
MATH 163-002 Tu, Th 9:30am-10:45am CHVEZ 104
MATH 163-003 Tu, Th 12:30pm-1:45pm HARV 101
MATH 163-004 Tu, Th 12:30pm-1:45pm CHVEZ 316
MATH 163-005 Tu, Th 9:30am-10:45am BIOW 237
MATH 163-006 Tu, Th 2:00pm-3:15pm HARV 404
MATH 186J: College Algebra Supplemental Instruction Seminar
This course is designed as a complement to MATH 112. Students enrolled in the course will participate in a weekly problem session pertaining to material covered in MATH 112. Concurrent registration in MATH 112 is required.

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Section Days Time Location
MATH 186J-001 Tu 3:30pm-5:00pm HARV 404
MATH 196A: Tutoring in the Schools
This course is designed to introduce the mathematics teaching profession to mathematically talented college students. Students are given opportunities to observe and tutor in middle and high school mathematics classrooms. Additionally, class time will be dedicated to developing tutor techniques, examining learning styles, and exploring various methods of instruction. Readings, reflections, discussions, and group work will facilitate student understanding of the teaching and learning of mathematics. Students with a math placement level of calculus or higher will be given preference in the application process

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Section Days Time Location
MATH 196A-001 We 4:00pm-4:50pm PAS 588
MATH 196L: Precalculus Supplemental Instruction Seminar
This course is designed as a complement to MATH 120R. Students enrolled in the course will participate in a weekly problem session pertaining to material covered in MATH 120R. Concurrent registration in MATH 120R is required.

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Section Days Time Location
MATH 196L-001 Mo 4:00pm-5:50pm MTL 124
MATH 196L-002 Th 2:00pm-3:50pm MTL 124
MATH 196M: Calculus I Supplemental Instruction Seminar
This course is designed as a complement to MATH 122B. Students enrolled in the course will participate in a weekly problem session pertaining to material covered in MATH 122B.

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Section Days Time Location
MATH 196M-001 Th 4:00pm-5:50pm MTL 124
MATH 196N: Calculus II Supplemental Instruction Seminar
This course is designed as a complement to MATH 129. Students enrolled in the course will participate in a weekly problem session pertaining to material covered in MATH129. Concurrent registration in MATH 129 is required.

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Section Days Time Location
MATH 196N-001 We 4:00pm-5:50pm MTL 124
MATH 196V: Vector Calculus Supplemental Instruction Seminar
This course is designed as a complement to Math 223. Students enrolled in the course will participate in a weekly problem session pertaining to material covered in Math 223. Concurrent registration in Math 223 is required.

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Section Days Time Location
MATH 196V-001 Mo 5:30pm-7:20pm PSYCH 206
MATH 202: Introduction to Symbolic Logic
Truth-functional logic and quantification theory; deductive techniques and translation into symbolic notation.

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Section Days Time Location
MATH 202-101 Online
MATH 202-201 Online
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.

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Section Days Time Location
MATH 223-001 Mo, Tu, We, Th 8:00am-8:50am PSYCH 204
MATH 223-002 Mo, Tu, We, Th 9:00am-9:50am PSYCH 204
MATH 223-003 Mo, Tu, We, Th 10:00am-10:50am PSYCH 205
MATH 223-004 Mo, Tu, We, Th 10:00am-10:50am PSYCH 204
MATH 223-005 Mo, Tu, We, Th 11:00am-11:50am PSYCH 205
MATH 223-006 Mo, Tu, We, Th 2:00pm-2:50pm EDUC 351
MATH 223-007 Mo, Tu, We, Th 3:00pm-3:50pm PSYCH 204
MATH 223-008 Mo, Tu, We, Th 3:00pm-3:50pm NA -
MATH 223-009 Mo, We, Fr 1:00pm-1:50pm MCPRK 105
MATH 223-103 Online
MATH 223-203 Online
MATH 223-403 Online
MATH 223-503 Online
MATH 243: Discrete Mathematics
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
MATH 243-001 Mo, We, Fr 12:00pm-12:50pm SAGHA 114
MATH 243-002 Mo, We, Fr 1:00pm-1:50pm MLNG 410
MATH 243-103 Online
MATH 243-203 Online
MATH 243-403 Online
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.

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Section Days Time Location
MATH 254-001 Tu, Th 2:00pm-3:15pm PAS 201
MATH 254-001A We 8:00am-8:50am PSYCH 305
MATH 254-001B We 8:00am-8:50am PSYCH 207
MATH 254-001C We 9:00am-9:50am COMM 206
MATH 254-001F We 11:00am-11:50am AME S324
MATH 254-001G We 12:00pm-12:50pm EDUC 351
MATH 254-001H We 1:00pm-1:50pm MLNG 401
MATH 254-001I We 2:00pm-2:50pm HARV 428
MATH 254-001J We 3:00pm-3:50pm CHVEZ 304
MATH 254-001K We 4:00pm-4:50pm PSYCH 205
MATH 254-002H Tu, Th 9:30am-10:45am COMM 206
MATH 254-003H Tu, Th 12:30pm-1:45pm CHVEZ 104
MATH 254-103 Online
MATH 254-203 Online
MATH 254-403 Online
MATH 254-503 Online
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.

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Section Days Time Location
MATH 263-001 Tu, Th 9:30am-10:45am EDUC 211
MATH 263-001A Fr 8:00am-8:50am COMM 311
MATH 263-001B Fr 9:00am-9:50am COMM 311
MATH 263-001C Fr 11:00am-11:50am COMM 311
MATH 263-001D Fr 1:00pm-1:50pm ECE 107
MATH 263-001E Fr 1:00pm-1:50pm MLNG 401
MATH 263-001F Fr 3:00pm-3:50pm MLNG 401
MATH 263-003HH Mo, We, Fr 8:00am-8:50am ILC 141
MATH 263-103 Online
MATH 263-203 Online
MATH 263-403 Online
MATH 294A: Problem-Solving Laboratory
With the annual Putnam mathematical competition as motivation, students engage weekly with challenging mathematics problems that require creativity, innovative thinking, and new insights to solve. This problem-solving lab thereby aims to help students synthesize and apply the theory, concepts, and techniques gained throughout their mathematics education in novel ways that lie outside the usual curricula of the major.

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Section Days Time Location
MATH 294A-001 We 4:00pm-4:50pm SHNTZ 247
MATH 302A: Understanding Elementary Mathematics (A)
Development of a basis for understanding the common processes in elementary mathematics related to whole numbers, fractions, integers, and probability. This course is for elementary education majors only. Examinations are proctored.

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Section Days Time Location
MATH 302A-001 Mo, We 2:00pm-3:15pm MTL 120
MATH 302A-002 Mo, We, Fr 11:00am-11:50am MTL 120
MATH 302A-003 Tu, Th 9:30am-10:45am MTL 120
MATH 302B: Understanding Elementary Mathematics (B)
Development of a basis for understanding the common processes in elementary mathematics related to estimation, graphing of functions, measurement, geometry, and data analysis. This course is for elementary education majors only. Examinations are proctored.

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Section Days Time Location
MATH 302B-001 Mo, We 12:30pm-1:45pm MTL 120
MATH 302B-002 Tu, Th 11:00am-12:15pm MTL 120
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.

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Section Days Time Location
MATH 313-001 Tu, Th 8:00am-9:15am BIOW 237
MATH 313-002 Mo, We, Fr 10:00am-10:50am MLNG 410
MATH 313-003 Mo, We, Fr 10:00am-10:50am NA -
MATH 313-004 Tu, Th 12:30pm-1:45pm MLNG 401
MATH 313-005 Mo, We, Fr 1:00pm-1:50pm MLNG 411
MATH 313-006 Mo, We, Fr 12:00pm-12:50pm MLNG 402
MATH 313-007 Tu, Th 3:30pm-4:45pm BIOW 237
MATH 313-103 Online
MATH 313-203 Online
MATH 313-403 Online
MATH 313-503 Online
MATH 315: Introduction to Number Theory and Modern Algebra
Divisibility properties of integers, primes, congruencies, quadratic residues, number-theoretic functions.

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Section Days Time Location
MATH 315-001 Tu, Th 9:30am-10:45am HARV 428
MATH 322: Mathematical Analysis for Engineers
This course prepares students for working with linear systems that arise in engineering applications. Emphasis is placed on general principles of linearity and orthogonality. Topics include complex numbers and functions, matrix and vector algebra, linear systems of ODEs, Fourier series and transforms, separable partial differential equations.

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Section Days Time Location
MATH 322-001 Mo, We, Fr 9:00am-9:50am HARV 411
MATH 322-002 Mo, We, Fr 10:00am-10:50am EDUC 318
MATH 322-003 Tu, Th 11:00am-12:15pm PAS 224
MATH 323: Formal Mathematical Reasoning and Writing
Elementary real analysis as an introduction to abstract mathematics and the use of mathematical language. Elementary logic and quantifiers; manipulations with sets, relations and functions, including images and pre-images; properties of the real numbers; supreme and infimum; other topics selected from cardinality, the topology of the real line, sequence and limits of sequences and functions; the emphasis throughout is on proving theorems.

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Section Days Time Location
MATH 323-001 Mo, We, Fr 10:00am-10:50am EDUC 331
MATH 323-002 Mo, We, Fr 1:00pm-1:50pm BIOW 210
MATH 323-003H Mo, We, Fr 9:00am-9:50am EDUC 331
MATH 355: Analysis of Ordinary Differential Equations
Linear and nonlinear equations; basic solution techniques; qualitative and numerical methods; systems of equations; computer studies; applications drawn from physical, biological and social sciences.

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Section Days Time Location
MATH 355-001 Tu, Th 9:30am-10:45am HARV 210
MATH 355-002 Tu, Th 8:00am-9:15am BIOW 210
DATA 361: Elements of Statistics using Calculus
Focusing on statistical inference, the course has two goals in addition to teaching the statistical techniques. One is theoretical: To explore the links between probability, statistics and calculus, showing students the mathematical underpinnings. The second is applied: Provides experience with real data sets, many bearing on education. Students who complete this course will be prepared to teach high school level statistics courses.

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Section Days Time Location
DATA 361-001 Mo, We, Fr 12:00pm-12:50pm SHNTZ 247
MATH 361: Elements of Statistics using Calculus
Focusing on statistical inference, the course has two goals in addition to teaching the statistical techniques. One is theoretical: To explore the links between probability, statistics and calculus, showing students the mathematical underpinnings. The second is applied: Provides experience with real data sets, many bearing on education. Students who complete this course will be prepared to teach high school level statistics courses.

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Section Days Time Location
MATH 361-001 Mo, We, Fr 12:00pm-12:50pm SHNTZ 247
DATA 363: Introduction to Statistical Methods
An applications-oriented calculus-based statistics course with an introduction to statistical software. Course topics: Organizing data numerically and visually. Axioms of probability, conditional probability and independence. Random variables and expectation with emphasis on parametric families. Law of large numbers and central limit theorem. Estimation, bias and variance, confidence intervals. Hypothesis testing, significance and power. Likelihood ratio tests such as proportion tests, t-tests, chi-square tests, and analysis of variance.

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Section Days Time Location
DATA 363-001 Tu, Th 9:30am-10:45am SAGHA 101
DATA 363-002 Tu, Th 2:00pm-3:15pm SAGHA 101
DATA 363-103 Online
DATA 363-203 Online
DATA 363-501 Mo 8:00am-9:35am 999 1
MATH 363: Introduction to Statistical Methods
An applications-oriented calculus-based statistics course with an introduction to statistical software. Course topics: Organizing data numerically and visually. Axioms of probability, conditional probability and independence. Random variables and expectation with emphasis on parametric families. Law of large numbers and central limit theorem. Estimation, bias and variance, confidence intervals. Hypothesis testing, significance and power. Likelihood ratio tests such as proportion tests, t-tests, chi-square tests, and analysis of variance.

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Section Days Time Location
MATH 363-001 Tu, Th 9:30am-10:45am SAGHA 101
MATH 363-002 Tu, Th 2:00pm-3:15pm SAGHA 101
MATH 363-103 Online
MATH 363-203 Online
MATH 363-501 Mo 8:00am-9:35am 999 1
DATA 367: Statistical Methods in Sports Analytics
This course will introduce statistical methods and training in statistical consulting aimed to analyze sports by using observational data on players and teams. With an emphasis on statistical inference and modeling, the students will learn how to analyze a sports related problem, utilize statistical tools to find a solution and interpret those results to sports professionals. The course will also offer the opportunity to focus on a semester long sports analytics project in partnership with a University of Arizona athletics team.

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Section Days Time Location
DATA 367-001 Mo, We 3:00pm-4:15pm PSYCH 207
DATA 375: Introduction to Statistical Computing
Basic computing skills including random variable generation, Monte Carlo integration, visualization, optimization techniques, re-sampling methods, Bayesian approaches, and introduction to statistical computing environments (R and Python). Material will provide hands-on experience with real world problems. It is expected that students have prior experience in a programming language, preferably Python.

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Section Days Time Location
DATA 375-001 Tu, Th 8:00am-9:15am BIOW 208
MATH 391: Preceptorship
Specialized work on an individual basis, consisting of instruction and practice in actual service to a department, program, or discipline.

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Section Days Time Location
MATH 391-001 Online
MATH 391-002 Fr 10:00am-10:50am SU 364
MATH 391-003 Fr 11:00am-11:50am SU 364
MATH 391-004 Fr 12:00pm-12:50pm SU 364
MATH 391-005 Fr 1:00pm-1:50pm SU 364
MATH 391-006 TBA TBA
MATH 391-007 TBA TBA
MATH 391-008 TBA TBA
MATH 391-203 Online
MATH 391-403 Online
MATH 396L: Wildcat Proofs Workshop
This course is designed as a complement to Math 323. Students enrolled in the course will participate in a weekly problem session pertaining to material covered in Math 323. The primary purpose of this course is to give students many opportunities to share their mathematical conjectures and their justifications to classmates. During class meetings students will debate the validity of mathematical statements and formal proofs. Concurrent registration in Math 323 is required.

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Section Days Time Location
MATH 396L-001 We 3:00pm-4:50pm HARV 301
MATH 406A: Curriculum & Assessment in Secondary School Mathematics
Examination of secondary school mathematics curricula with emphasis on the development of math topics; study of assessment with emphasis on its alignment with instruction; and practicum experiences with emphasis on curriculum analysis and implementation of assessment measures.

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Section Days Time Location
MATH 406A-001 Tu, Th 2:00pm-3:15pm MTL 120
DATA 412: Linear Algebra for Data Science (for online campus students ONLY)
This course will cover some of the more advanced topics in Linear Algebra beyond what is covered in traditional undergraduate courses. The focus will be on exploring theory which is used in real Data Science applications, including matrix factorization, low-rank matrix approximations, kernel methods, graph theory, and optimization. Some special modern topics will be covered such as Compressed Sensing, Data Clustering, and Frame Theory. The theory will be complemented with illustrative applications.

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Section Days Time Location
DATA 412-501 We 8:00am-9:35am 999 1
MATH 412: Linear Algebra for Data Science (for online campus students ONLY)
This course will cover some of the more advanced topics in Linear Algebra beyond what is covered in traditional undergraduate courses. The focus will be on exploring theory which is used in real Data Science applications, including matrix factorization, low-rank matrix approximations, kernel methods, graph theory, and optimization. Some special modern topics will be covered such as Compressed Sensing, Data Clustering, and Frame Theory. The theory will be complemented with illustrative applications.

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Section Days Time Location
MATH 412-501 We 8:00am-9:35am 999 1
MATH 413: Linear Algebra
Vector spaces, linear transformations and matrices, determinants, eigenvalues and diagonalization, bilinear forms, orthogonal and unitary transformations, Jordan canonical form.

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Section Days Time Location
MATH 413-001 Mo, We, Fr 1:00pm-1:50pm BIOW 237
MATH 415B: Second Course in Abstract Algebra
A continuation of MATH 415A/515A. Topics may include finite groups, matrix groups, Galois theory, linear and multilinear algebra, finite fields and coding theory.

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Section Days Time Location
MATH 415B-001 Mo, We, Fr 11:00am-11:50am ENGR 307
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.

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Section Days Time Location
MATH 422-001 Tu, Th 12:30pm-1:45pm CHVEZ 303
MATH 424: Theory of Complex Variables
Complex numbers, analytic functions, harmonic functions, elementary functions, complex integration, Cauchy's integral theorem, series representations for analytic functions,residue theory, conformal mapping, applications.

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Section Days Time Location
MATH 424-001 Tu, Th 2:00pm-3:15pm PAS 314
MATH 425B: Real Analysis of Several Variables
Continuity and differentiation in higher dimensions, curves and surfaces; change of coordinates; theorems of Green, Gauss and Stokes; inverse and implicit function theorems.

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Section Days Time Location
MATH 425B-001 Mo, We, Fr 10:00am-10:50am BIOW 237
MATH 432: Topological Spaces
Set theory (countability/uncountability), topological spaces and continuous maps, metric spaces, connectedness and compactness, separability axioms and Hausdorff spaces, Tychonoff product theorem, introductory topics from algebraic topology (homotopy, fundamental group) or category theory.

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Section Days Time Location
MATH 432-001 Mo, We, Fr 9:00am-9:50am PSYCH 207
MATH 447: Combinatorial Mathematics
[Taught Spring semester in odd-numbered years]. Enumeration and construction of arrangements and designs; generating functions; principle of inclusion-exclusion; recurrence relations; a variety of applications.

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Section Days Time Location
MATH 447-001 Mo, We, Fr 12:00pm-12:50pm EDUC 240
MATH 454: Ordinary Differential Equations and Stability Theory
General theory of initial value problems, linear systems and phase portraits, linearization of nonlinear systems, stability and bifurcation theory, an introduction to chaotic dynamics.

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Section Days Time Location
MATH 454-001 Mo, We, Fr 2:00pm-2:50pm PSYCH 306
MATH 456: Applied Partial Differential Equations
Properties of partial differential equations and techniques for their solution: Fourier methods, Green's functions, numerical methods.

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Section Days Time Location
MATH 456-001 Mo, We, Fr 11:00am-11:50am BIOW 237
MATH 456-002 Mo, We, Fr 1:00pm-1:50pm NA -
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.

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Section Days Time Location
DATA 462-001 Mo, We, Fr 9:00am-9:50am PSYCH 305
DATA 462-501 Mo 9:55am-11:30am 999 1
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.

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Section Days Time Location
MATH 462-001 Mo, We, Fr 9:00am-9:50am PSYCH 305
MATH 462-501 Mo 9:55am-11:30am 999 1
MATH 464: Theory of Probability
Probability spaces, random variables, weak law of large numbers, central limit theorem, various discrete and continuous probability distributions.

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Section Days Time Location
MATH 464-001 Tu, Th 9:30am-10:45am HARV 411
MATH 464-002 Mo, We, Fr 9:00am-9:50am ECE 102
MATH 466: Theory of Statistics
Sampling theory. Point estimation. Limiting distributions. Testing Hypotheses. Confidence intervals. Large sample methods.

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Section Days Time Location
MATH 466-001 Tu, Th 9:30am-10:45am NA -
MATH 466-002 Tu, Th 2:00pm-3:15pm HARV 130
MATH 466-003 Tu, Th 12:30pm-1:45pm ECE 102
DATA 467: Introduction to Applied Regression and Generalized Linear Models
An applied course in linear regression, analysis of variance, and generalized linear models for students who have completed a course in basic statistical methods. Emphasis is on practical methods of data analysis and their interpretation, using statistical software such as R. Course content includes model building; linear regression; regression and residual diagnostics; basic experimental designs such as one-factor and two-factor ANOVA; block designs and random-effects models; introduction to exponential families and generalized linear models, including logistic and Poisson regression. Some emphasis will be devoted to matrix representations and efficient computational techniques.

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Section Days Time Location
DATA 467-103 Online
DATA 468: Applied Stochastic Processes
Applications of Gaussian and Markov processes and renewal theory; Wiener and Poisson processes, queues.

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Section Days Time Location
DATA 468-001 Tu, Th 2:00pm-3:15pm BIOW 237
MATH 468: Applied Stochastic Processes
Applications of Gaussian and Markov processes and renewal theory; Wiener and Poisson processes, queues.

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Section Days Time Location
MATH 468-001 Tu, Th 2:00pm-3:15pm BIOW 237
MATH 485: Mathematical Modeling
Development, analysis, and evaluation of mathematical models for physical, biological, social, and technical problems; both analytical and numerical solution techniques are required.

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Section Days Time Location
MATH 485-001 Tu, Th 2:00pm-3:15pm NA -
MATH 485-103 Online
MATH 485-203 Online
MATH 485-403 Online
MATH 491: Preceptorship
Specialized work on an individual basis, consisting of instruction and practice in actual service to a department, program, or discipline.

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Section Days Time Location
MATH 491-001 Tu 5:30pm-6:30pm MATH 501
DATA 492: Directed Research
Individual research under the guidance of faculty.

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Section Days Time Location
DATA 492-001 TBA TBA
MATH 496T: Advanced Topics in Undergraduate Mathematics
Advanced topics from modern mathematics. Content varies. The primary purpose of the course is to provide students the opportunity to gain knowledge, experience, and exposure to advanced topics in modern mathematics beyond what is presented in the core subjects for the math major.

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Section Days Time Location
MATH 496T-001 Mo, We, Fr 2:00pm-2:50pm HARV 411
DATA 498A: Capstone for Statistics and Data Science
A capstone experience that exposes students to the development, analysis, evaluation, and communication of statistical and data-scientific analyses for physical, biological, social, and other data-analytic problems.

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Section Days Time Location
DATA 498A-001 Tu, Th 11:00am-12:15pm SAGHA 101
DATA 498H: Honors Thesis
An honors thesis is required of all the students graduating with honors. Students ordinarily sign up for this course as a two-semester sequence. The first semester the student performs research under the supervision of a faculty member; the second semester the student writes an honors thesis.

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Section Days Time Location
DATA 498H-002H TBA TBA
MATH 499: Independent Study
Qualified students working on an individual basis with professors who have agreed to supervise such work.

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Section Days Time Location
MATH 499-006 TBA TBA