The University of Arizona

Courses - Spring 2020

Below is the course information for January 15, 2020 through May 14, 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.

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Section Days Time Location Instructor
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 Roon, Eric
MATH 100-004 Mo 9:30am-10:45am Online
MATH 100-005 Mo 11:00am-12:15pm Online Lewis, Daniel
MATH 100-006 Mo 11:00am-12:15pm Online
MATH 100-007 Mo 11:00am-12:15pm Online Hatton, Conner
MATH 100-008 Mo 11:00am-12:15pm Online
MATH 100-009 Mo 12:30pm-1:45pm Online Perkins-Ollila, Justin
MATH 100-010 Mo 12:30pm-1:45pm Online
MATH 100-011 Mo 12:30pm-1:45pm Online Lewis, Daniel
MATH 100-012 Mo 12:30pm-1:45pm Online
MATH 100-013 Mo 2:00pm-3:15pm Online Hatton, Conner
MATH 100-014 Mo 2:00pm-3:15pm Online
MATH 100-015 Mo 2:00pm-3:15pm Online
MATH 100-016 Mo 2:00pm-3:15pm Online
MATH 100-017 Tu 9:30am-10:45am Online Kinney, Adrienne
MATH 100-018 Tu 9:30am-10:45am Online
MATH 100-019 Tu 9:30am-10:45am Online
MATH 100-020 Tu 9:30am-10:45am Online
MATH 100-021 Tu 11:00am-12:15pm Online Hatton, Conner
MATH 100-022 Tu 11:00am-12:15pm Online
MATH 100-023 Tu 11:00am-12:15pm Online
MATH 100-024 Tu 11:00am-12:15pm Online
MATH 100-025 Tu 12:30pm-1:45pm Online Perkins-Ollila, Justin
MATH 100-026 Tu 12:30pm-1:45pm Online
MATH 100-027 Tu 12:30pm-1:45pm Online
MATH 100-028 Tu 12:30pm-1:45pm Online
MATH 100-029 Tu 2:00pm-3:15pm Online Lewis, Daniel
MATH 100-030 Tu 2:00pm-3:15pm Online
MATH 100-031 Tu 2:00pm-3:15pm Online Hatton, Conner
MATH 100-032 Tu 2:00pm-3:15pm Online
MATH 100-101 Online
MATH 100-201 Online
MATH 100-202 Online
MATH 105: Mathematics in Modern Society
This course will examine how the mathematics learned in high school is applied to real life situations. Topics may include personal finance, statistics, elections, symmetry, and scheduling. Some of the applications may be how the site of the Olympic Games is chosen, why spirals occur in nature, and how statistical data is collected and how it can be used to mislead the public. The course is designed for elementary education majors, fine arts majors, humanities majors, and those social and behavioral science majors whose further courses do not require College Algebra as a prerequisite. 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 Instructor
MATH 105-001 Mo, We, Fr 11:00am-11:50am ILC 150 Wood, Debra L
MATH 106: Exploring and Understanding Patterns, Functions, and Modeling for Elementary Teachers
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 Instructor
MATH 106-001 Tu, Th 8:00am-9:15am ILC 125 Sipes, Janet
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.

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Section Days Time Location Instructor
MATH 107-001 Tu, Th 8:00am-9:15am HARV 305 Hoffman, Sarah
MATH 107-002 Tu, Th 8:00am-9:15am SAGHA 101 Kim, Heonmi
MATH 107-003 Tu, Th 11:00am-12:15pm GITT 201 Aktepe,
MATH 107-004 Tu, Th 12:30pm-1:45pm GITT 201 Luca, Sarah
MATH 107-005 Tu, Th 2:00pm-3:15pm GITT 201 McDonald, DeAnna
MATH 107-006 Tu, Th 3:30pm-4:45pm SAGHA 202 Wilson, Mitchell James
MATH 107-102 Online Hoffman, Sarah
MATH 107-201 Online
MATH 107-202 Online Hoffman, Sarah
MATH 108: Modeling with Algebraic and Trigonometric Functions
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 Instructor
MATH 108-001 Mo, Tu, We, Th 8:00am-8:50am ENGR 304 Laird, Taryn
MATH 108-002 Mo, Tu, We, Th 1:00pm-1:50pm ENGR 304 Deeny, Sheldon
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.

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Section Days Time Location Instructor
MATH 112-001 Mo, We, Fr 8:00am-8:50am ILC 119 Person-Renell, Chris
MATH 112-002 Mo, We, Fr 8:00am-8:50am MCPRK 101 Albornoz-Basto, Armando
MATH 112-003 Mo, We, Fr 8:00am-8:50am ILC 125 Deboer, Wieke Digna
MATH 112-004 Mo, We, Fr 9:00am-9:50am ILC 119 Person-Renell, Chris
MATH 112-005 Mo, We, Fr 9:00am-9:50am S SCI 222 Zhang, Zhixuan
MATH 112-006 Mo, We, Fr 10:00am-10:50am ILC 119 Bailey, Brenae
MATH 112-007 Mo, We, Fr 10:00am-10:50am HARV 404 Yslas, Catherine
MATH 112-008 Mo, We, Fr 10:00am-10:50am S SCI 222 Person-Renell, Chris
MATH 112-009 Mo, We, Fr 11:00am-11:50am ILC 119 Guzman, Anthony
MATH 112-010 Mo, We, Fr 11:00am-11:50am S SCI 222 Yslas, Catherine
MATH 112-011 Mo, We, Fr 9:00am-9:50am S SCI 206 Fries, Bill
MATH 112-012 Mo, We, Fr 12:00pm-12:50pm ILC 125 Dahlke, Caleb
MATH 112-013 Mo, We, Fr 12:00pm-12:50pm ILC 119 Lugosi, Elizabeth
MATH 112-014 Mo, We, Fr 1:00pm-1:50pm ILC 125 Stone, Megan McCormick Stone
MATH 112-015 Mo, We, Fr 1:00pm-1:50pm ILC 119 Bennett, Duncan
MATH 112-016 Mo, We, Fr 2:00pm-2:50pm ILC 125 Andrews, Sarah
MATH 112-017 Mo, We, Fr 2:00pm-2:50pm ILC 119 Yslas, Catherine
MATH 112-018 Mo, We, Fr 3:00pm-3:50pm S SCI 206 Hand, Leaha
MATH 112-019 Mo, We, Fr 3:00pm-3:50pm ILC 125 Andrews, Sarah
MATH 112-020 Mo, We, Fr 3:00pm-3:50pm ILC 119 Dirdak, Abigayle
MATH 112-022 Mo, We 4:00pm-5:15pm ILC 119 Roon, Eric
MATH 112-023 Mo, We, Fr 1:00pm-1:50pm SAGHA 202 Korpal, Gaurish
MATH 112-024 Mo, We, Fr 2:00pm-2:50pm SAGHA 202 Albornoz-Basto, Armando
MATH 112-102 Online Kaushish, Madhav
MATH 112-201 Online Rossetti, Michael
MATH 112-202 Online Kaushish, Madhav
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.

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Section Days Time Location Instructor
MATH 113-001 Tu, Th 8:00am-9:15am CESL 103 Macmillan, Bruce
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.

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Section Days Time Location Instructor
MATH 116-001 Mo, We, Fr 9:00am-9:50am PSYCH 306 Lugosi, Elizabeth
MATH 116-002 Mo, We, Fr 9:00am-9:50am CHVEZ 104 Reyes, Stephen
MATH 116-003 Mo, We, Fr 10:00am-10:50am HARV 319 Nelson, Spencer
MATH 116-004 Mo, We, Fr 10:00am-10:50am CHVEZ 104 Reyes, Stephen
MATH 116-005 Mo, We, Fr 12:00pm-12:50pm PSYCH 305 Reyes, Stephen
MATH 116-006 Mo, We, Fr 1:00pm-1:50pm SHNTZ 242E Sipes, Janet
MATH 116-007 Mo, We, Fr 2:00pm-2:50pm PSYCH 306 Lazarus, Tynan
MATH 116-008 Mo, We, Fr 3:00pm-3:50pm PSYCH 306 Savoie, Ben
MATH 116-009 Tu, Th 8:00am-9:15am HARV 319 Varghese, Mariamma G
MATH 116-010 Tu, Th 9:30am-10:45am ECE 107 Hoffman, Sarah
MATH 116-011 Tu, Th 12:30pm-1:45pm HARV 305 Stefanko, Kathryn Stefanko
MATH 116-012 Tu, Th 12:30pm-1:45pm MLNG 210 Varghese, Mariamma G
MATH 116-013 Tu, Th 3:30pm-4:45pm SAGHA 101 Foster, Steven G
MATH 116-014 Tu, Th 3:30pm-4:45pm HARV 332C Priver, Kyle
MATH 116-015 Mo, We, Fr 12:00pm-12:50pm SHNTZ 242E
MATH 116-015 Tu, Th 5:00pm-6:15pm SHNTZ 242E
MATH 116-016 Tu, Th 5:00pm-6:15pm SAGHA 202 Foster, Steven G
MATH 116-017 Mo, We, Fr 8:00am-8:50am PSYCH 306 Lugosi, Elizabeth
MATH 116-018 Mo, We 4:00pm-5:15pm PSYCH 206 Aucoin, Alexa
MATH 116-019 Mo, We 4:00pm-5:15pm BIOW 237 Sipes, Janet
MATH 116-019 Mo, We, Fr 9:00am-9:50am BIOW 237 Sipes, Janet
MATH 116-020 Mo, We, Fr 3:00pm-3:50pm PSYCH 307 Aboud, Quinton
MATH 116-021 Mo, We, Fr 9:00am-9:50am HARV 101 Fonseca, Jose David
MATH 116-022 Mo, We, Fr 10:00am-10:50am HARV 101 Fonseca, Jose David
MATH 116-023 Mo, We, Fr 12:00pm-12:50pm PSYCH 205 Sipes, Janet
MATH 116-101 Online Rubio, Antonio
MATH 116-201 Online Rubio, Antonio
MATH 119A: Mathematics of Biological Systems: a calculus based approach
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 Instructor
MATH 119A-001 Tu, Th 8:00am-9:15am BIOW 301 Phillips, Tristan
MATH 119A-001A Fr 8:00am-8:50am SU 364 Indik, Rob
MATH 119A-001B Fr 9:00am-9:50am SU 364 Phillips, Tristan
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.

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Section Days Time Location Instructor
MATH 120R-001 Mo, Tu, We, Th, Fr 9:00am-9:50am HARV 316 Awalt, John
MATH 120R-002 Mo, Tu, We, Th, Fr 8:00am-8:50am PSYCH 205 Takagi, Janice
MATH 120R-003 Mo, Tu, We, Th, Fr 9:00am-9:50am MATH 401 Kao, Samantha
MATH 120R-004 Mo, Tu, We, Th, Fr 9:00am-9:50am HARV 313 Reeder, Eun
MATH 120R-005 Mo, Tu, We, Th, Fr 10:00am-10:50am MATH 401 Kao, Samantha
MATH 120R-006 Mo, Tu, We, Th, Fr 12:00pm-12:50pm PSYCH 207 McKinnon, John
MATH 120R-007 Mo, Tu, We, Th, Fr 11:00am-11:50am MATH 401 Andrews, Sarah
MATH 120R-008 Mo, Tu, We, Th, Fr 2:00pm-2:50pm HARV 319 Thomson, Alex
MATH 120R-009 Mo, Tu, We, Th, Fr 12:00pm-12:50pm MATH 401 Ratnayaka, Kerima
MATH 120R-010 Mo, Tu, We, Th, Fr 1:00pm-1:50pm MATH 401 Ratnayaka, Kerima
MATH 120R-011 Mo, Tu, We, Th, Fr 1:00pm-1:50pm HARV 208 Thomson, Alex
MATH 120R-012 Mo, Tu, We, Th, Fr 2:00pm-2:50pm MATH 401 Thrall, Amber
MATH 120R-013 Mo, Tu, We, Th, Fr 2:00pm-2:50pm PSYCH 207 Rysavy, Martin
MATH 120R-014 Mo, Tu, We, Th, Fr 3:00pm-3:50pm MATH 401 Plante, Kenneth
MATH 120R-015 Mo, Tu, We, Th, Fr 3:00pm-3:50pm PSYCH 207 Ledesma, Jorge
MATH 120R-016 Mo, Tu, We, Th 4:00pm-5:05pm HARV 316 Ondracek, Chloe
MATH 120R-017 Mo, Tu, We, Th 4:00pm-5:05pm HARV 313 Taylor, David
MATH 120R-019 Mo, Tu, We, Th 5:15pm-6:20pm MATH 401 Knak, Rachel
MATH 120R-020 Mo, Tu, We, Th, Fr 8:00am-8:50am PSYCH 204 Wei, Bolun
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.

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Section Days Time Location Instructor
MATH 121A-201 Online Person-Renell, Chris
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.

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Section Days Time Location Instructor
MATH 121B-201 Online Person-Renell, Chris
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.

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Section Days Time Location Instructor
MATH 122A-001 Mo, Tu, We, Th, Fr 8:00am-8:50am HARV 316 Kao, Samantha
MATH 122A-002 Mo, Tu, We, Th, Fr 8:00am-8:50am HARV 208 Rossetti, Michael
MATH 122A-003 Mo, Tu, We, Th, Fr 9:00am-9:50am PSYCH 307 Romanowska, Ewa
MATH 122A-004 Mo, Tu, We, Th, Fr 9:00am-9:50am HARV 208 Rossetti, Michael
MATH 122A-005 Mo, Tu, We, Th, Fr 8:00am-8:50am SHNTZ 242E Thomson, Alex
MATH 122A-006 Mo, Tu, We, Th, Fr 12:00pm-12:50pm PSYCH 307 Sandler, Nataliya G
MATH 122A-007 Mo, Tu, We, Th, Fr 11:00am-11:50am PSYCH 307
MATH 122A-008 Mo, Tu, We, Th, Fr 11:00am-11:50am PSYCH 207
MATH 122A-009 Mo, Tu, We, Th, Fr 12:00pm-12:50pm HARV 208 Rubio, Antonio
MATH 122A-010 Mo, Tu, We, Th, Fr 1:00pm-1:50pm HARV 313 Jewell, Chris
MATH 122A-011 Mo, Tu, We, Th, Fr 1:00pm-1:50pm HARV 208 Rubio, Antonio
MATH 122A-012 Mo, Tu, We, Th, Fr 2:00pm-2:50pm CHVEZ 405 Clark, Scott E
MATH 122A-013 Mo, Tu, We, Th, Fr 2:00pm-2:50pm PSYCH 204 McBride, Jared
MATH 122A-014 Mo, Tu, We, Th, Fr 3:00pm-3:50pm PSYCH 204 McBride, Jared
MATH 122A-015 Mo, Tu, We, Th, Fr 3:00pm-3:50pm HARV 208 Peng, Guanying
MATH 122A-016 Mo, Tu, We, Th, Fr 4:00pm-4:50pm NA -
MATH 122A-017 Mo, Tu, We, Th 4:00pm-5:05pm HARV 208 Rios, Jocelyn
MATH 122A-018 Mo, Tu, We, Th 5:15pm-6:20pm PSYCH 206 Rios, Jocelyn
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.

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Section Days Time Location Instructor
MATH 122B-001 Mo, Tu, We, Th, Fr 8:00am-8:50am HARV 316 Stone, Megan McCormick Stone
MATH 122B-002 Mo, Tu, We, Th, Fr 8:00am-8:50am HARV 208 Awalt, John
MATH 122B-003 Mo, Tu, We, Th, Fr 9:00am-9:50am PSYCH 307 Takagi, Janice
MATH 122B-004 Mo, Tu, We, Th, Fr 9:00am-9:50am HARV 208 Stone, Megan McCormick Stone
MATH 122B-005 Mo, Tu, We, Th, Fr 12:00pm-12:50pm PSYCH 307 Lazarus, Tynan
MATH 122B-006 Mo, Tu, We, Th, Fr 2:00pm-2:50pm HARV 428 Friedbaum, Jesse
MATH 122B-007 Mo, Tu, We, Th, Fr 11:00am-11:50am PSYCH 307 Lazarus, Tynan
MATH 122B-008 Mo, Tu, We, Th, Fr 11:00am-11:50am PSYCH 207 Awalt, John
MATH 122B-009 Mo, Tu, We, Th, Fr 12:00pm-12:50pm HARV 208 Takagi, Janice
MATH 122B-010 Mo, Tu, We, Th, Fr 2:00pm-2:50pm CHVEZ 405 Doehrman, Thomas
MATH 122B-011 Mo, Tu, We, Th, Fr 1:00pm-1:50pm HARV 313
MATH 122B-012 Mo, Tu, We, Th, Fr 2:00pm-2:50pm PSYCH 206 Foster, Steven G
MATH 122B-013 Mo, Tu, We, Th, Fr 2:00pm-2:50pm PSYCH 204 Gilbert, Michael James
MATH 122B-014 Mo, Tu, We, Th, Fr 3:00pm-3:50pm PSYCH 204 Gilbert, Michael James
MATH 122B-015 Mo, Tu, We, Th, Fr 3:00pm-3:50pm HARV 208
MATH 122B-016 Mo, Tu, We, Th 4:00pm-5:05pm HARV 208 Elert, Eric
MATH 122B-017 Mo, Tu, We, Th 5:15pm-6:20pm HARV 313 Bollen, Brian
MATH 125: Calculus I
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 Instructor
MATH 125-002 Mo, We, Fr 2:00pm-2:50pm PSYCH 307 Reyes, Stephen
MATH 125-101 Online Rossetti, Michael
MATH 125-201 Online Rossetti, Michael
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.

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Section Days Time Location Instructor
MATH 129-001 Mo, We, Fr 8:00am-8:50am PSYCH 207 Wood, Debra L
MATH 129-002 Mo, We, Fr 9:00am-9:50am MLNG 202 Liu, Weihua
MATH 129-003 Mo, We, Fr 9:00am-9:50am PSYCH 305 Wood, Debra L
MATH 129-004 Mo, We, Fr 10:00am-10:50am PSYCH 305 Liu, Weihua
MATH 129-005 Mo, We, Fr 10:00am-10:50am BIOW 210 Joshi, Kirti N
MATH 129-006 Mo, We, Fr 11:00am-11:50am BIOW 210 Joshi, Kirti N
MATH 129-007H Mo, We, Fr 11:00am-11:50am CHVEZ 400 Romanowska, Ewa
MATH 129-008 Mo, We, Fr 12:00pm-12:50pm BIOW 210 Ekstrom, Aaron T
MATH 129-009 Mo, We, Fr 1:00pm-1:50pm BIOW 210 Wood, Debra L
MATH 129-010 Mo, We, Fr 1:00pm-1:50pm PSYCH 305 Wilson, Mitchell James
MATH 129-011 Mo, We, Fr 2:00pm-2:50pm CHEM 126 Laetsch, Theodore W
MATH 129-012 Mo, We, Fr 2:00pm-2:50pm PSYCH 305 Wilson, Mitchell James
MATH 129-014 Tu, Th 3:30pm-4:45pm PSYCH 305 Agrawal, Utkarsh
MATH 129-015 Tu, Th 9:30am-10:45am HARV 332B Johnson, Greg
MATH 129-016 Tu, Th 9:30am-10:45am PSYCH 305 Hu, Yi
MATH 129-017 Tu, Th 11:00am-12:15pm PSYCH 305 Gilbert, Michael James
MATH 129-018 Tu, Th 12:30pm-1:45pm PSYCH 305 Sethuraman, Sunder
MATH 129-019 Mo, We, Fr 9:00am-9:50am PSYCH 206 Uribe, Guillermo Uribe
MATH 129-020 Tu, Th 2:00pm-3:15pm PSYCH 305 Sethuraman, Sunder
MATH 129-201 Online Rubio, Antonio
MATH 163: Basic Statistics
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 Instructor
MATH 163-001 Tu, Th 8:00am-9:15am BIOW 210 Deboer, Wieke Digna
MATH 163-002 Tu, Th 9:30am-10:45am CHVEZ 316 Deboer, Wieke Digna
MATH 163-003 Tu, Th 3:30pm-4:45pm BIOW 237 Duron, Christina
MATH 163-004 Tu, Th 3:30pm-4:45pm EDUC 240
MATH 163-005 Tu, Th 12:30pm-1:45pm SHNTZ 242E Biegel, Hannah
MATH 163-006 Tu, Th 9:30am-10:45am EDUC 308 True, Chris
DATA 195M: Math and SDS Major Colloquium
Seminar-style course designed to introduce math department majors to the mathematical community at large, support new majors as they adjust to university life and expectations, and build students' written and oral communication skills, especially on math-related topics.

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Section Days Time Location Instructor
DATA 195M-001 Tu 3:00pm-3:50pm MTL 124
MATH 195M: Math and SDS Major Colloquium
Seminar-style course designed to introduce math department majors to the mathematical community at large, support new majors as they adjust to university life and expectations, and build students' written and oral communication skills, especially on math-related topics.

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Section Days Time Location Instructor
MATH 195M-001 Tu 3:00pm-3:50pm MTL 124
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 Instructor
MATH 196A-001 We 4:00pm-4:50pm PAS 588 Hosten, Melissa
MATH 196K: Business Calculus Supplemental Instruction Seminar
This course is designed as a complement to MATH 116. Students enrolled in the course will participate in a weekly problem session pertaining to material covered in MATH 116. Concurrent registration in MATH 116 is required.

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Section Days Time Location Instructor
MATH 196K-001 We 5:30pm-7:20pm MTL 120 Lugosi, Elizabeth
MATH 196K-002 Mo 5:30pm-7:20pm MTL 120 Lugosi, Elizabeth
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 Instructor
MATH 196L-001 Mo 4:00pm-5:50pm MTL 124 Lazarus, Tynan
MATH 196L-002 Th 4:00pm-5:50pm MTL 123 Andrews, Sarah
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 Instructor
MATH 196M-001 Th 4:00pm-5:50pm MTL 124 Jones, Tiffany
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 Instructor
MATH 196N-001 We 4:00pm-5:50pm MTL 124 Gilbert, Michael James
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 Instructor
MATH 196V-001 Mo 5:30pm-7:20pm SHNTZ 247 Ekstrom, Aaron T
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.

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Section Days Time Location Instructor
MATH 223-001 Mo, Tu, We, Th 8:00am-8:50am HARV 313 Sandler, Nataliya G
MATH 223-002 Mo, Tu, We, Th 9:00am-9:50am HARV 332C Sandler, Nataliya G
MATH 223-003 Mo, Tu, We, Th 10:00am-10:50am HARV 313 Reeder, Eun
MATH 223-004 Mo, Tu, We, Th 10:00am-10:50am HARV 208 Varghese, Mariamma G
MATH 223-005 Mo, Tu, We, Th 11:00am-11:50am HARV 208 Jewell, Chris
MATH 223-006H Mo, Tu, We, Th 2:00pm-2:50pm HARV 208 Reeder, Eun
MATH 223-007H Mo, Tu, We, Th 2:00pm-2:50pm HARV 313 Romanowska, Ewa
MATH 223-008 Mo, Tu, We, Th 3:00pm-3:50pm PSYCH 206 Jewell, Chris
MATH 223-009 Mo, Tu, We, Th 3:00pm-3:50pm HARV 313 Romanowska, Ewa
MATH 223-010 Mo, Tu, Th 4:00pm-5:10pm ILC 125 Cho, Sungyoon
MATH 223-011 Mo, Tu, Th 4:00pm-5:10pm ILC 125
MATH 223-101 Online Krawczyk, Donna M
MATH 223-102 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
MATH 243-001 Mo, We, Fr 12:00pm-12:50pm PSYCH 306 Bailey, Brenae
MATH 243-002 Mo, We, Fr 1:00pm-1:50pm PSYCH 306 Bailey, Brenae
MATH 243-003 Mo, We 4:00pm-5:15pm PSYCH 306 Jewell, Chris
MATH 243-004 Mo, We 4:00pm-5:15pm PSYCH 306
MATH 243-201 Online Ekstrom, Aaron T
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 Instructor
MATH 254-001 Tu, Th 2:00pm-3:15pm HARV 150 Yeap, Lay-May
MATH 254-001A We 8:00am-8:50am EDUC 337 Harris, Thomas
MATH 254-001B We 8:00am-8:50am EDUC 240 Kravitz, Hannah
MATH 254-001C We 9:00am-9:50am HARV 319 Quinones, Jason M
MATH 254-001F We 11:00am-11:50am MLNG 310 Kravitz, Hannah
MATH 254-001G We 12:00pm-12:50pm BIOW 237 Kravitz, Hannah
MATH 254-001H We 1:00pm-1:50pm PAS 224 Quinones, Jason M
MATH 254-001I We 2:00pm-2:50pm EDUC 337 Harris, Thomas
MATH 254-001J We 3:00pm-3:50pm HARV 411 Quinones, Jason M
MATH 254-001K We 4:00pm-4:50pm PSYCH 207 Harris, Thomas
MATH 254-002H Tu, Th 9:30am-10:45am SHNTZ 247 Yeap, Lay-May
MATH 254-003H Tu, Th 12:30pm-1:45pm HARV 415 Yeap, Lay-May
MATH 254-202 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.

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Section Days Time Location Instructor
MATH 263-001 Tu, Th 9:30am-10:45am CESL 103 Laird, Taryn
MATH 263-001A Fr 8:00am-8:50am MATH 401 Laird, Taryn
MATH 263-001B Fr 9:00am-9:50am PSYCH 205 Winchester, Alex
MATH 263-001C Fr 11:00am-11:50am PSYCH 204 Winchester, Alex
MATH 263-001D Fr 1:00pm-1:50pm PSYCH 207 Winchester, Alex
MATH 263-001E Fr 1:00pm-1:50pm PSYCH 204 Laird, Taryn
MATH 263-001F Fr 3:00pm-3:50pm PSYCH 206 Toner, Brian
MATH 263-002 Tu, Th 3:30pm-4:45pm BIOE 100 Chung, Kyung Mi
MATH 263-002A Fr 8:00am-8:50am EDUC 240 Zhu, Zihan
MATH 263-002B Fr 9:00am-9:50am PSYCH 204 Zhu, Zihan
MATH 263-002C Fr 10:00am-10:50am PSYCH 204 Ouyang, Wenbo
MATH 263-002D Fr 12:00pm-12:50pm PSYCH 204 Zhu, Zihan
MATH 263-002E Fr 2:00pm-2:50pm PSYCH 205 Ouyang, Wenbo
MATH 263-002F Fr 3:00pm-3:50pm PSYCH 205 Ouyang, Wenbo
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 Instructor
MATH 294A-001 We 4:00pm-4:50pm ENR2 S395 Cais, Bryden
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 Instructor
MATH 302A-001 Mo, We, Fr 8:00am-8:50am MTL 120
MATH 302A-002 Mo, We, Fr 11:00am-11:50am MTL 120 Ratnayaka, Kerima
MATH 302A-003 Tu, Th 9:30am-10:45am MTL 120 Fonseca, Jose David
MATH 302A-004 Mo, We 2:00pm-3:15pm 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 Instructor
MATH 302B-001 Mo, We 12:30pm-1:45pm MTL 120 Fonseca, Jose David
MATH 302B-002 Tu, Th 11:00am-12:15pm MTL 120 Wolfe, Jennifer
MATH 302B-003 Tu, Th 12:30pm-1:45pm MTL 120 Wolfe, Jennifer
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.

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Section Days Time Location Instructor
MATH 310-001 Mo, We, Fr 8:00am-8:50am PSYCH 206 Uribe, Guillermo Uribe
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.

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Section Days Time Location Instructor
MATH 313-001 Tu, Th 8:00am-9:15am PSYCH 305 Kha, Minh
MATH 313-002 Mo, We, Fr 10:00am-10:50am CHVEZ 316 Gomez, Kevin
MATH 313-003 Mo, We, Fr 10:00am-10:50am BIOW 237 Aubrey, Jason
MATH 313-004 Tu, Th 12:30pm-1:45pm BIOW 210 Zerouali, Ahmed
MATH 313-005 Mo, We, Fr 1:00pm-1:50pm BIOW 237 Tippings, Brandon
MATH 313-006 Mo, We, Fr 12:00pm-12:50pm SAGHA 101 Jones, Tiffany
MATH 313-008 Tu, Th 3:30pm-4:45pm CHEM 126 Kling, Anthony
MATH 313-009 Mo, We, Fr 10:00am-10:50am CHVEZ 301 Moon, Yong Suk
MATH 313-010 Tu, Th 3:30pm-4:45pm CHEM 126
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 Instructor
MATH 315-001 Tu, Th 9:30am-10:45am MTL 124 Adiredja, Adi
MATH 322: Mathematical Analysis for Engineers
Complex functions and integration, line and surface integrals, Fourier series, partial differential equations.

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Section Days Time Location Instructor
MATH 322-001 Mo, We, Fr 9:00am-9:50am SHNTZ 242E Cheng, Yongtao
MATH 322-002 Mo, We, Fr 10:00am-10:50am COMM 214 Abdul-Rahman, Houssam
MATH 322-003 Tu, Th 9:30am-10:45am PAS 314 Gabitov, Ildar R
MATH 322-004 Tu, Th 9:30am-10:45am PAS 314
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 Instructor
MATH 323-001 Mo, We, Fr 10:00am-10:50am PAS 304 Laetsch, Theodore W
MATH 323-002 Mo, We, Fr 1:00pm-1:50pm CHVEZ 303 Choi, Sunhi
MATH 323-003 Mo, We, Fr 9:00am-9:50am PAS 304 Laetsch, Theodore W
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 Instructor
MATH 355-001 Tu, Th 9:30am-10:45am S SCI 312 Henderson, Christopher
MATH 355-002 Tu, Th 8:00am-9:15am EDUC 337 Cushing, Jim Michael
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 Instructor
DATA 361-001 Mo, We, Fr 1:00pm-1:50pm EDUC 337 True, Chris
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 Instructor
MATH 361-001 Mo, We, Fr 1:00pm-1:50pm EDUC 337 True, Chris
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 Instructor
DATA 363-001 Tu, Th 9:30am-10:45am ILC 119 Rubio, Antonio
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 Instructor
MATH 363-001 Tu, Th 9:30am-10:45am ILC 119 Rubio, Antonio
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 Instructor
DATA 367-001 Mo, We 3:00pm-4:15pm MLNG 413 Ekstrom, Aaron T
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 Instructor
DATA 375-001 Tu, Th 8:00am-9:15am CHEM 126 Lytal, Nick
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 Instructor
MATH 391-002 Fr 11:00am-11:50am MATH 514
MATH 391-003 Fr 12:00pm-12:50pm MATH 514
MATH 392: Directed Research
Individual research under the guidance of faculty.

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Section Days Time Location Instructor
MATH 392-001 Fr 1:00pm-1:50pm MTL 124
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 Instructor
MATH 396L-001 We 3:00pm-4:50pm MTL 123 Fider, Nicole
MATH 396T: Topics in Undergraduate Mathematics
Selected 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 topics in modern mathematics beyond what is presented in the core subjects required for the math major.

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Section Days Time Location Instructor
MATH 396T-001 Mo, We, Fr 10:00am-10:50am HARV 316 Sims, Robert
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 Instructor
MATH 406A-001 Tu, Th 2:00pm-3:15pm MTL 120 McGraw, Rebecca
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 Instructor
MATH 413-001 Mo, We, Fr 1:00pm-1:50pm EDUC 240 Niu, Jingchen
MATH 413-002 Mo, We, Fr 10:00am-10:50am PSYCH 309
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 Instructor
MATH 415B-001 Mo, We, Fr 11:00am-11:50am PAS 314 Cais, Bryden
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 Instructor
MATH 422-001 Tu, Th 12:30pm-1:45pm ECE 107 Moloney, Jerome V
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 Instructor
MATH 424-001 Tu, Th 2:00pm-3:15pm CHEM 126 Glasner, Karl B
MATH 424-002 Tu, Th 2:00pm-3:15pm CHEM 126
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 Instructor
MATH 425B-001 Mo, We, Fr 10:00am-10:50am EDUC 240 Navarrete, Raymundo
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 Instructor
MATH 432-001 Mo, We, Fr 9:00am-9:50am BIOW 210 Aubrey, Jason
MATH 445: Introduction to Cryptography
[Taught Spring semester in even-numbered years]. Introduction to cryptosystems and cryptanalysis. Basic number theory and finite fields. Basic complexity theory and probability. RSA and Diffie-Hellman protocols, factorization and discrete log attacks. Advanced encryption standard. Additional topics as times allows.

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Section Days Time Location Instructor
MATH 445-001 Mo, We, Fr 2:00pm-2:50pm SHNTZ 242E Keller, Christoph
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 Instructor
MATH 454-001 Mo, We, Fr 2:00pm-2:50pm PSYCH 309 Wang, Qiu-dong
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 Instructor
MATH 456-001 Mo, We, Fr 11:00am-11:50am PSYCH 305 Xue, Jianfei
MATH 456-002 Mo, We, Fr 1:00pm-1:50pm CHVEZ 308 O'Brien, Ethan
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 Instructor
DATA 462-001 Mo, We, Fr 8:00am-8:50am PSYCH 307 Farrell, Alex
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 Instructor
MATH 462-001 Mo, We, Fr 8:00am-8:50am PSYCH 307 Farrell, Alex
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 Instructor
MATH 464-001 Tu, Th 9:30am-10:45am EDUC 240 Pickrell, Douglas M
MATH 464-002 Tu, Th 2:00pm-3:15pm NA -
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 Instructor
MATH 466-001 Tu, Th 9:30am-10:45am EDUC 331 Tang, Xueying
MATH 466-002 Tu, Th 2:00pm-3:15pm PAS 404 Lippitt, William
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 Instructor
DATA 468-001 Tu, Th 2:00pm-3:15pm PSYCH 307 Lin, Kevin
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 Instructor
MATH 468-001 Tu, Th 2:00pm-3:15pm PSYCH 307 Lin, Kevin
MATH 475B: Mathematical Principles of Numerical Analysis
Numerical integration, solution of systems of ordinary differential equations, initial value and boundary value problems.

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Section Days Time Location Instructor
MATH 475B-001 Tu, Th 9:30am-10:45am PSYCH 304 Kunyansky, Leonid
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 Instructor
MATH 485-001 Tu, Th 11:00am-12:15pm BIOW 210 Zhang-Molina, Calvin
MATH 485-002 Tu, Th 2:00pm-3:15pm EDUC 337 Gabitov, Ildar R
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 Instructor
MATH 496T-001 Tu, Th 11:00am-12:15pm NA -
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 Instructor
DATA 498A-001 Tu, Th 11:00am-12:15pm MTL 124 Slagle, Conrad