The University of Arizona

Courses - Spring 2019

Below is the course information for January 9, 2019 through May 9, 2019. 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 We 9:30am-10:45am Online Woodward, Michael
MATH 100-002 We 9:30am-10:45am
MATH 100-003 We 9:30am-10:45am Online Dahlke, Caleb
MATH 100-004 We 9:30am-10:45am Online Savoie, Benjamin
MATH 100-005 We 9:30am-10:45am
MATH 100-006 We 9:30am-10:45am Online Woodward, Michael
MATH 100-007 We 11:00am-12:15pm Online Savoie, Benjamin
MATH 100-008 We 11:00am-12:15pm
MATH 100-009 We 11:00am-12:15pm
MATH 100-010 We 11:00am-12:15pm Online Roon, Eric
MATH 100-011 We 11:00am-12:15pm
MATH 100-012 We 11:00am-12:15pm Online Dahlke, Caleb
MATH 100-013 We 12:30pm-1:45pm Online Hand, Leaha
MATH 100-014 We 12:30pm-1:45pm
MATH 100-015 We 12:30pm-1:45pm Online Ledesma, Jorge
MATH 100-016 We 12:30pm-1:45pm Online Roon, Eric
MATH 100-017 We 12:30pm-1:45pm
MATH 100-018 We 12:30pm-1:45pm Online Hand, Leaha
MATH 100-019 Th 9:30am-10:45am
MATH 100-020 Th 9:30am-10:45am
MATH 100-021 Th 9:30am-10:45am
MATH 100-022 Th 9:30am-10:45am Online Plante, Kenneth
MATH 100-023 Th 9:30am-10:45am Online Hand, Leaha
MATH 100-024 Th 9:30am-10:45am
MATH 100-025 Th 11:00am-12:15pm
MATH 100-026 Th 11:00am-12:15pm
MATH 100-027 Th 11:00am-12:15pm Online Roon, Eric
MATH 100-028 Th 11:00am-12:15pm
MATH 100-029 Th 11:00am-12:15pm Online Ledesma, Jorge
MATH 100-030 Th 11:00am-12:15pm
MATH 100-031 Th 12:30pm-1:45pm
MATH 100-032 Th 12:30pm-1:45pm Online Ledesma, Jorge
MATH 100-033 Th 12:30pm-1:45pm
MATH 100-034 Th 12:30pm-1:45pm
MATH 100-035 Th 12:30pm-1:45pm Online Plante, Kenneth
MATH 100-036 Th 12:30pm-1:45pm Online Savoie, Benjamin
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 M LNG 311 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 HARV 404 Salazar, Fany
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 SAGHA 101 Fries, William
MATH 107-002 Tu, Th 8:00am-9:15am SAGHA 202 Hoffman, Sarah Jean
MATH 107-003 Tu, Th 11:00am-12:15pm M LNG 311 Wilson, Mitchell James
MATH 107-004 Tu, Th 12:30pm-1:45pm CAPLA 103 Wilson, Mitchell James
MATH 107-005 Tu, Th 2:00pm-3:15pm CAPLA 103 Laird, Taryn
MATH 107-006 Tu, Th 3:30pm-4:45pm SAGHA 101 Clark, Scott E
MATH 107-201 Online Hoffman, Sarah Jean
Topics include right triangle trigonometry, trigonometric functions and graphs, trig identities, inverse trig functions, law of sines, and law of cosines. 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. Not applicable to the mathematics major or minor. 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 111-001 Mo, We 8:00am-8:50am PAS 304 Bell, Brian
MATH 111-002 Mo, We 9:00am-9:50am CAPLA 302A Latifi Jebelli, Mohammad
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 SAGHA 101 Norman, Alexander
MATH 112-002 Mo, We, Fr 8:00am-8:50am SAGHA 202 Fonseca, Jose
MATH 112-003 Mo, We, Fr 8:00am-8:50am MCPRK 101 Aboud, Quinton
MATH 112-004 Mo, We, Fr 9:00am-9:50am S SCI 206 Guzman, Anthony
MATH 112-005 Mo, We, Fr 9:00am-9:50am SAGHA 202 Person-Renell, Christopher
MATH 112-006 Mo, We, Fr 10:00am-10:50am ILC 119 Albornoz-Basto, Armando
MATH 112-007 Mo, We, Fr 10:00am-10:50am MCPRK 101 Bailey, Brenae
MATH 112-008 Mo, We, Fr 10:00am-10:50am HARV 404 Aboud, Quinton
MATH 112-009 Mo, We, Fr 11:00am-11:50am SAGHA 202 Yslas, Catherine
MATH 112-010 Mo, We, Fr 11:00am-11:50am SAGHA 101 Lawler, Mary
MATH 112-011 Mo, We, Fr 9:00am-9:50am SAGHA 101 Fonseca, Jose
MATH 112-012 Mo, We, Fr 12:00pm-12:50pm SAGHA 101 Wei, Bolun
MATH 112-013 Mo, We, Fr 12:00pm-12:50pm SAGHA 202 Thrall, Amber
MATH 112-014 Mo, We, Fr 1:00pm-1:50pm CHVEZ 405 Craig, Jeffrey
MATH 112-015 Mo, We, Fr 1:00pm-1:50pm S SCI 222 Fleming, Eric
MATH 112-016 Mo, We, Fr 2:00pm-2:50pm HARV 101 Doty, Johanna
MATH 112-017 Mo, We, Fr 2:00pm-2:50pm SAGHA 202 Andrews, Sarah
MATH 112-018 Mo, We, Fr 3:00pm-3:50pm CHEM 209 Dirdak, Abigayle
MATH 112-019 Mo, We, Fr 3:00pm-3:50pm HARV 305 Tramer, Lawrence
MATH 112-020 Mo, We, Fr 3:00pm-3:50pm SAGHA 202 Andrews, Sarah
MATH 112-021 Mo, We 4:00pm-5:15pm
MATH 112-022 Mo, We 4:00pm-5:15pm BIO W 208 Stefanko, Kathryn
MATH 112-102 Online Deemer, Tina M
MATH 112-201 Online Deboer, Wieke Digna
MATH 112-202 Online Deemer, Tina M
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 102 Macmillan, Bruce
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 8:00am-8:50am PSYCH 206 Lugosi, Elizabeth
MATH 116-002 Mo, We, Fr 9:00am-9:50am PAS 304 Lawler, Mary
MATH 116-003 Mo, We, Fr 9:00am-9:50am PSYCH 307 Lugosi, Elizabeth
MATH 116-004 Mo, We, Fr 10:00am-10:50am EDUC 316 Nelson, Spencer
MATH 116-005 Mo, We, Fr 10:00am-10:50am PSYCH 307 Jewell, Christopher M.
MATH 116-006 Mo, We, Fr 12:00pm-12:50pm PSYCH 305 Rossetti, Michael
MATH 116-007 Mo, We, Fr 1:00pm-1:50pm PSYCH 204 Rossetti, Michael
MATH 116-008 Mo, We, Fr 2:00pm-2:50pm PSYCH 305 Fleming, Eric
MATH 116-009 Mo, We, Fr 3:00pm-3:50pm PSYCH 205 Doehrman, Thomas
MATH 116-010 Tu, Th 8:00am-9:15am PAS 414 Awalt, John
MATH 116-011 Tu, Th 9:30am-10:45am M LNG 205 Foster, Steven G
MATH 116-012 Tu, Th 12:30pm-1:45pm M LNG 202 Foster, Steven G
MATH 116-013 Tu, Th 12:30pm-1:45pm AME S336 Craig, Jeffrey
MATH 116-014 Tu, Th 3:30pm-4:45pm EDUC 333 Craig, Jeffrey
MATH 116-015 Tu, Th 3:30pm-4:45pm PAS 304 Kravitz, Hannah
MATH 116-016 Tu, Th 5:00pm-6:15pm PAS 318 Ekstrom, Aaron T
MATH 116-017 Tu, Th 5:00pm-6:15pm PAS 414 Craig, Jeffrey
MATH 116-018 Mo, We, Fr 8:00am-8:50am PAS 418 Lawler, Mary
MATH 116-019 Mo, We 4:00pm-5:15pm PAS 318 Fang, Lanbo
MATH 116-020 Mo, We 4:00pm-5:15pm PAS 414 Acevedo, Alberto
MATH 116-021 Mo, We, Fr 3:00pm-3:50pm PSYCH 204 Keys, Dustin
MATH 116-022 Mo, We, Fr 3:00pm-3:50pm PAS 418 Ondracek, Chloe
MATH 116-024 Mo, We, Fr 10:00am-10:50am SHNTZ 242E Clark, Douglas C
MATH 116-025 Mo, We, Fr 12:00pm-12:50pm BIO W 237 Clark, Douglas C
MATH 116-101 Online Kloefkorn, Tyler
MATH 116-201 Online Kloefkorn, Tyler
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.

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Section Days Time Location Instructor
MATH 119A-001 Tu, Th 8:00am-9:15am ILC 125 Indik, Rob
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 8:00am-8:50am PAS 318 Takagi, Janice
MATH 120R-002 Mo, Tu, We, Th, Fr 8:00am-8:50am EDUC 318 Reeder, Eun
MATH 120R-003 Mo, Tu, We, Th, Fr 9:00am-9:50am EDUC 318 Reeder, Eun
MATH 120R-004 Mo, Tu, We, Th, Fr 9:00am-9:50am PAS 312 Rossetti, Michael
MATH 120R-005 Mo, Tu, We, Th, Fr 10:00am-10:50am CHVEZ 304 Awalt, John
MATH 120R-006 Mo, Tu, We, Th, Fr 10:00am-10:50am HARV 107 Reyes, Stephen
MATH 120R-007 Mo, Tu, We, Th, Fr 11:00am-11:50am CHVEZ 303 Awalt, John
MATH 120R-008 Mo, Tu, We, Th, Fr 11:00am-11:50am HARV 316 Takagi, Janice
MATH 120R-009 Mo, Tu, We, Th, Fr 12:00pm-12:50pm PAS 314 Tramer, Lawrence
MATH 120R-010 Mo, Tu, We, Th, Fr 1:00pm-1:50pm ENGR 304 Yslas, Catherine
MATH 120R-011 Mo, Tu, We, Th, Fr 1:00pm-1:50pm HARV 102 Tramer, Lawrence
MATH 120R-012 Mo, Tu, We, Th, Fr 2:00pm-2:50pm CHVEZ 304 Yslas, Catherine
MATH 120R-013 Mo, Tu, We, Th, Fr 2:00pm-2:50pm EDUC 318 Krawczyk, Donna M
MATH 120R-014 Mo, Tu, We, Th, Fr 3:00pm-3:50pm HARV 208 Romanowska, Ewa
MATH 120R-015 Mo, Tu, We, Th, Fr 3:00pm-3:50pm PAS 312 Knak, Rachel
MATH 120R-016 Mo, Tu, We, Th 4:00pm-5:05pm PAS 412 Foster, Steven G
MATH 120R-017 Mo, Tu, We, Th 4:00pm-5:05pm PAS 314 Edwards, Luke
MATH 120R-018 Mo, Tu, We, Th 5:15pm-6:20pm
MATH 120R-019 Mo, Tu, We, Th 5:15pm-6:20pm PAS 314 Bollen, Brian
MATH 120R-020 Mo, Tu, We, Th, Fr 8:00am-8:50am HARV 313 Reyes, Stephen
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, Christopher
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, Christopher
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 PAS 312 Reyes, Stephen
MATH 122A-002 Mo, Tu, We, Th, Fr 8:00am-8:50am PAS 318 Takagi, Janice
MATH 122A-003 Mo, Tu, We, Th, Fr 9:00am-9:50am PAS 404 Rossetti, Michael
MATH 122A-004 Mo, Tu, We, Th, Fr 9:00am-9:50am PAS 312 Wood, Debra L
MATH 122A-005 Mo, Tu, We, Th, Fr 10:00am-10:50am CHVEZ 304 Awalt, John
MATH 122A-006 Mo, Tu, We, Th, Fr 10:00am-10:50am COMM 113 Reeder, Eun
MATH 122A-007 Mo, Tu, We, Th, Fr 11:00am-11:50am COMM 311 Deboer, Wieke Digna
MATH 122A-008 Mo, Tu, We, Th, Fr 11:00am-11:50am BIO W 237 Sandler, Nataliya G
MATH 122A-009 Mo, Tu, We, Th, Fr 12:00pm-12:50pm PAS 314 Krawczyk, Donna M
MATH 122A-010 Mo, Tu, We, Th, Fr 1:00pm-1:50pm ENGR 304 Wood, Debra L
MATH 122A-011 Mo, Tu, We, Th, Fr 1:00pm-1:50pm PAS 312 Reyes, Stephen
MATH 122A-012 Mo, Tu, We, Th, Fr 2:00pm-2:50pm EDUC 318 Peng, Guanying
MATH 122A-013 Mo, Tu, We, Th, Fr 2:00pm-2:50pm PAS 312 Reyes, Stephen
MATH 122A-014 Mo, Tu, We, Th, Fr 3:00pm-3:50pm
MATH 122A-015 Mo, Tu, We, Th, Fr 3:00pm-3:50pm PAS 312 Romanowska, Ewa
MATH 122A-016 Mo, Tu, We, Th 4:00pm-5:05pm PAS 412 Wilson, Mitchell James
MATH 122A-017 Mo, Tu, We, Th 4:00pm-5:05pm PAS 314 McBride, Jared
MATH 122A-018 Mo, Tu, We, Th 5:15pm-6:20pm PAS 404 McBride, Jared
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 208 Liang, Jinjin
MATH 122B-002 Mo, Tu, We, Th, Fr 8:00am-8:50am PAS 312 Johnson, Greg
MATH 122B-003 Mo, Tu, We, Th, Fr 9:00am-9:50am PAS 412 Wood, Debra L
MATH 122B-004 Mo, Tu, We, Th, Fr 9:00am-9:50am PAS 404 Banks, Robert
MATH 122B-006 Mo, Tu, We, Th, Fr 10:00am-10:50am COMM 113 Ratnayaka, Kerima
MATH 122B-007 Mo, Tu, We, Th, Fr 11:00am-11:50am COMM 311 Ratnayaka, Kerima
MATH 122B-008 Mo, Tu, We, Th, Fr 11:00am-11:50am BIO W 237 Priver, Kyle
MATH 122B-009 Mo, Tu, We, Th, Fr 12:00pm-12:50pm PAS 404 Jewell, Christopher M.
MATH 122B-010 Mo, Tu, We, Th, Fr 1:00pm-1:50pm
MATH 122B-011 Mo, Tu, We, Th, Fr 1:00pm-1:50pm PAS 312 Jewell, Christopher M.
MATH 122B-012 Mo, Tu, We, Th, Fr 2:00pm-2:50pm
MATH 122B-013 Mo, Tu, We, Th, Fr 2:00pm-2:50pm PAS 312 Turnquist, Alyssa
MATH 122B-014 Mo, Tu, We, Th, Fr 3:00pm-3:50pm PAS 412 Wilson, Mitchell James
MATH 122B-015 Mo, Tu, We, Th, Fr 3:00pm-3:50pm PAS 404 Mathur, Siddharth
MATH 122B-016 Mo, Tu, We, Th 4:00pm-5:05pm
MATH 122B-017 Mo, Tu, We, Th 4:00pm-5:05pm PAS 404 Jones, Tiffany
MATH 122B-018 Mo, Tu, We, Th 5:15pm-6:20pm PAS 404 Elert, Eric
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 125-001 Tu, Th 8:00am-9:15am
MATH 125-002 Mo, We, Fr 2:00pm-2:50pm PSYCH 207 Reeder, Eun
MATH 125-101 Online Kennedy, Thomas G
MATH 125-201 Online Kennedy, Thomas G
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 205 Taylor, Jonathan David
MATH 129-002 Mo, We, Fr 8:00am-8:50am PSYCH 204 Varghese, Mariamma G
MATH 129-003 Mo, We, Fr 9:00am-9:50am PSYCH 305 Varghese, Mariamma G
MATH 129-004 Mo, We, Fr 10:00am-10:50am PSYCH 305 Kaushish, Madhav
MATH 129-005 Mo, We, Fr 10:00am-10:50am PSYCH 207 Wu, Liang
MATH 129-006 Mo, We, Fr 11:00am-11:50am PSYCH 207 Cheng, Yongtao
MATH 129-007H Mo, We, Fr 11:00am-11:50am CE 201 Cais, Bryden
MATH 129-008 Mo, We, Fr 12:00pm-12:50pm PSYCH 207 Smith, Deirdre A
MATH 129-009 Mo, We, Fr 1:00pm-1:50pm HARV 411 Kraft, Angela Marie
MATH 129-010 Mo, We, Fr 1:00pm-1:50pm CHEM 126 Glickenstein, David
MATH 129-011 Mo, We, Fr 2:00pm-2:50pm PSYCH 206 Laetsch, Theodore W
MATH 129-012 Mo, We, Fr 2:00pm-2:50pm PSYCH 205 Smith, Deirdre A
MATH 129-013 Mo, We, Fr 3:00pm-3:50pm
MATH 129-014 Tu, Th 3:30pm-4:45pm PSYCH 307 Abdul-Rahman, Houssam
MATH 129-015 Tu, Th 9:30am-10:45am GLD-S 701 Hao, Ning
MATH 129-016 Tu, Th 9:30am-10:45am SAGHA 114 Swift, Lindsay
MATH 129-017 Tu, Th 11:00am-12:15pm HARV 415 Coatney, Ryan
MATH 129-018 Tu, Th 12:30pm-1:45pm PAS 304 Sandler, Nataliya G
MATH 129-019 Tu, Th 2:00pm-3:15pm
MATH 129-020 Tu, Th 2:00pm-3:15pm PSYCH 205 Sims, Robert
MATH 129-021 Tu, Th 3:30pm-4:45pm
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 PSYCH 204 Deboer, Wieke Digna
MATH 163-002 Tu, Th 9:30am-10:45am M LNG 210 True, Christopher
MATH 163-003 Tu, Th 3:30pm-4:45pm PSYCH 207 Chung, Kyung Mi
MATH 163-004 Tu, Th 3:30pm-4:45pm PSYCH 206 Agrawal, Utkarsh
MATH 163-005 Tu, Th 12:30pm-1:45pm PSYCH 207 True, Christopher
MATH 163-006 Tu, Th 9:30am-10:45am PSYCH 206 Deboer, Wieke Digna
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 GLD-S 849 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 124 Lugosi, Elizabeth
MATH 196K-002 Mo 5:30pm-7:20pm MTL 124 Nelson, Spencer
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 121 Chung, Kyung Mi
MATH 196L-002 Th 4:00pm-5:50pm MTL 124 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 123 Crum, Justin
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 123 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 MTL 123 Lippitt, Will
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 Instructor
MATH 202-001 Tu, Th 3:30pm-4:45pm
Vectors, differential and integral calculus of several variables. Examinations are proctored.

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Section Days Time Location Instructor
MATH 223-001 Mo, Tu, We, Th 8:00am-8:50am HARV 319 Sandler, Nataliya G
MATH 223-002 Mo, Tu, We, Th 8:00am-8:50am
MATH 223-003 Mo, Tu, We, Th 9:00am-9:50am HARV 319 Sandler, Nataliya G
MATH 223-004 Mo, Tu, We, Th 10:00am-10:50am PAS 412 Lanius, Melinda
MATH 223-005 Mo, Tu, We, Th 10:00am-10:50am PAS 404 Yeap, Lay-May
MATH 223-006 Mo, Tu, We, Th 11:00am-11:50am PAS 404 Varghese, Mariamma G
MATH 223-007H Mo, Tu, We, Th 2:00pm-2:50pm PAS 412 Gilbert, Michael James
MATH 223-008 Mo, Tu, We, Th 2:00pm-2:50pm PAS 404 Yeap, Lay-May
MATH 223-009 Mo, Tu, We, Th 3:00pm-3:50pm PAS 318 Gilbert, Michael James
MATH 223-010 Mo, Tu, We, Th 3:00pm-3:50pm PAS 314 Yeap, Lay-May
MATH 223-011 Mo, Tu, Th 4:00pm-5:10pm CHVEZ 109 Tippings, Brandon
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 HARV 102 Bailey, Brenae
MATH 243-002 Mo, We, Fr 1:00pm-1:50pm CHVEZ 105 Bailey, Brenae
MATH 243-003 Mo, We 4:00pm-5:15pm PAS 312 Uribe, Guillermo
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 PAS 201 Newell, Alan C
MATH 254-001A We 8:00am-8:50am PSYCH 305 Harris, Thomas
MATH 254-001B We 8:00am-8:50am PSYCH 207 Quinones, Jason M
MATH 254-001C We 9:00am-9:50am M LNG 205 Harris, Thomas
MATH 254-001D We 9:00am-9:50am
MATH 254-001E We 10:00am-10:50am
MATH 254-001F We 11:00am-11:50am PSYCH 204 Harris, Thomas
MATH 254-001G We 12:00pm-12:50pm PSYCH 307 Luo, Jerry (Zhaorui)
MATH 254-001H We 1:00pm-1:50pm CHVEZ 316 Luo, Jerry (Zhaorui)
MATH 254-001I We 2:00pm-2:50pm PAS 304 Quinones, Jason M
MATH 254-001J We 3:00pm-3:50pm PAS 304 Quinones, Jason M
MATH 254-001K We 4:00pm-4:50pm PSYCH 204 Luo, Jerry (Zhaorui)
MATH 254-002H Tu, Th 9:30am-10:45am AME S336 Romanowska, Ewa
MATH 254-003H Tu, Th 12:30pm-1:45pm PSYCH 206 Romanowska, Ewa
MATH 254-202 Online Ramalheira-Tsu, Jonathan
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 GITT 129B Hughes Hallett, Deborah J
MATH 263-001A Fr 8:00am-8:50am PSYCH 305 Zhang, Renee
MATH 263-001B Fr 9:00am-9:50am PAS 418 Lu, Zhaoying
MATH 263-001C Fr 11:00am-11:50am PAS 404 Zhang, Renee
MATH 263-001D Fr 12:00pm-12:50pm PSYCH 307 Zhang, Renee
MATH 263-001E Fr 1:00pm-1:50pm PAS 314 Lu, Zhaoying
MATH 263-001F Fr 3:00pm-3:50pm PAS 304 Lu, Zhaoying
MATH 263-001G Fr 3:00pm-3:50pm
MATH 263-002 Tu, Th 3:30pm-4:45pm GITT 129B True, Christopher
MATH 263-002A Fr 8:00am-8:50am PSYCH 207 Lu, Yingying
MATH 263-002B Fr 9:00am-9:50am PAS 314 Winchester, Alexander
MATH 263-002C Fr 10:00am-10:50am PAS 314 Lu, Yingying
MATH 263-002D Fr 12:00pm-12:50pm EDUC 331 Lu, Yingying
MATH 263-002E Fr 2:00pm-2:50pm PAS 404 Winchester, Alexander
MATH 263-002F Fr 3:00pm-3:50pm PSYCH 207 Winchester, Alexander
MATH 263-002G Fr 3:00pm-3:50pm
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 Doty, Johanna
MATH 302A-002 Mo, We, Fr 11:00am-11:50am MTL 120 Andrews, Sarah
MATH 302A-003 Tu, Th 12:30pm-1:45pm MTL 120 Ratnayaka, Kerima
MATH 302A-004 Mo, We 1:00pm-2:15pm MTL 120 Neihaus, Aubrey
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, Fr 9:00am-9:50am MTL 120 Takagi, Janice
MATH 302B-003 Tu, Th 11:00am-12:15pm MTL 120 Fonseca, Jose
MATH 302B-004 Tu, Th 9:30am-10:45am MTL 120 Fonseca, Jose
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 BIO W 210 Huroyan, Vahan
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 BIO W 210 Kling, Anthony
MATH 313-002 Mo, We, Fr 10:00am-10:50am HARV 319 Gilbert, Michael James
MATH 313-003 Mo, We, Fr 10:00am-10:50am BIO W 210 Wheeler, Matthew
MATH 313-004 Tu, Th 12:30pm-1:45pm HARV 415 Niu, Jingchen
MATH 313-005 Mo, We, Fr 1:00pm-1:50pm BIO W 237 Navarrete, Raymundo
MATH 313-006 Mo, We, Fr 12:00pm-12:50pm GITT 207 Gillette, Andrew
MATH 313-007 Mo, We, Fr 12:00pm-12:50pm
MATH 313-008 Tu, Th 3:30pm-4:45pm PAS 414 Piyaratne, Dulip
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 PSYCH 207 Gabitov, Ildar R
MATH 322-002 Mo, We, Fr 10:00am-10:50am PSYCH 206 Gabitov, Ildar R
MATH 322-003 Mo, We, Fr 1:00pm-1:50pm PSYCH 307 Do, Ngoc
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 M LNG 314 Choi, Sunhi
MATH 323-002 Mo, We, Fr 1:00pm-1:50pm M LNG 312 Laetsch, Theodore W
MATH 323-003 Mo, We, Fr 9:00am-9:50am PSYCH 206 Madden, Daniel
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 PSYCH 307 Farrell, Alex
MATH 355-002 Tu, Th 11:00am-12:15pm PAS 224 Sims, Robert
MATH 355-003 Tu, Th 8:00am-9:15am ENGR 307 Cushing, Jim M
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 PSYCH 205 True, Christopher
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 PSYCH 205 True, Christopher
DATA 363: Introduction to Statistical Methods
In Introduction to Statistical Methods, we shall be using your background in biology and your previous knowledge of calculus and differential equations to consider the issues of collection, model derivation and analysis, interpretation, explanation, and presentation of data. Even though our examples derive mainly from the life sciences, statistics is applicable to a wide variety of academic disciplines, from the natural and social sciences to the humanities.

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Section Days Time Location Instructor
DATA 363-001 Tu, Th 9:30am-10:45am HARV 318 Watkins, Joseph C
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 PSYCH 206 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 M LNG 210 Xia, Shenghao
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 391-003 Fr 12:00pm-12:50pm
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 124 Lanius, Melinda
MATH 401B: Symbolic Logic
Advanced propositional logic and quantification theory; metatheorems on consistency, independence, and completeness; set theory, number theory, and modal theory; recursive function theory and Goedel's incompleteness theorem.

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Section Days Time Location Instructor
MATH 401B-001 Mo, We, Fr 10:00am-10:50am
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 PSYCH 207 Keller, Christoph
MATH 413-002 Mo, We, Fr 10:00am-10:50am PSYCH 205 Young, Amanda
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 PSYCH 206 Taylor, Jay
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 PSYCH 205 Zakharov, Vladimir E
MATH 422-002 Tu, Th 2:00pm-3:15pm BIO W 237 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 PAS 304 Mrad, Lidia
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 PSYCH 204 Kha, Minh
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 PSYCH 205 Aubrey, Jason
MATH 446: Theory of Numbers
[Taught Spring semester in odd-numbered years]. Divisibility properties of primes, congruences, quadratic residues, number-theoretic functions, primality, factoring, applications to crytopgraphy, introduction to algebraic numbers.

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Section Days Time Location Instructor
MATH 446-001 Mo, We, Fr 12:00pm-12:50pm PAS 318 Booher, Jeremy
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 Instructor
MATH 447-001 Mo, We, Fr 2:00pm-2:50pm PAS 414 Rychlik, Marek R
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 M LNG 312 Stepien, Tracy
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 PAS 414 Carter, Paul
MATH 456-002 Mo, We, Fr 1:00pm-1:50pm PSYCH 308 Glasner, Karl B
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 PAS 414 Bayly, Bruce J
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 PAS 414 Bayly, Bruce J
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 PSYCH 205 Abdul-Rahman, Houssam
MATH 464-002 Tu, Th 2:00pm-3:15pm PSYCH 305 Liu, Yiwen
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 PSYCH 204 Niu, Selena
MATH 466-002 Tu, Th 2:00pm-3:15pm PSYCH 207 Niu, Selena
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 PAS 414 Xue, Jianfei
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 PAS 414 Xue, Jianfei
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 PAS 416 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 PSYCH 204 Wang, Qiu-dong
MATH 485-002 Tu, Th 2:00pm-3:15pm ENGR 304 Lega, Joceline C
MATH 488: Topics in Mathematical Physics
Advanced topics in field theories, mathematical theory of quantum mechanics, mathematical theory of statistical mechanics; content varies

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Section Days Time Location Instructor
MATH 488-001 Tu, Th 2:00pm-3:15pm M LNG 310 Zakharov, Vladimir E
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 3:30pm-4:45pm PAS 418 Neville, Rachel
MATH 501B: Symbolic Logic
Advanced propositional logic and quantification theory; metatheorems on consistency, independence, and completeness; set theory, number theory, and modal theory; recursive function theory and Goedel's incompleteness theorem. Graduate-level requirements include an in-depth research project on a central theme or topic of the course. Courses for which students receive the grade of P (Pass) do not satisfy requirements for the M.A. or Ph.D. or minor in philosophy.

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Section Days Time Location Instructor
MATH 501B-001 Mo, We, Fr 10:00am-10:50am
MATH 509C: Statistics for Research
Statistical concepts and methods applied to research in other scientific disciplines. Principles of estimation and hypothesis testing for standard one-and two-sample procedures. Correlation, linear regression. Contingency tables and analysis of variance.

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Section Days Time Location Instructor
MATH 509C-101 Online Ekstrom, Aaron T
MATH 511B: Algebra
Structure of groups, rings, modules, algebras; Galois theory.

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Section Days Time Location Instructor
MATH 511B-001 Tu, Th 12:30pm-1:45pm MATH 501 Lux, Klaus M
MATH 513: Linear Algebra
Vector spaces, linear transformations and matrices, determinants, eigenvalues and diagonalization, bilinear forms, orthogonal and unitary transformations, Jordan canonical form. Graduate-level requirements include more extensive problem sets or advanced projects.

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Section Days Time Location Instructor
MATH 513-001 Mo, We, Fr 1:00pm-1:50pm PSYCH 207 Keller, Christoph
MATH 515B: 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. Graduate-level requirements include more extensive problem sets or advanced projects.

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Section Days Time Location Instructor
MATH 515B-001 Mo, We, Fr 11:00am-11:50am PSYCH 206 Taylor, Jay
MATH 517B: Group Theory
[Taught Spring semester in odd-numbered years] Selections from such topics as finite groups, abelian groups, characters and representations.

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Section Days Time Location Instructor
MATH 517B-001 Tu, Th 11:00am-12:15pm MATH 514 Lux, Klaus M
MATH 519: Topics in Number Theory and Combinatorics
Advanced topics in algebraic number theory, analytic number theory, class fields, combinatorics; content varies.

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Section Days Time Location Instructor
MATH 519-001 Mo, We 11:00am-12:15pm MATH 514 Xue, Hang
MATH 520B: Complex Analysis
[Taught Spring semester in odd-numbered years.] Rudiments of Riemann surfaces.

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Section Days Time Location Instructor
MATH 520B-001 Mo, We, Fr 2:00pm-2:50pm MATH 501 Joshi, Kirti N
MATH 522: 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. Graduate-level requirements include more extensive problem sets or advanced projects.

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Section Days Time Location Instructor
MATH 522-001 Tu, Th 12:30pm-1:45pm PSYCH 205 Zakharov, Vladimir E
MATH 523B: Real Analysis
Lebesgue measure and integration, differentiation, Radon-Nikodym theorem, Lp spaces, applications.

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Section Days Time Location Instructor
MATH 523B-001 Mo, We, Fr 10:00am-10:50am MATH 501 Pickrell, Douglas M
MATH 524: 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. Graduate-level requirements include more extensive problem sets or advanced project.

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Section Days Time Location Instructor
MATH 524-001 Tu, Th 2:00pm-3:15pm PAS 304 Mrad, Lidia
MATH 525B: 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. Graduate-level requirements include more extensive problem sets or advanced projects.

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Section Days Time Location Instructor
MATH 525B-001 Mo, We, Fr 10:00am-10:50am PSYCH 204 Kha, Minh
MATH 527B: Principles of Analysis
Metric spaces, basic properties of normed linear spaces, distributions, the Lebesque intergral and Lebesque spaces, convergence theorems; applications chosen by the instructor.

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Section Days Time Location Instructor
MATH 527B-001 Mo, We, Fr 11:00am-11:50am MATH 501 Friedlander, Leonid
MATH 532: 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. Graduate-level requirements include additional assignments and/or projects.

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Section Days Time Location Instructor
MATH 532-001 Mo, We, Fr 9:00am-9:50am PSYCH 205 Aubrey, Jason
MATH 534B: Topology-Geometry
Point set topology, the fundamental group, calculus on manifolds. Homology, de Rham cohomology, other topics. Examples will be emphasized.

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Section Days Time Location Instructor
MATH 534B-001 Tu, Th 9:30am-10:45am MATH 501 Izosimov, Anton
MATH 536B: Algebraic Geometry
[Taught Spring semester in odd-numbered years] Affine and projective varieties, morphisms and rational maps. Dimension, degree and smoothness. Basic coherent sheaf theory and Cech cohomology. Line bundles, Riemann-Roch theorem.

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Section Days Time Location Instructor
MATH 536B-001 Tu, Th 12:30pm-1:45pm MTL 124 Hall, Jack
MATH 546: Theory of Numbers
[Taught Spring semester in odd-numbered years]. Divisibility properties of primes, congruences, quadratic residues, number-theoretic functions, primality, factoring, applications to crytopgraphy, introduction to algebraic numbers. Graduate-level requirements include more extensive problem sets or advanced projects.

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Section Days Time Location Instructor
MATH 546-001 Mo, We, Fr 12:00pm-12:50pm PAS 318 Booher, Jeremy
MATH 547: 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. Graduate-level requirements include more extensive problem sets or advanced projects.

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Section Days Time Location Instructor
MATH 547-001 Mo, We, Fr 2:00pm-2:50pm PAS 414 Rychlik, Marek R
MATH 556: Applied Partial Differential Equations
Properties of partial differential equations and techniques for their solution: Fourier methods, Green's functions, numerical methods. Graduate-level requirements include more extensive problem sets or advanced projects.

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Section Days Time Location Instructor
MATH 556-001 Mo, We, Fr 11:00am-11:50am PAS 414 Carter, Paul
MATH 556-002 Mo, We, Fr 1:00pm-1:50pm PSYCH 308 Glasner, Karl B
MATH 559B: Lie Groups and Lie Algebras
[Taught Spring semester in odd-numbered years]. Correspondence between Lie groups and Lie algebras, structure and representation theory, applications to topology and geometry of homogeneous spaces, applications to harmonic analysis.

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Section Days Time Location Instructor
MATH 559B-001 Tu, Th 2:00pm-3:15pm MATH 514 Cherkis, Sergey
MATH 565A: Stochastic Processes
[Taught Spring semester in odd-numbered years]. Stochastic Processes in continuous time: Levy processes, Martingales, Markov processes, introduction to stochastic integrals.

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Section Days Time Location Instructor
MATH 565A-001 Tu, Th 11:00am-12:15pm MTL 124 Wehr, Jan
MATH 566: 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 566-001 Tu, Th 8:00am-9:15am BIO W 237 Zhang, Hao Helen
MATH 568: Applied Stochastic Processes
Applications of Gaussian and Markov processes and renewal theory; Wiener and Poisson processes, queues. Graduate-level requirements include more extensive problem sets or advanced projects.

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Section Days Time Location Instructor
MATH 568-001 Tu, Th 2:00pm-3:15pm PAS 414 Xue, Jianfei
MATH 571B: Design of Experiments
Principles of designing experiments. Randomization, block designs, factorial experiments, response surface designs, repeated measures, analysis of contrasts, multiple comparisons, analysis of variance and covariance, variance components analysis.

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Section Days Time Location Instructor
MATH 571B-001 Mo, We 9:00am-10:15am SHNTZ 440 An, Lingling
MATH 574M: Statistical Machine Learning
Basic statistical principles and theory for modern machine learning, high dimensional data analysis, parametric and nonparametric methods, sparse analysis, shrinkage methods, variable selection, model assessment, model averaging, kernel methods, and unsupervised learning.

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Section Days Time Location Instructor
MATH 574M-001 Tu, Th 9:30am-10:45am BIO W 210 Zhang, Hao Helen
MATH 575B: Numerical Analysis
Error analysis, solution of linear systems and nonlinear equations, eigenvalue interpolation and approximation, numerical integration, initial and boundary value problems for ordinary differential equations, optimization.

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Section Days Time Location Instructor
MATH 575B-001 Tu, Th 11:00am-12:15pm MATH 501 Indik, Rob
MATH 576B: Numerical Analysis PDE
[Taught Spring semester in odd-numbered years] Well-posedness, numerical boundary conditions, nonlinear instability, time-split algorithms, special methods for stiff and singular problems.

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Section Days Time Location Instructor
MATH 576B-001 Mo, We, Fr 1:00pm-1:50pm MATH 101 Brio, Moysey
MATH 576B-001 We 1:30pm-4:30pm MATH 101 Brio, Moysey
MATH 577: Topics in Applied Mathematics
Advanced topics in asymptotics, numerical analysis, approximation theory, mathematical theory of mechanics, dynamical systems, differential equations and inequalities, mathematical theory of statistics; content varies.

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Section Days Time Location Instructor
MATH 577-001 We, Fr 12:00pm-1:15pm NA - Lin, Kevin
MATH 583B: Principles and Methods of Applied Mathematics
Boundary value problems; Green's functions, distributions, Fourier transforms, the classical partial differential equations (Laplace, heat, wave) of mathematical physics. Linear operators, spectral theory, integral equations, Fredholm theory.

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Section Days Time Location Instructor
MATH 583B-001 Tu, Th 2:00pm-3:15pm MATH 501 Stepanov, Mikhail
MATH 585: Mathematical Modeling
Development, analysis, and evaluation of mathematical models for physical, biological, social, and technical problems; both analytical and numerical solution techniques are required. Graduate-level requirements include more advanced projects.

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Section Days Time Location Instructor
MATH 585-001 Tu, Th 11:00am-12:15pm PSYCH 204 Wang, Qiu-dong
MATH 586: Case Studies in Applied Mathematics
In-depth treatment of several contemporary problems or problem areas from a variety of fields, but all involving mathematical modeling and analysis; content varies.

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Section Days Time Location Instructor
MATH 586-001 We 4:00pm-5:15pm
MATH 587: Perturbation Methods in Applied Mathematics
[Taught Spring semester in odd-numbered years]. Regular and singular perturbations, boundary layer theory, multiscale and averaging methods for nonlinear waves and oscillators.

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Section Days Time Location Instructor
MATH 587-001 Tu, Th 5:00pm-6:15pm BIO W 237 Glasner, Karl B
MATH 588: Topics in Mathematical Physics
Advanced topics in field theories, mathematical theory of quantum mechanics, mathematical theory of statistical mechanics; content varies. Graduate-level requirements include additional assignments and/or projects.

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Section Days Time Location Instructor
MATH 588-001 Tu, Th 2:00pm-3:15pm M LNG 310 Zakharov, Vladimir E
MATH 595A: Math Instruction
The exchange of scholarly information and/or secondary research, usually in a small group setting. Instruction often includes lectures by several different persons. Research projects may or may not be required of course registrants.

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Section Days Time Location Instructor
MATH 595A-001 Tu 4:00pm-5:15pm
MATH 596A: Topics in Mathematics
The development and exchange of scholarly information, usually in a small group setting. The scope of work shall consist of research by course registrants, with the exchange of the results of such research through discussion, reports, and/or papers.

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Section Days Time Location Instructor
MATH 596A-001 Tu 4:00pm-5:00pm MATH 501 Watkins, Joseph C
MATH 596G: Research Tutorial Group
Introduction to research interests of the faculty. Required in Spring of first year in Ph.D. program in Mathematics and in the following Fall. Content varies.

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Section Days Time Location Instructor
MATH 596G-002 We 4:00pm-4:50pm
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