Department of Mathematics, Physics, and Statistics
Mission Statement
The Department of Mathematics, Physics, and Statistics at Azusa Pacific University:
 Offers undergraduate programs in mathematics, applied mathematics, physics, and statistics, as well as a single subject waiver for a teaching credential in mathematics;
 Provides General Education mathematics and science courses consistent with the outcomes of a liberal arts education;
 Prepares students for graduate study or success in their chosen careers; and
 Offers a Master of Science in Applied Statistics and Data Science degree program.
Math and Physics Fellowships
Each year, the Department of Mathematics, Physics, and Statistics awards fellowships to a select number of incoming and returning students. For more information, contact the department at (626) 8156470 or mathphysics@apu.edu.
Majors
 Applied Mathematics (BS)
 Mathematics (BA)
 Mathematics (BA) with Integrated Single Subject (Math) Teaching Credential
 Mathematics (BS)
 Physics (BS)
Minors
Master’s
Mathematics Placement
APU uses the ALEKS PPL system to determine the best initial math placement for most students who need to take a math course (whether to satisfy the General Education Quantitative Literacy requirement or a major or minor requirement). Students who need to use ALEKS are encouraged to take an initial diagnostic assessment at home and then to work in their personalized Prep and Learning Module to review. They will then be able to take the assessment again (up to four times total) in order to achieve their best possible score.
Math Course Prerequisites
Prerequisites for common math courses are as follows:
Course(s)  Prerequisite(s) 

MATH 90: Foundations of Mathematical Reasoning  ALEKS 1529 
MATH 95: Intermediate Algebra  ALEKS 3044 or MATH 90 
MATH 99: SelfPaced Mathematics Lab  ALEKS 029 
MATH 115: Mathematics in Society MATH 130: Introduction to Statistics  ALEKS 30100 or MATH 90 
MATH 110: College Algebra UNRS 299: Statistics and Data Management for Nursing and Health Care  ALEKS 45100 or MATH 95 
MATH 149: Fundamentals of Precalculus MATH 150: Precalculus  ALEKS 60100 or MATH 110 
MATH 151: Applied Calculus I  ALEKS 65100 or B or better in MATH 110 
MATH 165: Calculus I  ALEKS 75100 or MATH 149 (which may be taken concurrently) or MATH 150 
Math Test Score Equivalents
The table below shows how various test scores translate into APU math placement and/or course credit:
Scores  Results 


Treated as if you have passed MATH 110 College Algebra at the level of B or higher 

Treated as if you have passed MATH 110 College Algebra at the level of B or higher; credit granted 

Credit granted for MATH 130 Introduction to Statistics 

Treated as if you have passed MATH 110 College Algebra at the level of a B or higher 

Treated as if you have passed MATH 110 College Algebra at the level of C or higher (fails to meet the grade minimum of B required as a prerequisite for CHEM 151 or to apply to any of the majors in the School of Business and Management other than the BA in Business Management) 
MATH 90, Foundations of Mathematical Reasoning, 3 Units
This course prepares students for MATH 95 Intermediate Algebra, MATH 115 Mathematics in Society, or MATH 130 Introduction to Statistics. Topics include proportional reasoning; financial decision making; chance, risk, and probability; and algebraic modeling. Students practice reading, analyzing, and writing about quantitative texts; using spreadsheets to make efficient calculations; and solving algebraic equations to make predictions and decisions. This course does not meet the General Education Quantitative Literacy requirement and does not count toward total units needed for graduation.
Prerequisite: An appropriate score on the APU mathematics placement assessment.
MATH 95, Intermediate Algebra, 3 Units
This course prepares students for the General Education Quantitative Literacy courses. Topics include linear graphs, mathematical models, systems of equations in two and three variables, multiplying and factoring polynomial functions, rational and radical expressions and functions, complex numbers, quadratic equations, and mathematical modeling with quadratic functions. This course does not meet the General Education Quantitative Literacy requirement and does not count toward total units needed for graduation.
Prerequisite: MATH 90 or an appropriate score on the APU mathematics placement assessment
MATH 99, Selfpaced Mathematics Lab, 1 Unit
This course is an alternative to MATH 90 for students who prefer an individualized developmental math experience. An adaptive online learning system enables students to skip topics they have already mastered and work at their own pace on the topics they need to learn, with support from a faculty member. The goal is to help students test out of MATH 90 in order to accelerate their path toward a General Education Quantitative Literacy course. This course does not meet the General Education Quantitative Literacy requirement and does not count toward total units needed for graduation.
Prerequisite: ALEKS math placement score of 029 (or no ALEKS score).
MATH 110, College Algebra, 3 Units
This course offers a study of basic college algebra, including various elementary functions (linear, polynomial, rational, radical, exponential, and logarithmic), their properties and graphs, and equations and systems of equations. Emphasis is on using algebraic concepts to model and analyze realworld phenomena. Meets the General Education Requirement: Quantitative Literacy (Math).
Prerequisite: MATH 95 or an appropriate score on the APU mathematics placement assessment.
MATH 115, Mathematics in Society, 3 Units
This course helps students make sense of quantitative information commonly encountered in everyday life in society. Students use mathematical methods and spreadsheets to analyze data from real newspaper articles in order to deepen their understanding of societal issues and personal financial management. Mathematical topics include estimation, unit conversions, percentages, indices, weighted averages, statistical summaries, linear and exponential models, and probabilities. These tools are used to analyze issues such as carbon footprints, crime rates, currency conversions, taxes, minimum wages, inflation, gradepoint averages, salary distributions, electricity bills, climate change predictions, interest and depreciation, gambling, insurance, screening for diseases, and DNA evidence. Meets the General Education Requirement: Quantitative Literacy (Math).
Prerequisite: MATH 90 or an appropriate score on the APU mathematics placement assessment.
MATH 130, Introduction to Statistics, 3 Units
This course is an introduction to the basic concepts and practices of statistics, including frequency distributions; graphs; central tendency; variation; probability; binomial, normal, t, and chisquare distributions; confidence intervals; hypothesis testing; correlation; regression; and ANOVA. Meets the General Education Requirement: Quantitative Literacy (Math).
Prerequisite: MATH 90 or an appropriate score on the APU mathematics placement assessment.
MATH 149, Fundamentals of Precalculus, 1 Unit
This course is a condensed alternative to MATH 150 designed for biology, biochemistry, and chemistry majors. Topics include circle trigonometry and sinusoidal functions, righttriangle trigonometry, and trigonometric equations and identities, as well as a brief review of exponential and logarithmic equations.
Prerequisite: MATH 110 or an appropriate score on the APU mathematics placement assessment. Only students with a declared major or interest in biology, biochemistry, or chemistry are permitted to register for this class.
MATH 150, Precalculus, 3 Units
This course prepares students for the calculus sequence. Topics include number systems, analytic geometry, elementary function theory (including logarithmic and trigonometric functions), and basic proof techniques.
Prerequisite: MATH 110 or an appropriate score on the APU mathematics placement assessment
MATH 151, Applied Calculus I, 3 Units
This course is an introduction to the calculus of a single variable, with a focus on applications. Topics include elementary functions (linear, exponential, logarithmic, power, and periodic), differentiation, and optimization.
Prerequisite: B or better in MATH 110, or an appropriate score on the APU mathematics placement assessment.
MATH 165, Calculus I, 3 Units
Students in this course learn the theory and applications of the derivative, a mathematical tool used to calculate instantaneous rates of change. Topics include limits, continuity, interpretation and computation of derivatives, shapes of graphs, optimization, related rates, and parametric equations.
Prerequisite: MATH 150 or an appropriate score on the APU mathematics placement assessment or MATH 149 (May be taken concurrently)
MATH 166, Calculus II, 3 Units
Students in this course learn the theory and applications of the integral, a mathematical tool used to calculate the net change in a quantity over time. Topics include the definite integral, antiderivatives, the Fundamental Theorem of Calculus, integration techniques and applications, area and volume, arc length and surface area, and polar coordinates. The course concludes with a brief introduction to differential equations.
Prerequisite: C or better in MATH 165
MATH 167, Sequences and Series, 1 Unit
This course introduces the powerful method of representing a function as a "polynomial of infinite degree." Topics include sequences and series, tests for convergence, power series, intervals of convergence, Taylor series, and applications.
Prerequisite: MATH 166 (May be taken concurrently)
MATH 199, Calculus Fundamentals for Statistics, 1 Unit
This course introduces fundamental topics in calculus required for understanding statistical theory and methods, including the interpretation of derivatives and integrals, rules for singlevariable differentiation and integration, applications to optimization, moments and areas, and basic multivariable differentiation and integration.
Prerequisite: Acceptance into M.S. in Applied Statistics and Analytics program.
MATH 201, Mathematics Concepts for Elementary Teachers, 3 Units
The course provides the foundations of modern mathematics needed by the elementary school teacher. It is not a methods course, but a prerequisite to the MultipleSubject Teaching Credential Program. This course does not count toward a mathematics major or minor.
Prerequisite: MATH 110 or equivalent
MATH 250, Data Analysis, 3 Units
This course features handson experience using statistical tools to answer realworld questions. Emphasis is on analysis of actual data using statistical software. Statistical topics include numerical/graphical summaries, measures of association, and statistical techniques including chisquare tests, ttests, ANOVA, and regression. Focus is on interpretation, not calculation.
MATH 268, Multivariable Calculus, 3 Units
Students in this course learn about the calculus of functions of several variables. Topics include surfaces and contour diagrams, vectors, partial and directional derivatives, optimization and Lagrange multipliers, and multiple integration in rectangular, polar, cylindrical, and spherical coordinate systems.
Prerequisite: C or better in MATH 166
MATH 269, Vector Calculus, 2 Units
Students in this course learn about the calculus of vector fields, leading to several higherdimensional versions of the Fundamental Theorem of Calculus. Topics include parametrized curves; vector fields and flow; line integrals, gradients, and pathindependence; Green's Theorem; divergence, flux integrals, and the Divergence Theorem; curl and Stokes' Theorem; and parametrized surfaces and change of coordinates.
Prerequisite: C or better in MATH 268
MATH 270, Ordinary Differential Equations, 4 Units
This course is an introduction to ordinary differential equations and their applications. Topics include first and secondorder equations, Laplace transform, systems of differential equations, phase plane analysis, and introduction to numerical methods.
MATH 280, Discrete Mathematics and Proof, 3 Units
This course is a rigorous introduction to discrete mathematics with an emphasis on problem solving and proof writing, preparing students to construct valid mathematical arguments in upperdivision courses. Topics include mathematical logic and set theory; direct and indirect proof; proofs with conjunctions, disjunctions, and quantifiers; relations; equivalence relations and partitions; functions and invertibility; and mathematical induction. Lecture, 3 hours; Discussion, 1 hour.
Prerequisite: MATH 165
MATH 290, Linear Algebra, 3 Units
An introduction to matrix algebra, vector spaces, and linear transformations. Topics include systems of linear equations, subspaces, linear independence, bases and dimension, abstract vector spaces, orthogonality, leastsquares methods, inner product spaces, determinants, eigenvalues, and diagonalization.
MATH 295, Applied Linear Algebra, 3 Units
This course is an introduction to the analysis of numerical computations in linear algebra, including solutions of linear systems, QR decomposition, computation of eigenvalues and eigenvectors, and singular value decomposition.
Prerequisite: MATH 166
MATH 299, Linear Algebra Fundamentals for Statistics, 1 Unit
This course introduces fundamental topics in linear algebra required for statistical courses, including linear and generalized linear models, vectors and matrices, basic matrix operations, methods to solve linear systems, LU/QR decomposition, singular value decomposition, and computation of eigenvalues and eigenvectors.
Prerequisite: Acceptance into M.S. in Applied Statistics and Analytics program.
MATH 301, Mathematics for Secondary Teachers, 3 Units
A survey of the foundations of mathematics essential to the secondary school teacher. This course integrates secondary mathematics concepts with problemsolving strategies and technology. Students expand on their understanding of core math concepts, evaluate lesson plans used in secondary school mathematics, discuss and reflect on effective mathematics pedagogy, analyze readings in the field, engage in collegial interactions with the instructor and fellow students, and develop a repertoire of classroomtested lessons that can be used in a high school classroom.
MATH 311, Teaching and Learning in STEM, 2 Units
Students in this course learn about the fundamentals of effective STEM teaching, including common challenges for STEM learners, active engagement strategies, assessment techniques, supporting diverse learners, designing assignments, and planning courses and lessons.
Prerequisite: BIOL 151, CHEM 151, CS 120, MATH 165, PHYC 151, PHYC 161, or equivalent
MATH 312, STEM Education Research Seminar, 1 Unit
Students identify challenges for effective STEM education that they observe during their experiences as STEM students and in STEM teaching support roles. Using readings drawn from the STEM education research literature, students identify and evaluate solutions to these challenges.
Prerequisite: BIOL 151, CHEM 151, CS 120, MATH 165, PHYC 151, PHYC 161, or instructor permission
MATH 313, STEM Teaching Practicum, 1 Unit
This course is intended for students serving in teaching support roles for STEM courses, including Learning Assistants, Teaching Assistants, and tutors. Students observe and reflect on effective STEM teaching practices and assist learners in engaging with and understanding course content.
Prerequisite: BIOL 151, CHEM 151, CS 120, MATH 165, PHYC 151, PHYC 161, or instructor permission
MATH 340, Geometry, 3 Units
This course is a study of Euclidean and hyperbolic geometries and their transformations and models. Students learn to write proofs within an axiomatic system and to form conjectures using interactive geometry software.
Prerequisite: MATH 166
MATH 350, Statistical Models, 3 Units
A study of investigative statistics emphasizing the process of data collection and data analysis relevant for science, social science, and mathematics students. The course incorporates case studies from current events and interdisciplinary research, taking a problembased approach to learn how to determine which statistical techniques are appropriate. Topics include nonparametric tests, designing an experiment, multiple regression models, and Bayesian data analysis. Ethics in data analysis and reporting will be considered from a Christian perspective. Additionally, the course includes learning to program using a statistical software package.
Prerequisite: MATH 250
MATH 361, Introduction to Modeling with Probability, 3 Units
This course is an introduction to probability models used in statistics and data analysis. Topics include basic axioms of probability, random variables, probability distributions, expected values, and probability distribution theory.
Prerequisite: MATH 166
MATH 362, Mathematical Statistics, 3 Units
This course is an introduction to descriptive and inferential statistics used in data analysis. Topics include random sampling, parameter estimation, hypothesis testing and goodness of fit, summarizing data, and comparing samples.
MATH 370, Partial Differential Equations, 3 Units
This course is an introduction to Fourier analysis and analytical techniques for solving partial differential equations, with application to physical phenomena.
Prerequisite: MATH 270
MATH 375, Dynamical Systems, 3 Units
An introduction to phase plane analysis of first order differential equations and to bifurcations in continuous and discrete systems, with application to various branches of science.
Prerequisite: MATH 270
MATH 390, Number Theory, 3 Units
A study of elementary number theory, with an overview of the history of mathematics. Number theory topics include primes, divisibility, factorization, Diophantine problems, residue systems, theorems of Fermat and Euler, and continued fractions.
Prerequisite: MATH 280
MATH 400, Abstract Algebra, 3 Units
An introduction to groups and rings. Group theory topics include subgroups, cyclic groups, permutation groups, cosets and normal subgroups, factor groups, and homomorphisms. Ring theory topics include subrings and ideals, integral domains and fields, factor rings, and homomorphisms.
Prerequisite: MATH 280 with a C or better
MATH 450, Real Analysis, 3 Units
This course is an advanced study of the real number system. Topics include completeness, convergence of sequences and series, topology of the real line, continuity, the Intermediate Value Theorem, differentiation, and the Mean Value Theorem.
MATH 451, Data Visualization, 3 Units
This course introduces students to the field of data visualization. Students learn basic visualization design and evaluation principles, and also how to acquire, parse, and analyze data sets using various data visualization software tools. Data types covered in the course include multivariate, temporal, textbased, geospatial, and network/graphbased.
Prerequisite: MATH 130
MATH 455, Numerical Analysis, 3 Units
Numerical and approximation methods are covered, including solutions of functions in single and multivariables, interpolation, numerical differentiation and integration, and numerical methods for differential equations. Applications are programmed using an appropriate language.
MATH 460, Topology, 3 Units
An introduction to topological spaces and their applications. Topics include bases, interior closure, subspace, product, and quotient topologies, continuity and homeomorphisms, metric spaces, connectedness, and compactness, with application to genetics, geography, robotics, and errorcorrecting codes. Additional topics chosen from homotopy theory, knot theory, and compact surfaces.
Prerequisite: MATH 450
MATH 470, Complex Analysis, 3 Units
This course is an introduction to the calculus of functions of one complex variable. Topics include elementary functions, limits, differentiability, series, contour integrals, Cauchy's theorem, conformal mapping, and selected applications.
MATH 480, Writing 3: Mathematical Reading, Writing, and Presentation, 3 Units
In this seminar course, students critically analyze journal articles in the field, receive writing instruction, write research and argumentative papers, and prepare effective mathematical presentations. Meets the General Education Requirement: Writing 3: Writing in the Disciplines.
Prerequisite: Junior or senior standing, Writing 2.
MATH 492, Ethics in Data Analytics, 2 Units
The availability and use of data has led to tremendous opportunities. Businesses mine data to gain a competitive advantage, and healthcare organizations use it to help improve medical decision making. The use of data, however, has led to potential abuses. This course explores ethical issues in big data analytics, including issues surrounding collection, use, and reporting of data, and considers them from a Christian worldview.
MATH 495, Advanced Topics in Mathematics, 13 Units
This course engages students in focused study of an advanced topic which is not covered in the regular curriculum. The topic varies from semester to semester based on student interest. Possible topics include differential geometry, combinatorics, mathematical modeling, advanced linear algebra, game theory, cryptology, etc. This course may be taken more than once as the topic changes.
Prerequisite: Prerequisite(s) will vary depending upon the topic.
MATH 496, Mathematics Senior Seminar, 3 Units
In this culminating mathematics seminar, students wrestle with an outwardfocused question  "How can I apply what I have learned in order to make a difference in the world?"  as well as an inwardfocused question  "How can I develop the strength of character that will sustain me in living a life of mission?" Through research and reflection, students develop personal vision for how they will deploy their mathematical skills to do God's work in the world. At the same time, students engage with readings, seminar discussions, and spiritual practices that support the longterm growth of character and virtue. Meets the General Education Requirement: Integrative and Applied Learning.
Prerequisite: MATH 250, MATH 480 (waived for Honors College students), and senior standing.
MATH 497, Readings, 14 Units
This is a program of study concentrating on assigned readings, discussions, and writing arranged between and designed by a student of upperdivision standing and a fulltime professor. An independent study fee is assessed for each enrollment in this class.
MATH 498, Directed Research, 14 Units
This course provides instruction in research design and technique, and gives students experience in the research process. The 1unit expectation encompasses no fewer than 30 hours of work with accompanying reading, log, writing, and seminar presentation within the department or in a university research symposium. No more than 1 unit may be used to fulfill preparatory readings requirement. An independent study fee is assessed for each enrollment in this class.
Prerequisite: Junior or Senior Standing
MATH 499, Thesis/Project, 14 Units
This is a seniorlevel "capstone" type of independent study/research experience, involving the student in a unique project with a sophisticated level of research, synthesis, analysis, and communication. The 1unit expectation encompasses no fewer than 30 hours of work with accompanying readings, log, instructor discussions, and writing of summary analysis and conclusions. The thesis or project may result in formal thesis, published article, or electronic media. No more than 1 unit may be used to fulfill preparatory readings requirement. An independent study fee is assessed for each enrollment in this class.
Prerequisite: Upperdivision writing intensive course or instructor consent; and junior or senior standing
PRMA 90, Foundations of Mathematical Reasoning, 3 Units
This course prepares students for Intermediate Algebra, Mathematics in Society, or Introduction to Statistics. Topics include proportional reasoning; experimental design; graphical, tabular, and numerical presentations of data; chance, risk, and probability; and algebraic modeling. Students practice displaying, summarizing, and analyzing data; computing and interpreting probabilities; and solving algebraic equations to make predictions and decisions. This course does not meet the General Education Quantitative Literacy requirement and does not count toward total units needed for graduation.
PRMA 110, College Algebra, 3 Units
This course offers a study of basic college algebra, including various elementary functions (linear, polynomial, rational, radical, exponential, and logarithmic), their properties and graphs, and equations and systems of equations. Emphasis is on using algebraic concepts to model and analyze realworld phenomena. Meets the General Education Requirement: Quantitative Literacy (Math).
Prerequisite: MATH 95 or an appropriate score on the APU mathematics placement assessment.
PRMA 130, Introduction to Statistics, 3 Units
This course is an introduction to the basic concepts and practices of statistics, including frequency distributions; graphs; central tendency; variation; probability; binomial, normal, t, and chisquare distributions; confidence intervals; hypothesis testing; correlation; regression; and ANOVA. Meets the General Education Requirement: Quantitative Literacy (Math).
Prerequisite: MATH 90 or an appropriate score on the APU mathematics placement assessment.
PHYC 112, Science and Technology for Everyday Applications, 4 Units
This course is a nonmathematical introduction to everyday science and technologies that have drastically changed the world and impacted modern life. Despite their apparent complexity, these technologies can be understood from basic physical principles. Students in this course also examine topics of current interest such as climate change, environmental stewardship, and scientific methods. This course does not carry credit toward a science major or minor. Meets the General Education Requirement: Natural Science, Civic Knowledge and Engagement.
Special Fee Applies
PHYC 115, Physical Science for Teachers, 3 Units
This course focuses on three fundamental concepts of physics: conservation of energy, Newton's laws, and waves. Students will engage in practices of science such as performing experiments, collecting and analyzing data, developing models, and writing and evaluating explanations. Students will also examine the nature of science and learning. Course content is aligned with content, practices, and crosscutting concepts of the Next Generation Science Standards. This course is intended for Liberal Studies majors and does not meet the APU General Education requirement in Natural Science.
PHYC 125, Earth Science Concepts and Applications, 3 Units
This course surveys Earth both inside and out. Topics investigated include Earth's solid surface and interior, the oceans, and Earth's atmosphere and weather patterns. Emphasis is placed on dynamic processes, including human activity that affects the nature of Earth's surface. Students also explore Earth's place in the solar system, the Sun, the stars, and exotic bodies beyond the solar system. Does not meet the APU General Education requirement in Nature.
PHYC 130, Earth Science, 4 Units
Students in this course survey the physical characteristics of the Earth and the forces acting upon it. Course material includes consideration of the Earth's place in space, the nature of its crust and interior, the processes that affect its structure, and humanity's role in the processes. Lecture, 3 hours; lab, 3 hours. Meets the General Education Requirement: Natural Science.
Special Fee Applies
PHYC 140, Introduction to Astronomy, 4 Units
Students survey astronomical structures such as the solar system, stars, galaxies, and the entire universe, including how these structures form and change over their life spans. Course material emphasizes historical understanding of astronomy and how astronomical knowledge is discovered and interpreted using scientific methods. Lecture, 3 hours; lab, 3 hours. Meets the General Education Requirement: Natural Science.
Special Fee Applies
PHYC 151, Physics for Life Sciences I, 4 Units
This noncalculus physics course develops the topics of translational and rotational mechanics and provides an introduction to thermodynamics. Lecture, 3 hours; lab, 3 hours. Meets the General Education Requirement: Natural Science.
Special Fee Applies
Prerequisite: MATH 110 or an equivalent score on the APU mathematics placement assessment. High school geometry and trigonometry are highly recommended.
PHYC 152, Physics for Life Sciences II, 4 Units
Lecture, 3 hours; Lab, 3 hours: This noncalculus physics course develops the topics of waves, sound, light, electricity and magnetism, quantum theory, and structure of matter.
Special Fee Applies
Prerequisite: PHYC 151
PHYC 161, Physics for Science and Engineering I, 5 Units
Students in this course are introduced to various areas of physics using basic differential and integral calculus. Topics include kinematics, Newton's laws, conservation of energy, conservation of momentum, and rotation. Lecture, 4 hours; lab, 3 hours. Meets the General Education Requirement: Natural Science.
Special Fee Applies
Corequisite: MATH 165 or equivalent calculus background; high school physics or universitylevel conceptual physics strongly recommended.
PHYC 162, Physics for Science and Engineering II, 5 Units
Students in this course are introduced to various areas of physics using basic differential and integral calculus. Topics include oscillations, electricity, and magnetism. Lecture, 4 hours; lab, 3 hours.
Special Fee Applies
Prerequisite: PHYC 161 and MATH 166 (may be taken concurrently)
PHYC 263, Physics for Science and Engineering III, 5 Units
Students in this course are introduced to various aspects of physics using basic differential and integral calculus. Topics covered include thermodynamics, special relativity, vibrations and waves, optics, and nuclear and modern physics. Lecture, 4 hours; lab, 3 hours.
Special Fee Applies
Prerequisite: PHYC 161
PHYC 300, Physics Research Seminar, 1 Unit
This course surveys the major fields of modern physics research in a seminar format, with special attention to how physicists identify research questions and plan for research. The course culminates in a research proposal for the student's thesis. Meets the General Education Requirement: Integrative and Applied Learning.
Prerequisite: PHYC 263
PHYC 311, Teaching and Learning in STEM, 2 Units
Students in this course learn about the fundamentals of effective STEM teaching, including common challenges for STEM learners, active engagement strategies, assessment techniques, supporting diverse learners, designing assignments, and planning courses and lessons.
Prerequisite: BIOL 151, CHEM 151, CS 120, MATH 165, PHYC 151, PHYC 161, or equivalent
PHYC 312, STEM Education Research Seminar, 1 Unit
Students identify challenges for effective STEM education that they observe during their experiences as STEM students and in STEM teaching support roles. Using readings drawn from the STEM education research literature, students identify and evaluate solutions to these challenges.
Prerequisite: BIOL 151, CHEM 151, CS 120, MATH 165, PHYC 151, PHYC 161, or instructor permission
PHYC 313, STEM Teaching Practicum, 1 Unit
This course is intended for students serving in teaching support roles for STEM courses, including Learning Assistants, Teaching Assistants, and tutors. Students observe and reflect on effective STEM teaching practices and assist learners in engaging with and understanding course content.
Prerequisite: BIOL 151, CHEM 151, CS 120, MATH 165, PHYC 151, PHYC 161, or instructor permission
PHYC 361, Electricity and Magnetism, 3 Units
Students in this course study the fundamental concepts of electricity and magnetism, electrostatic fields in a vacuum and dielectric materials, solutions of the Laplace and Poisson equations, and electromagnetic waves.
PHYC 370, Waves and Optics, 3 Units
Students in this course study mechanical and electromagnetic waves and explore topics such as geometric optics, wave propagation, interference, diffraction, polarization, coherence, and holography, as well as topics from nonlinear optics.
Prerequisite: PHYC 263, MATH 268, and MATH 270 (may be taken concurrently).
PHYC 380, Classical Mechanics, 4 Units
Students in this course apply mathematical methods commonly used in physics modeling and analysis to the study of particles experiencing linear and quadratic drag, momentum, energy, driven oscillations, central force motion, rigidbody rotation, and Lagrangian dynamics. The mathematical methods used include infinite series, complex numbers, linear algebra, curvilinear coordinates, vector calculus, Fourier analysis, partial differential equations, variational calculus, and numerical methods.
Prerequisite: PHYC 161, MATH 167, MATH 268, MATH 269, and MATH 270
PHYC 401, Thermodynamics, 3 Units
Students in this course learn the theoretical basis of classical thermodynamics and statistical mechanics including the zeroth, first, second, and third laws. These laws are applied to equilibrium systems such as ideal gases, heat engines, chemical reactions, and phase transitions.
Prerequisite: PHYC 263 and MATH 268 (may be taken concurrently)
PHYC 431, Computational Methods for Physics, 3 Units
Students in this course develop numerical modeling skills to solve representative problems in mechanics, quantum mechanics, thermal physics, and electromagnetism. The problems solved include multibody dynamics under gravity, Laplace's equation, the wave equation, the Ising model, the timeindependent Schrodinger equation, and molecular dynamics.
PHYC 440, Quantum Mechanics, 3 Units
Students are introduced to the timedependent and timeindependent Schrodinger equations. The Schrodinger equation is solved for examples including potential wells and barriers, harmonic oscillators, and hydrogen atoms. These examples illustrate the concepts of quantization of energy and angular momentum, tunneling, wave properties of particles, and the uncertainty principle.
PHYC 470, Writing 3: Advanced Laboratory, 3 Units
This course prepares students for writing scientific journal articles and presenting scientific results to a technical audience. This course also acquaints students with advanced laboratory and analysis techniques. Activities include instruction and practice in scientific writing and presenting scientific information orally. Meets the General Education Requirement: Writing 3: Writing in the Disciplines.
Special Fee Applies
Prerequisite: PHYC 263, Writing 2, and junior or senior standing or instructor's consent.
PHYC 497, Readings, 14 Units
This is a program of study concentrating on assigned readings, discussions, and writing arranged between and designed by a student of upperdivision standing and a fulltime professor. An independent study fee is assessed for each enrollment in this class.
PHYC 498, Directed Research, 14 Units
This course provides instruction in research design and technique, and gives students experience in the research process. The 1unit expectation encompasses no fewer than 30 hours of work with accompanying reading, log, writing, and seminar presentation within the department or in a university research symposium. No more than 1 unit may be used to fulfill preparatory readings requirement. An independent study fee is assessed for each enrollment in this class.
Prerequisite: Junior or Senior Standing
PHYC 499, Physics Thesis, 14 Units
Students engage in original research projects in collaboration with a faculty member. Projects may be experimental, theoretical, or computational in nature, and projects expand upon learning from previous courses in the major and apply that learning to make a novel contribution to the field. Successful completion of the course results in completion of a journalstyle article and/or professionallevel poster presentation. Meets the General Education Requirement: Integrative and Applied Learning.
Prerequisite: PHYC 300
PRPY 110, Principles of Physical Science, 3 Units
Basic concepts in physics, chemistry, and the solar system are investigated. Emphasis is placed on basic principles and their applications to modern technology and everyday experiences. Some problems requiring simple math are discussed and solved, but detailed mathematical derivations are more appropriate in other courses. Part of this course is also committed to reviewing historical developments of scientific thought, examining the perceived conflict between science and Christianity, and analyzing evidence for a Creator from scientific discoveries. This course does not carry credit toward a science major or minor. Meets the General Education Requirement: Natural Science (PHYC 110 + PHYC 111).
PRPY 112, Science and Technology for Everyday Applications, 4 Units
This course is a nonmathematical introduction to everyday science and technologies that have drastically changed the world and impacted modern life. Despite their apparent complexity, these technologies can be understood from basic physical principles. Students in this course also examine topics of current interest such as climate change, environmental stewardship, and scientific methods. This course does not carry credit toward a science major or minor. Meets the General Education Requirement: Natural Science, Civic Knowledge and Engagement.
Special Fee Applies
PRPY 125, Earth Science Concepts and Applications, 3 Units
This course surveys Earth both inside and out. Topics investigated include Earth's solid surface and interior, the oceans, and Earth's atmosphere and weather patterns. Emphasis is placed on dynamic processes, including human activity that affects the nature of Earth's surface. Students also explore Earth's place in the solar system, the Sun, the stars, and exotic bodies beyond the solar system. Does not meet the APU General Education requirement in Nature.
PRPY 140, Introduction to Astronomy, 4 Units
This course introduces the history of astronomy, the solar system, the stellar systems, galactic systems, and cosmology. A lab is included. Lecture, 3 hours; lab, 3 hours. Meets the General Education Requirement: Natural Science.
Special Fee Applies
STAT 501, Introduction to Modeling with Probability, 3 Units
This course is an introduction to probability models used in statistics and data analysis. Topics include basic axioms of probability, random variables, probability distributions, expected values, and probability distribution theory.
Prerequisite: Calculus (multivariable preferred) and linear algebra; students who are lacking in one area or the other may satisfy the prerequisite by passing MATH 199 and/or MATH 299.
STAT 502, Mathematical Statistics, 3 Units
This course offers an introduction to descriptive and inferential statistics used in data analysis. Topics include random sampling, parameter estimation, hypothesis testing and goodness of fit, summarizing data, and comparing samples.
Prerequisite: STAT 501
STAT 511, Applied Regression Analysis, 3 Units
This course is an introduction to simple and multiple linear regression models. Topics include parameter estimation, diagnostics, model selection, prediction, and models with categorical predictors.
Prerequisite: STAT 501;
Corequisite: STAT 502
STAT 512, Analysis of Variance and Design of Experiments, 3 Units
This course offers an introduction to designing and analyzing data using experiments. Basic experimental designs are covered, including block, factorial, and fractional factorial. Analysis of Variance (ANOVA) models and their assumptions, estimation, and interpretation are introduced. Statistical software is used for all analysis.
Prerequisite: STAT 501;
STAT 521, Statistical Computing and Programming, 3 Units
Students in this course gain basic familiarity with SAS and R programming for data management and analysis. The course takes place in a computer lab, enabling students to implement the lecture material as it is presented. Assignments require using SAS and R to perform data management techniques, generate descriptive statistics and graphical representations of data, and apply statistical methods available in software.
Prerequisite: MATH 361 or equivalent
STAT 541, Epidemiology Research Methods, 3 Units
The purpose of this course is to equip students with the basic concepts and principles of epidemiology, a discipline that identifies the determinants of disease in human populations and assesses the magnitude of public health problems and the success of interventions designed to control them. Students learn about various epidemiologic study designs and their strengths and limitations, the basic mathematical tools needed in epidemiology, the collection of epidemiologic data, and the criteria of causality. Also, the course addresses the biases that may invalidate epidemiologic studies, and considers ethical concerns in epidemiology from a Christian faith perspective.
STAT 542, Applied Logistic Regression and Survival Analysis, 3 Units
This course offers an introduction to methods for analyzing binary outcome and timetoevent data, with the primary focus on how to analyze such data using methods available in standard statistical software packages. Topics include logistic regression estimation, interpretation, and assessment. For timetoevent data, summary statistics for censored data, nonparametric methods (specifically KaplanMeier), and semiparametric regression methods centered on the Cox model are introduced.
STAT 543, Applied Longitudinal Data Analysis, 3 Units
This course focuses on classical and modern approaches to analyzing continuous and discrete longitudinal data. Topics include exploratory analysis of correlated data, random effects models, Generalized Estimating Equations (GEE), and analysis of discrete longitudinal data. Emphasis is on estimation using statistical software and model interpretation.
STAT 551, Data Visualization, 3 Units
This course introduces students to the field of data visualization. Students learn basic visualization design and evaluation principles, and also how to acquire, parse, and analyze data sets using various data visualization software tools. Data types included in the course include multivariate, temporal, textbased, geospatial, and network/graphbased.
Prerequisite: B or better in MATH 295 and MATH 361, or admission to graduate school.
STAT 552, Time Series Analysis and Forecasting, 3 Units
In this course, students develop a working knowledge of time series analysis and forecasting methods, with a focus on applications. Topics include descriptive analysis, probability models for time series, fitting and forecasting for time series models, bootstrapping, models for nonstationary series, and an introduction to spectral analysis.
STAT 553, Data Mining, 3 Units
Data mining focuses on algorithms and computational paradigms that allow computers to find patterns and regularities in data in order to perform prediction or find structure and relationships to help improve decision making. This course covers basic methodology, major software tools, and applications in data mining. Students learn conceptual underpinnings of methods in data mining while focusing more on usage of existing software packages than developing the algorithms. In particular, the course covers the methodology, motivation, assumptions, strengths, and weaknesses of the most widely applicable methods in the field.
STAT 571, Applied Multivariate Analysis, 3 Units
This course introduces a variety of standard statistical methods used to analyze multivariate data, emphasizing the implementation and interpretations of the methods. Topics covered include matrix computation of summary statistics, graphical techniques, the geometry of sample data, the multivariate normal distribution, principal components analysis, factor analysis, classification and discrimination, and cluster analysis.
STAT 572, Applied Bayesian Analysis, 3 Units
This course provides a practical introduction to Bayesian data analysis. Students are exposed to a variety of Bayesian models, including the Bayesian linear model and Bayesian hierarchical modeling as a strategy for modeling complex processes and as a means of assimilating a variety of sources of data. Models are fit for various types of data using modern simulation techniques in statistical software. The focus of the course is modeling, assessing model appropriateness, and interpretation.
STAT 573, Applied Nonparametric Statistics, 3 Units
This course provides an overview of nonparametric statistics, helping students learn the difference between parametric and nonparametric statistics and when each is appropriate. This course includes the basic theory and computing tools to perform traditional rankbased nonparametric tests, and advanced topics include nonparametric density estimation, nonparametric regression, and the bootstrap.
STAT 574, Discrete Data Analysis, 3 Units
This course covers basic methods for analysis of discrete data, including methods for analyzing and describing discrete data in contingency tables, and statistical models for discrete outcomes that are binary, counts, nominal, and ordinal. Emphasis is on using statistical software to fit models to data, assessing the appropriateness, and interpreting the results in context.
STAT 575, Applied Survey Sampling, 3 Units
This course covers sampling design and analysis methods useful for research and management in many fields. Students learn about the basic methods of sampling and estimation and then explore selected designs and recent developments. Topics include simple random sampling with associated estimation and confidence interval methods, selecting sample sizes, estimating proportions, unequal probability sampling, ratio and regression estimation, stratified sampling, cluster, systematic sampling, multistage designs, and double sampling.
STAT 592, Ethics in Data Analytics, 2 Units
The availability and use of data has led to tremendous opportunities. Businesses mine data to gain a competitive advantage, and healthcare organizations use it to help improve medical decision making. The use of data, however, has led to potential abuses. This course explores ethical issues in big data analytics, including issues surrounding collection, use, and reporting of data, and considers them from a Christian worldview.
STAT 595, Special Topics in Applied Statistics, 3 Units
This course presents coverage of topics in applied statistics.
Prerequisite: Based upon the topic offered.
STAT 596, Practicum, 01 Units
In this course  the practicum course of the Master of Science in Applied Statistics and Analytics program  students collaborate with professionals in academic or industry organizations to develop professional experience.
Prerequisite: Instructor permission required
STAT 597, Statistical Consulting Practicum, 4 Units
Students in this course investigate the role of the statistician as consultant and collaborator. Topics include problem solving and communication skills (oral and written), structuring working engagements with nonstatisticians and collaborators, and skills specific to statistical consulting. Case studies or ongoing projects are used to provide handson consulting experience. Students identify, and produce their proposal for, their culminating project during this course.
STAT 598, Culminating Project, 4 Units
This is the capstone course of the Master of Science in Applied Statistics and Analytics program. It is open to secondyear students in good standing. Students provide an oral presentation and a written report of the project.
Prerequisite: STAT 597
STAT 599, Independent Study, 13 Units
Faculty
Chair
Bradley McCoy, PhD, Physics
Program Director, MS in Applied Statistics and Data Science
Soeun Kim, PhD, Statistics
Professors
Mark Arvidson, PhD, Mathematics
Enson Chang, PhD, Physics
Bryant Mathews, PhD, Mathematics
Bradley McCoy, PhD, Physics
Associate Professors
Edwin Ding, PhD, Mathematics
Soeun Kim, PhD, Statistics
Sharon McCathern, PhD, Mathematics
Sándor VolkánKacsó, PhD, Physics
Assistant Professor
Kaitlyn Fitzgerald, PhD, Mathematics
Adjunct Faculty
Brian Croissant, MS
Daniel Hogue, MS
Derek Morrison, MA
Steven Moser, MS
Danielle Nazaroff, MA
Amanda Sinner, MA
Molly Swanson, MA
Alyssa Thornton, BS
Jeffrey Zweerink, PhD