Major Courses

 

Lower Division Requirements

Basic concepts of analytical geometry, limits and derivatives, differentials and rates, integration, definite and indefinite integrals, differentiation of logarithmic and exponential functions. Prerequisites: MAT 135, 145, EGR 182, or sufficient SAT, ACT or math placement exam scores and appropriate high school mathematics background. (4 units; Fall/Spring)

InstructorStart DateDaysTimeLocation
MAT245-A
Curry, Brad
01/08/2024 MWF 8:15 AM - 9:15 AM Yeager Center ONLN
MAT245-B
Curry, Brad
01/08/2024 MWF 9:30 AM - 10:30 AM Yeager Center ONLN
MAT245-A
Willett, Robert James
05/06/2024 - Online
MAT245-A
Curry, Brad
09/03/2024 MWF 8:15 AM - 9:15 AM TBA ONLN
MAT245-B
Curry, Brad
09/03/2024 MWF 9:30 AM - 10:30 AM TBA ONLN
MAT245-A
Curry, Brad
01/13/2025 MWF 8:15 AM - 9:15 AM BUS ONLN
MAT245-B
Curry, Brad
01/13/2025 MWF 9:30 AM - 10:30 AM BUS ONLN

A course emphasizing the empirical and scientific approaches to disciplines involved in statistical and data analytics sciences. Students learn the historical foundation of each departmental program area. Students will also familiarize themselves with the perspectives and specialties of our department faculty while systematically and critically reviewing the expanding roles of data-centric sciences. The course focuses on teaching, writing, developing a future internship, exploring potential graduate work, and engaging in professional associations from a Christian worldview. Note: This course is designed to introduce students in statistics-related majors (Applied Statistical Analysis, Statistics and Data Analytics, Actuarial Science, Sports Analytics, etc.) to the discipline. It is not designed as a major or general education course in statistics and does not fulfill the ‘introduction to statistics’ requirement for any major. Pass/Fail. (1 unit; Fall)

InstructorStart DateDaysTimeLocation
STA101-A
Willett, Robert James
09/03/2024 W 2:30 PM - 3:30 PM TBA

Mathematical theory and applications, development of formulae, principles of statistical decision theory, descriptive measurements, probability concepts, random variables, normal distribution, inferential statistics, sampling distributions, confidence intervals, hypothesis testing, chi-squared procedures, linear regression, and the use of computers in statistics. (3 units; Fall, Spring, & Online)

InstructorStart DateDaysTimeLocation
STA144-A
Carothers, Linn E.
01/08/2024 MWF 12:00 PM - 1:00 PM BUS 252
STA144-B
Carothers, Linn E.
01/08/2024 MWF 1:15 PM - 2:15 PM BUS 203
STA144-A
Carothers, Linn E.
05/06/2024 - Online
STA144-B
Carothers, Linn E.
07/01/2024 - Online
STA144-C
Nielsen Hernandez, Michelle
09/03/2024 MWF 9:30 AM - 10:30 AM TBA
STA144-B
Carothers, Linn E.
09/03/2024 MWF 1:15 PM - 2:15 PM TBA
STA144-A
Carothers, Linn E.
09/03/2024 MWF 12:00 PM - 1:00 PM TBA
STA144-A
Carothers, Linn E.
01/13/2025 MWF 12:00 PM - 1:00 PM TBA
STA144-B
Carothers, Linn E.
01/13/2025 MWF 1:15 PM - 2:15 PM BUS 203

This course represents a basic concepts and methodology course in regression analysis using application of general linear regression models to real-life situations. Case studies are used to give practice in diagnosing practical problems, deciding on appropriate models, and knowing which inferential technique will answer the researcher’s questions for the purposes of description and prediction. Regression models and model building typical of problems used in the social and behavioral sciences, the natural and health sciences, and many other disciplines are covered. Prerequisite: STA 144. (3 units; Spring, even years)

InstructorStart DateDaysTimeLocation
STA205-A
Noh, Heewon Esther_AKA:_Esther_L
01/08/2024 TTh 10:30 AM - 12:00 PM Yeager Center B259

An introduction to data mining, management and statistical programming techniques using comprehensive and widely available tools like SAGE, SPSS, SAS and R. Students learn exploratory data analysis, coding and manipulation of variables, database management applying statistical concepts. Modeling and simulation experiments on a variety of applied data sets. Pre- or Co- Requisite: STA 144. (3 units; Fall)

InstructorStart DateDaysTimeLocation
STA210-A
Noh, Heewon Esther_AKA:_Esther_L
09/03/2024 MWF 10:45 AM - 11:45 AM TBA

A continuation of Statistical Computing I using comprehensive and widely available tools like SAGE, SPSS, SAS and R. Advanced techniques will be covered including (but not limited to) numerical linear algebra, optimization and nonlinear equations, the EM algorithm, Laplace approximations, quadrature methods, simulation methodology, sampling, Monte Carlo and bootstrap methods. Prerequisite; STA 210. (3 units; Spring)

InstructorStart DateDaysTimeLocation
STA211-A
Noh, Heewon Esther_AKA:_Esther_L
01/08/2024 TTh 12:15 PM - 1:45 PM James Complex 375
STA211-A
Noh, Heewon Esther_AKA:_Esther_L
01/13/2025 MWF 10:45 AM - 11:45 AM Yeager Center B113

 

Upper Division Requirements

This course studies experimental designs with corresponding models and analyses critical for students in the empirical sciences. Course topics include estimation, test of hypothesis, analysis of variance and a variety of topics in experimental design. Decisions and practical considerations which minimize experimental error and avoid confounding results are dealt with in real life contexts. Prerequisite: STA 144. (3 units; Fall, odd years)

InstructorStart DateDaysTimeLocation

Sampling theory and practice are presented in this course through a study of simple random samples, stratified random samples, cluster sampling, estimating sample size, ratio estimates, subsampling, two-state sampling and analysis of sampling error. This is a critical course for students in education and the social, medical, biological and management sciences where sampling is a fundamental step in virtually every statistical procedure and critical to meaningful survey research. Prerequisite: STA 144. (3 units; Fall, even years)

InstructorStart DateDaysTimeLocation
STA305-A
Noh, Heewon Esther_AKA:_Esther_L
09/03/2024 TTh 8:45 AM - 10:15 AM TBA

The first semester of a two-semester course providing a systematic development of the theories of probability and statistics. Students learn and use fundamental concepts of probability models, random variables and their distributions, reduction of data, estimation, testing of hypotheses, univariate normal inference, and statistical decision theory. The first semester is required for BA and BS statistics majors of all concentrations. Prerequisites: MAT 245, and one of the following: CIS 268, EGR 121, or STA 144. (3 units; Fall)

InstructorStart DateDaysTimeLocation
STA310-A
Noh, Heewon Esther_AKA:_Esther_L
09/03/2024 TTh 12:15 PM - 1:45 PM BUS 125

Second semester course in a systematic development of the theories of probability and statistics. Topics include analysis of categorical data, multivariate distributions, nonparametric inference, linear models and analysis of variance. As time permits, the theory underlying Markov chain, Monte Carlo, quasi-likelihood, empirical likelihood, statistical functionals, generalized estimating equations, the jackknife, and the bootstrap are addressed. Prerequisite: STA 310. (3 units; Spring)

InstructorStart DateDaysTimeLocation
STA311-A
Noh, Heewon Esther_AKA:_Esther_L
01/13/2025 TTh 12:15 PM - 1:45 PM James Complex 375

The focus of this class is an idependent research project that the student undertakes under the direction of a faculty member who acts as a research advisor. Content varies from year to year and is determined by both the intructor's and student's interests. May be repeated for credit. Prerequisite: Permission of the department chair. (1-4 units; As offered)

InstructorStart DateDaysTimeLocation

The course is designed to be a culminating experience for senior students. The course gives students through writing, seminar and conference participation, an opportunity to demonstrate their skill and proficiency in the field of statistics. In some cases, this may be coupled with internships. Prerequisite: Permission of Department Chair. (1-3 units; Spring)

InstructorStart DateDaysTimeLocation
STA499-A
Noh, Heewon Esther_AKA:_Esther_L
01/08/2024 MWF 12:00 PM - 1:00 PM Instructor OFFC
STA499-B
Carothers, Linn E.
01/13/2025 - Instructor OFFC
STA499-A
Noh, Heewon Esther_AKA:_Esther_L
01/13/2025 MWF 12:00 PM - 1:00 PM Instructor OFFC

  

Concentration Courses (18-20 units)

 

Students must complete all requirements in one of the following concentrations listed below:

  • Mathematical Data Analytics
  • Quantitative Business Methods

 

Mathematical Data Analytics (20 units)

Continued study and applications of integration: volumes, lengths, surface of revolution; derivatives and integrals involving trigonometric functions, infinite series, expansion of functions, hyperbolic functions, law of the mean, partial fractions, polar coordinates, and conic sections. Prerequisite: MAT 245. (4 units; Fall/Spring)

InstructorStart DateDaysTimeLocation
MAT255-A
Willett, Robert James
01/08/2024 MWF 1:15 PM - 2:15 PM Health Science Campus ONLN
MAT255-B
DellAcqua, Jessica K.
01/08/2024 MWF 2:30 PM - 3:30 PM Yeager Center ONLN
MAT255-A
STAFF, STAFF
07/01/2024 MTWTh 10:00 AM - 12:00 PM Mission Hall 126
MAT255-A
Willett, Robert James
09/03/2024 MWF 10:45 AM - 11:45 AM TBA ONLN
MAT255-B
Willett, Robert James
09/03/2024 MWF 1:15 PM - 2:15 PM TBA ONLN
MAT255-B
Sill, Michael R.
01/13/2025 MWF 2:30 PM - 3:30 PM TBA ONLN
MAT255-A
Willett, Robert James
01/13/2025 MWF 1:15 PM - 2:15 PM Health Science Campus ONLN

This course is designed to teach students some of the basic computational skills of Linear Algebra in the context of Differential Equations. Students will learn to use the basic operations of matrices, study systems of linear equations and find the determinant, eigenvalues and eigenvectors of a matrix. The student will apply these tools in the qualitative study of solutions to systems of Differential Equations. Prerequisite: MAT 255. (3 units; Fall, even years)

InstructorStart DateDaysTimeLocation
MAT303-A
Sill, Michael R.
09/03/2024 MWF 2:30 PM - 3:30 PM TBA

Study and applications of vector analysis, partial differentiation, multiple integration, Jacobians, theorems of Green and Stokes, and divergence theorem. Prerequisite: MAT 255. (4 units; Fall/Spring)

InstructorStart DateDaysTimeLocation
MAT343-A
Sill, Michael R.
01/08/2024 MWF 1:15 PM - 2:15 PM Yeager Center ONLN
MAT343-A
Sill, Michael R.
09/03/2024 MWF 10:45 AM - 11:45 AM Mission Hall ONLN
MAT343-A
Sill, Michael R.
01/13/2025 MWF 1:15 PM - 2:15 PM TBA ONLN

This course provides the tools to create and critically evaluate data visualizations. Focus will be on statistical graphics, graphics that display statistical data. Additionally, recent advances in the field of information visualization will be covered. Prerequisite: STA 144. (3 units; Spring, even years)

InstructorStart DateDaysTimeLocation
STA360-A
Noh, Heewon Esther_AKA:_Esther_L
01/08/2024 TTh 8:45 AM - 10:15 AM Yeager Center ONLN

A course to introduce statistical models of advanced least squares regression and standard ANOVA techniques and extensions to categorical data. Students will conceptually understand linear mixed effects models, log linear and generalized linear models for count data; and survival models for the analysis of lifetime data. In addition, students will apply these models to real data, to discern patterns and conclusions, and present their results. Prerequisites: STA 205 and STA 210. (3 units; Fall, even years)

InstructorStart DateDaysTimeLocation
STA362-A
Noh, Heewon Esther_AKA:_Esther_L
09/03/2024 TTh 2:00 PM - 3:30 PM TBA

A course in application of parametric and nonparametric single and multivariable data analytic techniques to sports. Topics will include: linear regression, correlation, confounding and interactions, variable selection, categorical predictors and outcomes, logistic regression, factor analysis, discriminant analysis, and regression techniques with longitudinal data. Prerequisite: STA 210. (3 units; Spring, odd years)

InstructorStart DateDaysTimeLocation
STA364-A
Noh, Heewon Esther_AKA:_Esther_L
01/13/2025 TTh 10:30 AM - 12:00 PM James Complex 375

 


 

Quantitative Business Methods (18 units)

This course teaches strategies for visual analyses of business data to inform business strategies across a variety of industries. Students will learn how to create and interpret charts, graphs, infographics, interactive dashboards and communicate the visual insights to customers and employers. A variety of visualization tools will be used for practice and preparation for industry certifications, e.g. SAS, Tableau, GIS. Prerequisite: BEH 290, BUS 315, EGR 305, or STA 144. (3 units; Fall, odd years)

InstructorStart DateDaysTimeLocation
BUS380-A
Girju, Marina Magdalena
09/03/2024 TTh 10:30 AM - 12:00 PM BUS 209
BUS380-B
Borden, Carnell
09/03/2024 W 6:00 PM - 9:00 PM BUS 209

This course trains students in developing spatial analyses for business decisions and strategy across a variety of industries, e.g. business, logistics, real estate, healthcare, marketing analytics, finance. Students will learn how to perform market and customer segmentation, identify patterns in consumer behavior and how they change over time, and others. This course prepares towards SAS, Tableau, GIS certification and is ideal for students who wish to have careers requiring analytics, strategy and/or consulting. Prerequisite: BEH 290, BUS 315, EGR 305, or STA 144. (3 units; Spring, even years)

InstructorStart DateDaysTimeLocation
BUS381-B
Girju, Marina Magdalena
01/08/2024 TTh 2:00 PM - 3:30 PM BUS 209
BUS381-A
STAFF, STAFF
09/03/2024 TTh 12:15 PM - 1:45 PM Yeager Center B113

This course teaches business models to explore and predict specific applied business environments, e.g. customer retention, consumer decisions, sales forecasting, text analytics, etc. Concepts combine application of business models and strategy for marketing, finance, production, process, and managerial targets. This course is ideal for students who prepare for careers requiring analytics, strategy and/or consulting and prepares for industry certifications, e.g. SAS, Tableau, GIS. Prerequisite: BEH 290, BUS 315, EGR305, or STA 144. (3 units; Fall, even years)

InstructorStart DateDaysTimeLocation

This course teaches how to develop business analytics that improve customer experiences and meet employers' expectations. Students will learn design thinking strategies to identify hidden customer needs, define problems and opportunities, elicit and gather project requirements. They will then practice aligning these user needs with analytics models and tie them into a winning business strategy. This course is ideal for students who prepare for careers requiring analytics, strategy, and/or consulting for a variety of industries. Prerequisite: BEH 290, BUS 315, EGR 305, or STA 144. (3 units; Spring, odd years)

InstructorStart DateDaysTimeLocation
BUS481-B
Girju, Marina Magdalena
03/04/2024 TTh 2:00 PM - 3:30 PM BUS 209

An introduction to the fundamental concepts of financial mathematics including basic interest theory. These concepts will be applied in calculating present and accumulated values for various streams of cash flows as a basis for future use in: reserving, valuation, pricing, asset/liability management, investment income, capital budgeting, and valuing contingent cash flow. Prerequisite: MAT 245. (3 units; Fall, even years)

InstructorStart DateDaysTimeLocation
STA320-A
Nielsen Hernandez, Michelle
09/03/2024 MWF 8:15 AM - 9:15 AM TBA

A continuation of the fundamental concepts of financial mathematics including the basics of financial economics and an introduction to financial instruments, including derivatives, and the concept of no-arbitrage as it relates to financial mathematics. Prerequisite: STA 320 (3 Units; Spring, odd years)

InstructorStart DateDaysTimeLocation
STA321-A
Nielsen Hernandez, Michelle
01/13/2025 MWF 9:30 AM - 10:30 AM James Complex