Natural & Mathematical Sciences

College of Arts and Sciences

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Applied Statistics Minor

Lower Division Requirements

MAT245 Analytical Geometry & Calculus I

MAT245 Analytical Geometry & Calculus I

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

  Course Sec Instructor Dates Days Time Location
Fall 2014 MAT245-D D Hernandez, Lisa 09/02/2014 Monday, Wednesday, Friday 8:45 AM - 9:29 AM James Complex
181
Fall 2014 MAT245-A A Cordero, Ricardo J. 09/02/2014 Monday, Wednesday, Friday 7:00 AM - 7:45 AM James Complex
181
Fall 2014 MAT245-C C Cordero, Ricardo J. 09/02/2014 Thursday 8:15 AM - 9:15 AM Sch Business Building
123
Fall 2014 MAT245-E E Hernandez, Lisa 09/02/2014 Monday, Wednesday, Friday 9:30 AM - 10:15 AM James Complex
181
Fall 2014 MAT245-B B Cordero, Ricardo J. 09/02/2014 Monday, Wednesday, Friday 7:45 AM - 8:30 AM James Complex
181
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MAT255 Anlytical Geometry & Calculus II

MAT255 Anlytical Geometry & Calculus II

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

  Course Sec Instructor Dates Days Time Location
Fall 2014 MAT255-A A Thomas, Bradley G 09/02/2014 Tuesday 8:15 AM - 9:15 AM Yeager Center
A111
Fall 2014 MAT255-B B Thomas, Bradley G 09/02/2014 Tuesday 8:15 AM - 9:15 AM Yeager Center
A111
Fall 2014 MAT255-C C Thomas, Bradley G 09/02/2014 Tuesday 8:15 AM - 9:15 AM Yeager Center
A111
Fall 2014 MAT255-D D Thomas, Bradley G 09/02/2014 Tuesday 1:15 PM - 2:15 PM Sch Business Building
253
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STA144 Introduction to Statistics

STA144 Introduction to Statistics

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. Prerequisite: MAT 115 or sufficient SAT, ACT or math placement exam scores and appropriate high school mathematics background. (3 units; Fall/Spring)

  Course Sec Instructor Dates Days Time Location
Fall 2014 STA144-I I Holderman, Charlie W. 09/02/2014 Monday, Wednesday, Friday 2:30 PM - 3:30 PM Sch Business Building
104
Fall 2014 STA144-H H Holderman, Charlie W. 09/02/2014 Monday, Wednesday, Friday 1:15 PM - 2:15 PM Sch Business Building
104
Fall 2014 STA144-E E Wood, Daniel A. 09/02/2014 Tuesday, Thursday 7:00 AM - 8:30 AM James Complex
192
Fall 2014 STA144-C C Willett, Robert James 09/02/2014 Monday, Wednesday, Friday 8:15 AM - 9:15 AM James Complex
192
Fall 2014 STA144-D D Willett, Robert James 09/02/2014 Monday, Wednesday, Friday 9:30 AM - 10:30 AM James Complex
192
Fall 2014 STA144-F F Wood, Daniel A. 09/02/2014 Tuesday, Thursday 8:45 AM - 10:15 AM James Complex
192
Fall 2014 STA144-G G Wood, Daniel A. 09/02/2014 Tuesday, Thursday 10:30 AM - 12:00 PM James Complex
192
Fall 2014 STA144-A A Carothers, Linn E. 09/02/2014 Monday, Wednesday, Friday 12:00 PM - 1:00 PM Sch Business Building
251
Fall 2014 STA144-B B Nielsen, Michelle N. 09/02/2014 Monday, Wednesday, Friday 1:15 PM - 2:15 PM Sch Business Building
251
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STA205 Applied Linear Regression

STA205 Applied Linear Regression

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)

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STA210 Statistical Computing I

STA210 Statistical Computing I

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. Prerequisites: CIS 268 and STA 144. (3 units; Fall odd years)

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Upper Division Requirements

MAT353 Probability & Statistics

MAT353 Probability & Statistics

A calculus based course covering discrete and continuous distributions, expectations, the normal distribution, the central limit theorem, the binomial distribution, and various topics in statistical theory such as point estimation, hypothesis testing, and linear regression. Prerequisite: MAT 245. (3 units; Fall)

  Course Sec Instructor Dates Days Time Location
Fall 2014 MAT353-A A Nielsen, Michelle N. 09/02/2014 Monday, Wednesday, Friday 8:15 AM - 9:15 AM Yeager Center
B252
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STA303 Research & Experimental Design

STA303 Research & Experimental Design

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)

  Course Sec Instructor Dates Days Time Location
Fall 2014 STA303-A A Carothers, Linn E. 09/02/2014 Tuesday 12:15 PM - 1:45 PM Instructor
ONLN
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STA305 Sampling & Survey Methodology

STA305 Sampling & Survey Methodology

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. (3 units, Fall even years)

  Course Sec Instructor Dates Days Time Location
Fall 2014 STA305-A A Carothers, Linn E. 09/02/2014 Tuesday, Thursday 3:45 PM - 5:15 PM Sch Business Building
202
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STA310 Mathematical Statistics I

STA310 Mathematical Statistics I

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. Prerequisite: MAT 353. (3 units; Fall even years)

  Course Sec Instructor Dates Days Time Location
Fall 2014 STA310-A A Carothers, Linn E. 09/02/2014 Monday, Wednesday, Friday 1:15 PM - 2:15 PM Sch Business Building
103
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