- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
STAT
28 courses with the subject STAT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
102 credit if requirement is waived. e a one-hour lab.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- MATH 123 or MATH 126 or higher
Ethics of Disruptive Technologies: 3 Credits
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
Major Electives: 3 Credits Select three credits from CSC 300 or higher, GEOG 320, GEOG 325, MATH 242, MATH 260, MATH 300 or higher, PHYS 200 or higher, or STAT 300 or higher. Students must enroll in the GEOINT certificate program and complete the program to be eligible to have GEOG 320 or GEOG 325 counted towards computer science major requirements.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
Lecture Hours: 3 Lab Hours: 0 This course introduces students to the field of data science. It is designed to present the main steps of the 1000
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- STAT 202 (may be taken concurrently) or STAT 270 (may be taken concurrently)
Core Academic Skills for Educators Test Requirement Required for students with less than 2.7 Undergraduate GPA. PRAXIS Core Academic Skills for Educators: Reading (5712)—Score 156 PRAXIS Core Academic Skills for Educators: Writing (5722)—Score 162 PRAXIS Core Academic Skills for Educators: Mathematics (5732)—Score 150 or a Composite Score of 468 PRAXIS II and edTPA Requirement PRAXIS II Test: 5161 Mathematics: Content Knowledge—Score 160 And PRAXIS II Test: 5624: Principles of Learning and Teaching: Grades 7-12—Score 157 or passing edTPA score Total Credit Hours: 87 Licensure in Spanish Education (K-12)
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- MATH 242 and MATH 260
Lecture Hours: 3 Lab Hours: 0 A study of probability distributions of random samples, the theory of point and interval estimation, hypothesis testing, and decision theory concepts.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- STAT 301
Lecture Hours: 3 Lab Hours: 0 This course prepares students to blend statistical and computational skills to analyze data using modeling methods to make decisions and predict trends in application. The course introduces students to concepts and methods for statistical data modeling and their applications to data science. Topics include: statistical foundation, model building, statistical learning and predicative analytics, and data simulation.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- STAT 300
Lecture Hours: 3 Lab Hours: 0 A course including such topics as simple linear regression: the error model, algebraic derivation of least square estimators, estimating confidence intervals, hypothesis testing, the ANOVA approach to testing, assessing model validity, transformations, residual plots; multiple regression: the general linear model, least 1001
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- STAT 202
Total Credit Hours: 15
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- STAT 300
Lecture Hours: 3 Lab Hours: 0 A course incorporating the use of statistical software packages and including discussions of such topics as descriptive statistics, statistical inference, inference from a single sample, samples from two populations, one-way analysis of variance, linear regression and correlation, multiple regression, two-way analysis of variance, fixed effects models, factorial designs, and hierarchical or nested design.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
Lecture Hours: 3 Lab Hours: 0 An intermediate-level study of such topics as conditional probability, basic classical theorems, methods of convergence, central limit theorem, and characteristic functions.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- STAT 301
Lecture Hours: 3 Lab Hours: 0 An intermediate-level course including such topics as the axiomatic treatment of the fundamentals of probability and distribution theory, characteristic functions (random variables, convergence, and approximation), and common distributions. 1002
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- STAT 301
Lecture Hours: 3 Lab Hours: 0 A review of topics pertaining to deterministic and probabilistic models of operations research, including linear programming, queuing theory, inventory models, and Markov chains.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- STAT 301
Lecture Hours: 3 Lab Hours: 0 A study of stationary stochastic processes, auto-regressions and ARMA-processes, parameter estimation and model selection for time series, trends and seasonality, forecasting by exponential smoothing and the Box-Jenkins method, linear filters.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- STAT 301 and STAT 315
Lecture Hours: 3 Lab Hours: 0 A study of the construction of control charts for variables, attributes, and tolerances; sampling techniques; and current techniques in quality control methodology.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
Lecture Hours: 3 Lab Hours: 0 A course incorporating the use of statistical software packages for the study of probability distributions, measurements of precision and accuracy, control charts, confidence intervals, tests of significance, analyses of variance, multiple correlation and regression, design and analysis of experiments.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- STAT 400
Lecture Hours: 3 Lab Hours: 0 This course will introduce students to the foundations of the constantly evolving field of data science. Students will learn concepts, techniques and tools they need to deal with various facets of data science practice, including data collection and integration, exploratory data analysis (EDA), descriptive/predictive modeling, data product development, evaluation, effective communication. R language is used with emphasis on practical application using real-world data from many disciplines.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2023-2024
- Source
- uncfsu.catalog.acalog.com
Lecture Hours: 3 Lab Hours: 0 This capstone course provides an opportunity for students in the Data Science graduate certificate program to integrate and apply the statistical and computational tools and knowledge learned in previous courses to a large data analytics program. The course will be mostly self-directed; students will work in teams on carefully selected project, with the instructor providing guidance and suggestions to the teams. To prepare students for job interviews, the instructor will conduct two mock interview sessions, one before the midterm break and another during the last week of class.
- Subject
- STAT
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit Hours
- Type
- course
- Edition
- 2023-2024
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- STAT 540 and CSC 510
- Corequisite
- CSC 520 (may be taken concurrently)
A course including such topics as probability distributions, limit theorems, special functions, and probability models. Prerequisite: STAT 301 or consent of the department.
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- uncfsu.catalog.acalog.com
A course including such topics as matrix theory, correlation analysis, least squares, curve fitting, simple and multiple regression, response surfaces, and the applications of statistical software packages. Prerequisite: MATH 251 or consent of the department.
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- uncfsu.catalog.acalog.com
The applications of statistics in the design and analysis of experiments. Topics will include: Principles of Design of Experiments, One-way Analysis of Variance, Factorial Designs, Hierarchical or Nested Designs, Linear and Multiple Regression Analysis, Two way Analysis of Variance, and other related topics. Prerequisite: STAT 561 or consent of instructor.
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- uncfsu.catalog.acalog.com
Theories of distributions and statistical inference, Point and Interval Estimation, Tests of Hypotheses, Sufficiency, Completeness, and Unbiased Minimum Variance Unbiased Estimation (UMVUE’S) Interval Estimation. Prerequisite: STAT 561 or consent of instructor.
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- uncfsu.catalog.acalog.com
A survey of some of the standard statistical software packages, like EXCEL, SAS, and SPSS.. These packages will be used to solve statistical problems. Prerequisite: MATH 561 or consent of instructor.
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- uncfsu.catalog.acalog.com
A discussion of the theoretical and applied aspects of Time Series. Topics include: Introduction to forecasting, Non-Seasonal Box-Jenkins Models and their tentative identification, Seasonal Box-Jenkins Models and their tentative identification, Estimation and diagnostic checking for Box-Jenkins models, Time Series Regression, Exponential Smoothing, Transfer Function Models, Classical Regression Analysis. Prerequisite: STAT 561 or consent of instructor.
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- uncfsu.catalog.acalog.com
characteristic and generating functions, convergence and approximations, asymptotic sampling theory and decision functions. Prerequisite: STAT 561.
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- uncfsu.catalog.acalog.com
linear models and nonparametric estimation, sufficiency, unbiased estimation, Bayes estimators, and the multivariate normal theory. Prerequisite: STAT 661. STAT 750 (3-3-0) Topics in Statistics: A study of special and advanced topics in statistics within the scope of research interests of the instructor. Prerequisite: STAT 662 and consent of the instructor.
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- uncfsu.catalog.acalog.com
A study of special and advanced topics in statistics within the scope of research interests of the instructor.
- Subject
- STAT
- Type
- course
- Edition
- 2026-2027
- Source
- uncfsu.catalog.acalog.com
- Prerequisite
- STAT 662 and consent of the instructor.
Source: Fayetteville State University's catalog, linked per course · table learning_unit · CourseShelf publish 61