2024-2025 Rowan University Academic Catalog
Course Descriptions
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Statistics |
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STAT 02280 - Biometry Credits: 4
This laboratory course considers elementary data analysis, probability and sampling distributions. It uses the normal and t-distributions to introduce estimation and hypotheses testing. It includes descriptive techniques and inference for simple linear regression and correlation. Analyses of variance, nonparametric tests and chi-square tests are covered in this course. Emphasis is placed on experimentation and the application of statistical methods to the biological sciences. Computer software is used regularly in data manipulation, statistical analyses, and formal presentation of results.
Prerequisite Courses: MATH 01130 with a minimum grade of D- and (BIOL 01106 with a minimum grade of D- or BIOL 01202 with a minimum grade of D- or MCB 01101 with a minimum grade of D-)
Course Attributes: CAT, GCAT, UGRD
Academic Department: Mathematics
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STAT 02284 - Statistics for the Biomedical Sciences Credits: 3
This course introduces statistical concepts and analytical methods as applied to data encountered in the biomedical sciences and engineering. It emphasizes the basic concepts of experimental design, quantitative analysis of data, and statistical inference. Topics include probability theory and distributions; population parameters and their sample estimates; descriptive statistics for central tendency and dispersion; hypothesis testing and confidence intervals for means and proportions; categorical data analysis including relative risk, odds ratios, and the chi-square statistic; correlation and simple linear regression.
Prerequisite Courses: MATH 01140 with a minimum grade of C- or MATH 01131 with a minimum grade of C-
Course Attributes: CAT, UGRD
Academic Department: Mathematics
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STAT 02286 - Probability and Statistics for Electrical & Computer Engineering Credits: 3
This is a Junior level course covering concepts in probability and statistics useful to those studying electrical and computer engineering. Assuming knowledge of descriptive statistics and basic probability from earlier courses, topics will include more advanced probability, continuous and discrete random variables, sampling distributions, interval estimation, and hypothesis testing for one and two parameters. Also explored will be topics in linear regression, analysis of variance, chi-square tests, and an introduction to distribution free tests. Emphasis will be placed on problems with applications to engineering. While this course is directed at students pursuing a major in Electrical and Computer Engineering, it is open to other Engineering majors.
Prerequisite Courses: MATH 01235 with a minimum grade of C- or (MATH 01210 with a minimum grade of C- and MATH 01230 with a minimum grade of C-)
Course Attributes: CAT, UGRD
Academic Department: Mathematics
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STAT 02290 - Probability and Statistical Inference for Computing Systems Credits: 3
This laboratory course considers descriptive techniques for presenting and summarizing data, techniques in probability, discrete and continuous random variables, estimation and hypothesis testing. Emphasis is placed on concepts and simulation, regularly using computer software for data manipulation and presentation, function manipulation and presentation, simulation, and statistical analyses. Examples will be drawn from the field of Computer Science.
Prerequisite Courses: (MATH 03150 with a minimum grade of C- or MATH 03160 with a minimum grade of C-) and MATH 01131 with a minimum grade of C- and (CS 04113 with a minimum grade of C- or CS 01104 with a minimum grade of C- or CS 04103 with a minimum grade of C-)
Course Attributes: CAT, GCAT, UGRD
Academic Department: Mathematics
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STAT 02311 - Introduction to Statistical Computing Credits: 3
This is an introductory course in programming-based statistical software packages, such as SAS, R, and Matlab, intended for students with statistics background. Students will learn the core of ideas of programming such as objects, data structures, looping, and functions. Students will also learn how to read data from different types of files, format them appropriately and use them to perform basic statistical analyses, such as graphing and computing numerical summaries, or more advanced statistical analyses, such as one and two sample T-tests, Chi-square for comparisons of proportions, regression, non-parametric analyses, bootstrapping, and simulations.
Prerequisite Courses: STAT 02260 with a minimum grade of C- or STAT 02320 with a minimum grade of C- or STAT 02284 with a minimum grade of C- or STAT 02280 with a minimum grade of C- or STAT 02290 with a minimum grade of C-
Course Attributes: CAT, UGRD
Academic Department: Mathematics
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STAT 02320 - Concepts in Statistical Data Analysis Credits: 3
This course examines the concepts behind statistical thinking in data analysis. Using rudimentary programming, simulation, and mathematical techniques, students will see what is behind the meaning of statistical significance (and the P-value), as well as the conclusions that can justifiably be made from a study. They will use a statistically software package, be introduced to the modern techniques of randomization of bootstrapping, and learn some classical statistical techniques as well. This course is required for all mathematics BA and BS majors
Prerequisite Courses: MATH 01131 with a minimum grade of C- and MATH 01210 with a minimum grade of C- and (CS 01104 with a minimum grade of C- or CS 04103 with a minimum grade of C- or CS 04113 with a minimum grade of C-)
Course Attributes: CAT, UGRD
Academic Department: Mathematics
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STAT 02323 - Special Topics in Statistics Credits: 3
This course will provide students with the opportunity to study a topic in statistics that is not a part of the existing curriculum, such as biostatistics, non-parametric methods, Bayesian analysis, etc. Course title and content will vary. May be repeated for credit.
Prerequisite Courses: STAT 02260 with a minimum grade of C- or STAT 02320 with a minimum grade of C- or STAT 02284 with a minimum grade of C- or STAT 02280 with a minimum grade of C-
Course Attributes: CAT, UGRD
Academic Department: Mathematics
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STAT 02331 - Applied Statistical Analysis in Healthcare Professions Credits: 3
This undergraduate course examines statistical design and methods necessary to develop proper experiments and analyze data related to athletic training and other healthcare professions, as well as recognizing the strengths and limitations of studies in the literature. Students will learn 1) how to design an experiment, including the use of power analysis; 2) how to assess the validity of the underlying assumptions of statistical methods, in order to determine which statistical method should be used to analyze data; 3) use statistical software to analyze data; and 4) perform assessments of existing studies. General scenarios to be examined will include 1) two independent samples, 2) three or more independent samples, and 3) dependent samples. Linear and multiple regression models will also be covered.
Prerequisite Courses: STAT 02260 with a minimum grade of C-
Course Attributes: CAT, UGRD
Academic Department: Mathematics
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STAT 02340 - Elements of Statistical Learning Credits: 3
This course will provide students an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics. This course presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering and more. Students will receive clear and intuitive guidance regarding how to implement cutting-edge statistical and machine-learning methods to real-world examples. The goal of this course is to teach students the use of statistical learning techniques used by practitioners in science, industry, and other fields.
Prerequisite Courses: (STAT 02320 with a minimum grade of C- or STAT 02360 with a minimum grade of C-) and MATH 01210 with a minimum grade of C- and (CS 01104 with a minimum grade of C- or CS 04103 with a minimum grade of C- or CS 04113 with a minimum grade of C-)
Course Attributes: CAT, UGRD
Academic Department: Mathematics
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STAT 02350 - Regression Analysis Credits: 3
This course will provide a comprehensive introduction to simple and multiple linear regression. Students will learn the principles of least squares estimation, model diagnostics and remedies, through simple linear regression. Students will extend what they learned to the techniques of multiple regression, including models for numerical predictors, and numerical and categorical predictors; analyses, model diagnostics, multicollinearity, and transformations of variables; and model selection techniques. Students will be exposed to the matrix foundations of regression and introduced to nonlinear regression, such as logistic and Poisson regression. Concepts taught in this course will be enhanced through the use of appropriate statistical software.
Prerequisite Courses: (MATH 01210 with a minimum grade of C- and STAT 02260 with a minimum grade of C-) or STAT 02320 with a minimum grade of C- or STAT 02284 with a minimum grade of C- or STAT 02280 with a minimum grade of C-
Course Attributes: CAT, UGRD
Academic Department: Mathematics
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STAT 02360 - Probability and Random Variables Credits: 3
This course is an introduction to the theory and application of probability and random variables, with a short introduction to mathematical statistics, as the post-calculus level. Topics covered include sample spaces, random variables, discrete and continuous probability distributions, mathematical expectation, and multivariate distributions. At the end of the course the concept of estimation, from mathematical statistics, will be introduced. A few of the concepts of descriptive statistics will be introduced as needed. Use of a graphing calculator is required.
Prerequisite Courses: MATH 03150 with a minimum grade of C- and (MATH 01230 with a minimum grade of C- or MATH 01141 with a minimum grade of C-)
Course Attributes: CAT, GCAT, UGRD
Academic Department: Mathematics
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STAT 02361 - Mathematical Statistics Credits: 3
A continuation of STAT 02.360, the course emphasizes the theory of inferential statistics and its applications. The Central Limit Theorem is more fully developed as are the concepts of estimation and hypothesis testing. The properties of estimators are covered and tests using normal, t, chi-square, and F distributions are studied. Nonparametric methods, regression, and correlation are also covered. Use of a graphing calculator is required.
Prerequisite Courses: STAT 02360 with a minimum grade of C-
Course Attributes: CAT, GCAT, UGRD
Academic Department: Mathematics
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STAT 02371 - Design of Experiments: Analysis of Variance Credits: 3
Students will gain an understanding of the major theoretical and practical concepts in the design of experiments using the statistical technique called the analysis of variance (ANOVA). A brief discussion of the concept of power, and the minimum number of experimental trials to achieve that power, will be used as this motivation for careful design. Students will be introduced to several aspects of the design of experiments beyond one- and two-way ANOVA, such as blocking, factorial designs, fractional designs, and random factors.
Prerequisite Courses: (MATH 01210 with a minimum grade of C- or MATH 01235 with a minimum grade of C-) and (STAT 02260 with a minimum grade of C- or STAT 02280 with a minimum grade of C- or STAT 02284 with a minimum grade of C- or STAT 02290 with a minimum grade of C- or STAT 02361 with a minimum grade of C- or STAT 02286 with a minimum grade of C- or STAT 02320 with a minimum grade of C-)
Course Attributes: CAT, GCAT, UGRD
Academic Department: Mathematics
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STAT 02450 - Advanced Data Analysis (Multivariate and Bayesian) Credits: 3
Introduction to Bayesian methodology and Bayesian methods in data science, multivariate data, multivariate normal distribution, multivariate regression, principal component and factor analysis, canonical correlation, discriminant analyses, and clustering. There will be extensive use of appropriate statistical and programming software.
Prerequisite Courses: MATH 01210 with a minimum grade of C- and (STAT 02320 with a minimum grade of C- or STAT 02284 with a minimum grade of C- or STAT 02286 with a minimum grade of C- or STAT 02290 with a minimum grade of C-)
Course Attributes: CAT, UGRD
Academic Department: Mathematics
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STAT 02509 - Probability and Statistics for Data Science Credits: 3
This course serves as an introduction to mathematical statistics concepts and methods essential for multivariate statistical analysis. Students will learn core ideas in probability theory and statistical methods including properties of probability distributions, expectation and variance of random variables, conditional probability and independence, discrete bivariate distributions, correlation, covariance, sampling distributions, point estimation, confidence intervals, hypothesis testing and regression analysis.
Course Attributes: GCAT, GRAD
Academic Department: Mathematics
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STAT 02510 - Introduction to Statistical Data Analysis Credits: 3
This course examines the principles behind statistical data analysis, and introduces students to major areas of statistical data analysis needed by a practicing biomathematician. Using simulation, students will use bootstrapping to develop the mechanics of confidence intervals, use randomization to develop the mechanics of hypothesis tests, and learn the types of conclusions that can justifiably be made from a study. They will also be introduced to models of analyzing data that is categorical, numerical, and a combination of both, through the study of contingency tables, linear regression, and the analysis of variance. They will use at lease one statistical software package.
Prerequisite Courses: STAT 02360 with a minimum grade of D- and MATH 01210 with a minimum grade of D-
Course Attributes: GCAT, GRAD
Academic Department: Mathematics
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STAT 02511 - Statistical Computing Credits: 3
This is an introductory course in programming-based statistical software packages, such as SAS, R, Matlab, etc. Students will learn the core of ideas of programming such as objects, data structures, looping, and functions. Students will also learn how to read data from different types of files, format them appropriately and use them to perform basic statistical analyses, such as graphing and computing numerical summaries, or more advanced statistical analyses, such as one and two sample T-tests, Chi-square for comparisons of proportions, regression, non-parametric analyses, bootstrapping, and simulations.
Prerequisite Courses: STAT 02510 with a minimum grade of D-
Course Attributes: GCAT, GRAD
Academic Department: Mathematics
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STAT 02513 - Applied Stochastic Processes Credits: 3
This course introduces the concept of a sequence of random events known as a stochastic process, as well as the mathematical methods used to model variety of types of stochastic processes and analyze their short and long-term behavior. A broad spectrum of examples from biology, health, and medicine will be included throughout the course. Topics include the basic classifications of stochastic processes, Markov chains, Poisson processes, continuous-time Markov chains, renewal processes, and branching processes. Statistical and computer algebra system software will be used when relevant.
Prerequisite Courses: STAT 02360 with a minimum grade of D- and MATH 01210 with a minimum grade of D- or ECE 09433 with a minimum grade of D-
Course Attributes: GCAT, GRAD
Academic Department: Mathematics
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STAT 02514 - Decision Analysis Credits: 3
This course examines the basic principles for performing a decision analysis, including those needed for decision making in areas such as medicine, the environment, and public health. Topics include the components of a decision and a model of a decision, the use of probability as a model for reasoning with uncertainty, subjective probability, utility theory, Bayesian inferential methods, sensitivity analysis, Monte Carlo simulation, and multi-objective decision problems. Professional decision analysis software will be used throughout the course.
Prerequisite Courses: STAT 02510 with a minimum grade of D-
Course Attributes: GCAT, GRAD
Academic Department: Mathematics
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STAT 02515 - Applied Multivariate Data Analysis Credits: 3
This course examines the principles behind statistical data analysis for multivariate data, and introduces the students to major areas of multivariate I data analysis. Topics include multiple and logistic regression, principal component analysis, factor analysis, cluster analysis, MANOVA, multidimensional scaling, discriminant analysis and canonical correlation. The students will use at least one statistical software package. Previous exposure to linear algebra and univariate calculus, statistics, and probability are assumed..
Prerequisite Courses: STAT 02509 with a minimum grade of D-
Course Attributes: GCAT, GRAD
Academic Department: Mathematics
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STAT 02525 - Design and Analysis of Experiments Credits: 3
This is a graduate level course that investigates fundamental topics in experimentation as well as design methods. The course also introduces the analysis associated with various experiments. Examples and case studies based on real-world events will be used to illustrate course concepts. Students will be required to complete and end-to-end project that will include an experiment’s design, data collection and analysis.
Course Attributes: CAT, GCAT, GRAD
Academic Department: Mathematics
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STAT 02530 - Applied Survival Analysis Credits: 3
This course provides an introduction to the methods used for the analysis of time-to-event data, such as time to first recurrence of a tumor after initial treatment (i.e. length of remission) and time to failure in mechanical systems. The topics covered include types of censoring and truncation, common nonparametric (i.e., Kaplan-Meier estimator), parametric, and semi-parametric (i.e. Cox model) approaches, model checking methods, reliability topics (homogeneous Poisson process), sample size, and power estimation. While the theoretical basis for the methodology will be discussed, the primary focus of the course will be on model selection, data analysis, and interpretation of results. Extensive use of statistical software will be incorporated into the course.
Prerequisite Courses: STAT 02510 with a minimum grade of D-
Course Attributes: GCAT, GRAD
Academic Department: Mathematics
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STAT 02585 - Introduction to Bayesian Statistical Methods Credits: 3
This course provides an introduction to statistics from a Bayesian perspective in which one’s inferences about parameters or hypotheses are updated as evidence accumulates. The course will focus on Bayesian methods for inference and how these methods compare with commonly-taught Frequentist approach. Benefits of the Bayesian approach will also be discussed. Methods learned will be applied in the analyses of various practical problems using a statistical programming language such as R or SAS.
Prerequisite Courses: STAT 02510 with a minimum grade of D-
Course Attributes: GCAT, GRAD
Academic Department: Mathematics
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STAT 04501 - Clinical Statistics Credits: 3
This course is designed to equip students in the field of medical laboratory sciences with a solid foundation in statistical principles and their practical applications in healthcare settings. Through a blend of theoretical knowledge and hands-on experience, students will learn to use appropriate software to analyze, interpret, and effectively communicate data derived from laboratory tests and experiments. Topics covered include basic statistical concepts, data collection methods, specificity and sensitivity of medical tests, hypothesis testing, confidence intervals, regression analysis, Chi-square for comparisons of proportions, ANOVA, Simple and Multiple Linear regression, Logistic regression, and Survival Analysis. By mastering statistical techniques tailored to their profession, students will be better prepared to contribute to evidence-based healthcare practices, conduct research, and ensure the accuracy and reliability of laboratory results, ultimately enhancing their role in patient care and medical research. While this course does not have any prerequisites, it is strongly recommended that students who enroll in this course have prior experience with statistical methods.
Course Attributes: GCAT, GRAD
Academic Department: Mathematics
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Students with Exceptional Learning Needs |
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SELN 10577 - Collaborative Instruction in Inclusive Classrooms Credits: 3
This course will focus on instructional strategies in inclusive classrooms for students with and without disabilities. Collaborative and consultative skills for working with parents, regular education teachers, special education teachers, support personnel, and school administrators will be discussed and modeled, as well as role play for team teaching in such environments.
Prerequisite Courses: SPED 08555 with a minimum grade of D-
Course Attributes: GRAD
Academic Department: Wellness & Inclusive Services in Education
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SELN 10578 - Special Education Policy, Advocacy, and Teacher Leadership Credits: 3
This course focuses on the federal and state policies and regulations guiding special education programming in P-12 public schools. Particular attention is given to the role of teacher leaders in advocating for appropriate service and placements for students with disabilities.
Course Attributes: GCAT, GRAD
Academic Department: Wellness & Inclusive Services in Education
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SELN 10581 - Implementing Positive Behavior Supports Credits: 3
This course provides the student with a comprehensive study of the goals of misbehavior in classrooms and in other settings. Specific theoretical techniques and methodology in channeling deviant behavior through the use of behavior modification and other management techniques will be explored. Curricula content, self-development, attitudes, and research finding will enable each student to acquire effective skills in working with learning resistant and deviant behaving children and adults.
Course Attributes: GCAT, GRAD
Academic Department: Wellness & Inclusive Services in Education
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SELN 10582 - Communication Skills for Students with Disabilities Credits: 3
This course provides an intensive study of the language needs of students with moderate and severe disabilities and includes individual assessment for the identification of initial communication and the development of acceptable language procedures. Finger spelling, basic American Sign Language, and using technology to develop alternative communication strategies will be covered.
Course Attributes: GCAT, GRAD
Academic Department: Wellness & Inclusive Services in Education
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SELN 10585 - Educational Assessment in Special Education Credits: 3
Trends, practices, problems and issues in educational assessment will be examined. The course is designed to enable the special education teacher to administer criterion-referenced, informal, or standardized tests and to plan individualized educational programs for students with special needs. Curriculum-based assessment is emphasized.
Course Attributes: GCAT, GRAD
Academic Department: Wellness & Inclusive Services in Education
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SELN 10590 - Introduction to Autism Spectrum Disorders Credits: 3
This course is designed to provide graduate level instruction in the salient issues involved in the education of students with autism spectrum disorders (including autism, Rett syndrome and other pervasive developmental disorders). It provides an overview to candidates about the characteristics, language development, social relationship development, and instructional interventions for children with autism spectrum disorders.
Course Attributes: GCAT, GRAD
Academic Department: Wellness & Inclusive Services in Education
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SELN 10591 - Instructional Methods for Students with Autism Spectrum Disorders Credits: 3
This course is designed to provide graduate level instruction in the assessment and instruction of students with autism spectrum disorders. Students will learn about evidence-based practices for enhancing the academic, social, behavioral, and communication skills of students with autism spectrum disorders. They will apply their learning in both in-class case study activities and through classroom application. In addition to specialized practices, students will learn how to modify instruction in general education classes to meet the needs of students with autism spectrum disorders.
Prerequisite Courses: SELN 10590 with a minimum grade of D
Course Attributes: GCAT, GRAD
Academic Department: Wellness & Inclusive Services in Education
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SELN 10592 - Clinical Seminar in Special Education Credits: 1
This seminar course is designed to be taken concurrently with the clinical field practice. Students meet throughout the semester to discuss teaching experiences, problem solving strategies, and their own reflections on working with children and youth with disabilities. A report on student progress monitoring are also completed. A written comprehensive examination will be completed during the course.
Course Attributes: GCAT, GRAD
Academic Department: Wellness & Inclusive Services in Education
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SELN 10601 - Research Seminar in Special Education Credits: 3
Course Attributes: GRAD
Academic Department: Wellness & Inclusive Services in Education
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SELN 10610 - Inquiry in Special Education Settings Credits: 3
Students will learn about the research methods that form the basis for evidence-based practices in special education. They will study research methodologies and how they can be used to evaluate practice by reviewing recent research on the effectiveness of special education practices. Students will develop a proposal to evaluate the effectiveness of a practice used in a special education setting. (Taken at the end of the MA SPED program; take SELN 10610 and SELN 10611 in the same semester with the same instructor.)
Course Attributes: GCAT, GRAD
Academic Department: Wellness & Inclusive Services in Education
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SELN 10611 - Practicum: Inquiry in Special Education Settings Credits: 3
Students will evaluate the effectiveness of a practice used in a special education setting and share the results with their school community. (Students take SELN 10610 and SELN 10611 in the same semester with the same instructor.)
Course Attributes: GCAT, GRAD
Academic Department: Wellness & Inclusive Services in Education
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SELN 40477 - Effective Inclusive Instruction in English, Social Studies, and World Language Classrooms Credits: 3
In this course, candidates will learn how to identify the learning difficulties of students with exceptional learning needs in inclusive, subject-matter content classes. They will also learn to assess, plan, and teach these students using evidence-based practices.
Corequisite Courses: SMED 40462
Course Attributes: CAT, UGRD
Academic Department: Wellness & Inclusive Services in Education
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SELN 60576 - Inclusive Instruction in STEM Classrooms Credits: 3
With a focus on STEM education for students with special needs, this course is designed to begin developing the knowledge, skills, and dispositions necessary for STEM teachers to understand and education students in inclusive classrooms. Emphasis will be on: (a) understanding the legal foundations for inclusive instruction, (b) recognizing students’ diverse strengths and needs, (c) designing, implementing, and assessing effectively differentiated lessons that feature research-based strategies, and (d) organizing and managing a flexible, student-centered classroom.
Prerequisite Courses: STEM 60501 with a minimum grade of B- and READ 30520 with a minimum grade of B- and STEM 60510 with a minimum grade of B-
Corequisite Courses: STEM 60502 and STEM 60512
Course Attributes: CAT, GCAT, GRAD
Academic Department: Wellness & Inclusive Services in Education
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SELN 60577 - Effective Inclusive Instruction in English, Social Studies, Theatre, and World Language Classrooms Credits: 3
In this course candidates will learn how to identify the learning difficulties of students with exceptional learning needs and assess, plan, and teach these students using evidence based practices that will enable candidates to succeed in subject matter content classes.
Corequisite Courses: SMED 60562
Course Attributes: GCAT, GRAD
Academic Department: Wellness & Inclusive Services in Education
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Study Abroad |
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SA 01470 - Semester Abroad Credits: 0 to 6
Course Attributes: UGRD
Academic Department: International Center
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SA 01471 - Semester Abroad Credits: 0 to 6
Course Attributes: UGRD
Academic Department: International Center
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SA 01472 - Semester Abroad Credits: 0 to 6
Course Attributes: UGRD
Academic Department: International Center
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SA 01473 - Semester Abroad Credits: 0 to 6
Course Attributes: UGRD
Academic Department: International Center
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SA 01474 - Semester Abroad Credits: 0 to 6
Course Attributes: UGRD
Academic Department: International Center
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Supply Chain & Logistics |
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SCL 01320 - Principles of Transportation Credits: 3
This course is designed to assist students in developing the analytical skills necessary to manage the processes and functions existent in modern transportation networks. Using the Case Method and recommended textbook, students will analyze realistic situations and problems confronting transportation managers. Consequently, they will identify solutions and develop implementation plans for their recommended solutions. Cases for analysis and discussion will include topics such as transportation planning, traffic management, rail and air operations, and maritime operations.
Prerequisite Courses: MKT 09375 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Marketing & Business Information Systems
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SCL 01330 - Warehousing Credits: 3
This course will familiarize students with the concept of warehousing and how warehousing can contribute in enhancing the performance of a supply chain. Specifically, the course will focus on topics like warehouse operations, warehouse management systems, material handling equipment, warehouse layout, and warehouse performance measurement.
Corequisite Courses: MKT 09375
Course Attributes: CAT, UGRD
Academic Department: Marketing & Business Information Systems
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SCL 01350 - Procurement Credits: 3
This course provides an in-depth analysis of the procurement process and supplier management, with strong emphasis placed on managing a supplier base for both products and services. Elements examined include the strategic role of procurement in supply chains, the identification and evaluation of requirements, the strategic make-versus-buy decision, how to identify, evaluate, and select potential suppliers and conduct a post-purchase evaluation; and the impact of information technology on strategic procurement. Both theoretical and quantitative perspectives will be offered. In addition, the topics will be addressed from strategic, financial, and global perspectives.
Prerequisite Courses: MKT 09375 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Marketing & Business Information Systems
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SCL 01360 - Lean Six Sigma for Supply Chain Management Credits: 3
This course discusses how to analyze and improve processes in order to produce and deliver goods and services satisfying customer needs. Topics include performance measures, process design, process evaluation, and techniques of improving and controlling supply chain processes. The course introduces the concepts of Lean, Six Sigma, and Continuous Improvement.
Prerequisite Courses: MKT 09375 with a minimum grade of D- and MGT 06305 with a minimum grade of D- (may be taken concurrently)
Course Attributes: CAT, UGRD
Academic Department: Marketing & Business Information Systems
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SCL 01380 - Global Supply Chain Credits: 3
The course is designed to assist students in developing the analytical skills necessary to manage the processes and functions existent in modern global supply chains. Using the case method and recommended textbook, students will analyze realistic situations and problems confronting supply chain managers in a global setting. They will also identify solutions and develop implementation plans for their recommended solutions. Within this process, students will develop an acceptance, understanding, and appreciation of the economic, political, and cultural differences that make up a global market. Cases for analysis and discussion will include topics such as supply chain strategy, operations management, inventory management, lean systems and six sigma quality issues, and sustainability supply chain management.
Prerequisite Courses: MKT 09375 with a minimum grade of D-
Course Attributes: CAT, GCAT, GNED, MCUL, UGRD
Academic Department: Marketing & Business Information Systems
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SCL 01382 - Supply Chain Analytics Credits: 3
This course focuses on several key supply chain functions and provide hands-on learning for how to best understand and analyze data that may be available for the supply chain. The design aspect of a supply chain is emphasized. Modeling and deriving insights are facilitated through the extensive use of excel-based approach.
Prerequisite Courses: MKT 09375 with a minimum grade of D- and STAT 02260 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Marketing & Business Information Systems
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SCL 01390 - Selected Topics in Supply Chain Management Credits: 3
Students will investigate new areas and developments in theory, research and practice in Supply Chain Management. Specialized topics will vary each semester. Course activities will include in-depth study of current topics, preparation of case analyses, research papers, and/or projects. Students may consult with the department chair or the instructor for course details.
Prerequisite Courses: MKT 09375 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Marketing & Business Information Systems
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SCL 01410 - Supervised Internship in Supply Chain and Logistics Credits: 3
The course is designed to assist students in developing the skills necessary to target diverse industries that align with the student’s skills, interests, and goals. The internship will help supply chain students evaluate the nature, culture, work environment, and career advancement opportunities within an organization. The internship will also help students develop and refine oral and written communication skills and identify areas for future knowledge and skill development.
Prerequisite Courses: MKT 09375 with a minimum grade of D-
Course Attributes: CAT, EXIN, UGRD
Academic Department: Marketing & Business Information Systems
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SCL 01620 - Analytics for Supply Chain Management Credits: 3
Given the increasing availability of data in today’s business environment, integrating it into decision-making is critical for increasing efficiency and profit generation. This course introduces students to the analytical techniques such as optimization modeling, which enables them to make performance recommendations and investigate what-if scenarios in business problems. This course focuses on several critical supply chain functions and teaches students how to effectively understand and analyze data that may be available to them in the supply chain.
Course Attributes: GCAT, GRAD
Academic Department: Marketing & Business Information Systems
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Survey Engineering Technology |
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SET 01103 - CADD I Credits: 3
This course introduces students to computer-aided drafting and design (CADD) with AutoCAD software. Students learn to create, store and retrieve drawings on AutoCAD. Industry standards and procedures are used to develop the students’ skills and proficiency in CADD.
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01108 - Introduction to Surveying Credits: 3
This course is a systematic study of the basic principles of plane surveying. Topics include field practice, office procedures and familiarization with various surveying instruments, (transit, theodolite, EDM, total station, automatic-level and laser-level). Traversing, triangulation and leveling are also studied.
Prerequisite Courses: MATH 01122 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01113 - CADD II Credits: 3
This course is a continuation of the study of AutoCAD. Topics include block, attribute, importing and exporting, x-ref, the user coordinate system and the basics of three-dimensional construction. Extensive hands-on projects using AutoCAD are required.
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01201 - Codes, Contracts and Specifications Credits: 3
This course is a study of business and professional relations in architecture and engineering. Topics include law of contracts, torts, agency, the independent contractor, real property liens, partnerships and corporations. Also included are litigation, arbitration of disputes, labor laws in construction work, bidding procedures and specification writing.
Prerequisite Courses: COMP 01111 with a minimum grade of D- or HONR 01111 with a minimum grade of D- or ENGR 01201 with a minimum grade of D- or ENGL 01111 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01203 - 3-D Modeling Credits: 3
This course provides advanced computer-aided drafting and design (CADD) techniques. A variety of design and drafting problems are studied using AutoCAD. Students generate drawings in such areas as architectural, mechanical, civil, piping, structural and pictorial drafting. These projects involve: three-dimensional construction, surfaces, solids, rendering and animation.
Prerequisite Courses: SET 01113 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01206 - Evidence and Procedures for Boundary Location Credits: 3
This course presents a systematic study of the applications of the laws of boundaries and evidence necessary for boundary determination. The history and development of land boundaries, the surveyor’s role in court, court procedures and legal elements of surveying are studied.
Prerequisite Courses: SET 01108 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01207 - Hydraulics Credits: 3
This course is a study of the behaviors of fluids under static and dynamic conditions. Attention is given to buoyancy and stability of floating bodies. The use of Bernoulli’s equation for calculations of flow through pipes, orifices and open channels is covered. This is a non-calculus based treatment of the subject and this course is not a substitute for ENGR 01342 Engineering Fluid Mechanics or ENGR 01341 Fluid Mechanics.
Prerequisite Courses: MATH 01122 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01208 - Route and Construction Surveying Credits: 3
This course is a systematic study of road layout including parabolic curves, circular curves and cross-sections. Field and office practices in various methods of establishing horizontal and vertical control for mapping and planning as applied to different construction projects are discussed. Other topics include determination of earth quantities, slope staking and the use of the stereometer in interpreting aerial photographs. Students receive hands-on experience with various surveying instruments, data collectors and computers to develop skills in the field-to-finish concepts for surveying and engineering operations.
Prerequisite Courses: SET 01108 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01209 - Map Projections and Coordinate Systems Credits: 3
This course will introduce students to map projections and their associated coordinate systems with emphasis on the (PA and NJ) State Plane Coordinate Systems. The course will cover reduction of surveying observations to map projection systems in detail and focus on the conversion of survey data from one coordinate system to another, Topics will include among other things, projection systems used in survey computations to convert ellipsoidal/spheroidal Earth measurements onto a plane surface including Lambert, Mercator, Transverse Mercator, and UTM map projections, Direct and Indirect methods for coordinate conversion, reduction of surveying observations.
Prerequisite Courses: SET 01108 with a minimum grade of D- and MATH 01130 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01301 - Legal Aspects of Surveying Credits: 3
This course covers land surveyor ethics and professional responsibility, real property law, real and record evidence, conveyances, recording systems, legal aspects of boundary establishment, unwritten title, easements, prescription, water boundaries, surveying plans, and the surveyor in court.
Prerequisite Courses: SET 01206 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01302 - Adjustment Computations Credits: 4
Adjustment computations covers the basic theory and mechanics of a least squares adjustment using the traditional surveying observations of distances, angles, azimuths, and elevation differences. The theory of error propagation is used to determine the precision of indirectly measured quantities. Post-adjustment analysis is studied through the use of various statistical tests, and error ellipse computation and analysis.
Prerequisite Courses: GEOG 16160 with a minimum grade of D- and SET 01108 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01303 - Boundaries and Adjacent Properties Credits: 3
A course on legal principles regarding boundaries and the constructive solutions of the problems of boundary surveying by a consideration of deed descriptions and examples of their application to surveying.
Prerequisite Courses: SET 01206 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01304 - Digital Practices in Surveying Credits: 3
In this course students will be taught skills in using robotic and digital geospatial data collection technologies for mapping, data preparation and processing, and using Computer Aided Drafting (CAD) methods for presentation.
Prerequisite Courses: SET 01113 with a minimum grade of D- and SET 01208 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01305 - Boundary Line Analysis Credits: 3
A course that develops the analytical synthesis of real property law, land surveying procedures, and scenario development compatible with current case law decisions for the development of most probable scenarios of boundary location for the court’s consideration.
Prerequisite Courses: SET 01303 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01306 - Large Scale Topographic Surveying Credits: 3
This course covers application of the theory and practice of the broad spectrum of traditional land surveying processes from project planning, control surveying, feature surveying, data processing and map making. Accuracy assessment and data analysis processes are discussed to ensure that the finished product meets expected accuracy standards. During field practical exercises, students use GNSS equipment to establish survey control networks on a project site and use total stations and electronic data collectors for feature coding and surveying. Industry standard data processing software is used to process the data and apply State Plane Coordinate system to produce deliverables. A report of the survey will be produced together with the map products.
Prerequisite Courses: SET 01108 with a minimum grade of D- and SET 01103 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01307 - Photogrammetry Credits: 3
This course covers the basics of interpretative and geometric aspects of photogrammetry as the art and science of making maps from aerial photographs including manned aircrafts and satellites. Geometric and physical optics, and sensor types and characteristics are discussed. Geometric properties of vertical photography and the science of producing orthorectified images and creating topographic maps from rectified block of stereo photographs. Students apply analytical methods in performing interior orientation, absolute orientation, coordinate transformation, and aero-triangulation of the stereo photographs. Softcopy photogrammetric processing methods are introduced.
Prerequisite Courses: SET 01209 with a minimum grade of D- and (GEOG 16160 with a minimum grade of D- or GEOG 16375 with a minimum grade of D-)
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01308 - Surveying from Unmanned Aerial Systems Credits: 3
Unmanned Aerial Vehicles or Drones have become popular for many civilian applications including recreational, emergency search and rescue, real estate, project monitoring, surveying and mapping, and many more. Acquisition of a system may be the easy part of the entire process of running an UAS. There is quite a large amount of information now available on the UAS. However, most of such information focuses on either the engineering aspect of the aircraft or its defense applications. Very little information is available on the geo-spatial utilization of an UAS data although they are becoming popular platforms for applications in surveying and mapping data acquisition. This course focuses on the components, operations, FAA rules and regulations, and civilian applications in geospatial industries with emphasis on surveying and mapping
Prerequisite Courses: SET 01307 with a minimum grade of D- or SET 01209 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01401 - Geodetic Control Surveying Credits: 3
In this course students study the higher order methods and techniques of establishing control in surveying systems such as Global Positioning System (GPS). The course addresses observations using High Accuracy Reference Networks (HARNs), 1st, 2nd and 3rd Orders of accuracy and the computations necessary to reduce these observations to measurements and the applications of these measurements to the State Plane Coordinate systems and the geoid.
Prerequisite Courses: SET 01108 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01402 - Professional Practice in Surveying Credits: 2
This course provides meaningful exposure to professional practice issues in surveying. Topics covered include professional licensure, contracts and performance bonds, marketing, regulatory issues, surveyor-client relationships, the surveyor as expert witness, and professional ethics and responsibilities.
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01403 - Fundamentals of Geodesy Credits: 3
Topics in geometric geodesy include definitions and the geometry of the reference ellipsoid that approximates the real Earth’s physical and dynamic characteristics and computations of geodetic coordinates on a reference ellipsoid and map projections. Concepts on map projections include properties and characteristics of most common map projections (and distortions) and geodetic field survey data reduction and computation on State Plane Coordinate Systems. Topics in the physical geodesy and basic concepts of positioning using other advanced space-based technologies such as satellite laser ranging and satellite altimetry are also discussed.
Prerequisite Courses: SET 01401 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01404 - Terrestrial Laser Scanning Credits: 3
This course covers the use of terrestrial laser scanner for surveying purposes. The course begins with an understanding of evolution of the laser as a sensing technology. It continues with the geometric applications leading to data processing and point cloud aggregation. Georeferencing and coordinate transformation of point clouds are performed, after which shapes, and dimensions of features are extracted. Two dimensional maps can be created from the extracted features. Data quality and Accuracy analysis are performed and errors and blunders are identified and removed. Digital Terrain Models (DTM) and Digital Surface Models DSM) are developed from the point clouds from which volumes of excavation on construction or mining sites, volumes of subsidence can be determined. Interpretation and identification of features will be performed on the point clouds based on the reflectance characteristics of the point clouds.
Prerequisite Courses: SET 01306 with a minimum grade of D- and SET 01307 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01405 - Precise Positioning and Data Analysis Credits: 3
Global Navigation Satellite Systems (GNSS) have revolutionized global positioning and navigation. In particular, the technology has improved our understanding of the Earth’s gravitational forces and their influence on precise positioning. The precision of positioning and navigation has improved considerably and GNSS receivers have become the preferred tool for survey control networks and other activities requiring higher order accuracies. Employers expect surveying graduates to become proficient in the use of the technology as well as having sound understanding of the underlying science. This course covers satellite orbits, data transmission and processing, the theory behind GNSS technology and applies knowledge of geodesy and data analysis to position fixing. Blunder detection principles are applied to remove errors and to improve the quality of the results. Students use the GNSS equipment in field laboratory exercises for static, Real-Time kinematics methods of data acquisition. It is expected that upon completion of this course, students will fully equipped with the knowledge to be abreast with latest applications of GNSS technology.
Prerequisite Courses: SET 01302 with a minimum grade of D- and SET 01403 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01406 - Parcel-Based Information Systems Credits: 3
People and cultures around the world have different perceptions of land. Land has different value to many people. As a natural resource, with finite size, there are always competing interests when it comes to allocation use and management of units of land. With so many competing interests, it is important to manage land and its resources in an effective manner to ensure its sustainability. To ensure proper stewardship of land, data about each land parcel must be maintained so that information from parcel -based geodatabases may be used to support decisions involving land, people, and communities. Parcel-based information technology serves as a component of the geospatial technology with special applications in placed-based information to support social and economic develop of any community. In this course students learn the need to manage land and natural resources for sustainable development and how effective land information management is the foundation of social and economic development.
Prerequisite Courses: SET 01206 with a minimum grade of D- and GEOG 16260 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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SET 01490 - Surveying Engineering Technology Capstone Course Credits: 4
This course provides a culminating and integrating experience to develop student competency in both technical and non-technical skills in solving surveying problems. A class project integrates many components of previous surveying coursework and emphasizes working with others on a long term project: project description, project planning, field collection, office processing, computer-aided drafting, final product preparation, and oral presentation of results.
Prerequisite Courses: SET 01305 with a minimum grade of D- and SET 01302 with a minimum grade of D- and SET 01401 with a minimum grade of D-
Course Attributes: CAT, UGRD
Academic Department: Civil & Environmental Engineering
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Teaching English as a Foreign Language |
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ESL 00001 - English as a Second Language Level I Credits: 0
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ESL 00002 - English as a Second Language Level II Credits: 0
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ESL 00003 - English as a Second Language Level III Credits: 0
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ESL 00004 - English as a Second Language Level IV Credits: 0
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ESL 00005 - English as a Second Language Level V Credits: 0
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ESL 00011 - ESL Level I Writing Credits: 0
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ESL 00012 - ESL Level I Reading Credits: 0
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ESL 00013 - ESL Level I Listening/Speaking Credits: 0
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ESL 00014 - ESL Level I Grammar Credits: 0
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ESL 00021 - ESL Level II Writing Credits: 0
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ESL 00022 - ESL Level II Reading Credits: 0
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ESL 00023 - ESL Level II Listening/Speaking Credits: 0
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ESL 00024 - ESL Level II Grammar Credits: 0
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ESL 00025 - Beginner Writing Credits: 0
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ESL 00026 - Beginner Reading Credits: 0
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ESL 00027 - Beginner Listening/Speaking Credits: 0
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ESL 00028 - Beginner Grammar Credits: 0
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ESL 00031 - ESL Level III Writing Credits: 0
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ESL 00032 - ESL Level III Reading Credits: 0
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ESL 00033 - ESL Level III Listening/Speaking Credits: 0
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ESL 00034 - ESL Level III Grammar Credits: 0
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ESL 00035 - Low Intermediate Writing Credits: 0
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ESL 00036 - Low Intermediate Reading Credits: 0
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ESL 00037 - Low Intermediate Listening/Speaking Credits: 0
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