May 19, 2024  
The University of North Carolina at Pembroke 2019-2020 Catalog 
    
The University of North Carolina at Pembroke 2019-2020 Catalog [ARCHIVED CATALOG]

Course Descriptions


 

Criminal Justice

  
  • CRJ 5830. Image Management and Media Relations for Criminal Justice and Public Service Agencies (3 credits)


    The mass media can be both an asset and a threat to the standing of criminal justice and other public service agencies. In this course the organization of the American mass information media, their history of involvement in criminal justice and public policy issues and themes, their influence on crime and social issues, and their legitimate interests in criminal justice and public policy activities and policies will be revealed. The techniques criminal justice and public service agencies can employ to keep or enhance a better public image via the mass media will be examined, as will the ways in which media outlets and criminal justice and public service agencies can cooperate in the public interest.

  
  • CRJ 5850. Results-Driven Management in Criminal Justice (3 credits)


    This course is designed to call attention to six common benefits associated with reinventing government organizations in order to enhance effectiveness and efficiency: (1) moving beyond bureaucratic system maintenance constraints; (2) better alignment of results-oriented goals with daily operations; (3) collaboration across organizational boundaries; (4) opportunities to use performance information to improve policies, practices, and programs; (5) results-oriented basis for individual accountability and staff performance evaluations; and (6) continuity of program goals during leadership transitions that are politically driven and a fact of life in government operations. This course will focus primarily on the analysis and application of results-driven management practices in local, state, and federal criminal justice organizations; however, the substantive course content is generalizable to the full spectrum of government organizations charged with delivering publicly valued services.

  
  • CRJ 5860. Use of Force Policy in Criminal Justice (3 credits)


    This course will address a continuing concern in criminal justice. Subject control events such as Waco, Rodney King, and Ruby Ridge have been the subject of controversy. The riot at Attica Prison resulted in civil suits that took thirty years to settle. Use of force is the underlying concern with racial profiling and police misconduct. Criminal Justice professionals need to know how to design proactive policies that are agency-specific.

  
  • CRJ 5870. Criminal Justice Policy (3 credits)


    This course focuses on the analysis of American and International criminal justice policies. Policy analysis is conducted through the lens of major sociological and criminological theories (e.g. deterrence theory, social disorganization theory, Marxist theory, routine activities theory, rationale choice theory, social learning theory, and others). The theoretical foundations of the theories presented will be related to policy initiatives of elected officials and senior policy makers. In addition to providing a theoretical analysis of criminal justice policy, this course will present empirical research findings on the efficacy of various policies and the theories which underpin them.

  
  • CRJ 5880. Police Effectiveness (3 credits)


    The course reviews the development and function of policing in contemporary American society and examines the traditional and alternative criteria by which the effectiveness of police strategies can be assessed by critically reviewing empirical studies of police effectiveness. The course will also examine the political and professional nature of policing in America.

  
  • CRJ 5890. Philosophy of Corrections (3 credits)


    This course reviews the history and philosophy of corrections from a comparative perspective; specific attention will be given to the history punishment and justice in America as well as other major industrialized nations of the world. Students will examine corrections from an evidence-based perspective and explore the relationship between empirical research and theory to correctional practices (e.g., the impact of prisons on crime, the effectiveness of community “control” programs, and the effectiveness of rehabilitation interventions). Finally, students will learn about how correctional policy is shaped by prevailing social and political forces as much as by “data” and “crime rates.”


Special Topics in Criminal Justice

  
  • CRJS 4xxx. Special Topics in Criminal Justice (3 credits)


    This course title provides flexibility to introduce specialized courses which may be of substantial interest to students. Topics will vary from time to time according to student interest.


Computer Science

  
  • CSC 1000. Introduction to Computers (3 credits)


    This course covers basic office applications using a project-based, hands-on approach. The applications covered include each of the following: word processor, spreadsheet, database software, presentation software, and desktop publishing software.

  
  • CSC 1300. WWW Information (3 credits)


    Introduces students to the World Wide Web, focusing on the techniques of web page creation. No programming background is required, although students will learn some programming through scripting languages.

  
  • CSC 1750. Introduction to Algorithms (3 credits)


    Introduces a two-part survey of computing applications and algorithmic principles. This course introduces the range of algorithmic concepts and constructs in a particular programming language. The follow-on course, CSC 185, extends the conceptual foundation and expands the programming language context. Topics include data representation, simple I/O, arrays, subprograms, searching, sorting, and merging. Techniques of problem solving, stepwise refinement, and documentation are also covered. COREQ: CSC 1760 .

  
  • CSC 1760. Introduction to Programming (3 credits)


    This is an intense course in programming implementing concepts of structured programming and algorithmic analysis with emphasis on application. COREQ: CSC 1750 .

  
  • CSC 1850. Object-Oriented Programming (3 credits)


    Builds on the foundation provided by CSC 1750  to provide students with immersion in programming experience and associated techniques, with a focus on the object oriented paradigm. Topics include control flow, debugging and testing, string processing, searching and sorting, recursion, and stacks and linked lists. Emphasis on effective software engineering practices, including incremental development, systematic testing, and hypothesis driven debugging of software artifacts. PREREQ: MAT 1090  or MAT 1070  and C or better in CSC 1750  and CSC 1760 .

  
  • CSC 1900. JAVA Programming (3 credits)


    A first course in programming Java using concepts of structured programming and algorithmic analysis with emphasis on application. PREREQ: CSC 1750  and CSC 1760 .

  
  • CSC 2020. Microcomputer Programming (3 credits)


    A first course in microcomputer programming emphasizing both numeric and string processing, and structured programming. (Visual BASIC and Delphi) using IBM compatible computers. PREREQ: CSC 1000  or permission of instructor.

  
  • CSC 2050. Introduction to Programming-C/C++ (3 credits)


    A first course in programming covering the basic concepts of C and C++ programming languages. Covers structured programming, object-oriented programming, and algorithmic analysis with emphasis on application.

  
  • CSC 2150. Discrete Structures (3 credits)


    Offers an intensive introduction to discrete mathematics as it is used in computer science. Topics include functions, relations, sets, propositional and predicate logic, simple circuit logic, proof techniques, elementary combinatorics, and discrete probability. PREREQ: MAT 1070  or MAT 1090  or MAT 2210  and CSC 1750 , CSC 1760 .

  
  • CSC 2250. Fundamentals of Computer Systems (3 credits)


    Introduces the student to computer hardware and software interfaces. Topics include computer structure, machine language, assembly language, addressing modes, file structures, I/O, memory management, and assemblers, linkers, and loaders. PREREQ: CSC 2150  and CSC 1850 . [CSC 1850  is a Corequisite with a B or better in CSC 1750 .]

  
  • CSC 2260. Operating Systems, Networking, and Security (3 credits)


    The course covers the fundamentals of operating systems, the evolution of operating systems, mobile operating systems, security threats and vulnerabilities to computers and users, identifies methods for protecting against security threats, troubleshoot common security problems, the basic knowledge of networking and data communications and network programming with socket. PREREQ: C or better in CSC 1750 and CSC 1760.

  
  • CSC 2650. Digital Logic (3 credits)


    Covers basic concepts of computer engineering and science from digital logic circuits to the design of a complete microcomputer system, presenting an understanding of principles and basic tools required to design typical digital systems such as microcomputers. PREREQ: C or better in CSC 2150 .

  
  • CSC 2850. Data Structures (3 credits)


    Design of algorithms. Graphs, paths, and trees. Analysis of algorithms for internal and external sorting, searching, and merging. Hashing. Algorithms for dynamic storage allocation. PREREQ: CSC 2150  and C or better in CSC 1850 .

  
  • CSC 2920. Software Development and Professional Practices (3 credits)


    The course material combines a range of topics integral to the design, implementation, and testing of a medium scale software system with the practical experience of implementing such a project as a member of a programmer team. In addition to material on software engineering, this course also includes material on professionalism and ethical responsibilities in software development and human- computer interaction. PREREQ: CSC 1850 .

  
  • CSC 3350. Network Management (3 credits)


    Presents the five conceptual areas of network management as defined by the International Organization for Standardization (ISO): performance management, configuration management, accounting management, fault management, and security management. This course covers networking technologies such as Ethernet, bridges, and switches. It addresses network management architectures and protocols to lay the foundation for SNMP management, broadband management, and TNM. Some network management applications, tools to monitor network parameters, and network management systems to manage networks are included. PREREQ: CSC 1850 , CSC 2260.

  
  • CSC 3380. Web Programming and Security (3 credits)


    In this course, students will gain experience with the programming techniques, technologies, and issues associated with the Internet. Topics include the HTTP protocol, web-servers, browsers, interactive web pages, and client-server computing. This course will also covers the topics related to security aspects of web (based on OWASP’s first 10); including, authentication and authorization, SQL injection, Cross-site scripting (XSS), Cross-site request forgery (CSRF), and Session hijacking, and defenses that have in common the idea of input validation, session management, HTTPS, etc. Provides an overview of techniques used in protecting web and assessing the security of web and identifying vulnerabilities. This is a project-oriented course in which students will be expected to develop secure web applications using a variety of programming languages. PREREQ: CSC 1850 or CSC 1900 and CSC 2260.

  
  • CSC 3650. Introduction to Computer Architecture (3 credits)


    Introduces students to the organization and architecture of computer systems, beginning with the standard von Neumann model and then moving forward to more recent architectural concepts. PREREQ: CSC 2650  and CSC 2250 .

  
  • CSC 3750. Programming Languages (3 credits)


    This is an introduction to the design and implementation of programming languages, including a survey of several major languages and their features. Material covered will emphasize implementation details. PREREQ: CSC 2250 .

  
  • CSC 3800. Database Management Systems and Security (3 credits)


    The course covers database security and database management systems including data independence, relationships, logical and physical organizations, schema, and subschema. Hierarchical, network, and relational models are covered with an emphasis on the relational model. Small SQL queries are created and examined. Database security includes protecting the database from unauthorized access, modification, or destruction. PREREQ: CSC 2850.

  
  • CSC 3910. Software Engineering (3 credits)


    Software Engineering is the study of the software process, in particular the analysis, design, implementation, testing, maintenance, and documentation of a software system. This course introduces the fundamental software engineering concepts and terminology, presents formal models of structured design and programming, and aims to give students both a theoretical and a practical foundation. The primary focus of the class will be on learning modern software methods and tools that can be applied on a project in CSC 4900. Topics covered include information hiding, iterative enhancements, structured programming teams, program libraries, walkthroughs, and documentation. PREREQ: CSC 2920 .

  
  • CSC 3920. Software Process Improvement (3 credits)


    This course is an introduction to the CMMI framework, emphasizing understanding, evaluation, and integrated process improvement. Topics include software process assessment, the Capability Maturity Model for Software, other approaches to software process assessment. This course presents a survey on the use of SPI and software process assessment (SPA) as practiced by large and small companies. PREREQ: CSC 3910 .

  
  • CSC 3930. Component-Based Computing (3 credits)


    Analyzes the fundamental problems that must be solved by middleware in order to provide complete and transparent interoperability between distributed components. The course illustrates the state of the art with respect to how the fundamental problems are solved in practice and provides a hands-on experience developing distributed applications using the most important standards. PREREQ: CSC 3910 .

  
  • CSC 4010. Theory of Computation (3 credits)


    Introduces the student to formal language theory, finite automata, regular expressions, and regular grammars; pushdown automata; context free grammars; and context sensitive grammars. PREREQ: CSC 2250 , CSC 2850 .

  
  • CSC 4020. Introduction to Computer and Network Security (3 credits)


    This course provides an introduction to the theory and application of security in computer and network environments. Students will develop the skills necessary to address the security needs of enterprise and personal environments. The course covers cryptography, authentication, access control, security in operating systems, network security, and denial-of-service. Course projects will focus on the application of security tools to real world problems. PREREQ: CSC 2260 and (CSC 3350 or ITC 2700).

  
  • CSC 4030. Introduction to Digital Forensics (3 credits)


    Digital forensics is the science used in investigations of computer related criminal activities. This course is a 3-credit hour upper level course examining the principles and practice of digital forensics. Students will learn a variety of algorithms, protocols, tools, and methodology of computer forensics including building a forensic lab, collecting evidence, network forensics, mobile forensics, and storage media analysis. PREREQ: CSC 2260 and CSC 2850

  
  • CSC 4050. Current Topics in Computers in Education (3 credits)


    The application of computer software in the classroom, including integration of software with lesson plans. Additional topics include matching software to the most appropriate hardware. This course is designed as a pre‑service course for teachers and may not be used as an advanced MAT or CSC requirement. It is not to be counted toward the Mathematics Concentration at the Graduate level. PREREQ: Permission of instructor.

  
  • CSC 4110. Artificial Intelligence (3 credits)


    Overview and definitions of Artificial Intelligence (AI). Includes depth-first and breadth-first searching techniques with backtracking, A*, local search, adversarial search and constraint satisfaction problem. Covers selected topics from the following: robotic programming, machine learning, knowledge representation with emphasis on logical methods, Horn databases, resolution, quantification, unification, Skolemization and control issues; non-monotonic reasoning; frames; semantic nets. AI systems, including planning, learning, natural language and expert systems PREREQ: C or better in CSC 2850 PREREQ/COREQ: MAT 3280 OR MAT 2100

  
  • CSC 4150. Translators and Compilers (4 credits)


    This course covers interpreters, assemblers, and compilers. The student will study grammar, languages, syntax, semantics, and BNF. Course material covers parsing, symbol tables, one- and two-pass compilers, and code generation. The course has a programming project. PREREQ: CSC 4010 .

  
  • CSC 4350. Operating Systems (3 credits)


    This course covers the basic functions of an operating system. Topics covered include process manage ment and scheduling, memory management and paging algorithms, I/O management, file management, deadlock, and operating system security. PREREQ: MAT 2220 .

  
  • CSC 4360. Mainframe Computing (3 credits)


    This course covers the basic features of the mainframe computer. It builds on previous introductory courses in computer system concepts, such as computer organization and architecture, operating systems, data management, or data communications. Topics covered include mainframe hardware systems, Job Control Language (JCL), System Display and Search Facility (SDSF), Time Sharing Options and Extensions (TSO/E), Batch Processing, Interactive Systems, Linux, and other related topics. PREREQ: CSC 4350 .

  
  • CSC 4450. Design and Analysis of Algorithms (3 credits)


    This course covers time and space complexity of algorithms. Survey of various design techniques such as “divide and conquer” and the “greedy” method is covered. Program verification and validation as well as NPComplete and NPHard problems are discussed. PREREQ: CSC 2850 , and MAT 2220 .

  
  • CSC 4810. Data Mining (3 credits)


    This course covers the principles underlying data mining algorithms and their applications. Algorithms that include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local “memorybased” models are presented and examined. Examples showing how all of the preceding analysis fits together are presented. Topics include the role of metadata, how to handle missing data, and data preprocessing. PREREQ: CSC 3800.

  
  • CSC 4820. Data Warehousing (3 credits)


    The basic elements of data warehousing are described. Topics of project management, defining business requirements, the architecture and infrastructure, the role of metadata, implementation, growth, and maintenance are covered. PREREQ: CSC 3800.

  
  • CSC 4900. Advanced Software Project (4 credits)


    An assigned, group or individual, in-depth programming project includes problem definition, requirements analysis, design, implementation, documentation, and testing. PREREQ: CSC 2250, CSC 2850, and CSC 2920.

  
  • CSC 4970. Computer Science Internship (1-3 credits)


    Fully declared undergraduates in Computer Science who have completed CSC 2850  and are in good standing (at least a 2.5 GPA) are eligible for internships in business and industry.  This is a pass/fail course. The course may be repeated, but no more than three hours will be applied as a major elective. Detailed requirements and application form are maintained by Coordinator of CS/IT Internships. PREREQ: CSC 2850  and approval of Department Chair.

  
  • CSC 4990. Independent Study (1-3 credits)


    Open to seniors in Computer Science with a quality point average of 3.0 in the major and with approval of the Department Chair. Written and oral reports are required.

  
  • CSC 5050. Current Topics in Computers in Education (3 credits)


    Crosslisted: (MATH 5080)
    An inservice course in the comparison and evaluation of computer hardware configurations and computer software packages for the classroom. The mechanics of setting up a computer network. A consideration of the effect that computers in the classroom have on curriculum development. A laboratory experience will be an integral part of the course.

  
  • CSC 5080. Computer Graphics for the Mathematics Teacher (3 credits)


    This course introduces graphics appropriate to classroom settings at the pre‑college level. Graphics that will be dealt with include various algebraic, geometric, and trigonometric relations. Methods that will be used include direct programming as well as the introduction of commercially available software designed for this purpose.

  
  • CSC 5090. Programming and Algorithms for the Mathematics Teacher I (3 credits)


    Techniques for problem solving in a mathematical setting through programming in a high level language. The efficiency of algorithms and the design of programs are considered. CSC 2020  or its equivalent is required background for this course.

  
  • CSC 5100. Programming and Algorithms for the Mathematics Teacher II (3 credits)


    Advanced techniques for problem solving in a mathematics setting through programming in a high level language. Emphasis is given to data structures and object-oriented design. An individual indepth programming project including design, implementation, testing, and documentation of each phase is required. PREREQ: CSC 5090  or instructor permission.

  
  • CSC 5110. Computer Hardware in an Educational Setting (3 credits)


    A study of the various components that make up computer configurations in public school settings. Comparison of the various types of computer hardware available for use in the school. Particular attention will be given to evaluation of hardware for laboratory situations with both individual and networking of computers and computer terminals.

  
  • CSC 5120. Database Management for Teachers (3 credits)


    Goals of DBMS including data independence, relationships, logical organizations, schema and subschema. Designing databases including lossless join, dependence preserving normal form decompositions. Using relational database management systems. Constructing applications which include databases. Data integrity and reliability. PREREQ: CSC 5100  or permission of instructor and program coordinator.

  
  • CSC 5130. Computer Systems for Teachers (3 credits)


    Basic logic design; sequential circuits; digital storage and access. Computer structure, machine and assembly language, and addressing modes. I/O and interrupt structure. Operating system concepts. Examples from microcomputer operating systems. PREREQ: CSC 5100  or permission of instructor and program coordinator.


Special Topics in Computer Science

  
  • CSCS 4xxx. Special Topics (Variable Title) (3 credits)


    A study of special topics in computer science. The selected topics will be an in-depth study of a content area, or they will be selected over the breadth of a content area. PREREQ: Permission of instructor.


Decision Sciences

  
  • DSC 1590. Technology-Enabled Decision Making (3 credits)


    This course introduces pertinent elements of computer applications as they relate to making informed decisions. New and emerging learning technologies are introduced and employed to accentuate critical thinking and problem solving skills. Additionally, the course emphasizes effective communication and collaboration in a technology-rich learning environment. Excel spreadsheets are introduced and utilized extensively in this course. Other techniques taught include collection, analysis, interpretation, and presentation of data as well as the effective use of Internet search tools and electronic databases.

  
  • DSC 2090. Spreadsheet and Database Management (3 credits)


    A comprehensive course in advanced spreadsheet analysis and the fundamentals of database management. The focal point in this course will be on the use of spreadsheet analysis and database management to address contemporary business problems. Students should have experience using spreadsheets.

  
  • DSC 3130. Business Statistics I (3 credits)


    A study of descriptive statistics including functional and summation notation, describing data graphically and numerically, and probability distributions. PREREQ: C or better in MAT 1070  or a higher-level mathematics class.

  
  • DSC 3140. Business Statistics II (3 credits)


    A study of statistical inference including probability theory, random variables and probability distributions, testing hypotheses, estimating unknown parameters, analysis of variance, and linear and multiple regression. PREREQ: A “C” or better in DSC 3130 .

  
  • DSC 3180. Applied Business Statistics (3 credits)


    DSC 3180. Applied Business Statistics (3 credits). Focused on business applications, this course includes descriptive statistics, probability distributions, sampling distributions, estimation of confidence intervals, hypothesis testing, one-way analysis of variance (ANOVA), and linear regression analysis.  PREREQ: C or better in MAT 1070 or a higher-level mathematics class.

  
  • DSC 3190. Business Analytics (3 credits)


    DSC 3190. Business Analytics (3 credits). This course covers the concepts and methodologies in data analytics, the techniques of using data analytics to obtain information and intelligence, and the applications of data analytics in business decision making. Topics include data collection, cleaning, and summarization, data visualization, data mining, analysis of variance, interpreting data analysis results, and reporting findings from a data analysis process.  PREREQ: C or better in DSC 3140 or in DSC 3180 or its equivalents

  
  • DSC 3650. Management Science (3 credits)


    The mathematical concepts application to the solution of management problems. Topics include linear programming, decision theory, optimization, queuing theory, and transportation modeling. PREREQ: DSC 3140 , MGT 3060 .

  
  • DSC 4420. Supply Chain Management (3 credits)


    Crosslisted: (MGT 4420)
    Introduces students to new and emerging topics, tools, and techniques in operations and supply chain management. The course emphasizes coordination, integration, and decision making regarding the interaction of the firm with its suppliers and customers, where planning, design, and control of all aspects of supply chains including design and control of material and information systems, supplier development, supplier selection, customer relationship management and quality issues such as outsourcing in supply chain are discussed. PREREQ: ECN 2020  and ECN 2030 , DSC 3130 , MAT 1070 , ITM 3010 .

  
  • DSC 4990. Directed Studies in Decision Sciences (1-3 credits)


    Independent study in an area of decision sciences of particular interest to a student under the direction of one or more faculty members. Students must submit detailed proposals for a directed study, detailing the proposed plan of study, research involved, dates for deliverables, final product to be produced, and faculty who will be supervising. Proposals will be reviewed by a faculty committee to determine acceptance of the proposal. PREREQ: DSC 2090, DSC 3130 .

  
  • DSC 5010. Foundations of Analytical Methods (4 credits)


    This course equips prospective MBA students with the means and methods of quantitative reasoning through a concise and applied process, which includes introduction to the concepts of mathematical economics, mathematical finance, and business mathematics. The course will cover essentials of algebra with business and economic applications and essentials of calculus with business and economic applications. Upon completing the course students will be able to apply mathematical thinking and quantitative reasoning to solve problems in MBA-level accounting, economics, finance, marketing, and management classes. The applications of concepts include, but are not limited to, Pricing and Inventory Control; Payrolls and Banking; Taxes; Simple Interest; Compound Interest; Annuities; Sinking Funds and Amortization; Accounting; Productivity and Costs, Constrained Optimization (consumer and producer theories); Market Equilibrium; and Elasticities of Demand and Supply. (This course will not count toward the 36 hours required for the MBA degree.)

  
  • DSC 5050. Foundations of Business Statistics (3 credits)


    This course is an accelerated course designed for students with no statistics background or as a refresher course for students who desire to review statistical methods before enrolling in required MBA courses. Intensive examination of statistical and graphical methods of analyzing quantitative information. Specific topics include frequency distribution, probability, sampling, T-tests, correlation, various graphic forms, regression analysis, and analysis of variance. (This course will not count toward the 36 hours required for the MBA degree.)

  
  • DSC 5100. Quantitative Methods (3 credits)


    Intermediate level quantitative skills in multivariate statistics, optimization, and decision-making which will be used in subsequent MBA courses. Topics will include multiple regression, multivariate ANOVA, logistic regression, factor analysis, and linear programming. Computer software will be used.

  
  • DSC 5120. Research Methods (3 credits)


    This course details the methods employed in defining business problems, research design, primary and secondary data sources, methods of data collection, scaling methods, sampling techniques, and report preparation. Through case analyses, literature reviews and research projects, this applications oriented course focuses on improving decision making.

  
  • DSC 5190. Data Analytics for Business (3 credits)


    Covers basic programming procedures such as those in R, Python, and other comparable analytic software. Topics include importing and exporting different types of data, managing data frame, writing basic scripts, debugging, reading from and writing to files, and conducting data analyses in business. PREREQ: DSC 5050 or equivalent

  
  • DSC 5240. Business Analytics (3 credits)


    This course covers a variety of intermediate statistical tools which are used in business data analytics and discusses ways to determine how well the assumptions that underlie these methods describe real-world data problems. Topics include multiple regression and diagnostics tests, categorical response models, cluster analysis, factor and latent variables analysis.     PREREQ: DSC 5050 or equivalent.

  
  • DSC 5550. Time Series Analysis (3 credits)


    A review of statistical methods for analysis of business time-series data. Use of these methods for forecasting will also be discussed. The methods surveyed include smoothing methods, filters, ARIMA models, vector autoregressive models, and cointegration models. PREREQ: DSC 5050 or equivalent

  
  • DSC 5600. Project in Business Analytics (3 credits)


    This course will bring together fundamentals of business analytics related to database management, data analysis techniques and business decision making to solve a real-world business problem. Specific emphasis will be given on problem identification, data selection, model building, data driven diagnosis, reporting and presentation on industry behavior based on the data. This course will give students the experience of working in a Business Analytic team.    PREREQ: DSC 5190, DSC 5240, DSC 5550.

  
  • DSC 5990. Directed Studies (3 credits)


    Independent study in an area of business administration of particular interest to a student under the direction of one or more faculty members. Students must submit detailed proposals for a directed study, detailing the proposed plan of study, research involved, dates for deliverables, final product to be produced and faculty who will be supervising. Proposals will be reviewed by a faculty committee to determine acceptance of the proposal.


Special Topics in Decision Sciences

  
  • DSCS 4xxx. Special Topics in Decision Sciences (3 credits)


    The study of a particular topic of special importance, relevance, and currency in the broad field of decision sciences. The content of the special topics course varies with each offering. Course may be repeated as long as topic being studied is different. PREREQ: DSC 2090, DSC 3130 .

  
  • DSCS 5xxx. Special Topics (3 credits)


    The study of a particular topic of special importance, relevance, and currency to students in the Master of Business Administration program. The content of the special topics course varies with each offering and may be taken twice.


Birth to Kindergarten

  
  • ECE 2020. Foundations of Early Childhood Education (3 credits)


    This course is designed to introduce students to the field of early childhood education. Topics include the history, theories, and approaches of early childhood education, professional roles and expectations, and current trends in the field. All topics will be explored using the perspective that diversity influences both development and implementation of early childhood programs and practices. PREREQ: Must have no less than a 2.0 overall QPA.

  
  • ECE 2030. The Developing Young Child (3 credits)


    This course is designed to systematically explore the development of young children from conception to early childhood. Emphasis will be placed on the principles and theories of child development, as well as the interconnectedness among theory, research, and practice. There is a required field experience in this course. PREREQ: Must have no less than a 2.0 overall QPA.

  
  • ECE 2040. The Child as Teacher (3 credits)


    This course provides an opportunity to interact with young children as an observer of their behavior. Emphasis will be placed on students’ acquisition of observation skills to facilitate planning of appropriate learning experiences for individuals and groups within early childhood education settings. There is a required field experience in this course. PREREQ: Must have no less than a 2.0 overall QPA.

  
  • ECE 2050. Young Children and Families in a Diverse World (3 credits)


    This course is designed to offer students the opportunity to examine the critical importance of values and beliefs related to culture, ethnicity and language traditions. Focus on the practice of culturally sensitive interventions and effective communication and interaction among family, school, and other professionals will allow students to develop the skills to become culturally competent early childhood educators. There is a required field experience in this course. PREREQ: Must have no less than a 2.0 overall QPA.

  
  • ECE 3110. Behavior and Environments for Early Childhood Education (3 credits)


    This course is designed to help address the growing questions posed by many early childhood professionals regarding the “whys?” of a child’s challenging behavior. Research-validated practices will be presented that will help future and current professionals understand and address a child’s persistent behavior(s) and create environments to encourage young children to use socially appropriate behaviors in early childhood and kindergarten settings. There is a required field experience in this course. PREREQ: Admission to Teacher Education

  
  • ECE 3120. Community Partnerships with Families & Agencies (3 credits)


    This course provides students with theory, general principles, and procedures for developing collaborative partnerships with families, young children, professionals, and other stakeholders. Emphasis is placed on a comprehensive review of family systems theory and its application to diverse families who have young children with disabilities. Principles are presented that support the establishment, facilitation, and maintenance of family-professional and professional-professional partnerships. There is a required field experience in this course. PREREQ: Must have no less than a 2.0 overall QPA.

  
  • ECE 3130. Early Childhood Educators as Leaders (3 credits)


    This course examines the leadership role of the early childhood educator. Topics include qualities of leaders, leadership skills development, early childhood professional organizations and their contributions to the field of early childhood education, and strategies for using leadership skills in the classroom, school, and community. There is a required field experience in this course. PREREQ: Must have no less than a 2.0 overall QPA.

  
  • ECE 3140. Health Issues in Birth - Kindergarten Education (3 credits)


    This course will prepare early childhood professionals to identify and address the special health, safety and nutrition issues of young children, birth-5 years, with and without disabilities, in a variety of educational settings. Students will demonstrate competence in strategies required to manage health issues in classroom settings, collaborate with other professionals, and to communicate with parents in caring for the health needs of young children. PREREQ: Must have no less than a 2.0 overall QPA.

  
  • ECE 4010. Integrated Curricula and Appropriate Practices: Infants & Toddlers (3 credits)


    This course is designed to explore the unique educational and developmental needs of infants and toddlers in home and group settings. Emphasis will be placed on designing early learning environments to facilitate development of cognitive, language, physical, and social-emotional skills as well as on family involvement in the education of these young children. There is a required field experience in this course. PREREQ: Admission to Teacher Education

  
  • ECE 4020. Integrated Curricula and Appropriate Practices: Preschoolers (3 credits)


    This course provides a study of curricula and program models appropriate for implementation in inclusive preschool classrooms. Emphasis will be placed on integration of disciplines through application of Foundations: Early Learning Standards for North Carolina Preschoolers, ages 3-4 years. Participants will plan and implement center-based instructional activities designed to motivate young children to engage in discovery learning, as well as engage in assessment of children and reflection of teaching. There is a required field experience in this course. PREREQ: PREQ: Admission to Teacher Education

  
  • ECE 4030. Integrated Curricula and Appropriate Practices: Kindergarteners (3 credits)


    This course provides a study of curricula and program models appropriate for implementation in the inclusive kindergarten classroom. Emphasis is placed on integration of disciplines through developmentally appropriate application of NC Standard Course of Study and methods to motivate young children to engage in active learning. Planning, implementation, assessment and reflection are critical components of the course. There is a required field experience in this course. PREREQ: PREQ: Admission to Teacher Education

  
  • ECE 4040. Differentiation, Individualization, and Universal Design (3 credits)


    This course provides the opportunity to learn about variations in learning styles and student needs while examining strategies to individualize instruction within inclusive classrooms for young children. Topics addressed in this course include: differentiation and individualization of instruction; universal design for learning (UDL); strategies for developing and implementing modifications and accommodations; and appropriate use of technology to meet individual student needs. There is a required field experience in this course. PREREQ: Admission to Teacher Education

  
  • ECE 4050. Practicum I (4 credits)


    This practicum provides opportunities to refine and implement assessment and leadership skills developed in prerequisite courses. Students will work with an agency partner that provides services to families of young children with and without disabilities to conduct program evaluations. PREREQ: Admission to the Teacher Education Program AND completion of, or simultaneous enrollment in, the following: ECE 3120 , ECE 3130 , and ECE 4060 .

  
  • ECE 4060. Assessment Strategies and Application (3 credits)


    This course is designed to provide an understanding of standardized and authentic screening and diagnostic assessment practices as used with young children ages birth through five years. Students will develop proficiency in using assessment manuals, protocols, and instruments. In addition, students will develop competencies in reading and interpreting assessment reports to develop Individualized Family Service Plans (IFSP), Individualized Education Plans (IEP), and modifying classroom lesson plans to meet individual student needs. There is a required field experience in this course. PREREQ: Admission to Teacher Education

  
  • ECE 4070. Practicum II (4 credits)


    This practicum provides opportunities to determine the learning needs of preschoolers and kindergartners with and without disabilities. Emphasis will be placed on creating caring, developmentally and ability appropriate environments, events, and lessons for individuals and groups of students. PREREQ: Admission to the Teacher Education Program AND completion of, or simultaneous enrollment in, the following: ECE 4020 , ECE 4030 , and ECE 4040 .

  
  • ECE 4080. Early Language and Literacy (3 credits)


    This course provides a critical examination of the major areas of speaking, listening, reading, and writing experiences of young children. It outlines key understandings central to young children’s early literacy development. Course topics will include guiding principles for developing children’s early literacy skills, language development stages, theories of language acquisition, linguistic diversity, language assessment, communicative disorders, and school-home connections.  This course will meet synchronously online and may require a field experience. PREREQ: Admission to TEP

  
  • ECE 4090. Teaching Strategies for Science, Math, and Reasoning (3 credits)


    This course covers evidence-based instructional practices and classroom interactions that promote math and science learning in the early childhood classroom. Includes an overview of young children’s use of logic and reasoning and includes specific methods and strategies for designing activities, environments, and carrying on conversations that promote STEM abilities, problem solving and deeper thinking.  PREREQ: Admission to Teacher Education Program

  
  • ECE 4170. Designing and Implementing Relevant Classroom Instruction (3 credits)


    This course is designed as an inquiry-based learning experience, grounded in theory and practice, and focused on how to develop, assess and evaluate curriculum, instruction, and resources in preschool and kindergarten classrooms. The experiences in this class will provide students with opportunities to plan and implement edTPA learning segments, design effective assessments, and conduct educational assessment and evaluation. PREREQ: Admission to TEP, ECE 4020, ECE 4030, ECE 4040, and ECE 4060.

  
  • ECE 4460. Internship in Birth-Kindergarten Programs (9 credits)


    This course is designed to provide a semester long full-time internship experience in a public school or other DPI-approved early childhood setting. Intensive field experience is an opportunity to teach children and work with families in home, school, and community settings. PREREQ: Admission to the Professional Semester. COREQ: ECE 4750 .

  
  • ECE 4500. Practicum for Professionals in Pre-Kindergarten Settings (6 credits)


    This course is designed to assist practicing pre-kindergarten teachers (lateral entry) without BK licensure as they develop and refine the skills necessary to apply successful instructional practices while having the lead in their classroom in the early childhood classroom setting. Emphasis will be placed on understanding the role of the practitioner and implementation of developmentally and individually appropriate practices with pre-kindergarteners. Students will reflect upon current theory and research as they integrate and develop professional skills. PREREQ: Admission to the Professional Semester and completion of all coursework in the student’s Licensure Education Plan. COREQ: none

  
  • ECE 4750. Professional Seminar for Pre-service Birth-Kindergarten Teachers (3 credits)


    Seminar designed to parallel the full semester internship experience. Emphasis is on helping these on-site pre-service teachers understand the purpose, organization, and administration of various service delivery sites; and the role of a Birth-Kindergarten practitioner. Students continually review and reflect on elements of the total service delivery process in early childhood education and the developmentally appropriateness of instructional approaches, assessment strategies, behavior management systems, curriculum models, and home/school/community collaboration. PREREQ: Admission to the Professional Semester. COREQ: ECE 4460 .


Economics

  
  • ECN 1000. Economics of Social Issues (3 credits)


    Economic thinking applied to persistent economic problems and issues in a market economy. Emphasis on implications for government policy rather than on the underlying theory. Topics include the nature of an economic system, demand and supply, monopolies, pollution and public goods, ethics and law, unemployment, inflation, the Federal Reserve System and money.

  
  • ECN 2020. Principles of Microeconomics (3 credits)


    This course focuses on the individual decisions in the market economy. After an overview of how a market economy works, the course develops theories of consumer behavior, the behavior of firms in various degrees of competition, and workers’ decision to offer labor. Government regulation of markets is also examined.

  
  • ECN 2030. Principles of Macroeconomics (3 credits)


    This course offers an overall picture of the operation of our economy. The course focuses on how the economic system determines the level of national income, the unemployment rate, and the rate of inflation. Fiscal, monetary, and supply-side policies are discussed.

  
  • ECN 2060. Economic Geography (3 credits)


    Crosslisted: (GGY 2060)
    Geographic analysis of the location, development and distribution of major industries, resources, agricultural products, and economic services. Study of economic development problems and prospects.

  
  • ECN 2410. Asian Economies (3 credits)


    A comparative study of the economic systems of Asian countries. Countries discussed will be selected from the Indian subcontinent, the Southeast, and the Far East. The effects of the countries’ diverse economic, political, and cultural systems on their prosperity and economic growth will be discussed.

     

  
  • ECN 3010. Managerial Economics (3 credits)


    This course is a rigorous analysis of resource allocation, price determination in a market economy, consumer behavior (constrained utility maximization), theory of the firm (constrained profit maximization), and production and pricing behavior under various market structures. PREREQ: A “C” or better in MAT 2150  or MAT 2210  and in ECN 2020 .

  
  • ECN 3040. Central Banks and the Economy (3 credits)


    Crosslisted: (FIN 3040)
    Study of money, financial institutions, and markets and their roles in the economy. Coverage includes functions of financial intermediaries, structure of financial markets and financial instruments, application of time value of money to bond pricing and yield calculations, algebraic approach to the supply and demand for money and interest rate determination, term- and risk structures of interest rates, the Keynesian macroeconomic model, and the algebraic approach to analyzing the effects of money and credit on national incomes, prices, and interest rates. PREREQ: A “C” or better in MAT 2150 or MAT 2210 and in ECN 2030 PREREQ: A “C” or better in MAT 2150 or MAT 2210 and in ECN 2030

  
  • ECN 3050. Intermediate Macroeconomics (3 credits)


    This course builds upon the concepts learned in Principles of Macroeconomics. It provides a deeper understanding of the functioning of the macroeconomy and the forces of globalization. Students will learn two major macroeconomic models: the neoclassical model and the Keynesian model. Topics will include national income and its determinants, economic fluctuation and economic growth, the possible impacts of monetary and fiscal policies, and how different factors of production behave in certain economic situations. Furthermore, how changes in aggregate consumption and investment affect the economy will also be covered. PREREQ: A “C” or better in MAT 2150  or MAT 2210  and in ECN 2030 .

 

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