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Computer Science |
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CSCI 5433 - Object-Oriented Database Systems Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Integration of object-oriented technology with database and Internet technologies; topics include modeling and design for object-oriented database systems, their development processes, implementation of online web database applications using object-oriented languages, scripting languages and object-oriented DBMS to store and retrieve objects in an object-oriented database. Laboratory instruction.
Prerequisites: CSCI 4333 ; CSCI 4320 recommended.
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CSCI 5530 - Pattern Classification Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Introduction to the basic concepts of pattern classification including Bayes decision theory, parametric and non-parametric techniques, linear discriminant functions and clustering. Laboratory instruction.
Prerequisites: Calculus, linear algebra, probability, statistics and a compiler language.
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CSCI 5531 - Advanced Operating Systems Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Study of current methodologies used in the design of distributed operating systems including issues related to the design of distributed file systems, inter-process communication, and synchronization facilities, process, processor and memory management within the context of distributed operating systems. Case studies and review of current literature. Basic introduction to network programming and its application to the design of a simplified component of a distributed operating system. Laboratory instruction.
Prerequisites: CSCI 4354 and CSCI 5134 .
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CSCI 5532 - Pattern Recognition and Image Processing Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
An introduction to basic concepts and techniques for digital image processing, including software and hardware techniques for statistical pattern recognition and extracting useful information from pictures by automatic means. Laboratory instruction.
Prerequisites: Calculus, linear algebra, probability, statistics and a compiler language.
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CSCI 5533 - Distributed Information Systems Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Distributed transparency, distributed DBMS architecture, distributed database design, semantic data security and integrity control, distributed query processing, database interoperability, mobile databases, distributed concurrency control and recovery, distributed DBMS. Laboratory instruction.
Prerequisites: CSCI 5333 .
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CSCI 5631 - Foundations for Service Oriented Architectures Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Principles and issues related to the development of interface-based software components as the foundation for developing Service Oriented Architecture (SOA). Topics include interface definition and design, language integration (VB, C#, C and Java), concurrency and threading issues, type libraries, distributed components, callbacks and persistence.
Prerequisites: CSCI 5431 or CSCI 5531 .
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CSCI 5633 - Web Database Development Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Principles of design and implementation of web database systems for storing, updating and retrieving data on the web: web database development techniques, database modeling, SQL development, web database connectivity, web database application programming. Scripting languages, exchanging data with XML, user authentication, user tracking, session management, e-commerce and web database administration will be covered. Laboratory instruction.
Prerequisites: CSCI 4320 and CSCI 4333 .
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CSCI 5635 - Parallel Processing Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Integrated discussion of the software and hardware design issues involved in parallel processing. Laboratory instruction.
Prerequisites: Background in computer architecture and programming.
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CSCI 5733 - XML Application Development Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
XML standards including XML, DTD, DOM, XSL, XSLT, Xpath, Xpointer and XML Schema. XML related technologies including XML parsers, JAXP, XSL parsers, XML servers, XML databases, SOAP and web services. Laboratory instruction.
Prerequisites: CSCI 1370 or CSCI 1471 , CSCI 4320 .
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CSCI 5737 - Mobile Applications Development Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Mobile application design and development principles-application scoping, usage patterns, reliability requirements, mobile user interface design, accessing hardware features such as camera and GPS, and performance tuning. Hands-on laboratory instruction provided using one of the popular mobile platforms- iOS, Android, or Windows Phone 7.
Prerequisites: The course assumes knowledge of an object-oriented programming language such as C, Java, C#, etc.
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CSCI 5739 - Internship in Computer Science Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Supervised work experience in an approved industrial firm or government agency. Written and oral report required.
Prerequisites: Approval by adviser and associate dean.
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CSCI 5832 - Financial Data Mining Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Examination of the process of data mining financial data in order to identify potentially successful approaches. Explores different sources of data (e.g. derivatives, stocks) and how to effectively apply various machine learners.
Prerequisites: At least one high-level programming language or instructor’s approval.
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CSCI 5833 - Data Mining: Tools and Techniques Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Overview of the data mining process (e.g., CRISP-DM) including issues of data cleansing and data modeling. Characterization of data (structured, unstructured, time series). Examination of machine learners (neural networks, decision trees, genetic programs). Critique of various data mining tools regarding functionality and application. Assessment of data mining domains using financial, bioinformatics and web-based repositories.
Prerequisites: CSCI 2315 and CSCI 4333 CSCI 5333 recommended.
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CSCI 5838 - Mobile Game Programming Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Mobile games design and development principles-creating game scenes, levels and sprites, collision detection, scrolling background, sounds, leaderboard and incorporating physics in games. Hands-on laboratory instruction provided using one of the popular mobile platforms (iOS, Android, or Windows Phone 7) and gaming engines such as Cocos2D, Box2D, etc.
Prerequisites: CSCI 1370 .
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CSCI 5915 - Cooperative Education Work Term Credit Hours: 1 Lecture: 0 Lab: 1
Fee Type: Co-op
Fee ($): 100
Educational paid work assignment by a student in the field of career interest and course of study. A technical report will be required at the end of the semester. (Specific requirements are noted in the Cooperative Education Catalog description.)
Prerequisites: Approved Candidate Plan of Study, completed cooperative education file and approval of associate dean and Director of Cooperative Education.
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CSCI 5919 - Independent Study in Computer Science Credit Hours: 1 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 15
Prerequisites: Approval of instructor, chair and associate dean.
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CSCI 5929 - Independent Study in Computer Science Credit Hours: 2 Lecture: 0 Lab: 1
Prerequisites: Approval of instructor, chair and associate dean.
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CSCI 5931 - Research Topics in Computer Science Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Identified by specific title each time course is offered.
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CSCI 5933 - Computational Bioinformatics Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
The course assumes students have little prior biological background. The course examines computational approaches to understanding and predicting the structure, function, interactions and evolution of DNA, RNA, proteins and related molecules and processes. The methods taught focus on developing the structure of the models, on model fitting algorithms (machine learning) and on the application of the resulting models (data mining). Most applications will revolve around DNA, RNA, protein sequence and gene expression array data, but other types of data may also be considered.
Prerequisites: CSCI 5833 .
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CSCI 5939 - Independent Study in Computer Science Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Prerequisites: Approval of instructor, chair and associate dean.
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CSCI 6530 - Research Methods in Computer Science Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
A study of current methods and techniques in computer science research, including writing research proposals, conducting research, technical writing and presentations.
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CSCI 6532 - Real-Time Systems Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Major issues in the design and implementation of predictable real-time systems including cyclic executives, fixed priority executives, dynamic priority executives, priority inversion, object-oriented design, real-time transaction systems, real-time programming languages and real-time operating systems. Laboratory instruction.
Prerequisites: Background in operating systems.
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CSCI 6838 - Research Project and Seminar Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Attendance at the orientation meeting on the first class day required. Students will be assigned a research project which requires integrating knowledge and standard procedures in the discipline. A written paper and a presentation will be required.
Prerequisites: 24 hours completed in graduate program.
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CSCI 6939 - Master’s Thesis Research Credit Hours: 3 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 40
Prerequisites: Approval of faculty adviser, master’s committee and dean.
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CSCI 6969 - Master’s Thesis Research Credit Hours: 6 Lecture: 0 Lab: 1
Fee Type: Special
Fee ($): 80
Prerequisites: Approval of faculty adviser, master’s committee and dean.
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Data Science |
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DASC 5031 - Python for Data Science Credit Hours: 3 Lecture: 3
Python as a practical programming language for problem solving, especially in the area of data science. Introduction to computer programming, object-orientation, software development life-cycle, basic data structures, and basic data manipulation and analysis. Leveling course not counting towards master degree’s credits. Laboratory instruction.
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DASC 5032 - Data Structures for Data Science Credit Hours: 3 Lecture: 3 Lab: 0
Advanced programming techniques and data structures including arrays, linked lists, queues, stacks, hashes, dictionaries, sets, tuples, trees and graphs. Introduction to algorithm design and analysis using data structures. Built in Python’s data structures. Data structures from Python library. Leveling course not counting towards master’s degree credits. Laboratory instruction. Prerequisites: DASC 5031
Prerequisites: DASC 5031
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DASC 5133 - Introduction to Data Science Credit Hours: 3 Lecture: 3 Lab: 0
An introduction to the theory, techniques and tools used in data science using Python and R. Introduction to data preparation, manipulation, transformation and visualization, machine learning, data analysis and other data science topics. Programming libraries and tools for data science. Ethics, professionalism and social implications of data science. Laboratory instruction.
Prerequisites: DASC 5032 or CSCI 2315 .
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DASC 5231 - Visualization in Data Science Credit Hours: 3 Lecture: 3 Lab: 0
Study of principles and best practices in effective data visualization using leading tools. Focus on identifying and choosing the proper visualization methods and techniques to be used in various stages of a typical data science project. Laboratory instruction. Prerequisites: CSCI 5833
Prerequisites: CSCI 5833 .
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DASC 5333 - Database Systems for Data Science Credit Hours: 3 Lecture: 3 Lab: 0
Design of database systems, data definition and manipulation languages, data models, entity-relationship model, relational model, SQL, relational algebra, normalization theory, DBMS, Internet, database implementation. Focus on applying DB theory and practice to support data science applications. Laboratory instruction. Prerequisites: DASC 5032
Prerequisites: DASC 5032 .
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DASC 5335 - Deep Learning Credit Hours: 3 Lecture: 3 Lab: 0
Deep learning. Neural Networks (NN), Recurrent Neural Networks (RNN) and Convolutional Neural Network (CNN) and their applications in various domains. Theory, design, implementation and optimizations of different neural networks. Neural networks architecture. Build, train and apply fully connected deep neural networks. Practice in Tensorflow. Laboratory instruction. Prerequisites: CSCI 5833
Prerequisites: CSCI 5833 .
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DASC 5739 - Internship in Data Science Credit Hours: 3 Lecture: 3 Lab: 0
Supervised work experience in an approved industrial firm or government agency. Written and oral report required. Prerequisites: Approval by adviser and associate dean.
Prerequisites: Approval by adviser and associate dean.
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DASC 5915 - Cooperative Education Work Term Credit Hours: 1 Lecture: 1 Lab: 0
Educational paid work assignment by a student in the field of career interest and course of study. A technical report will be required at the end of the semester. (Specific requirements are noted in the Cooperative Education Catalog description.) Prerequisites: Approved Candidate Plan of Study, completed cooperative education file and approval of associate dean and Director of Cooperative Education
Prerequisites: Approved Candidate Plan of Study, completed cooperative education file and approval of associate dean and Director of Cooperative Education.
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DASC 5919 - Independent Study in Data Science Credit Hours: 1 Lecture: 1 Lab: 0
Independent Study in Data Science. Prerequisites: Approval of instructor, chair and associate dean.
Prerequisites: Approval of instructor, chair, and associate dean.
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DASC 5929 - Independent Study in Data Science Credit Hours: 2 Lecture: 2 Lab: 0
Independent Study in Data Science. Prerequisites: Approval of instructor, chair and associate dean.
Prerequisites: Approval of instructor, chair, and associate dean.
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DASC 5931 - Research Topics in Data Science Credit Hours: 3 Lecture: 3
Identified by specific title each time course is offered.
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DASC 5939 - Independent Study in Data Science Credit Hours: 3 Lecture: 3 Lab: 0
Independent Study in Data Science. Prerequisites: Approval of instructor, chair and associate dean. May be repeated
Prerequisites: Approval of instructor, chair, and associate dean.
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DASC 6838 - Research Project and Seminar Credit Hours: 3 Lecture: 3 Lab: 0
A team-project-based course to summarize data science learning. Attendance at the orientation meeting on the first class day is required. Students will be assigned a research project that requires integrating knowledge and standard procedures in the discipline. A written paper and a presentation will be required. Prerequisites: DASC 5133, 24 hours completed in the graduate program.
Prerequisites: DASC 5133 , 24 hours completed in graduate program.
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DASC 6839 - Master’s Thesis Research Credit Hours: 3
Master’s Thesis Research. Prerequisites: Approval of faculty adviser, master’s thesis committee and dean. May be repeated
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DASC 6869 - Master’s Thesis Research Credit Hours: 6
Master’s Thesis Research. Prerequisites: Approval of faculty adviser, master’s thesis committee and dean.
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DASC 6939 - Master’s Thesis Research Credit Hours: 3 Lecture: 3 Lab: 0
Prerequisites: Approval of faculty adviser, master’s thesis committee and dean.
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DASC 6969 - Master’s Thesis Research Credit Hours: 6 Lecture: 6 Lab: 0
Prerequisites: Approval of faculty adviser, master’s thesis committee and dean.
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Digital Media Studies |
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DMST 5031 - Graphic Design Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
Professional approaches to graphic design. Presentations on design theory and practice. Professional design projects using adobe illustrator. Previous art, design and/or computer skills desirable.
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DMST 5033 - Advertising Design Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
Professional approaches to advertising design, theory and practice. Advertising design projects requiring photographic and computer skills. Previous art, design, computer and writing skills are desirable.
Prerequisites: DMST 5031 or permission of instructor.
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DMST 5034 - Global Issues in a Digital Society Credit Hours: 3 Lecture: 3 Lab: 0
Exploration of global issues topics articulated from theoretical and/or historical approaches as they relate to digital media (film, video, art, texts, photography and commercial art) and/or social media platforms.
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DMST 5039 - Web Development Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
Students study function of, critically evaluate, and create websites. Students create and publish client-based projects. Topics include HTML, XHTML, CSS, and JavaScript. (INST 5635 may be taken as an alternative.)
Prerequisites: Proficiency in Photoshop or equivalent experience with instructor approval.
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DMST 5131 - Game Design and Theory Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
A great game is a perfect fusion of science, technology, art, design and more. And unlike other forms of art, games are truly participatory and interactive experiences. When these experiences are done well, game designers are able to create a sense of flow - an intense state of concentration and focus, allowing players to solve complex problems. This course will explore how to leverage the power of this art form to produce “games for good” or “serious games.”
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DMST 5132 - 3D Modeling Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
3D modeling techniques for animation, images and 3D computer sculptures. Covers surface and texture mapping and lighting. Students present research on topics related to 3D technologies.
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DMST 5230 - Critical Approaches to Digital Media Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 5
An exploration of visual and mass communication literacy as it relates to digital media production and creative works using the communication process with applicable theories. One cannot separate images and words when discussing digital media. Course topics will include significant scholars and researchers who have impacted the way we think about a variety of digital media.
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DMST 5231 - Advanced Digital Media Design Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
Concept-based design course taken the semester before the final project in which students use digital tools from their major areas of study.
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DMST 5232 - Media and Communication Research Methods Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
Study, apply and evaluate qualitative, quantitative and critical research methods employed in scholarly communication and digital media research.
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DMST 5233 - Digital Media Law and Ethics Seminar Credit Hours: 3 Lecture: 3 Lab: 0
Overview of legal and ethical issues pertinent to the professional communicator regarding issues such as information access, intellectual property, privacy and defamation. Emphasis on regulation of new technology.
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DMST 5234 - Public Relations Writing Credit Hours: 3 Lecture: 3 Lab: 0
Writing for corporate, nonprofit, and government organizations, including press releases, public service announcements, speeches, newsletters, grants, etc. Also covers interviewing, public relations, research techniques, layout and production.
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DMST 5235 - Animation Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
Fundamental principles of animation, both computer and traditional. Emphasis on 3D computer animation, editing and compositing. Storyboarding and animation project planning also covered. Students complete animated shorts and present research on 3D technologies, film-making or storytelling.
Prerequisites: DMST 5132 .
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DMST 5236 - Digital Storytelling Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
Introduction in the basic structure of digital narratives such as genres and theory for various forms of digital media storytelling. Students will create their own narratives using visual, script, genre, storyboards and proposals/pitches for a final production.
Prerequisites: Must have completed any mandated courses for enrollment.
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DMST 5330 - Strategic Campaign Planning Credit Hours: 3 Lecture: 3 Lab: 0
This course is designed to teach you how to think like a public relations professional. To do so, the course emphasizes the preparation of problem-solving campaigns, programs and projects. Students will implement the four-step public relations process in the form of the group and individual proposals. Students will be expected to apply skills in critical thinking, numeracy, writing, reading, research and new technologies. Cross-listed: COMM 4323
Prerequisites: DMST major, COMM 3320 or permission of instructor
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DMST 5332 - Motion Graphics Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
Examination of the principles of motion design. Processes, techniques and theories of motion graphics and compositing as they pertain to the integration of typography, imagery, sound, motion and narrative to create an animated product. Includes project planning, production and post-production.
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DMST 5333 - Social Media Credit Hours: 3 Lecture: 3 Lab: 0
Draws from a range of social theory to critically evaluate the impact of social media on news media, relationships, social change, branding and politics.
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DMST 5436 - Interactive Animation Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
Instruction in 2D animation, Timeline and Objects, Action Script, user interactivity and publishing files. Students study the function of and evaluate animations as communication vehicles.
Prerequisites: DMST 5031 and COMM 4434 or equivalent experience with instructor approval.
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DMST 5437 - Digital Media and Society Credit Hours: 3 Lecture: 3 Lab: 0
To pose and discuss questions, ideas and debates related to digital media technologies and their impact on individuals, society and the culture.
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DMST 5534 - Video Production 1 Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
This class teaches the basic nuts and bolts of video production, including capturing video and sound using DSLR and traditional video cameras, working with lights, fundamental storytelling and interview skills, as well as basic non-linear editing skills using either Premiere Pro or Final Cut X. Emphasis will also be placed on conceptual and analytical skills. Cross-listed: COMM 4354 .
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DMST 5535 - Narrative Video Production Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
This class requires fundamental knowledge and skills in video production. It gives students ample opportunity to hone their skills and put together a worthwhile video portfolio. The class will also include the opportunity for studio-based video production projects. Cross-listed: COMM 4355 .
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DMST 5536 - Studio-Based Video Production Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
This course will teach the basics of studio-based TV production, including lighting, set design, camera operation, hosting, directing, switching, audio recording and stage directing. Cross-listed: COMM 4359.
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DMST 5537 - Documentary Video Production Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
This class teaches documentary video production skills, including the proper use of production equipment, emphasizing the complexity of developing storylines and honing effective interpersonal communication skills. Students will also learn the complex logistical tasks involved in creating a compelling documentary. Cross-listed: COMM 4357.
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DMST 5538 - Electronic Publishing Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 65
Instruction in design, layout, project management, printing and electronic publication. Principles, techniques and theories of typography, photography, illustration and color to express messages for specific audiences. New trends in publication and automation also included.
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DMST 5831 - Project Management Credit Hours: 3 Lecture: 3
Application of knowledge, skills, tools and techniques to activities related to project, such as the creation of a unique product, service or result. The course exposes students to project management practices and tools and imparts the ability to choose between management styles to complete projects and initiatives.
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DMST 5931 - Research Topics in Digital Media Studies Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 60
Identified by specific title each time course is offered. Topics vary may be repeated for credit with permission of instructor. DMST adviser permission required.
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DMST 5939 - Independent Study in Digital Media Studies Credit Hours: 3 Lecture: 0 Lab: 0
Permission of instructor required.
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DMST 6639 - Practicum in Public Relations Credit Hours: 3 Lecture: 0 Lab: 0
Application of public relations theory and research including in-depth best practices case studies with real-world applications such as PR campaign. This course is suggested as a precursor for the PR internship course.
Prerequisites: DMST Core (DMST 5031 and DMST 5230 ) and DMST 5234 , DMST 5831.
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DMST 6739 - Graduate Internship Credit Hours: 3 Lecture: 0 Lab: 0
Development of digital media under supervision of a selected professor and on-site organizational supervisor. 500 on-site hours required. Includes the production of a professional portfolio. Completed over two semesters.
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DMST 6769 - Graduate Internship Credit Hours: 6 Lecture: 0 Lab: 0
Development of digital media under supervision of selected professor and on-site organizational supervisor. 500 on-site hours required. Includes the production of a professional portfolio. Completed over one semester.
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DMST 6839 - Master’s Project Research Credit Hours: 3 Lecture: 0 Lab: 0
Permission of adviser, project director and department chair required.
Prerequisites: 24 hours of DMST.
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DMST 6909 - Master’s Exam Option Credit Hours: 0 Lecture: 0 Lab: 0
Capstone exam option. Requires approval of adviser and department chair, with two additional pre-approved advanced courses (6 hours) and testing or additional work to test out of a capstone thesis, project or internship.
Prerequisites: All previous coursework must be in the process of completion up to the final 6 hours.
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DMST 6939 - Master’s Thesis Credit Hours: 3 Lecture: 0 Lab: 0
Approval of adviser, thesis director and department chair required.
Prerequisites: 24 hours of DMST.
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Decision Sciences |
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DSCI 3321 - Statistics I Credit Hours: 3 Lecture: 3 Lab: 0
Introduction to probability and statistics; descriptive measures, probability distribution, sample statistics, estimation, confidence intervals, tests of hypotheses, chi-square, F-distribution, linear regression and correlation
Prerequisites: Finite Math and Business Calculus
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DSCI 5131 - Business Analytics I Credit Hours: 3 Lecture: 3 Lab: 0
This course introduces a variety of advanced statistical tools for improved decision making in business analytics. Topics include analysis of experimental designs; advanced multiple regression; logistic regression; discriminant, cluster, and factor analysis; nonparametric statistics; and statistical quality improvement tools. Topics will be explored using data sets, actual business scenarios and statistical computer output.
Prerequisites: BAPA 5031 or FINC 5231 or equivalent.
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DSCI 5231 - Business Analytics II Credit Hours: 3 Lecture: 3 Lab: 0
This course focuses on mastering data-driven quantitative modeling techniques for business decision making. Covers the process of formulating business objectives, data preparation and partition to successfully design, build, evaluate, and implement the quantitative models. Applies predictive modeling techniques, deterministic optimization and simulation to a wide range of practical business scenarios in the areas such as finance, HR, healthcare, marketing, supply chain, etc. Requires using Excel software to implement these models.
Prerequisites: BAPA 5031 or FINC 5231 or equivalent.
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DSCI 5431 - Management Science and Operations Credit Hours: 3 Lecture: 3 Lab: 0
The scientific approach to managerial decision making. An applied management science course with applications in production/operations management; The topics covered include decision analysis; inventory, scheduling and production models; computer simulation; queuing; linear programming; project management (PERT, CPM) and forecasting.
Prerequisites: BAPA 5031 or FINC 5231 or equivalent.
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DSCI 5531 - Introduction to Supply Chain Management Credit Hours: 3 Lecture: 3 Lab: 0
This course provides an integrated view of procurement, operations and logistics management. Students will learn how to manage the flow of products through the supply chain.
Prerequisites: BAPA 5031 or FINC 5231 or equivalent.
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DSCI 5931 - Research Topics in Decision Sciences Credit Hours: 3 Lecture: 3 Lab: 0
Identified by specific title each time course is offered.
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DSCI 5939 - Independent Studies in Decision Science Credit Hours: 3 Lecture: 3 Lab: 0
Independent directed study in Decision Sciences.
Prerequisites: Approval of instructor, faculty chair and associate dean required.
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Early Childhood Education |
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ECED 1303 - Children and Families Credit Hours: 3 Lecture: 3 Lab: 0
Social contexts in which a child develops, the relationships of individuals in these social contexts and the interaction within and between cross-cultural contexts. Field experiences required.
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ECED 4302 - Developing Competence in Young Children Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 30
Focus on the relationship among the content areas, skills, concepts and practices that support early competence in young children. Integration of national and state standards into curriculum planning is featured. Field experiences required.
Prerequisites: ECED 1354, INST 3313 , and TCED 4303 .
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ECED 4311 - Reading Development in Young Children Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 30
Focus on early language and literacy development of young children. Oral language development, beginning reading and writing strategies and family literacy are featured. Field experiences required.
Prerequisites: LLLS 4311 and LLLS 4345 .
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ECED 4314 - Observational/Developmental Assessment of Young Children Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 30
Evaluation and uses of developmental and cognitive assessment instruments and their theoretical bases will be explored. Students will develop informal assessments of the intellectual, language, social, physical and motor development of young children.
Prerequisites: ECED 4302 .
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ECED 5031 - Teaching Young Children Credit Hours: 3 Lecture: 3 Lab: 0
Students will explore practices that nurture the intellectual growth and general development of young children. Field experiences required.
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ECED 5032 - Community Programs for Young Children Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 10
This course focuses on studies of various school and community programs (and their underlying theoretical perspectives) that serve young children and families. Trends and issues in early childhood education will be explored. Field experiences required.
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ECED 5033 - Guidance and Classroom Management for EC-6 Credit Hours: 3 Lecture: 3 Lab: 0
This course explores theories and strategies for guiding young children’s behavior in classroom and non-classroom settings. Focus will be on establishing effective discipline and management strategies which promote autonomy in young children.
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ECED 5038 - Creative Arts in Early Childhood Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 20
This course explores the theory, content and practice of integrating the performing arts into the curriculum design and early learning environments. Emphasis is placed on aesthetic development of young children through play, visual art, music, movement and creative dramatics.
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ECED 5039 - Early Childhood Advocacy: Teachers, Parents, Schools and Community Credit Hours: 3 Lecture: 3 Lab: 0
This course focuses on the importance of the role of advocacy in Early Childhood Education. The development of advocacy skills, as well as the role of advocacy with stakeholders such as parents, schools, communities, federal, state and local governing agencies will be analyzed. Strategies for developing successful advocacy agendas will be investigated.
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ECED 5131 - Curriculum Development for Young Children Credit Hours: 3 Lecture: 3 Lab: 0
This course examines strategies for developing, implementing and evaluating creative and intellectually stimulating learning environments and curricula for young children. Field experiences required.
Prerequisites: ECED 5031
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ECED 5132 - Literacy Development in Early Childhood Credit Hours: 3 Lecture: 3 Lab: 0
This course focuses on language and emergent literacy development including research and implications for practice. Field experiences required.
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ECED 5133 - Mathematics and Science Teaching and Learning in Early Childhood Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 20
This course introduces developmental theories and research about science and mathematics learning in the early years. This course also explores principles, methods and materials for integrating and applying appropriate mathematics and science education into the early childhood curriculum.
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ECED 5231 - Play and the Developing Child Credit Hours: 3 Lecture: 3 Lab: 0
This course focuses on research, philosophy and application of developmental play theory, including the influence of play on physical growth, social relationships, emotional well-being, cognitive development and creative expression. Field experience required.
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ECED 5331 - Evaluation of Development of Young Children Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 30
This course is an overview of formal and informal evaluation, including authentic assessment of young children’s development. Assessment models that focus on physical, social, emotional, cognitive and language capabilities are reviewed.
Prerequisites: ECED 5031
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ECED 5332 - Infants and Young Children With Exceptionalities Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 20
This course is a study of various educational models and methods for the assessment and service provision to infants and young children with special needs. Field experiences required.
Prerequisites: SPED 4300 or SPED 5030
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ECED 5333 - Advanced Studies of Infants and Young Children With Special Needs Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 20
This course addresses advanced studies of the education of infants and young children with disabilities to include service coordination, assistive/adaptive technologies and health care issues.
Prerequisites: ECED 5332 or SPED 5332
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ECED 5335 - Children, Family, and Society Credit Hours: 3 Lecture: 3 Lab: 0
This course examines the social contexts in which a child develops, the relationships of individuals in these social contexts and the interaction within and between cross-cultural contexts. Field experiences required.
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ECED 5336 - Administration and Management of Programs for Young Children I Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 1100
In this course, students will examine their leadership role in their early childhood programs and will be introduced to a model of facilitative leadership as a way to empower staff to support shared decision making. Students will be introduced to the components of effective management and identify effective employment practices and a comprehensive model for supervising staff and promoting their ongoing professional development. Students will develop and practice the necessary skills to nurture a positive work climate that promotes peak performance and strategies for promoting and maintaining a positive public image. This course is part of the Early Childhood Leadership Certificate. Only students pursuing this certificate may enroll in this course. This course has an additional course fee that will be applied towards the National Director’s Credential.
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ECED 5337 - Administration and Management of Programs for Young Children II Credit Hours: 3 Lecture: 3 Lab: 0
Fee Type: Special
Fee ($): 880
In this course students will learn how to support young children’s development and learning by understanding the interactive environment, the advantages of different groupings and staffing patterns, continuity of care, how to implement developmentally appropriate early childhood curriculum and the importance of observation and child assessment in achieving program goals. This course will explore the early childhood administrator’s role in creating family partnerships, promoting an appreciation of diversity, nurturing open communication, program evaluation and how to implement continuous quality improvement. This course is part of the Early Childhood Leadership Certificate. Only students pursuing this certificate may enroll in this course. This course has an additional course fee that will be applied towards the National Director’s Credential.
Prerequisites: ECED 5336
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