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Course Criteria
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3.00 Credits
5828. Computer Network Security. Overview of security issues that arise from computer networks, including the spectrum of security activities, methods, methodologies, and procedures. Intrusion detection, firewalls, threats and vulnerabilities, denial of service attacks, viruses and worms, encryption, and forensics. Prereq.: CSIS 3723 or equivalent. 3 s.h.
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3.00 Credits
5837. Artificial Intelligence in Game Design. Artificial intelligence techniques for designing and programming intelligent non-player characters for a variety of different types of game genres. Finite and fuzzy state machines, terrain analysis and path planning, board games, language understanding, and learning. Prereq.: CSIS 3700 or CSIS 3701 or CSIS 3726 or CSCI 6901. 3 s.h.
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3.00 Credits
5838. Graphics and Animation for Gaming. Design and implementation of 3D computer games. Development of 3D characters, including surface creation and effects, skeletal and facial rigging, and motion and animation. Programming those characters in a 3D game engine, including scripting, level and game design, and game physics. Prereq.: CSIS 2605 or CSIS 2610 or CSIS 3737. 3 s.h.
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4.00 Credits
5883. Remote Access and Multilayer Switched Networks. Advanced WAN connectivity, including Frame Relay, ATM, ISDN, DSL, and modems; IP address scaling techniques; advanced access control; core issues in network design and management, focusing on multilayer switched networks and emerging multi-service networks. Will incorporate CCNP Cisco Academy curriculum. Three hours lecture, three hours lab. Prereq.: CSIS 3783. 4 s.h.
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4.00 Credits
5884. Building Scalable Networks and Advanced Internetwork Troubleshooting. Designing scalable networks; advanced routing protocols; VLSM and route aggregation; management and diagnostic tools; troubleshooting tools and methodology for TCP/IP, Novell, and AppleTalk connectivity, VLANs, routers, and switches; Frame Relay and ISDN connectivity. Will incorporate CCNP Cisco Academy curriculum. Three hours lecture, three hours lab. Prereq.: CSIS 3783. 4 s.h.
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3.00 Credits
5801. Data Management. This course covers the basic concepts of database systems and emphasizes the real-world database applications relevant to the management of data in an organization environment. The topics include (not limited to) database environment, database development, relational database management systems, SQL/NoSQL data management language, data normalization, data warehousing, and internet database environment. Credit will not be given for both DATX 5801 and CSIS 3722. Prereq.: Junior standing or higher and GPA of 2.5 or higher. 3 s.h.
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3.00 Credits
5803. Data Visualization. Data visualization refers to the graphical representation of information revealed through data analysis. With the assistance of various visualization elements, we can present data in a clear and effective manner. More importantly, turning data into impactful images, we are able to gain valuable insights and intelligence that help improve our decision-making processes. This course introduces students to various types of visualization techniques like charts, tables, graphs, maps, infographics and dashboards. It emphasizes applying appropriate visualization techniques in uncovering information from data. Moreover, it will help students develop skills of data storytelling, i.e. effectively communicating actionable insights through the combination of data visualization and narratives. Prereq.: DATX 5801 or CSIS 3722. 3 s.h.
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3.00 Credits
5805. Predictive Modeling Algorithms. Predictive modeling (also referred to predictive analytics and machine learning) applies statistical techniques in analyzing data to predict outcomes. Through a hands-on approach, this course helps students develop basic skills in predictive analytics. Topics may include (not limited to) k-nearest neighbors, naïve-Bayes, linear and logistic regression models, time-series models, classification and regression trees, Principle Component/Factor Analysis, non-linear models, neural networks, random forests, and cluster analysis among others. Prereq.: DATX 5801 or CSIS 3722. 3 s.h.
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3.00 Credits
5896. Data Analytics Project. Individual research project culminating in a written report or paper utilizing predictive modeling techniques, visualization, and data management techniques. May be repeated once if the second project is fundamentally different in design or scope. Prereq.: "C" or better in DATX 5805. 3 s.h.
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1.00 Credits
1514L. Clinical Dental Hygiene Remediation. This course is designed to improve the dental hygiene student's clinical skills, and to develop the basic competencies essential for performing invasive dental hygiene procedures. The student's individual clinic deficiencies will be addressed, along with patient management and time utilization. This course may be repeated one time. Four hours of clinic per week for twelve weeks. Prereq.: Unsatisfactory progress in clinical dental hygiene and/or recommendation of the clinic coordinator. 1 s.h.
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