CIS-299 |
Special Topics |
This course explores a selected topic or topics designed to integrate and deepen the students ' comprehension and application of computer information science theory and practice. Specific topics will be identified in the |
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course title when posted to the schedule. |
3.00 |
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CIS-301 |
Algorithms and Data Structures |
" This advanced programming class stresses the concept of programming as a method of analyzing, stating and solving problems on a computer. This course includes both structured and non-structured logic as the solution to mathematical and data progressing problems. Topics include: arithmetic operations, working with data files, processing records, loops, Boolean algebra, linked lists, stacks, queues, recursion, binary trees, multi-way trees, |
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graphs and sorting. " |
3.00 |
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CIS-304 |
Event-Driven Programming |
Students will be instructed in the fundamentals of event-driven programming where functions are determined by events such as user actions. Service oriented and time driven programs, event and exception handlers, trigger functions, user created events, anticipation of events, error trapping, and user interface design will be covered. ASP. net web pages, file I / O database connectivity, and web services will also be covered. Students will work |
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hands-on using the latest tools and techniques to create their own program. |
3.00 |
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CIS-311 |
Application and Embedded ML |
In this course students are introduced to the fundamentals of AI and robotics. Using current open-source technologies students will create a program that will be executed by a small-scale robot. Students will evaluate and apply various algorithms in order to gain a better understanding of the complexity surrounding autonomous |
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applications. |
3.00 |
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CIS-312 |
Data Analytics |
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This course focuses on developing interactive programming code for extracting, cleansing, wrangling, | |||
transforming, reshaping, and analyzing data. Students will learn common data types, where data is derived from, | |||
and the challenges practitioners face in the modern world of " Big Data." Using a multidisciplinary approach, | |||
examples from business, social sciences, public health and laboratory sciences will be utilized as students explore | |||
predictive analytics and data science techniques which employ Python. Data privacy and ethics will be explored. |
3.00 |
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CIS-318 |
Linux |
This course introduces students to the Linux / Unix operating systems. Beginning with a brief history of Linux and Unix, students will learn how to determine the best distribution( distro) to download and install based on organizational needs. Fundamentals such as system, commands, utilities, text editing, processing utilities, and permissions will be covered. This course is required for Computer Forensic / Cybersecurity majors because it is essential for running many forensic and penetration testing software. Web Design and Multimedia students are |
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required to take this course because it is an integral part of LAMP. |
3.00 |
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CIS-320 |
Computer Applications in Business |
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This course gives students a cursory overview of the major computer based business systems found in businesses | |||
today. Systems that will be looked at include E-commerce, Accounting Information Systems, Human Resource | |||
Information Systems and Enterprise Resource Planning Systems. In addition, the course will explore how | |||
knowledgeable workers can solve typical business problems through the use of advanced Microsoft Office | |||
features found in Word, Excel and Access.( 5 weeks)( School of Graduate & Professional Studies only) |
3.00 |
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