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Course Criteria
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4.00 Credits
Builds on a student's knowledge of programming to explore applications designed for PCs and networks. Emphasis is placed on GUI development and accessing data in a legacy environment. Numerous programming assignments give experience using Visual Basic in a programming environment, designing interactive forms, and using objects and controls to write applications. (3-0-2) Offered fall and winter semesters. Prerequisite: CIS 162.
Prerequisite:
Prerequisite: CIS 162.
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3.00 Credits
Algorithms and data structures, including heaps, hash tables, trees, graphs, greedy algorithms, divide and conquer, and dynamic programming will be covered. Analysis of algorithms as well as the complexity class of problems (P, NP, NPC) will be studied. Other topics include approximation, randomized algorithms and data structure implementation. (3-0-0) Offered fall and winter semesters. Prerequisites: (C or better in either CIS 163 or CIS 164) and (MTH 225 or STA 220).
Prerequisite:
Prerequisites: (C or better in either CIS 163 or CIS 164) and (MTH 225 or STA 220).
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3.00 Credits
The increase of connected technology has dramatically altered our relationship with data. Collected data enables artificial intelligence (AI) models that enhance businesses and our personal lives. This course examines various AI models, how data informs and influences their behavior, and the ethical/societal issues that naturally arise from machines making decisions. Offered fall and winter semesters.
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9.00 Credits
Readings, lectures, discussions, or labs (or any combination) in specific computer science topics. Permission of instructor required. Offered on demand.
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3.00 Credits
History of the computing profession. Local and global impacts of computing technology on individuals, organizations, and society. Professional ethics and responsibilities. Personal privacy, security, and legal issues. Preparation for an internship in the computing field. Offered fall and winter semesters. Prerequisite: COM 201 AND (CIS 163 OR CIS 164 OR CIS 258 OR CIS 260).
Prerequisite:
Prerequisite: COM 201 AND (CIS 163 OR CIS 164 OR CIS 258 OR CIS 260).
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3.00 Credits
A study of networks as implemented in typical online social network sites. This course examines the basics of representing and analyzing networks, the tools for implementing and managing an online social network, and the techniques for discovering and exploiting valuable information that resides in networks. Part of the Information, Innovation, or Technology Issue. Offered fall semester. Prerequisites: MTH 108 and MTH 109 (or MTH 110) and junior standing.
Prerequisite:
Prerequisites: MTH 108 and MTH 109 (or MTH 110) and junior standing.
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3.00 Credits
An introduction to the concepts of information visualization, principles in vision and perception, and design principles for interactive visualizations. Emphasis is placed on analyzing, designing, developing, and evaluating visual representations of quantitative and qualitative content using visualization software that do not require technical backgrounds. Part of the Information, Innovation, or Technology Issue. Offered winter semester. Prerequisite: Junior standing.
Prerequisite:
Prerequisite: Junior standing.
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1.50 Credits
This course offers the opportunity to master the advanced functionality of Microsoft Excel, and to apply those skills to different business applications such as financial modeling, reporting, and the automation of accounting and financial tasks. Offered every semester. Prerequisite: CIS 221.
Prerequisite:
Prerequisite: CIS 221.
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3.00 Credits
Examines the system development and modification process. Emphasizes factors for effective communication with users and interpersonal skill development. Structured and object-oriented analysis and design, use of modeling (CASE) tools, methodological life cycle, and project management standards. (3-0-0) Offered fall and winter semesters. Prerequisites: CIS 162 and (either CIS 250 or MGT 268).
Prerequisite:
Prerequisites: CIS 162 and (either CIS 250 or MGT 268).
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3.00 Credits
This course will introduce the student to key technologies used for collecting, cleaning, manipulating, storing, analyzing, visualizing, and extracting useful information from large and diverse data sets. Upon completion of this course, students will be better prepared to assist organizations in facing the challenges of large-scale data analytics. Part of the Information, Innovation, or Technology Issue. (3-0-0) Offered fall semester. Prerequisites: STA 215 and junior standing.
Prerequisite:
Prerequisites: STA 215 and junior standing.
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