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Course Criteria
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3.00 Credits
Student will initiate and complete a project that meets career interests and objectives. One or more faculty will be available to each student in a consulting capacity. The department chair must approve an outline of the project in the semester prior to registration for this course. 3 semester hours
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3.00 Credits
Survey of data structures used in data bases; relations; hierarchical and network data models; theoretical issues in data base processing; practical issues in data base design, programming, and implementation. Prerequisite: Computer Science 400. 3 lecture hours; 3 semester hours
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3.00 Credits
Basic robotics including: position and velocity sensing, actuators, control theory, robot coordinate systems, robot kinematics, differential motions, path control, dynamics, and force control. Robot sensing, simulation of manipulators, automation, and robot programming languages are also investigated. Prerequisites: Computer Science 102, Math 214 or Math 314, or permission of instructor. 3 semester hours
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3.00 Credits
Introduce design patterns and software architectures. Combines pattern theory with examples to show why and when to use patterns and how to implement them. How to apply design patterns at the enterprise level. The use of design patterns to design and implement systems of high stability and quality. Compare and contrast patterns, including differences between Mediator and Fa?de. Discuss relationships between patterns. Study how patterns are collaborated within domains to solve complicated problems. 3 semester hour
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3.00 Credits
Modeling and solving engineering problems using computational methods. Topics include exact (provable) methods (linear and convex programming) and fast methods (heuristic search, genetic algorithm, neural networks, etc.). 3 lecture hours; 3 semester hours
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3.00 Credits
The course covers algorithmic aspects of modern DNA and protein analysis. Topics include: (i) Reviews of DNA, RNA and Proteins, (ii) Genome rearrangements, (iii) Sequence Alignment and fast algorithms (BLAST), (iv) Genome expressions and DNA-microarray, (v) Phylogenic trees, (vi) Protein docking and drug discovery, etc. 3 lecture hours; 3 semester hours
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3.00 Credits
This sequence of CS courses may be substituted for either CAIS 291 or CAIS 302 for those interested in C++ application development. Prerequisite: Math placement exam at Math 109, or higher. 3 semester hours
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3.00 Credits
This sequence of CS courses may be substituted for either CAIS 291 or CAIS 302 for those interested in C++ application development. Prerequisite: Math placement exam at Math 109, or higher. 3 semester hours
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4.00 Credits
This course is an introduction to the study of the oral cavity and its associated structures. Included in the curriculum are lectures covering anatomy, embryology and histology of oral structures and the head and neck, em- phasizing teeth and their supporting tissues. Knowledge of content is emphasized during clinical practice. 4 lecture hours; 4 semester hours
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3.00 Credits
This course provides the fundamental scientific principles upon which clinical dental radiology is based. Content includes radiation history, radiation physics, radiographic anatomy, application to radiation safety for patient andoperator, quality assurance, infection control practice, standard intra and extra oral radiographic techniques, quality film production and film evaluation. Prerequisite: Successful completion of DH 123 and DH 129. 2 lecture hours; two-hour laboratory periods; 3 semester hours
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