University Courses Entry Requirements
Department of Education, Office of Educational Technology. Retrieved August 2, 2005, from exter, S. , Anderson, R. , and Becker, H. 1999. Teachers views of computers as catalysts for changes in their teaching practice.
Rasmussen College Course Catalog
Students may use a maximum of 4 semester credits from the CHEM 310 Physical Chemistry: Thermodynamics and Kinetics and CHEM 320 Physical Chemistry: Statistical Mechanics and Quantum Chemistry sequence and a maximum of 4 semester credits from the CHEM 330 Structural Biochemistry and CHEM 335 Metabolic Biochemistry sequence to meet minor requirements. For students who have earned a 5 on the AP Chemistry examination, the CHEM 110 requirement and associated credits will be waived. Students placing into higher level chemistry, mathematics, and/or physics courses may have the corresponding lower level requirements and associated credits waived by the chair of the Department of Chemistry. Students are especially encouraged to do senior level thesis research by enrolling in CHEM 480. A student opting to complete a senior thesis must propose a research project in consultation with a faculty member, present the proposal to the department in a seminar, perform the laboratory work, prepare a written thesis, and defend the thesis orally before the departments faculty. Students who defend their theses successfully and distinguish themselves academically through the senior year GPA of 3. 500 or higher in chemistry are also eligible for honors in chemistry. Barbara A. Balko. Associate professor of chemistry. Physical chemistry.
College Courses Like Engineering
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Art College Courses Near Me
DOT, around 80% of road accidents could be preventable if drivers have a chance to be informed of the impending dangerous situations on the road ahead . Also, roughly 20% of the road maintenance budget is allocated to winter road maintenance in the U. S. In these regards, road slipperiness detection using connected vehicles can be highly regarded in terms of its low budget requirement as well as the seamless monitoring capability. In this study, vehicular wheel and transition ground speeds were obtained using DTGs, one of the broadly penetrated connected devices in Korea, to calculate wheel slip and acceleration data. After identifying strong relationships between the slip and the acceleration data on dry surfaces, three approaches, including regression analysis, SVM, and deep learning models, were applied to categorize the pavement states slippery or non slippery. As a result, SVM models resulted in reasonably good performances with an average accuracy of 96. 5%, although the deep learning model showed the best performance for one of the three analysis groups that has the largest sample size. A follow up experiment is scheduled in wintertime in 2021 to further investigate that the approach of this study can be applied for data from trucks and buses that carry several kinds of LBS devices for fleet management. In addition, deep learning algorithms need to be further investigated with more data in groups 2 and 3 in Table 2 to find out if the performance of group 1 can be applied to other groups with sufficient data. Lastly, the effect of the road slope for determining thresholds for classifying pavement states needs to be examined.
Xaverian College Course Requirements
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