ࡱ>  bjbjWW .55kx x 8t{$($)L66K= = = X= = = *2xRTL$d.{Ra0{ueTuRR&ux0^= lPY66ux :  1. Course title/number, number of credit hours EOC 3130L Ocean Engineering Laboratory 3 credit hours 2. Course prerequisites, corequisites, and where the course fits in the program of study Prerequisites: CHM 2045 & CHM 2045L (General Chemistry I) or EGN 2095 & EGN 2095L (Engineering Chemistry), PHY 2044 & PHY 2049L (Physics for Engineers II), EEL 2161 (C for Engineers) Co-requisite: MAP 3305 (Engineering Math I)3. Course logistics Term: Spring 2014 SC 178, Boca Raton Campus, TR 9:30-10:50am 4. Instructor contact information Instructors name Office address Office Hours Contact telephone number Email addressDr. Edgar An Rm 174, Building #36, Boca Raton campus TR 11-1pm or walk-ins 561-297-2792 pan@fau.edu5. TA contact information TAs name Office address Office Hours Contact telephone number Email addressRaul Vidal EW 258 (nano lab) TBD  HYPERLINK "mailto:rvidal5@fau.edu" rvidal5@fau.edu6. Course description 7. Course objectives/student learning outcomes/program outcomes Course objectivesTo provide a basic background in engineering laboratory techniques including: basic measurement theory, experimental purpose and planning, micro-controller data acquisition techniques, introductory-level data analysis, and technical memo preparation To provide an introduction to MATLAB for analyzing and presenting experimental data To prepare students for laboratories associated with subsequent engineering courses in Ocean Engineering Student learning outcomes & relationship to ABET a-k objectivesAn ability to conduct engineering experiments with proper consideration of the type and amount of data to be acquired, the accuracy of the measurements to be made, a plan to reduce and analyze the data, and the quantification of the uncertainty of the outcome. (b) An ability to function in teams (d) An ability to present the results of an experiment in a professional manner using modern presentation techniques. (g) An ability to use modern engineering tools such as C compiler and MATLAB for common data logging and computational tasks. (k)8. Course evaluation method 20% homework, 30% laboratory work, 25% mid-term exam, 25% final exam9. Course grading scale > 90.0 A 86.7-90.0 A- 83.3-86.7 B+ 80.0-83.3 B 76.7-80.0 B- 73.3-76.7 C+ 70.0-73.3 C 66.7-70.0 C- 63.3-66.7 D+ 60.0-63.3 D 56.7-60.0 D- < 56.7 F 10. Policy on assignments, makeup tests, late work, and incompletes Assignments must be turned in on designated dates. Late assignments will NOT be accepted. In most assignments, the data collection process involves a collaborative effort. However, the write-up and the final processing/analysis of the data must be done individually. If in doubt, ask the instructor for clarification. All lab reports must be submitted via blackboard unless otherwise stated. Makeup tests are given only if there is solid evidence of a medical or otherwise serious emergency that prevented the student of participating in the exam. Makeup exam should be administered and proctored by department personnel unless there are other pre-approved arrangements Incomplete grades are against the policy of the department. Unless there is solid evidence of medical or otherwise serious emergency situation incomplete grades will not be given. 11. Special course requirements 12. Classroom etiquette policy University policy requires that in order to enhance and maintain a productive atmosphere for education, personal communication devices, such as cellular phones and laptops, are to be disabled in class sessions. 13. Disability policy statement In compliance with the Americans with Disabilities Act (ADA), students who require special accommodations due to a disability to properly execute coursework must register with the Office for Students with Disabilities (OSD) located in Boca Raton campus, SU 133 (561) 297-3880 and follow all OSD procedures. 14. Honor code policy Students at ý are expected to maintain the highest ethical standards. Academic dishonesty is considered a serious breach of these ethical standards, because it interferes with the university mission to provide a high quality education in which no student enjoys unfair advantage over any other. Academic dishonesty is also destructive of the university community, which is grounded in a system of mutual trust and place high value on personal integrity and individual responsibility. Harsh penalties are associated with academic dishonesty. See University Regulation 4.001 at  HYPERLINK "http://www.fau.edu/regulations/chapter4/4.001_Code_of_Academic_Integrity.pdf" www.fau.edu/regulations/chapter4/4.001_Code_of_Academic_Integrity.pdf Plagiarism and cheating will not be tolerated in any form. A first offense will result in an immediate zero score on the assignment; a second offense will result in an F grade for the course. 15. Required texts/reading Lecture notes provided by the instructor16. Supplementary/recommended readings Experimental Methods for Engineers, 7th Ed. by J.P. Holman, McGraw-Hill 2001 (ISBN 0073660558)17. Course topical outline, including dates for exams/quizzes, papers, completion of reading Course Topics: Basic measurement theory. Basic analog to digital conversion. Basic micro-controller tutorial. Experiment planning. Measurement uncertainty analysis. Data fitting. Oceanographic measurements. 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