arole in human thinking, particularly in the domains of pattern recognition, communication ofi f a i , a d ab ac i . N e, ha he f i e d e c ef he a d e f heconstituent members of the sets, but from the uncertain and imprecise nature of abstract thoughtsand concepts. The main contribution of fuzzy logic is a methodology for computing with words[3], [7], [9]. A key aspect of computing with words is that it involves a fusion of naturallanguages and computation with fuzzy variables. A selection of fuzzy if-then rules forms the keycomponent of fuzzy inference system that can effectively model human expertise in specificapplications. Because of its multidisciplinary nature, the fuzzy inference system is known also
.[3] Analog Devices Inc. http://www.analog.com/static/imported-files/eval_boards/143456412ADXL321EB_0.pdf,accessed October 12, 2011.[4] Kenneth Waldron and Gary Kinzel, Kinematics, Dynamics and Design of Machinery, 2nd edition, Wiley& Sons, 2003, ISBN-13: 978-0471244172.[5] J a S edbe g, Pa h Fi di g T ac Vehic e , 2010 ASME S de Mecha i & R b De ig C eii ,Montreal, Quebec, Canada, Aug. 15-18, 2010, http://www.stevens.edu/msrobotics/SMRDC2010/. Proceedings of the 2011 North Midwest Section Conference
a e ded e e e a d ca e e e ec a changingc a ac e c a a e ed, a d de e e a a ed ee e e b c aone characteristic of the watershed by adding an impervious layer, adding vegetation (carpet) orchanging the slope of the watershed.Although this lab exercise provided a convenient, well-bounded set of experimental variablesthat could be manipulated by students to design a successful set of experiments, the types ofcalculations involved in Unit Hydrograph analysis are very different than those used in the restof the class. For most of the topics in the class, theories which underlie homework andlaboratory exercises take the form of continuously-defined numbers and deterministic equationsor
. This involved distribution of informational material in a variety of forms and meeting with prospective students and their families. Clarifying what C E a es and challenges b a .Student transfers Proceedings of the 2011 North Midwest Section Conference Although the year started with no students in Computer Engineering, several students transferred into Computer Engineering from other programs on campus. The year concluded with 13 Computer Engineering students on campus.Year 2 (2009 /2010) We began the year by welcoming a new faculty member and our
. As can be seen in the following, the basic approach Proceedings of the 2011 North Midwest Section Conferenceto facilitation of experimentation and reflection is based on Schön [7] and Kolb [6]. Kolb and Schönhave different understandings of how experiments and reflections can be used as learning strategies.Sch n ba ic conce a e eflec ion-in-ac ion and eflec ion-on-ac ion . Reflec ion-in-ac ion i aprocess where reflection and experimentation take place at the same time in any case it is difficult to e a a e he o oce e . Reflec ion-on-ac ion i eflection at a distance, and it contains an elementof evaluation of former actions. Kolb [6] does not deal with reflection as a method - but it is an elementin a learning
potentially all over theworld, team work becomes very challenging.Another integral part of the traditional introductory engineering course is the inclusion of theperspective of outside practicing engineers. This usually takes the form of either a field trip to he ac ici g e gi ee c a b i gi g he e gi ee c a a a i i i g ec e . Freasons stated above, this becomes a challenge in the online environment. Proceedings of the 2011 North Midwest Section ConferenceBeing able to give oral presentations is an i a a ec f a e gi ee ca ee . For thisreason, it is emphasized in the traditional introductory engineering course. Given that studentsare geographically dispersed and courses are generally delivered
percent 1Extroverts 18 51 percent Thinking 18 51 percentIntroverts 17 49 percent Feeling 17 49 percentSensing 17 49 percent Judging 6 17 percentIntuitive 18 51 percent Perceiving 29 83 percentTask 4: Analyze and Interpret the DataRe e ac ed f de e e Q e I f eQ e a e e ad e -line KTS-IItest result of personality type of each student in the
, he ga de e e g ad a i g i h he e i i e ki a d k edge ac ice effec i e i ac ee , fe i a , a d e hica a e .References1. ABET (2008). 2009-2010 Criteria for Accrediting Engineering Programs. Retrieved in January 2008 from http://www.abet.org/forms.shtml2. American Society of Safety Engineers (2011). ASSE Educational Standards Committee Safety Curriculum Guidelines. Retrieved in July 2011 from http://www.asse.org/professionalaffairs/govtaffairs/ngposi18.php3. Allen, Mary J. (2004). Assessing Academic Programs in Higher Education, Anker Publishing Company, Inc.4. Maki, Peggy L (2004). Assessing for Learning: Building a sustainable commitment across the institution, Stylus Publishing, LLC
Mind Trekkers Science and Engineering Festivals: Inspiring K-12 students to explore STEM Stephen Patchin, Cody Kangas, and Jamie Lindquist Michigan Technological UniversityThe Challenge O Ma 5, 2010 e Na a Sc e ce B a d b ed a e ed P e a e NeGeneration of STEM Innovators: Identifying and Developing Our Nation H a Ca a .S ed b e Na a Sc e ce F da , e e e ed ec e dato support the identification and development of talented young men and women who have the e a bec e C e e e a n of science, technology, engineering, andmathematics (STEM