learning ties learning to the sole act of earning higher grades. It should be notedthat true learning, manifest in deeper (meaning) learning approaches and progression into“contextual learning” (the highest level in intellectual development in Baxter Magolda model) isdifficult to measure using quantitative assessments.What actions would you take to support student learning?In each course, providing space to allow students to see how knowledge builds on conceptslearnt in other courses or from other places (internships, hobbies, work etc.) can inculcate a habitof connection-making. Some examples of such assignments are course projects “RelatingThermofluids to Life”20,21, informal presentations “Inspiration”22, 23, and embodied classwork.24
the petroleum engineering application of Artificial Intelligence and Machine Learning, he has authored four books (Shale Analytics, Data-Driven Reservoir Modeling, Application of Data-Driven Analytics for the Geological Storage of CO2, Smart Proxy Modeling), more than 230 technical papers and carried out more than 60 projects for independents, NOCs and IOCs. He is an SPE Distinguished Lecturer (2007 and 2020) and has been featured four times as a Distinguished Author in SPE’s Journal of Petroleum Technology (JPT 2000 and 2005). He is the founder of SPE’s Technical Section dedicated to AI and machine learning (Petroleum Data-Driven Analytics, 2011). He has been honored by the U.S. Secretary of Energy for his AI
Figure 11: Base Model Volume Mesh Figure 12: Local Volume Mesh VisualizationThe exact cell counts, and anisotropic tetrahedral settings vary between models to ensure theyeach reach at least the recommended 93% grid quality, as calculated, and reported by the flowsolver, Cobalt. General no slip walls were used for the boundary conditions for this project. Theexact grid settings and grid information can be found in Table 2. Table 2: Model Grid Conditions Grid Total Total Growth Model Quality dt (sec) Initial Δ Layers Decay Points
coming in to sightWhen it feels so rightTakes all my mightTo change my mindLook behindAnd be okayWith what I sayAnd what I doSo close to youBut I feel too trueTo myselfPlease give me helpTo move beyondThe feelings so strongThey eat awayHappiness staysDon’t you leaveNo not againPain happensBack in sightNot black and whiteCan I be okayWith all these shades of greyAnother area that might allow students to branch out from the engineering curriculum is free-hand drawing, a drawing that is executed by hand without guiding instruments, measurements, orother aids. Freehand drawing enables visualization of an idea in the form of a sketch. It is also auniversal language designers use to communicate with other participants of a project. That iswhy freehand
coming in to sightWhen it feels so rightTakes all my mightTo change my mindLook behindAnd be okayWith what I sayAnd what I doSo close to youBut I feel too trueTo myselfPlease give me helpTo move beyondThe feelings so strongThey eat awayHappiness staysDon’t you leaveNo not againPain happensBack in sightNot black and whiteCan I be okayWith all these shades of greyAnother area that might allow students to branch out from the engineering curriculum is free-hand drawing, a drawing that is executed by hand without guiding instruments, measurements, orother aids. Freehand drawing enables visualization of an idea in the form of a sketch. It is also auniversal language designers use to communicate with other participants of a project. That iswhy freehand
withthe interest areas of the available alumni resulted in several more protégé/mentor pairings but anumber of interested alumni remained unpaired.All interested students were finally able to complete the required initial training for the programby late October, approximately two months later than planned. Email follow-ups to bothprotégés and mentors in late November found about two-thirds of the pairings working well, andabout one-third of the protégés needing additional guidance or encouragement to maintain theirresponsibilities in the program.Methods – Understanding the Impacts of MentoringThe research component of the project was initially conceptualized as comprising two separatesurvey instruments – one based on the College Student Mentoring
, in December 2012. He received his Ph.D. in Electrical Engineering and Computer Science Department from the Uni- versity of Toledo, Toledo, OH. He worked in the Hardware Oriented Security Lab at the University of Toledo and served as Project Manager with General Electric GE. His research interests include hardware- oriented security and Trust, Machine Learning Algorithms, Optimization Techniques, Neural Networks, and their applications. ©American Society for Engineering Education, 2023 Studies of Autonomous UAV-UGV Teams in Construction Applications: A Survey from Advances and Challenges Perspective Coradino Colasurd
Machine Learning, he has authored four books (Shale Analytics, Data-Driven Reservoir Modeling, Application of Data-Driven Analytics for the Geological Storage of CO2, Smart Proxy Modeling), more than 230 technical papers and carried out more than 60 projects for independents, NOCs and IOCs. He is an SPE Distinguished Lecturer (2007 and 2020) and has been featured four times as a Distinguished Author in SPE’s Journal of Petroleum Technology (JPT 2000 and 2005). He is the founder of SPE’s Technical Section dedicated to AI and machine learning (Petroleum Data-Driven Analytics, 2011). He has been honored by the U.S. Secretary of Energy for his AI-based technical contribution in the aftermath of the Deepwater Horizon