High Performance on Specific Licensure Exams: Blue Ridge, Central Carolina, Cleveland, COA, Davidson Cty, McDowell, Robeson, Surry, Wayne, Western BLET Dental Hygiene Massage & Body Work Nuclear Med Tech Radiation Therapy Radiography Real Estate Sales Cosmetology Apprentice Cosmetology Esthetician Detention Piedmont Catawba Valley, CPCC, coastal Carolina, Forsyth, Wayne Cape Fear, Gaston, Pitt, Tri-County, Wake Tech Pitt Forsyth AB Tech, Cape Fear, Fayetteville Tech, Pitt, Rowan-Cabarrus, Southwestern, Stanly, Wake Tech CPCC, Wilkes Blue Ridge, Cape Fear, COA, Isothermal, Lenoir, Stanly AB Tech, Catawba Valley, Coastal Carolina, Davidson County, Fayetteville Tec, Mitchell, Southwestern, Stanly Cape Fear, Fayetteville Tech, McDowell Tech Central Carolina, Coastal Carolina, Craven, Gaston, Halifax, Lenoir, Mayland, Nash, Sandhills, Surry, VanceGranville, Western Piedmont, Wilkes Cape Fear, CPCC, Coastal Carolina, Davidson Cty, Durham Tech, Halifax, Southwestern, Wake Tech, Western Piedmont Cape Fear, Davidson Cty, Durham Tech Cape Fear, Coastal Carolina, Durham Tech, Gaston, McDowell Tech, South Piedmont, Surry, Wake Tech EMT EMT-I EMT-P Physical Therapist Assistant Caldwell Tech, Guilford Tech, Nash Brunswick, Cape Fear, Cleveland, Coastal Carolina, COA, Craven, Durham Tech, Edgecombe, Forsyth, Gaston, Mayland, Rowan-Cabarrus, Sampson, Southeastern, Wayne, Wilson Beaufort Cty, Caldwell, Cape Fear, Carteret, Catawba Valley, Central Carolina, Forsyth Tech, Gaston, Registered Nursing Mitchell, Randolph, Robeson, Sampson, Wilkes Vet Med Tech AB Tech, Central Carolina, Gaston Practical Nursing Hope Opportunity Jobs
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Final Value Stream Map C.S. Mott s Children s Emergency Services Current State Value Stream Map Discharge (75%) Updated 14 February 2017 Start: Order discharge End: Departure from CES Patient Tech: Patient 32% Triage Primary RN Eval Start: RN/Tech takes patient to room/triage bay End: Documentation completed & handoff Start: Nurse arrives in room End: Documentation completed Tech: EMR, headsets Tech: EMR Provider, RN EMR 18 min Diagnosis 25% Screening Process Initial Provider Eval Start: Determine if patient is in right place End: Documentation completion Tech: EMR, headsets Triage RN/Tech Primary RN Pnt Room/Triage Bay Patient Room 9 min 6 min Start: Mid-level provider (student, resident, PA) arrives End: Documentation complete 93.1% Front Desk 4.5 min - Triage & Primary RN Eval. 68% Start: Attending arrives 75% End: Provider presents physical assessment and plan Tech: EMR 75.9% Screener/Clerk/Badger Attending Staffing Order Entry Attending Evaluation Start: Order started End: Order ended Start: Attending arrives End: Attending leaves - Imaging Lab Consultants Tech: Disposition Admit (18%) Start: Attending reviews data End: Enter disposition into EMR Start: Order admit End Departure from CES Treatment Tech: EMR Tech: None Tech: EMR Procedures Medical Administration Nursing Care Teaching Pharmacy Tech: EMR Tech: Provider Mid-Level Provider Attending Physician Mid-Level Provider Attending Physician Patient Room Staffing Area Staffing Area Patient Room 10 min 3 min 4 min 4 min Physician, RN, etc. 23 min 80.5% 83.1% 93.6% 92.7% Patient Room, lab, etc. 94.3% Any Provider EMR Tech: 130 min EMR Start: Triage Nurse takes patient to room End: Primary RN eval and Triage documentation complete - Observation (7%) 88 min Start: Order observation End: Order discharge or admit - Tech: EMR, headsets Tech: Triage RN/Tech/Primary RN Providers, RN Patient Room Pnt Room/Triage Bay 308 min 15 min - 79.1% 1.5 min .3 min 4.5 min 6 min 9 min 6 min 10 min 3 min 4 min 4 min 93 min - Discharge 18 min 23 min Admit 130 min Median Total Time: Discharge LOS = 3.3 hours Admit LOS = 5.5 hours (Collected 10/1/16 – 12/31/16) Total LOS from Map (minutes) Discharged 182.3 Admitted 294.3 Observation 472.3 Total LOS from Map (Hrs) Discharged 3.0 Admitted 4.9 Observation 7.9 Observation 308 min
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PC Lab (Room 114) Team Gold Trogdor Floffy Rainbox Uncorn The Brick !(NaN==NaN)! ↑ ↑ nearly as good as ↑ ↑ SecurityExceptions UnsupportedOperationExceptions NullPointerExceptions ArrayStoreExceptions Egyptian Brackets Baby Got Back Pokemon Exceptions Min-Flow Max-Cut WVU Tech - Orange Iguana Institution Bridgewater College James Madison University Longwood University Longwood University Radford University Radford University University of Virginia University of Virginia University of Virginia University of Virginia Virginia Tech Virginia Tech Virginia Tech Virginia Tech West Virginia University Institute of Technology Location DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114
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Active Perception Jia-Bin Huang Virginia Tech ECE 6554 Advanced Computer Vision
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Supervised Pretraining Jia-Bin Huang Virginia Tech ECE 6554 Advanced Computer Vision
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Colored Petri Net Model [x=Failed, y=Active] output (z); action (Standby); SDEP_R1_C1 output (z); action (Standby); Syn_1 x [x=Active] UNIT 1 y Fail_R1 output (y); action (Failed); x x x T1 Spare output (z); action (Active); y [x=Active] z y output (y); action (Failed); y x x x C2 [x=Failed, y=Active] x z y y z SDEP_R1_C2 u Syn_2 UNIT output (z); action (Standby); CIS Dept., UMass Dartmouth output (b); action (true); T7 y b output (z); action (Standby); BOOL [x=Active] Stop [b=true] b T6 output (y); action (Failed); colset UNIT colset BOOL colset STATE var x, y, z var u var b b System_down Fail_C2 STATE [x=Failed, y=Active] y output (z); action (Standby); x 1`Active STATE x [x=Failed, y=Active] z 1`Standby SDEP_R2_C2 11/19/2007 y output (z); action (Standby); R2 [b=true] [x=Failed orelse y=Failed] output (y); action (Failed); LSH_2 z 1 BOOL b Run Fail_C1 LSH_1 STATE T2 1 Fail_R2 [x=Active] x STATE x [x=Failed, y=Active] R1_or_R2 x [x=Active] 1`Active y [x=Active] [x=Failed, y=Standby] u u 1 b System_up z 1`Active x [x=Active, y=Active, z=Active] y C1 STATE T5 y z R1 x output (b); action (true); SDEP_R2_C1 x y u x [x=Failed, y=Active] z [x=Failed] output (b); action (true); x = unit with e; = bool; = with Active | Standby | Failed; : STATE; : UNIT; : BOOL; 16
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Deadlock in CPN [x=Failed, y=Active] output (z); action (Standby); SDEP_R1_C1 output (z); action (Standby); Syn_1 x [x=Active] UNIT 1 y Fail_R1 output (y); action (Failed); x x x T1 Spare output (z); action (Active); y [x=Active] z y output (y); action (Failed); y x x x C2 [x=Failed, y=Active] x z y y z SDEP_R1_C2 u Syn_2 UNIT output (z); action (Standby); CIS Dept., UMass Dartmouth output (b); action (true); T7 y b output (z); action (Standby); BOOL [x=Active] Stop [b=true] b T6 output (y); action (Failed); colset UNIT colset BOOL colset STATE var x, y, z var u var b b System_down Fail_C2 STATE [x=Failed, y=Active] y output (z); action (Standby); x 1`Active STATE x [x=Failed, y=Active] z 1`Standby SDEP_R2_C2 11/19/2007 y output (z); action (Standby); R2 [b=true] [x=Failed orelse y=Failed] output (y); action (Failed); LSH_2 z 1 BOOL b Run Fail_C1 LSH_1 STATE T2 1 Fail_R2 [x=Active] x STATE x [x=Failed, y=Active] R1_or_R2 x [x=Active] 1`Active y [x=Active] [x=Failed, y=Standby] u u 1 b System_up z 1`Active x [x=Active, y=Active, z=Active] y C1 STATE T5 y z R1 x output (b); action (true); SDEP_R2_C1 x y u x [x=Failed, y=Active] z [x=Failed] output (b); action (true); x = unit with e; = bool; = with Active | Standby | Failed; : STATE; : UNIT; : BOOL; 18
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Binning Methods for Data Smoothing  Sorted data for price (in dollars): 4, 8, 9, 15, 21, 21, 24, 25, 26, 28, 29, 34 * Partition into equal-frequency (equi-depth) bins: - Bin 1: 4, 8, 9, 15 - Bin 2: 21, 21, 24, 25 - Bin 3: 26, 28, 29, 34 * Smoothing by bin means: - Bin 1: 9, 9, 9, 9 - Bin 2: 23, 23, 23, 23 - Bin 3: 29, 29, 29, 29 * Smoothing by bin boundaries: - Bin 1: 4, 4, 4, 15 - Bin 2: 21, 21, 25, 25 - Bin 3: 26, 26, 26, 34 11/7/2012 ISC471 - HCI571 Isabelle Bichindaritz 37
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PC Lab (Room 114) Team Name Norbert Bridgewater Talon Ramrod Floffy Rainbox Unicorn || barely better than || Dysfunctional programmers :-P :-/ :-D :-) Java.land.NullPointerExecption Team5 The Honorable Mentions WVU Tech – Young Turks University Bluefield State College Bridgewater College Longwood University Longwood University Radford University Radford University University of Virginia University of Virginia University of Virginia University of Virginia Virginia Tech Virginia Tech Virginia Tech West Virginia University
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UNIX Lab (Room 225) Team Institution Crimson Elwoods I/O, not 1/0 ↑ ↑ almost as good as ↑ ↑ blarg bar grunt qux flarp ~ \ Team 3 Bridgewater College Longwood University Radford University Radford University University of Virginia University of Virginia University of Virginia University of Virginia University of Virginia Virginia Tech Virginia Tech Virginia Tech Location DA225 DA225 DA225 DA225 DA225 DA225 DA225 DA225 DA225 DA225 DA225 DA225
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UNIX Lab (Room 225) Team Institution Location Crimson Bridgewater College DA225 TeamTeamTeamRamrod Longwood University DA225 Chocolate Pandas Longwood University DA225 ↓ ↓ barely better than ↓ ↓ Radford University DA225 Dark Haven Radford University DA225 RuntimeExceptions University of Virginia DA225 ArithmeticExceptions University of Virginia DA225 ClassNotFoundExceptions University of Virginia DA225 NoSuchMethodExceptions University of Virginia DA225 Terrorbyte Virginia Tech DA225 BackPack Virginia Tech DA225 WVU Tech - The Young Turks West Virginia University Institute of Technology DA225
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UNIX Lab (Room 225) Team Name Bridgewater Crimson Bridgewater Gold Flying Mongooses Death Eaters !(NaN==NaN)! Niner Data Miners :-O :-? :-3 :-( VT Team 4 Team Poland WVU Tech – Old Hands University Bridgewater College Bridgewater College Longwood University Longwood University Radford University University of North Carolina University of Virginia University of Virginia University of Virginia University of Virginia Virginia Tech Virginia Tech West Virginia University
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Final Value Stream Map (Part 1) C.S. Mott s Children s Emergency Services Current State Value Stre Updated 14 February 2017 Patient 32% Triage Primary RN Eval Start: RN/Tech takes patient to room/triage bay End: Documentation completed & handoff Start: Nurse arrives in room End: Documentation completed Tech: EMR, headsets Tech: EMR 25% Screening Process Start: Determine if patient is in right place End: Documentation completion Tech: EMR, headsets Initial Provider Eval Triage RN/Tech Primary RN Pnt Room/Triage Bay Patient Room 9 min 6 min 75.9% Screener/Clerk/Badger Front Desk 93.1% 4.5 min - 68% Triage & Primary RN Eval. Start: Triage Nurse takes patient to room End: Primary RN eval and Triage documentation complete Tech: EMR, headsets Triage RN/Tech/Primary RN Pnt Room/Triage Bay 15 min 79.1% Start: Mid-level provider (student, resident, PA) arrives End: Documentation complete Tech: EMR Attending Staffing Start: Attending arrives 75% End: Provider presents physical assessment and plan Tech: EMR Order Entry Attending Evaluation Start: Order started End: Order ended Start: Attending arrives End: Attending leaves Tech: EMR Tech: None Mid-Level Provider Attending Physician Mid-Level Provider Attending Physician Patient Room Staffing Area Staffing Area Patient Room 10 min 3 min 4 min 4 min 80.5% 83.1% 93.6% 92.7%
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So…Where Have You Been? In this assignment, I would like you to help me compile a composite profile of Thinking Geographically students’ geographic experience. Attached are three blank maps: one of Virginia’s localities; one of the United States; and one of the world (with enlarged insets for Europe and the Middle East). On each, shade in all of the localities, states, and countries you have traveled through or visited. You must have been on the ground in each locality, state, or country; airport layovers or airport hotel stays and travel through by train do not count!. Use whatever kind of marker you like (I prefer the medium highlighters with sharp and wide surfaces, but marking pens that won’t bleed through, colored pencils, and even crayons will do), as long as it’s easily seen on the maps. Virginia map – (1) color-in the localities you have been in and/or through. You may need to consult a Virginia highway map to figure out which Commonwealth localities you’ve experienced. For example, if you’ve been from Fairfax County to Longwood via US 15, from north to south, you’ve been through Fairfax, Prince William, Fauquier, Culpeper, Madison, Orange, Louisa, Fluvanna, Buckingham, and Prince Edward Counties. From the City of Richmond to Virginia Beach via I-64, I-664, and I-264/Virginia Beach Expressway, you would have been in Richmond City, Henrico, New Kent, James City, and York Counties, and Newport News, Hampton, Norfolk, and Virginia Beach Cities. All of the places you’ve been in Virginia should be contiguous (strung together) unless you flew/parachuted in, came in by boat, or snuck in through a neighboring state. If you’ve been to all but a handful of localities, you may mark those you have not been to, as long as you make a note of that on the map. (2) count up and record the number of localities you have been to/through, divide that number by 133, multiply by 100, and record the percentage of localities you’ve been to in the space provided (all told, you’ve probably been to more of Virginia than you realize – that’s part of the point of this!); (3) write in what you consider your home locality (probably where you graduated high school) in the space provided and indicate it with a darker color or black on the map (if you’re from out-of-state, just leave it blank); (4) check the appropriate box for urban/suburban/small town/rural (be aware that just because your locality has the work “city” in its title doesn’t necessarily mean it’s urban – which means built-up); and (5) use a line pattern to indicate the locality you most want to begin your teaching career in. US map – (1) color the states you’ve been to/through (remember: airports and train travel don’t count), darken/blacken in your home state; (2) write in your birthplace state (for most of you, that probably will be Virginia) in the space provided and blacken/darken it in on the map; (3) tally and record the number of states you’ve been to/through (including the District of Columbia and your home state), divide by 51, multiply by 100, and that’s the percentage of states you’ve been to and enter that number in the space provided; (4) with a horizontal line pattern for your father and a vertical line pattern for your mother, mark your parents’ birth states on the map (if it’s the same state, you’ll have a crisscrossed pattern) World map – (1) color the countries you’ve been to other than the U.S. (even if you’ve only been to a coastal resort, you’ve been to that country, but again, airport layovers don’t count); (2) tally and record the number of countries other than the U.S. that you’ve been to, divide by 205, multiply by 100, and that’s the percentage of countries other than the US that you’ve visited. Enter that number in the space provided. I’ve provided inset maps for Europe and the Middle East that show more detail if you’ve been to a small country that’s difficult to see. If you’ve been to an island country too small to be seen, list those on the map. You do not need to mark the U.S. on this map. I will tally up the total results and produce maps showing the percentage of students across all three sections who have been to/through particular Virginia localities, U.S. states, and other countries. This will give us an idea of how well-traveled you all are. Value: up to 15 points (12 necessary items, one point each + 3 possible neatness points) Due date: Wednesday, February 10, 2016 DO NOT INCLUDE THIS COVER SHEET WHEN YOU HAND THE MAPS IN! 1
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Diploma Diploma VOCATIONAL/DIPLOMAPath VOCATIONAL/DIPLOMAPath DMA DMA 010-030 010-030 MAT MAT 110 110 Vocational Vocational AAS AAS Example Example Programs Programs -Construction Tech Construction Tech Computer Tech Computer Tech Electronics Electronics Tech Tech TECHPath TECHPath DMA DMA 010-050 010-050 (STEM) (STEM) MAT MAT 121 121 ** Example Example Programs Programs Engineering Engineering Tech Tech Architectural Architectural Tech Tech MAT MAT 122 122 MAT MAT 223 223 Advisement Advisement and and Assessment Assessment MAT MAT 172 172 ** CALCULUSPath CALCULUSPath DMA DMA 010-050 010-050 DMA 060-080 DMA 060-080 (STEM) (STEM) ** MAT MAT 171 171 AS AS Degree Degree (Some (Some requiring requiring higher higher math math courses) courses) Engineering, Engineering, Science, Science, Mathematics Mathematics MAT MAT 272, 272, 273, 273, 285 285 ** MAT MAT 263 263 OR OR Statistics Statistics (( MAT MAT 152) 152) Statistics Statistics (MAT (MAT 152) 152) QUANTPath QUANTPath DMA DMA 010-050 010-050 MAT MAT 271 271 AA-AS AA-AS Degrees Degrees Business Business Transfer Transfer AA AA Degree Degree Behavioral Behavioral & & Social Social Science Science Communication Communication AAS Example Programs AAS Example Programs Health Health Sciences? Sciences? Public Public Service? Service? QUANT QUANT Lit Lit ** (MAT (MAT 143) 143) AA AA Degree Degree AAS AAS Example Example Programs Programs Health Health Science Science Education Education Pubic Pubic Service Service
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The Course Mix • In 2013-14 MMCC ran 347 different course titles – 5 had more than 1,000 students enrolled – 301 had less than 100 students enrolled SPE.101 PSY.212 CIS.13 0 NUR.1 50 ECE.101 ART.1 15 MAT.2 17 PTA.1 05 ALH.212 PTA.1 26 ART.2 30 PSY.283 RAD.2 21 PSY.285 PED.103 BIS.12 6 HED.130 PSY.101 ECO.202 BIS.2 64 NUR.151 ART.135 BUS.231 WLD.130 PTA.106 ALH.213 PTA.130 CIS.1 32 SPE.105 RAD.226 AMS.126 PED.110 BIS.2 34 HED.134 MAT.104 PHL.201 HIS.102 GEL.101 MAT.126 MAT.102 BIS.138 PTA.110 PED.255 PTA.131 PSY.2 95 AMS.214 RAD.230 ACC.252 PHT.115 CIS.225 PED.119 CIS.10 0 PSY.205 BUS.162 NUR.1 21 WLD.125 ECE.112 BIS.25 0 PTA.111 AMS.125 PTA.140 SOC.250 AMS.223 HRA.1 98 CJS.223 ENG.225 ALH.125 PED.203 ENG.111 CHM.105 ACC.211 NUR.124 CIS.221 CIS.135 DRF.210 PTA.115 HRA.116 AMS.2 06 DRF.201 ART.240 HRA.220 BIO.11 0 SPE.205 NUR.133 PED.226 MAT.105 SPN.101 MAT.116 BUS.202 PSY.240 RAD.110 ART.2 15 PTA.1 16 ACC.251 AMS.22 2 HRA.102 CJS.222 ACC.205 BIO.201 DRF.2 50 HUM.251 ENG.202 ENG.222 HIS.21 1 ENG.112 HUM.102 BIS.142 IND.101 ECE.114 HUM.210 CHM.106 HRA.106 HRA.104 CJS.23 3 BUS.1 05 PHT.113 WLD.226 CIS.271 HIS.25 1 BIO.101 BIO.142 HIS.212 REL.111 PSY.281 IND.113 RAD.215 AMS.10 4 ALH.214 HRA.215 ART.245 PHY.212 CIS.2 90 PHT.114 ACC.280 ECE.150 MID.103 SOC.101 SSC.200 SOC.202 SOC.200 DRF.101 DRF.220 DRF.105 HRA.223 ALH.230 CJS.221 CIS.255 PHT.104 ECE.208 REL.2 91 ART.247 TAI.207 AMS.232 ENG.110 ENG.104 HUM.101 BIS.12 0 BIS.12 7 ALH.112 ART.2 35 WLD.126 RAD.1 15 EDU.290 CIS.26 0 PHT.1 05 PED.132 REL.292 BIS.23 8 TAI.20 8 AMS.232 ALH.10 0 POL.20 1 BIS.164 BIS.140 CJS.202 BIS.200 CJS.220 WLD.245 RAD.130 BIO.131 CJS.205 PHT.106 RAD.225 ART.206 CIS.295 MAT.230 WLD.227 MAT.21 2 MAT.12 4 NUR.22 1 NUR.12 5 SOC.289 CJS.204 PHY.103 BUS.225 AMS.124 BIO.245 HRA.10 5 RAD.20 0 PHL.210 BIS.230 SOC.291 HED.132 BUS.151 BIO.210 NUR.222 NUR.128 EDU.107 BIS.1 36 ART.137 CIS.1 75 HRA.108 MAT.060 HRA.204 RAD.201 SOC.222 ECE.207 TAI.2 77 NUR.132 ECO.20 1 HIS.223 NUR.223 NUR.152 PHY.101 BUS.25 0 ECE.1 13 ENG.205 HRA.205 ALH.22 0 HRA.285 HUM.183 SSC.1 11 JOR.120 MAT.226 PED.14 5 HUM.200 BUS.122 NUR.224 SPN.102 SPE.257 CJS.203 AMS.205 AMS.110 HRA.225 RAD.175 IND.116 BUS.241 AMS.116 MID.102 HED.136 WLD.246 PHL.220 ART.105 CHM.111 PSC.101 PTA.101 BIS.254 ART.211 ART.152 WLD.127 RAD.180 CIS.195 CJS.206 ART.236 PSY.103 ENG.206 ART.252 MAT.101 HED.1 15 DRF.120 NUR.228 NUR.127 SPN.201 BIS.240 ART.239 WLD.225 ENG.0 98 CJS.231 CJS.224 BIS.236 AMS.232 MID.1 01 BUS.289 HIS.10 1 MUS.275 NUR.227 ART.130 NUR.130 TAI.275 BIS.255 BUS.1 71 BIS.260 REL.290 CJS.23 2 ECE.201 BIO.135 ACC.2 61 PHL.250 CIS.280 SCI.20 0 SOC.220 NUR.2 25 CJS.200 NUR.1 34 PHY.211 BUS.255 FRN.101 CIS.27 0 DRF.280 ECE.20 2 GER.101 MAT.2 25 ART.254 HRA.2 15 CJS.203 BIO.141 BUS.153 NUR.226 BIO.100 MAT.170 IND.14 0 CJS.201 BIO.203 ALH.250 HRA.240 ECE.20 6 RAD.217 PHY.105 BUS.291 IND.10 2 FRN.102 ACC.201 ART.1 10 ECO.110 ANT.170 HUM.205 ART.2 05 CIS.19 0 CHM.112 PTA.1 25 ACC.231 ENG.213 RAD.2 20 POL.250 CIS.17 6 ART.2 41 PHY.1 06
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PC Lab (Room 114) Team Floofy Rainbox Uncorn Gold Sleep Deficit ↓ ↓ barely better than ↓ ↓ The Runtime Exceptionals bletch baz foo thud snork £ \b SyntacticSugar ArrayList Institution Longwood University Bridgewater College Longwood University Radford University Radford University University of Virginia University of Virginia University of Virginia University of Virginia University of Virginia Virginia Tech Virginia Tech Washington and Lee University Washington and Lee University Location DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114 DA114
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Movement Optimization  Goal: Take least amount of time positioning arm from bin to bin.  Function “bin_to_bin” calculates the distance of clockwise and counter-clockwise paths from the current bin to the target bin. Nested if statements determine whether to move clockwise or counter-clockwise.  Distance 1 = bigger bin – smaller bin;  Distance 2 = (number of bins – bigger bin) + smaller bin;
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