The Most Important Policies Every Student Must Know! The “I” - Incomplete Grade Policy Talk with your Instructor. Explain the situation and ask if an “I” grade might be appropriate.An “Incomplete” (“I”) is a temporary grade assigned when illness, unavoidable absence, or other reasons satisfactory to the instructor prevent completion of the course requirements by the end of the semester. A grade of “I” must be satisfactorily removed, as designated by the instructor, no later than the last class day of the semester following the issuance of the incomplete, or the “I” will be changed to an “F” or fail grade. Important - students cannot re-register for the course to satisfy an "I" grade. back | home | next
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We can form multi-hop relationships from RoloDex cards. AC confident if most of the fF related to every aA, are also related to every cC. F is the Focus Entity and “most” means at least a MinimumConfidence ratio. TD (P=k) CT DT (P=k) CD A confident DThk rule means: 1 0 0 1 0 1 1 … 1 0 0 3 1 … 9 1 0 0 0 … 0 0 1 3 0 0 0 T Is there a high payoff research area here? 1 1 1 … 9 1 0 0 1 … 7 0 0 0 0 0 0 0 1 0 D A confident DPhk rule means: C 1 DP 1 0 0 (T=k) 0 1 1 A D DT (P=h) … 3 T C 1 TP 1 0 0 (D=k) 0 1 1 0 … 3 0 1 … 7 0 0 0 0 0 0 0 1 0 P 1 … 7 Market Basket RoloDex w different Cust-Item card for each day 1 … 0 0 0 … 3 0 0 0 9 0 0 1 1 1 … 3 A I 0 0 0 0 1 1 1 … 0 0 3 … 0 0 0 9 0 1 0 0 1 1 1 … 0 0 9 1 … 3 1 0 0 0 … 0 0 1 9 0 0 0 D A T TD (P=h) 0 0 1 … 3 0 0 0 0 0 0 0 1 0 C Conf Buy12 rule: Custs who Buy A on Day=1, Buy B on Day=2 w hi prob Buys (Day=1) 7 … … … 2 2 2 1 1 1 Pos Term 1 D 2 D 3 1 … 9 1 2 Pos 3 T … 7 1 … 7 1 0 0 1 … 9 0 0 0 0 0 0 0 1 0 … 7 T A high fraction of the Terms, tT in Doc=h which occur at every Pos, p A, also occur at every Pos, pC in Doc=k Is this a high payoff research area? AP PT (D=h) Buys (Day=4) EI DC 1 0 0 1 0 0 0 0 1 1 … 0 1 1 … 0 0 1 1 0 0 3 1 0 0 3 0 0 0 1 … 9 1 … 9 1 0 0 0 … 0 0 1 3 0 0 0 0 0 0 0 0 0 0 1 0 Buys day=3 Protein-Protein Interaction RoloDex (different card for each interaction in some pathway) … 9 1 0 0 0 … 0 0 1 3 0 0 0 Gene Gene Interaction=k I I Buys (Day=2) Conf Buy123 pathway: Most custs who Buy A Day=1 Buy B Day=2. Most of those custs Buy all of D on Day=3 1 9 P A confident PThk rule means: C 1 PT 1 0 0 (D=k) 0 1 1 D 1 AI Buys day=1 … Term=h in every Pos, pA, also have Term=k in every Pos. pC. 0 I 2 Confident TDhk rule means a high fraction of the Documents, dD having in Position=h, every Term, t A, also have in Position=k, every Term, t C. Again, A,C must be singletons. Hi payoff? It suggests in 1-hop ARM: Conf TD rules: hi fraction of Docs, dD having every term t A also have every term t C. Again, A,C must be singletons. Is there a high payoff research area here? 0 C 1 P Conf PDhk rule: A high fraction of the Documents, dD having C 1 PD 1 0 0 (T=k) 0 1 1 1 7 1 Buys (Day=2) 0 1 0 Buys (Day=2) B I 1 1 9 “Buys” pathways? Cust Buys (Day=k) Item 0 Conf TPhk: Hi fraction of pP in Doc=h holding AP PD (T=h) every t A, also hold every t C in Doc=k This only makes sense for A ,C singleton Terms. Also it seems like P would have to be singleton? AT TP (D=h) 1 Hi fraction of Positions, pP which hold Term=h for every doc A, hold Term=k in Pos=p for every doc C AD DP (T=h) … 9 P 0 A high fraction of the terms, tT in Position=h of every doc A, are also in Position=k of every doc C. 1 DTPe k=1..3 PTCd DTPe k=1..9 PDCd DTPe k=1..7 TDRolodexCd 1 … 3 A I 1 0 0 1 0 1 1 … 1 0 0 3 1 … 9 0 0 0 0 0 0 0 1 0 C C Buys (Day=3) Buys (Day=1) Conf Buy1234 pathway: Some customers Buys all of A on Day=1, then most of those customers will Buy all of B on Day=2, then most of those customers will Buy all of D on Day=3 And most of those customers Buy all of E Day=4
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Enter result Enter result Enter result Enter result Enter result Enter result Enter result Enter result Enter result Enter result Passed 6 Failed 4 (1 (1 (1 (1 (1 (1 (1 (1 (1 (1 = = = = = = = = = = pass, pass, pass, pass, pass, pass, pass, pass, pass, pass, 2 2 2 2 2 2 2 2 2 2 = = = = = = = = = = fail): fail): fail): fail): fail): fail): fail): fail): fail): fail): 1 2 2 1 1 1 2 1 1 2 Enter result (1 Enter result (1 Enter result (1 Enter result (1 Enter result (1 Enter result (1 Enter result (1 Enter result (1 Enter result (1 Enter result (1 Passed 9 Failed 1 Raise tuition = = = = = = = = = = pass, pass, pass, pass, pass, pass, pass, pass, pass, pass, 2 2 2 2 2 2 2 2 2 2 = = = = = = = = = = fail): fail): fail): fail): fail): fail): fail): fail): fail): fail): 1 1 1 1 2 1 1 1 1 1 Outline fig02_11.cpp output (1 of 1)  2003 Prentice Hall, Inc. All rights reserved. 37
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Important calendar Dates: 7 Winter 201 ry 5, 2017 a u r b e F – 2017 January 3, 7 Spring 201 ne 5, 2017 Ju – 7 1 0 2 , February 6 1. First day of semester. 1. First day of semester. 2. The last day to add classes. 2. The last day toyou add after that date willclasses. no longer be able to add any course  after that date you will no longer be able to add any course 3. The last day to drop a class with a refund. 3. The last day to drop a class with a refund. 4. The last day to drop a class without a “W” grade on 4.your Thetranscript. last day to drop a class without a “W” grade on your transcript. 5. The last day to drop a class with a ‘W’ grade on your 5.transcript. The last day to drop a class with a ‘W’ grade on your transcript. 6. Final Exams begin. 6. Final Exams begin. Date might be different from regular class meeting.  Date might be different from regular class meeting. 7. Holidays/Non-Instructional Days. 7. Holidays/Non-Instructional Days.
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