Planning & Building Your Class Schedule How do I read the course descriptions in the college catalog? The course descriptions provide you with basic information about the topics covered in each course. Pay close attention to the course prefix, number, credit hours, course title, prerequisites, co-requisites, content description, and contact hours.Check out the following course description: Prefix BIO 1007 Course Name Anatomy & Physiology I Hours 4 This course involves an introductory study of the structure and function of the human body. A study of cytology, histology and five organ systems (integumentary, skeletal, muscular, nervous, and endocrine) illustrates the relationships between structures and their functions. Laboratory exercises include cat dissection, cadaver demonstration and other materials. Prerequisite: none, but BIO 1200 is recommended for students with a limited science background. IAI:L1 904L back | home | next
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CCR (Corners of Circumscribing Coordinate Rectangle) (rnd-f, rnd-g, then lin-d) f=MinVecX≡(minXx1..minXxn) g≡MaxVecX≡(maxXx1..maxXxn), d≡(g-f)/|g-f| Sequence thru main diagonal pairs, {f, g} lexicographically. For each, create d. Notes: No calculation required to find f and g (assuming f1=MnVec RnGp>4 none start  g1=MxVec RnGp>4 Sub 0 7 vir18... Clus1 1 47 ver30 Sub 0 53 ver49.. Clus2 0 74 set14 SubClus1 Lin>4 none f2=0001 RnGp>4 none CCR-1. Do SpS((x-f)o(x-f)) round gap analysis CCR-2. Do SpS((x-g)o(x-g)) rnd gap analysis. CCR-3. Do SpS((xod)) linear gap analysis. SubCluster2 g2=1110 RnGp>4 none This ends SubClus2 = 47 setosa only Lin>4 none f1=0000 RnGp>4 none g1=1111 RnGp>4 none Lin>4 none f3=0010 RnGp>4 none f2=0001 RnGp>4 none g2=1110 RnGp>4 none Lin>4 none Lin>4 none f3=0010 RnGp>4 none g3=1101 RnGp>4 none Lin>4 none f4=0011 RnGp>4 none f4=0011 RnGp>4 none g4=1100 RnGp>4 none Lin>4 none f5=0100 RnGp>4 none g5=1011 RnGp>4 none Lin>4 none g3=1101 RnGp>4 none g4=1100 RnGp>4 none Lin>4 none f5=0100 RnGp>4 none g5=1011 RnGp>4 none Lin>4 none f6=0101 RnGp>4 none g6=1010 RnGp>4 none f6=0101 RnGp>4 1 19 set26 0 28 ver49 0 31 set42 0 31 ver8 0 32 set36 0 32 ver44 1 35 ver11 0 41 ver13 ver49 0.0 19.8 3.9 21.3 3.9 7.2 Lin>4 none f7=0110 RnGp>4 none g7=1001 RnGp>4 none Lin>4 none f8=0111 RnGp>4 none g8=1000 RnGp>4 none Lin>4 none f7=0110 RnGp>4 1 28 ver13 0 33 vir49 f8=0111 RnGp>4 none set42 ver8 19.8 3.9 0.0 21.6 21.6 0.0 10.4 23.9 21.8 1.4 23.8 4.6 set36 ver44 ver11 21.3 3.9 7.2 10.4 21.8 23.8 23.9 1.4 4.6 0.0 24.2 27.1 24.2 0.0 3.6 27.1 3.6 0.0 g6=1010 RnGp>4 none g7=1001 RnGp>4 none g8=1000 RnGp>4 none Lin>4 none Lin>4 none Lin>4 none MaxVecX and MinVecX have been calculated and residualized when PTreeSetX was captured.) 3. (and 2.?) may be unproductive in finding new subclusters (either because 1 finds almost all or because 2 and/or 3 find the same ones) and could be skipped (very likely if dimension is high, since the main diagonal corners are typically far from X, in a high dimensional vector space and thus the radii of a round gap is large and large radii rnd gaps are near linear, suggesting a will find all the subclusters that b and c would find. 2. good!, else setosa/versicolor+virginica are not separated! 3. is unproductive, suggesting productive to calculate 1., 2. but having done that, 3. will probably not be productive. Next consider only 3. to see if it is as productive as 1.+2. Subc2.1 ver49 ver8 ver44 ver11 CCR is as good as the combo (projection on d appears to be as accurate as the combination of square length of f and of g). This is probably because the round gaps (centered at the corners) are nearly linear by the time they get to the set X itself. To compare the time costs, we note: Combo (p-x)o(p-x) = pop + xox2xop = pop + k=1..nxk2 + k=1..n(-2pk)xk has n multiplications in the second term, n scalar multiplications and n additions in the third term. For both p=f and p=g, then, it takes 2n multiplications, 2n scalar multiplications and 2n additions. For CCR, xod = k=1..n(dk)xk involves n scalar mults and n additions. It appears to be cheaper (timewise) This ends SubClus1 = 95 ver and vir samples only
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CCR(fgd) (Corners of Circumscribing Coordinate Rectangle) f1=minVecX≡(minXx1..minXxn) (0000) g1=MaxVecX≡(MaxXx1..MaxXxn) (1111), d=(g-f)/|g-f| Sequence thru main diagonal pairs, {f, g} lexicographically. For each, create d. f1=MnVec RnGp>4 none start  g1=MxVec RnGp>4 Sub 0 7 vir18... Clus1 1 47 ver30 Sub 0 53 ver49.. Clus2 0 74 set14 SubClus1 Lin>4 none f2=0001 RnGp>4 none CCR(f) Do SpS((x-f)o(x-f)) round gap analysis CCR(g) Do SpS((x-g)o(x-g)) round gap analysis. CCR(d) Do SpS((xod)) linear gap analysis. Notes: No calculation required to find f and g (assuming MaxVecX and minVecX have been calculated and residualized when PTreeSetX was captured.) SubCluster2 g2=1110 RnGp>4 none This ends SubClus2 = 47 setosa only Lin>4 none f1=0000 RnGp>4 none g1=1111 RnGp>4 none Lin>4 none f3=0010 RnGp>4 none f2=0001 RnGp>4 none g2=1110 RnGp>4 none Lin>4 none Lin>4 none f3=0010 RnGp>4 none g3=1101 RnGp>4 none Lin>4 none f4=0011 RnGp>4 none f4=0011 RnGp>4 none g4=1100 RnGp>4 none Lin>4 none f5=0100 RnGp>4 none g5=1011 RnGp>4 none Lin>4 none If the dimension is high, since the main diagonal corners are liekly far from X and thus the large radii make the round gaps nearly linear. g3=1101 RnGp>4 none g4=1100 RnGp>4 none Lin>4 none f5=0100 RnGp>4 none g5=1011 RnGp>4 none Lin>4 none f6=0101 RnGp>4 none g6=1010 RnGp>4 none f6=0101 RnGp>4 1 19 set26 0 28 ver49 0 31 set42 0 31 ver8 0 32 set36 0 32 ver44 1 35 ver11 0 41 ver13 ver49 0.0 19.8 3.9 21.3 3.9 7.2 Lin>4 none f7=0110 RnGp>4 none g7=1001 RnGp>4 none Lin>4 none f8=0111 RnGp>4 none f7=0110 RnGp>4 1 28 ver13 0 33 vir49 f8=0111 RnGp>4 none set42 ver8 19.8 3.9 0.0 21.6 21.6 0.0 10.4 23.9 21.8 1.4 23.8 4.6 g6=1010 RnGp>4 none g7=1001 RnGp>4 none g8=1000 RnGp>4 none g8=1000 RnGp>4 none Lin>4 none set36 ver44 ver11 21.3 3.9 7.2 10.4 21.8 23.8 23.9 1.4 4.6 0.0 24.2 27.1 24.2 0.0 3.6 27.1 3.6 0.0 This ends SubClus1 = 95 ver and vir samples only Lin>4 none Lin>4 none Lin>4 none Subc2.1 ver49 ver8 ver44 ver11
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Course Description Definitions Prefix Course Name Hours BIO 1007 Anatomy & Physiology I 4 Course Description Definitions BIO Course Prefix 1007 Course Number 4 hrs Number of credit hours earned in this course Anatomy & Physiology Course Title Prerequisite: None Courses which must be taken before taking this class IAI:L1 904L This code means that this course is a part of the Illinois Articulation Initiative and meets a portion of General Education Core Curriculum requirements. back | home | next
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We have laid out (somewhat arbitrarily) 16 different combinations of order quantities for the two products (B2:Q3). Each of the columns from B to Q represents a model of one order quantity strategy. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 A Strategy Product 1 ordered Product 2 ordered Demand 1 Demand 2 1 sold full price 2 sold full price 1 sold at refund price 2 sold at refund price Full-price revenue Refund revenue Order cost Profit $ $ $ $ Unit price Unit cost Unit refund value Product 1 Product 2 $10.00 $10.00 $7.50 $7.50 $2.50 $2.50 Product 1 Product 2 B 1 700 900 1000 1200 700 900 0 0 16,000 12,000 4,000 C $ $ $ $ D E F 2 3 4 5 700 700 700 800 1000 1100 1200 900 1000 1000 1000 1000 1200 1200 1200 1200 =MIN(B2,B4) 700 700 700 800 =MIN(B3,B5) 1000 1100 1200 900 =MAX(0,B2-B4) 0 0 0 0 =MAX(0,B3-B5) 0 0 0 0 =SUMPRODUCT(B6:B7,$B21:$B22) 17,000 $ 18,000 $ 19,000 $ 17,000 =SUMPRODUCT(B8:B9,$D21:$D22) $ $ $ =SUMPRODUCT(B2:B3,$C21:$C22) 12,750 $ 13,500 $ 14,250 $ 12,750 =B10+B11-B12 4,250 $ 4,500 $ 4,750 $ 4,250 Means Stdevs 1000 250 G H I J K L M N O P Q 6 800 1000 1000 1200 800 1000 0 0 $ 18,000 $ $ 13,500 $ 4,500 7 800 1100 1000 1200 800 1100 0 0 $ 19,000 $ $ 14,250 $ 4,750 8 800 1200 1000 1200 800 1200 0 0 $ 20,000 $ $ 15,000 $ 5,000 9 900 900 1000 1200 900 900 0 0 $ 18,000 $ $ 13,500 $ 4,500 10 900 1000 1000 1200 900 1000 0 0 $ 19,000 $ $ 14,250 $ 4,750 11 900 1100 1000 1200 900 1100 0 0 $ 20,000 $ $ 15,000 $ 5,000 12 900 1200 1000 1200 900 1200 0 0 $ 21,000 $ $ 15,750 $ 5,250 13 1000 900 1000 1200 1000 900 0 0 $ 19,000 $ $ 14,250 $ 4,750 14 1000 1000 1000 1200 1000 1000 0 0 $ 20,000 $ $ 15,000 $ 5,000 15 1000 1100 1000 1200 1000 1100 0 0 $ 21,000 $ $ 15,750 $ 5,250 16 1000 1200 1000 1200 1000 1200 0 0 $ 22,000 $ $ 16,500 $ 5,500 1200 350 Corr -0.3 Price Cost Refund $10.00 $7.50 $2.50 $10.00 $7.50 $2.50 Decision Models -- Prof. Juran 27
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Not All 20 Point Fonts Are Equal 20  A - Can You Read B - Can You Read C - Can You Read D - Can You Read E - Can You Read F - Can You Read G - Can You Read H - Can You Read I - Can You Read 16  J - Can You Read K - Can You Read L - Can You Read M - Can You Read N - Can You Read O - Can You Read P - Can You Read Q - Can You Read R - Can You Read 14  J - Can You Read K - Can You Read L - Can You Read M - Can You Read O - Can You Read P - Can You Read Q - Can You Read R - Can You Read 12  J - Can You Read K - Can You Read L - Can You Read M - Can You Read N - Can You Read O - Can You Read P - Can You Read Q - Can You Read R - Can You Read My Students Tell Me That They Like The Readability Of Ariel Font I never use fonts smaller than 20 point for lecture.
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