Examinations Based on assigned readings and LOS; over 50 people involved; each exam is six hours in length Exam Format Development and Review I 100% multiple Choice • Written by professional staff and consultants • Internal and external review II III 100% item set • Written by Council of Examiners 50% item set (COE) 50% essay • Internal and external review, including global CFA Institute
View full slide show




















bond 1.00% 0.99% 0.95% 0.89% 0.81% 0.71% 0.59% 0.45% 0.31% 0.16% 0.00% s&p500 0.00% 0.16% 0.31% 0.45% 0.59% 0.71% 0.81% 0.89% 0.95% 0.99% 1.00% 100.080 100.750 100.000 100.280 100.692 100.025 100.091 100.081 100.081 109.817 109.100 109.240 100.110 100.617 100.000 100.264 100.582 100.004 100.069 100.058 100.057 108.012 108.530 108.577 100.141 100.452 100.000 100.217 100.495 100.000 100.066 100.038 100.040 106.049 107.784 107.718 100.157 100.276 100.000 100.137 100.467 100.021 100.093 100.021 100.040 104.041 106.995 106.790 100.146 100.143 100.000 100.051 100.607 100.087 100.162 100.027 100.082 102.318 106.548 106.179 100.131 100.151 100.000 100.079 101.156 100.242 100.288 100.120 100.210 101.614 107.355 106.789 100.170 100.359 100.000 100.370 102.251 100.462 100.425 100.338 100.415 103.003 110.991 110.180 100.263 100.665 100.000 100.559 103.114 100.517 100.396 100.477 100.496 106.862 119.270 118.149 100.400 100.834 100.088 100.000 102.362 100.471 100.434 100.517 100.467 111.456 135.055 133.594 101.346 101.361 101.198 100.000 101.509 101.255 101.536 101.334 101.324 114.216 170.918 170.345 100.402 100.427 100.310 100.000 100.405 100.132 100.288 100.150 100.296 107.440 142.314 125.169 BEKK DIAGONAL - VT BEKK SCALAR BEKK SCALAR - VT DCC-ASY-GEN DCC-ASYMMETRIC DCC-GENERALIZED DCC-IMA DCC-MR DCC-RANK FIXED (all sample) OGARCH 1 OGARCH 2 Average 100.159 100.403 100.000 100.033 101.093 100.147 100.204 100.142 100.174 106.648 120.267 118.258 Table 157: sample variance of minimum variance portfolios subject to a required return of 1 (sample: 1001-end) 39
View full slide show




NSU’s NSU’s 17 17 Academic Academic Institutes Institutes  Brief Therapy Institute  Lifelong Learning Institute  Community Resolution Services  National Coral Reef Institute  Criminal Justice Institute Brief Therapy Institute   The Eye Institute Community Resolution Services  Options National Coral Reef Institute  Guy Harvey Research Institute Criminal Justice Institute     Hudson The EyeInstitute Instituteof Entrepreneurship and Executive Education Guy Harvey Research Institute  Institute of Trauma and Victimization Hudson Institute of International Institute Franchise Entrepreneurship andfor Executive  Education Education  Southeast Rumbaugh-Goodwin Institute for Institute for Cross-  Institute of Trauma and Victimization   Tyler Institute Institute The Language  International Institute for Franchise Education   Women’s Tyler Institute Resource       National Lifelong Learning Institute Institute for Educational Rumbaugh-Goodwin Institute for National Institute for Educational Cancer Research Options CancerCounseling Research Cultural Southeast Institute for Cross South Florida Ocean Cultural Counseling Measurement Center  South Florida Ocean The LanguageCenter Institute Measurement Institute Women’s Resource Institute
View full slide show




Strategic Goal 5: Human Resources ORIGINAL GOALS 2010: NEW GOALS 2020: (needs further revision) For the Faculty: Trinity will develop its human resources to achieve the levels of performance quality in all areas that are necessary for institutional success. • A. Faculty • • • • Alignment of the size of the full-time and part-time faculty in each school to the size of enrollments in programs, consistent with disciplinary standards Continuing improvement in full-time faculty compensation aligned with benchmarks; Creation of a compensation plan for adjunct faculty that recognizes and sustains academic talent; Development of a more comprehensive faculty development program Development of the Faculty Handbook policies in relation to contemporary realities for workload, delivery systems, technological innovation and professional development.  Alignment of the size of the full-time and part-time faculty in each school to the size of enrollments in programs, consistent with disciplinary standards and industry benchmarks for program staffing;  Continuing improvement in full-time faculty compensation aligned with benchmarks;  Creation of a compensation plan for adjunct faculty that recognizes and sustains academic talent;  Development of a more comprehensive faculty development program to provide continuous education in pedagogy, curriculum reform, classroom management techniques, research and scholarship, use of technological tools, and ongoing professional enhancements for the faculty;  Development of the Faculty Handbook policies in relation to contemporary realities for workload, delivery systems, technological innovation and professional development. For the Staff: • • • • Continuing development of the staff performance assessment system Continuing development of the staff professional development programs to improve staff knowledge, skills and competencies in supervision and management, technology and applications, teamwork and project planning, Development of the Wage and Salary Plan to provide greater flexibility in the recognition of staff performance tied to goals; Promotion of a climate for innovation and crossfunctional teamwork among all administrative departments, and with faculty, to improve Trinity’s ability to recruit and retain students successfully. B. Staff  Continuing development of the staff performance assessment system including production of management data based on assessments that provide targets for staff development and compensation planning;  Continuing development of the Trinity Institute staff professional development programs to improve staff knowledge, skills and competencies in supervision and management, technology and applications, teamwork and project planning, and related skill sets;  Development of the Wage and Salary Plan to provide greater flexibility in the recognition of staff performance tied to goals;  •Promotion of a climate for innovation and cross-functional teamwork among all administrative departments, and with faculty, to improve Trinity’s ability to recruit and retain students successfully. 27
View full slide show




bond 1.00% 0.99% 0.95% 0.89% 0.81% 0.71% 0.59% 0.45% 0.31% 0.16% 0.00% s&p500 0.00% 0.16% 0.31% 0.45% 0.59% 0.71% 0.81% 0.89% 0.95% 0.99% 1.00% 100.511 100.931 100.000 100.253 100.625 100.402 100.458 112.560 104.676 120.472 111.264 100.462 101.745 100.557 101.014 100.000 100.176 100.481 100.330 100.364 112.188 104.607 117.156 109.198 100.442 101.654 100.592 101.162 100.000 100.112 100.330 100.260 100.276 111.464 104.427 113.237 106.905 100.480 101.546 100.561 101.393 100.000 100.062 100.170 100.168 100.190 110.313 104.131 108.851 104.490 100.536 101.422 100.392 101.578 100.000 100.017 100.005 100.045 100.093 108.717 103.743 104.476 102.268 100.524 101.277 100.328 101.471 100.012 100.079 100.000 100.073 100.105 106.990 103.500 101.517 101.107 100.512 101.239 100.636 101.218 100.000 100.390 100.411 100.524 100.441 105.665 103.734 102.748 102.429 100.644 101.479 100.674 100.912 100.000 100.859 101.066 101.155 101.006 104.578 104.064 110.842 106.870 100.639 101.836 100.076 100.534 100.000 101.284 101.439 101.407 101.385 104.130 103.176 121.875 112.237 100.183 102.002 100.601 100.815 101.616 101.368 101.574 101.333 101.520 110.939 101.852 123.302 114.554 100.000 101.743 100.498 101.415 101.151 100.000 100.297 100.245 100.081 114.037 107.580 109.876 107.572 100.197 102.290 EXP-SM MA(20) MA(100) DCC-IMA (recursive) DCC-MR (recursive) DCC-ASY (recursive) DCC-RANK (recursive) OGARCH1 (recursive) OGARCH2 (recursive) FIXED (sample 1-1000) FIXED (daily update) DCC-ASY-GEN (recursive) DCC-GEN (recursive) Average 100.238 100.874 100.000 100.165 100.328 100.287 100.285 108.954 103.868 111.942 106.909 100.165 101.400 Table 158: sample variance of minimum variance portfolios subject to a required return of 1 (sample: 1001-end) 42
View full slide show




National Institutes of Health Office Officeof ofthe theDirector Director National NationalInstitute Institute on onAging Aging National NationalInstitute Institute on onAlcohol AlcoholAbuse Abuse and andAlcoholism Alcoholism National NationalInstitute Institute of ofAllergy Allergyand and Infectious InfectiousDiseases Diseases National NationalInstitute Institute of ofArthritis Arthritisand and Musculoskeletal Musculoskeletal and andSkin SkinDiseases Diseases National NationalCancer Cancer Institute Institute National NationalInstitute Institute of ofChild ChildHealth Health and andHuman Human Development Development National NationalInstitute Instituteon on Deafness Deafnessand andOther Other Communication Communication Disorders Disorders National NationalInstitute Institute of ofDental Dentaland and Craniofacial Craniofacial Research Research National NationalInstitute Institute of ofDiabetes Diabetesand and Digestive Digestiveand and Kidney KidneyDiseases Diseases National NationalInstitute Institute on onDrug DrugAbuse Abuse National NationalInstitute Institute of ofEnvironmental Environmental Health HealthSciences Sciences National NationalEye Eye Institute Institute National NationalInstitute Institute of ofGeneral General Medical MedicalSciences Sciences National NationalHeart, Heart, Lung, Lung,and andBlood Blood Institute Institute National NationalHuman Human Genome GenomeResearch Research Institute Institute National NationalInstitute Institute of ofMental MentalHealth Health National NationalInstitute Institute of ofNeurological Neurological Disorders Disordersand and Stroke Stroke National NationalInstitute Institute of ofNursing NursingResearch Research National NationalInstitute Instituteof of Biomedical BiomedicalImaging Imaging and andBioengineering Bioengineering National NationalCenter Center for forComplementary Complementary and andAlternative Alternative Medicine Medicine Fogarty Fogarty International International Center Center National NationalCenter Center for forResearch Research Resources Resources National NationalLibrary Library of ofMedicine Medicine National NationalCenter Centeron on Minority Health Minority Healthand and Health HealthDisparities Disparities Clinical ClinicalCenter Center Center Centerfor for Information Information Technology Technology Center for Scientific Review
View full slide show




24/42: Topic 3.3 – Discrete Choice; The Multinomial Logit Model +---------------------------------------------------+ | Elasticity averaged over observations.| | Attribute is INVT in choice AIR | | Mean St.Dev | | * Choice=AIR -.2055 .0666 | | Choice=TRAIN .0903 .0681 | | Choice=BUS .0903 .0681 | | Choice=CAR .0903 .0681 | +---------------------------------------------------+ | Attribute is INVT in choice TRAIN | | Choice=AIR .3568 .1231 | | * Choice=TRAIN -.9892 .5217 | | Choice=BUS .3568 .1231 | | Choice=CAR .3568 .1231 | +---------------------------------------------------+ | Attribute is INVT in choice BUS | | Choice=AIR .1889 .0743 | | Choice=TRAIN .1889 .0743 | | * Choice=BUS -1.2040 .4803 | | Choice=CAR .1889 .0743 | +---------------------------------------------------+ | Attribute is INVT in choice CAR | | Choice=AIR .3174 .1195 | | Choice=TRAIN .3174 .1195 | | Choice=BUS .3174 .1195 | | * Choice=CAR -.9510 .5504 | +---------------------------------------------------+ | Effects on probabilities of all choices in model: | | * = Direct Elasticity effect of the attribute. | +---------------------------------------------------+ Note the effect of IIA on the cross effects. Own effect Cross effects Elasticities are computed for each observation; the mean and standard deviation are then computed across the sample observations.
View full slide show




34/42: Topic 3.3 – Discrete Choice; The Multinomial Logit Model +---------------------------------------------------+ | Elasticity averaged over observations.| | Attribute is INVT in choice AIR | | Mean St.Dev | | * Choice=AIR -.2055 .0666 | | Choice=TRAIN .0903 .0681 | | Choice=BUS .0903 .0681 | | Choice=CAR .0903 .0681 | +---------------------------------------------------+ | Attribute is INVT in choice TRAIN | | Choice=AIR .3568 .1231 | | * Choice=TRAIN -.9892 .5217 | | Choice=BUS .3568 .1231 | | Choice=CAR .3568 .1231 | +---------------------------------------------------+ | Attribute is INVT in choice BUS | | Choice=AIR .1889 .0743 | | Choice=TRAIN .1889 .0743 | | * Choice=BUS -1.2040 .4803 | | Choice=CAR .1889 .0743 | +---------------------------------------------------+ | Attribute is INVT in choice CAR | | Choice=AIR .3174 .1195 | | Choice=TRAIN .3174 .1195 | | Choice=BUS .3174 .1195 | | * Choice=CAR -.9510 .5504 | +---------------------------------------------------+ | Effects on probabilities of all choices in model: | | * = Direct Elasticity effect of the attribute. | +---------------------------------------------------+ Behavioral Implication of IIA Own effect Cross effects Note the effect of IIA on the cross effects. Elasticities are computed for each observation; the mean and standard deviation are then computed across the sample observations.
View full slide show




26/62: Topic 3.3 – Discrete Choice; The Multinomial Logit Model +---------------------------------------------------+ | Elasticity averaged over observations.| | Attribute is INVT in choice AIR | | Mean St.Dev | | * Choice=AIR -.2055 .0666 | | Choice=TRAIN .0903 .0681 | | Choice=BUS .0903 .0681 | | Choice=CAR .0903 .0681 | +---------------------------------------------------+ | Attribute is INVT in choice TRAIN | | Choice=AIR .3568 .1231 | | * Choice=TRAIN -.9892 .5217 | | Choice=BUS .3568 .1231 | | Choice=CAR .3568 .1231 | +---------------------------------------------------+ | Attribute is INVT in choice BUS | | Choice=AIR .1889 .0743 | | Choice=TRAIN .1889 .0743 | | * Choice=BUS -1.2040 .4803 | | Choice=CAR .1889 .0743 | +---------------------------------------------------+ | Attribute is INVT in choice CAR | | Choice=AIR .3174 .1195 | | Choice=TRAIN .3174 .1195 | | Choice=BUS .3174 .1195 | | * Choice=CAR -.9510 .5504 | +---------------------------------------------------+ | Effects on probabilities of all choices in model: | | * = Direct Elasticity effect of the attribute. | +---------------------------------------------------+ Note the effect of IIA on the cross effects. Own effect Cross effects Elasticities are computed for each observation; the mean and standard deviation are then computed across the sample observations.
View full slide show




38/62: Topic 3.3 – Discrete Choice; The Multinomial Logit Model +---------------------------------------------------+ | Elasticity averaged over observations.| | Attribute is INVT in choice AIR | | Mean St.Dev | | * Choice=AIR -.2055 .0666 | | Choice=TRAIN .0903 .0681 | | Choice=BUS .0903 .0681 | | Choice=CAR .0903 .0681 | +---------------------------------------------------+ | Attribute is INVT in choice TRAIN | | Choice=AIR .3568 .1231 | | * Choice=TRAIN -.9892 .5217 | | Choice=BUS .3568 .1231 | | Choice=CAR .3568 .1231 | +---------------------------------------------------+ | Attribute is INVT in choice BUS | | Choice=AIR .1889 .0743 | | Choice=TRAIN .1889 .0743 | | * Choice=BUS -1.2040 .4803 | | Choice=CAR .1889 .0743 | +---------------------------------------------------+ | Attribute is INVT in choice CAR | | Choice=AIR .3174 .1195 | | Choice=TRAIN .3174 .1195 | | Choice=BUS .3174 .1195 | | * Choice=CAR -.9510 .5504 | +---------------------------------------------------+ | Effects on probabilities of all choices in model: | | * = Direct Elasticity effect of the attribute. | +---------------------------------------------------+ Behavioral Implication of IIA Own effect Cross effects Note the effect of IIA on the cross effects. Elasticities are computed for each observation; the mean and standard deviation are then computed across the sample observations.
View full slide show




| Elasticity averaged over observations. | | Attribute is INVC in choice AIR | | Decomposition of Effect if Nest Total Effect| | Trunk Limb Branch Choice Mean St.Dev| | Branch=PRIVATE | | * Choice=AIR .000 .000 -2.456 -3.091 -5.547 3.525 | | Choice=CAR .000 .000 -2.456 2.916 .460 3.178 | | Branch=PUBLIC | | Choice=TRAIN .000 .000 3.846 .000 3.846 4.865 | | Choice=BUS .000 .000 3.846 .000 3.846 4.865 | +-----------------------------------------------------------------------+ | Attribute is INVC in choice CAR | | Branch=PRIVATE | | Choice=AIR .000 .000 -.757 .650 -.107 .589 | | * Choice=CAR .000 .000 -.757 -.830 -1.587 1.292 | | Branch=PUBLIC | | Choice=TRAIN .000 .000 .647 .000 .647 .605 | | Choice=BUS .000 .000 .647 .000 .647 .605 | +-----------------------------------------------------------------------+ | Attribute is INVC in choice TRAIN | | Branch=PRIVATE | | Choice=AIR .000 .000 1.340 .000 1.340 1.475 | | Choice=CAR .000 .000 1.340 .000 1.340 1.475 | | Branch=PUBLIC | | * Choice=TRAIN .000 .000 -1.986 -1.490 -3.475 2.539 | | Choice=BUS .000 .000 -1.986 2.128 .142 1.321 | +-----------------------------------------------------------------------+ | Attribute is INVC in choice BUS | | Branch=PRIVATE | | Choice=AIR .000 .000 .547 .000 .547 .871 | | Choice=CAR .000 .000 .547 .000 .547 .871 | | Branch=PUBLIC | | Choice=TRAIN .000 .000 -.841 .888 .047 .678 | | * Choice=BUS .000 .000 -.841 -1.469 -2.310 1.119 | Estimated Elasticities – Note Decomposition
View full slide show




Discrete Choice Modeling [Part Heterogeneity 9] 53/79 Modeling HEV Model - Elasticities +---------------------------------------------------+ | Elasticity averaged over observations.| | Attribute is INVC in choice AIR | | Effects on probabilities of all choices in model: | | * = Direct Elasticity effect of the attribute. | | Mean St.Dev | | * Choice=AIR -4.2604 1.6745 | | Choice=TRAIN 1.5828 1.9918 | | Choice=BUS 3.2158 4.4589 | | Choice=CAR 2.6644 4.0479 | | Attribute is INVC in choice TRAIN | | Choice=AIR .7306 .5171 | | * Choice=TRAIN -3.6725 4.2167 | | Choice=BUS 2.4322 2.9464 | | Choice=CAR 1.6659 1.3707 | | Attribute is INVC in choice BUS | | Choice=AIR .3698 .5522 | | Choice=TRAIN .5949 1.5410 | | * Choice=BUS -6.5309 5.0374 | | Choice=CAR 2.1039 8.8085 | | Attribute is INVC in choice CAR | | Choice=AIR .3401 .3078 | | Choice=TRAIN .4681 .4794 | | Choice=BUS 1.4723 1.6322 | | * Choice=CAR -3.5584 9.3057 | +---------------------------------------------------+ Multinomial Logit +---------------------------+ | INVC in AIR | | Mean St.Dev | | * -5.0216 2.3881 | | 2.2191 2.6025 | | 2.2191 2.6025 | | 2.2191 2.6025 | | INVC in TRAIN | | 1.0066 .8801 | | * -3.3536 2.4168 | | 1.0066 .8801 | | 1.0066 .8801 | | INVC in BUS | | .4057 .6339 | | .4057 .6339 | | * -2.4359 1.1237 | | .4057 .6339 | | INVC in CAR | | .3944 .3589 | | .3944 .3589 | | .3944 .3589 | | * -1.3888 1.2161 | +---------------------------+
View full slide show




It’s really not this bad! Office Officeofofthe theDirector Director National NationalInstitute Institute on onAging Aging National NationalInstitute Institute on onAlcohol AlcoholAbuse Abuse and andAlcoholism Alcoholism National NationalInstitute Institute ofofAllergy Allergyand and Infectious InfectiousDiseases Diseases National NationalInstitute Institute ofofArthritis Arthritisand and Musculoskeletal Musculoskeletal and andSkin SkinDiseases Diseases National NationalCancer Cancer Institute Institute Eunice EuniceKennedy Kennedy Shriver ShriverNational NationalInstitute Institute ofofChild ChildHealth Healthand and Human HumanDevelopment Development National NationalInstitute Instituteon on Deafness Deafnessand andOther Other Communication Communication Disorders Disorders National NationalInstitute Institute ofofDental Dentaland and Craniofacial Craniofacial Research Research National NationalInstitute Institute ofofDiabetes Diabetesand and Digestive Digestiveand and Kidney Diseases Kidney Diseases National NationalInstitute Institute on onDrug DrugAbuse Abuse National NationalInstitute Institute ofofEnvironmental Environmental Health Sciences Health Sciences National NationalEye Eye Institute Institute National NationalInstitute Institute ofofGeneral General Medical Sciences Medical Sciences National NationalHeart, Heart, Lung, Lung,and andBlood Blood Institute Institute National NationalHuman Human Genome GenomeResearch Research Institute Institute National NationalInstitute Institute ofofMental MentalHealth Health National NationalInstitute Institute ofofNeurological Neurological Disorders Disordersand and Stroke Stroke National NationalInstitute Institute ofofNursing NursingResearch Research National NationalCenter Center for forComplementary Complementary and Alternative and Alternative Medicine Medicine John JohnE. E.Fogarty Fogarty International International Center Center National NationalCenter Center for forResearch Research Resources Resources National NationalLibrary Library ofofMedicine Medicine National NationalInstitute Instituteofof Biomedical BiomedicalImaging Imaging and andBioengineering Bioengineering Clinical ClinicalCenter Center Understanding NIH Center Centerfor for Information Information Technology Technology Slide 10 National NationalInstitute Instituteon on Minority MinorityHealth Healthand and Health Disparities Health Disparities Center Centerfor for Scientific ScientificReview Review 8 November 2017
View full slide show




set 51 35 14 00010 set 49 30 14 00010 set 47 32 13 00010 set 46 31 15 00010 set 50 36 14 00010 set 54 39 17 00100 set 46 34 14 00011 set 50 34 15 00010 set 44 29 14 00010 set 49 31 15 00001 set 54 37 15 00010 set 48 34 16 00010 set 48 30 14 00001 set 43 30 11 00001 set 58 40 12 00010 set 57 44 15 00100 set 54 39 13 00100 set 51 35 14 00011 set 57 38 17 00011 set 51 38 15 00011 set 54 34 17 00010 set 51 37 15 00100 set 46 36 10 00010 set 51 33 17 00101 set 48 34 19 00010 set 50 30 16 00010 set 50 34 16 00100 set 52 35 15 00010 set 52 34 14 00010 set 47 32 16 00010 set 48 31 16 00010 set 54 34 15 00100 set 52 41 15 00001 ver 56 42 30 14 45 set 55 001 011 01 ver 58 31 27 15 41 set 49 001 0010 ver 62 32 22 12 45 set 50 001 011 01 ver 56 35 25 13 39 set 55 001 00 11 01 ver 59 31 32 15 48 set 49 01 00010 ver 61 30 28 13 40 set 44 001 0101 ver 63 34 25 15 49 set 51 001 011 01 ver 61 35 28 13 47 set 50 001 010 10 ver 64 23 29 13 43 set 45 001 010 11 ver 66 32 30 13 44 set 44 001 011 00 ver 68 35 28 16 48 set 50 00111 00 ver 67 38 30 19 50 set 51 01 00 1001 ver 60 30 29 14 45 set 48 001 0111 57 38 35 ver 58 26 16 40 set 51 00001 010 111 0000 55 32 24 14 38 ver 50 23 33 set 46 00001 010 101 0110 55 37 24 15 37 ver 56 27 42 set 53 00001 010 111 0001 58 33 27 14 39 ver 57 30 42 set 50 ID PL PW SL DPP 2 0 1 1 0 0 1 1 1 0 0 0 1 1 0 0 0 1s1 1 151 0 35 0 14 2 60 0 1 1 1 100 2 0 1 1 0 0 0 1 0 1 1 1 1 0 0 0 0 1s2 1 149 0 30 0 14 2 59 0 1 1 1 011 2 0 1 0 1 1 1 1 1 0 0 0 0 0 0 0 0 1s3 1 047 1 32 0 13 2 60 0 1 1 1 100 2 0 1 0 1 1 1 0 0 1 1 1 1 1 0 0 0 1s4 1 146 1 31 0 15 2 58 0 1 1 1 010 2 0 1 1 0 0 1 0 1 0 0 1 0 0 0 0 0 1s5 1 150 0 36 0 14 2 60 0 1 1 1 100 4 0 1 1 0 1 1 0 1 0 0 1 1 1 0 0 1 0s6 0 054 1 39 0 17 4 58 0 1 1 1 010 3 0 1 0 1 1 1 0 1 0 0 0 1 0 0 0 0 1s7 1 146 0 34 0 14 3 60 0 1 1 1 100 2 0 1 1 0 0 1 0 1 0 0 0 1 0 0 0 0 1s8 1 150 1 34 0 15 2 59 0 1 1 1 011 2 0 1 0 1 1 0 0 0 1 1 1 0 1 0 0 0 1s9 1 144 0 29 0 14 2 59 0 1 1 1 011 1 0 1 1 0 0 0 1 0 1 1 1 1 1 0 0 0 1s10 1 149 1 31 0 15 1 58 0 1 1 1 010 2 0 1 1 0 1 1 0 1 0 0 1 0 1 0 0 0 1s11 1 154 1 37 0 15 2 60 0 1 1 1 100 2 0 1 1 0 0 0 0 1 0 0 0 1 0 0 0 1 0s12 0 048 0 34 0 16 2 58 0 1 1 1 010 1 0 1 1 0 0 0 0 0 1 1 1 1 0 0 0 0 1s13 1 148 0 30 0 14 1 59 0 1 1 1 011 1 0 1 0 1 0 1 1 0 1 1 1 1 0 0 0 0 1s14 0 143 1 30 0 11 1 62 0 1 1 1 110 2 0 1 1 1 0 1 0 1 0 1 0 0 0 0 0 0 1s15 1 058 0 40 0 12 2 63 0 1 1 1 111 4 0 1 1 1 0 0 1 1 0 1 1 0 0 0 0 0 1s16 1 157 1 44 0 15 4 61 0 1 1 1 101 4 0 1 1 0 1 1 0 1 0 0 1 1 1 0 0 0 1s17 1 054 1 39 0 13 4 61 0 1 1 1 101 3 0 1 1 0 0 1 1 1 0 0 0 1 1 0 0 0 1s18 1 151 0 35 0 14 3 60 0 1 1 1 100 3 0 1 1 1 0 0 1 1 0 0 1 1 0 0 0 1 0s19 0 057 1 38 0 17 3 58 0 1 1 1 010 3 0 1 1 0 0 1 1 1 0 0 1 1 0 0 0 0 1s20 1 151 1 38 0 15 3 60 0 1 1 1 100 2 0 1 1 0 1 1 0 1 0 0 0 1 0 0 0 1 0s21 0 054 1 34 0 17 2 57 0 1 1 1 001 4 0 1 1 0 0 1 1 1 0 0 1 0 1 0 0 0 1s22 1 151 1 37 0 15 4 59 0 1 1 1 011 2 0 1 0 1 1 1 0 1 0 0 1 0 0 0 0 0 1s23 0 146 0 36 0 10 2 64 1 0 0 0 000 5 0 1 1 0 0 1 1 1 0 0 0 0 1 0 0 1 0s24 0 051 1 33 0 17 5 56 0 1 1 1 000 2 0 1 1 0 0 0 0 1 0 0 0 1 0 0 0 1 0s25 0 148 1 34 0 19 2 56 0 1 1 1 000 2 0 1 1 0 0 1 0 0 1 1 1 1 0 0 0 1 0s26 0 050 0 30 0 16 2 57 0 1 1 1 001 4 0 1 1 0 0 1 0 1 0 0 0 1 0 0 0 1 0s27 0 050 0 34 0 16 4 57 0 1 1 1 001 2 0 1 1 0 1 0 0 1 0 0 0 1 1 0 0 0 1s28 1 152 1 35 0 15 2 59 0 1 1 1 011 2 0 1 1 0 1 0 0 1 0 0 0 1 0 0 0 0 1s29 1 152 0 34 0 14 2 60 0 1 1 1 100 2 0 1 0 1 1 1 1 1 0 0 0 0 0 0 0 1 0s30 0 047 0 32 0 16 2 58 0 1 1 1 010 2 0 1 1 0 0 0 0 0 1 1 1 1 1 0 0 1 0s31 0 048 0 31 0 16 2 57 0 1 1 1 001 4 0 1 1 0 1 1 0 1 0 0 0 1 0 0 0 0 1s32 1 154 1 34 0 15 4 58 0 1 1 1 010 1 0 1 1 0 1 0 0 1 0 1 0 0 1 0 0 0 1s33 1 152 1 41 0 15 1 61 0 1 1 1 101 15 1111055 2 00111101101010 100111011100 0001001s34 01 42 0 14 2 62 0 1 1 1 110 10 1101049 1 00111101000110 001111101111 0001001s35 11 31 0 15 1 58 0 1 1 1 010 15 1110050 2 00111101011100 100100010100 0001001s36 01 32 0 12 2 61 0 1 1 1 101 11 0110155 2 00111101101010 100101001011 0001001s37 11 35 0 13 2 61 0 1 1 1 101 18 0101049 1 00111101000111 011010101010 0001011s38 10 31 0 15 1 58 0 1 1 1 e26 66 01 0 1 30 44 14 27 0 0 1 001 13 0 0 2 00110111110001 001111111000 00010011 s39 1 44 1 30 0 2 60 e27 28 13 48 14 230010111 11 01 068 1 34 15 0 0 2 00111101011111 100101001001 00010110 s40 1 1 51 1 0 15 2 59 e28 30 50 17 210010111 0 1 167 100 1 35 12 1 1 3 00111101011001 100101011010 00010010 s41 1 50 1 0 3 61 e29 29 13 45 15 260010111 1 0 160 13 1 23 3 01100010100010 001101111011 00010011 s42 100145 10 0 13 3 57 e30 57 26 35 10 360011101 00 10 100 14 1 2 01100010100100 100101010100 00010010 s43 1 44 1 32 0 13 2 60 e31 24 38 11 320011101 1 0 055 000 0 35 14 6 01101000011000 100101011010 00011100 s44 0 50 0 0 6 57 e32 24 16 37 10 330011101 0 0 155 17 151 0 38 4 01101000001111 100101111100 00011100 s45 0010 11 0 19 4 56 e33 58 27 39 12 320011101 00 00 0 0 15 1 1 1 3 00111101010000 001111111001 00010010 s46 1 1 48 0 30 0 14 3 58 e34 27 51 16 200010111 0 1 060 1 0 0 10 010 1 100101101100 00011000 1 1 12 1 0 2 001111010011 s47 0 0 51 0 38 0 2 59 e35 30 16 45 15 270010111 0 11 154 11 11100 1 100100 101 001 001 0 00010011 11046 0 32 10 010 2 0011011010 s48 01 0 14 2 59 e36 60 34 45 16 270010111 01 11 0 1 10 010 100 110 1 1001011001 011 0 00010011 0 1 0 13 0 2 00111101 s49 1 1 53 1 37 0 15 2 60 e37 31 47 15 240010111 1 00 067 101 0 10010101 00110 1 00010011 010 11150 1 33 12 2 001111010010 s50 00 0 14 2 60 0 1 1 1 IRIS(SL,SW,PL,PW)  DPPMinVec,MaxVEC vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 00 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 00 vir 00 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 01 vir 63 33 60 1001 58 27 51 0011 71 30 59 0101 63 29 56 0010 65 30 58 0110 76 30 66 0101 49 25 45 0001 73 29 63 0010 67 25 58 0010 72 36 61 1001 65 32 51 0100 64 27 53 0011 68 30 55 0101 57 25 50 0100 58 28 51 1000 64 32 53 0111 65 30 55 0010 77 38 67 0110 77 26 69 0111 60 22 50 1111 69 32 57 0111 56 28 49 0100 77 28 67 0100 63 27 49 0010 67 33 57 0101 72 32 60 0010 62 28 48 0010 61 30 49 0010 64 28 56 0101 72 30 58 0000 74 28 61 0011 79 38 64 0100 64 28 56 0110 63 28 51 1111 61 26 56 1110 77 30 61 0111 63 34 56 1000 64 31 55 0010 60 30 18 0010 69 31 54 0101 67 31 56 1000 69 31 51 0111 58 27 51 0011 68 32 59 25 19 21 18 22 21 17 18 18 25 20 19 21 20 24 23 18 22 23 15 23 20 20 18 21 18 18 18 21 16 19 20 22 15 14 23 24 18 18 21 24 23 19 23 0 0 1 0 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 0 1 0 1 0 1 1 0 0 1 1 1 1 1 0 0 1 0 1 0 1 1 1 0 1 1 1 0 1 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 1 0 1 0 1 0 0 1 1 0 0 0 0 0 1 1 0 1 0 1 0 0 0 1 0 1 1 0 1 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 1 0 1 0 1 0 0 1 1 0 0 0 0 0 1 1 0 1 0 1 0 0 0 1 0 1 1 0 1 0 1 0 1 0 1 0 0 0 1 1 0 0 1 1 1 0 1 1 1 0 1 1 1 0 1 1 1 0 1 1 1 1 0 1 0 0 0 1 0 1 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 0 1 1 1 1 0 1 1 0 0 1 1 0 0 0 1 0 1 1 1 1 0 1 1 0 1 0 1 1 1 1 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 1 1 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 1 1 0 1 1 1 0 1 0 0 1 0 0 1 1 1 0 1 0 1 1 1 0 0 1 0 0 0 1 0 1 1 1 1 0 0 1 1 1 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 1 0 0 1 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 1 1 1 1 1 1 1 1 0 0 1 1 1 1 0 1 0 1 1 0 1 1 1 0 0 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 0 0 1 1 1 1 0 1 0 1 0 0 1 1 1 0 0 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 0 0 1 1 1 1 0 1 0 1 0 0 1 0 1 0 1 1 0 1 0 1 1 0 0 0 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 0 0 1 1 0 1 1 0 0 0 0 0 1 1 0 0 0 1 1 1 1 0 0 0 1 0 0 0 1 0 1 0 1 0 0 1 1 1 1 1 1 1 1 1 0 1 1 0 1 0 0 1 1 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 i1 1 163 00 33 60 25 10 0 0 0 1010 1 i2 0 058 11 27 51 19 19 0 0 1 0011 1 i3 1 071 11 30 59 21 11 0 0 0 1011 1 i4 1 063 00 29 56 18 15 0 0 0 1111 1 i5 1 065 10 30 58 22 12 0 0 0 1100 0 i6 0 076 10 30 66 21 5 0 0 0 0101 0 i7 1 149 01 25 45 17 24 0 0 1 1000 1 i8 1 173 11 29 63 18 8 0 0 0 1000 1 i9 1 067 10 25 58 18 12 0 0 0 1100 1 i10 1 172 0 136 61 25 10 0 0 01010 1 i11 0 065 1 132 51 20 19 0 0 10011 1 i12 0 164 0 127 53 19 16 0 0 10000 1 i13 0 168 1 130 55 21 15 0 0 01111 1 i14 0 057 1 025 50 20 19 0 0 10011 1 i15 0 058 1 128 51 24 17 0 0 10001 1 i16 0 164 0 132 53 23 17 0 0 10001 1 i17 0 165 1 130 55 18 16 0 0 10000 0 i18 0 077 1 138 67 22 6 0 0 0 0110 0 i19 0 177 0 126 69 23 0 0 0 0 0000 1 e50 001 57028 41 13 30 0 0 11110 1 i1 1 063 01 33 60 25 10 0 0 0 1010 1 i2 0 058 01 27 51 19 19 0 0 1 0011 0 i3 0 071 11 30 59 21 11 0 0 0 1011 1 i4 0 063 01 29 56 18 15 0 0 0 1111 1 i5 1 065 01 30 58 22 12 0 0 0 1100 1 i6 1 176 00 30 66 21 5 0 0 0 0101 1 i7 0 049 00 25 45 17 24 0 0 1 1000 1 i8 0 073 01 29 63 18 8 0 0 0 1000 1 i9 1 067 00 25 58 18 12 0 0 0 1100 1 i10 1 072 1 036 61 25 10 0 0 01010 1 i11 1 165 0 132 51 20 19 0 0 10011 0 i12 0 064 0 027 53 19 16 0 0 10000 1 i13 1 068 0 030 55 21 15 0 0 01111 1 i14 0 057 1 125 50 20 19 0 0 10011 1 i15 1 058 0 028 51 24 17 0 0 10001 1 i16 1 164 0 132 53 23 17 0 0 10001 1 i17 1 065 0 030 55 18 16 0 0 10000 1 i18 0 177 1 138 67 22 6 0 0 0 0110 1 i19 0 077 1 026 69 23 0 0 0 0 0000 1 i40 0 169 1 031 54 21 16 0 0 10000 1 i41 1 067 0 031 56 24 13 0 0 01101 1 i42 0 069 1 131 51 23 18 0 0 10010 1 i43 0 058 1 127 51 19 19 0 0 10011 1 i44 1 068 1 132 59 23 11 0 0
View full slide show




SIMPLE NETWORK MANAGEMENT PROTOCOL SNMP uses ASN.1 to format communications between managers and agents, as shown at right. 30 29 Type Type 48: 48: Length: Length: Sequence Sequence41 41 Bytes Bytes 04 06 01 00 Type Type 2: 2: Length: Length: Version: Version: Integer 0 Integer 1 1 Byte Byte 0 70 75 62 Type Type 4: 4: Length: Length: String String 6 6 Bytes Bytes A0 Length: Length: getreq. getreq. 28 Bytes 28 Bytes 01 Type Type 2: 2: Length: Length: Integer Integer 1 1 Byte Byte 30 02 2B 06 04 05 69 AE Type Type 2: 2: Length: Length: Integer 4 Integer 4 Bytes Bytes 00 02 Status Status 0E Type Type 48: 48: Length: Length: Sequence Sequence14 14 Bytes Bytes 6C 63 Value: Value: “public” “public” 1C 02 This particular SNMP message is a request for the sysDescr data item. 02 01 00 06 0C Error Error Index Index 08 Type Type 48: 48: Length: Length: Sequence Sequence12 12 Bytes Bytes Object Object Length: Length: ID 8 ID 8 Bytes Bytes 01 01 02 01 02 Request Request ID ID Type Type 2: 2: Length: Length: Integer Integer 1 1 Byte Byte 30 56 01 00 Data Data Item Item sysDescr sysDescr (numeric (numeric object object identifier identifier 43 43 .. 6 6 .. 1 1 .. 2 2 .. 1 1 .. 1 1 .. 1 1 .. 0 0 05 Null Null CS 00 Length: Length: 0 0 Bytes Bytes Chapter 9 Page 6
View full slide show




Elasticities for CLOGIT +---------------------------------------------------+ | Elasticity averaged over observations.| | Attribute is INVT in choice AIR | | Mean St.Dev | | * Choice=AIR -.2055 .0666 | | Choice=TRAIN .0903 .0681 | | Choice=BUS .0903 .0681 | | Choice=CAR .0903 .0681 | +---------------------------------------------------+ | Attribute is INVT in choice TRAIN | | Choice=AIR .3568 .1231 | | * Choice=TRAIN -.9892 .5217 | | Choice=BUS .3568 .1231 | | Choice=CAR .3568 .1231 | +---------------------------------------------------+ | Attribute is INVT in choice BUS | | Choice=AIR .1889 .0743 | | Choice=TRAIN .1889 .0743 | | * Choice=BUS -1.2040 .4803 | | Choice=CAR .1889 .0743 | +---------------------------------------------------+ | Attribute is INVT in choice CAR | | Choice=AIR .3174 .1195 | | Choice=TRAIN .3174 .1195 | | Choice=BUS .3174 .1195 | | * Choice=CAR -.9510 .5504 | +---------------------------------------------------+ | Effects on probabilities of all choices in model: | | * = Direct Elasticity effect of the attribute. | +---------------------------------------------------+ Note the effect of IIA on the cross effects. Own effect Cross effects Elasticities are computed for each observation; the mean and standard deviation are then computed across the sample observations.
View full slide show




Behavioral Implication of IIA +---------------------------------------------------+ | Elasticity averaged over observations.| | Attribute is INVT in choice AIR | | Mean St.Dev | | * Choice=AIR -.2055 .0666 | | Choice=TRAIN .0903 .0681 | | Choice=BUS .0903 .0681 | | Choice=CAR .0903 .0681 | +---------------------------------------------------+ | Attribute is INVT in choice TRAIN | | Choice=AIR .3568 .1231 | | * Choice=TRAIN -.9892 .5217 | | Choice=BUS .3568 .1231 | | Choice=CAR .3568 .1231 | +---------------------------------------------------+ | Attribute is INVT in choice BUS | | Choice=AIR .1889 .0743 | | Choice=TRAIN .1889 .0743 | | * Choice=BUS -1.2040 .4803 | | Choice=CAR .1889 .0743 | +---------------------------------------------------+ | Attribute is INVT in choice CAR | | Choice=AIR .3174 .1195 | | Choice=TRAIN .3174 .1195 | | Choice=BUS .3174 .1195 | | * Choice=CAR -.9510 .5504 | +---------------------------------------------------+ | Effects on probabilities of all choices in model: | | * = Direct Elasticity effect of the attribute. | +---------------------------------------------------+ Note the effect of IIA on the cross effects. Own effect Cross effects Elasticities are computed for each observation; the mean and standard deviation are then computed across the sample observations.
View full slide show




Figure 4: Logic Model for the Quality Enhancement Plan Figure 6. Logic M odel for the Q uality Enhancement Plan Ra tionale Inputs Activities Outputs Outcome Why is this important? What are we doing now? What will we do? What products, events, & services will lead to program outcomes? What learning outcomes will be achieved? • Students must be C urriculum • Global learning content in general education (core) courses • Global learning content in selected academic majors representing each academic college • Collaboration with community resources with global focus to support course assignments • Study abroad program prepared to compete in a global market • Students must understand their role within an international community • Students need to be prepared to engage in increasingly diverse communities C o-Curricular • Global learning/engagement activities sponsored by student organizations • Freshman common read program • International learning community in residence hall Budget to support QEP activities • $1,153,233 budgeted over five year implementation period C urriculum • Incorporate global learning/engagement content/activities in general education (core) discipline courses • Conduct curriculum mapping for coursework in selected majors to enhance global learning/engagement C ampus Initiatives • Increase service learning opportunities within Study Abroad program • Coordinate student recognition and curriculum development activities with the Service Learning program C o-Curricular • Expand global learning/engagement activities sponsored by Student organizations • Increase international interactions C ommunity • Increase collaborative work with community organizations to support global learning/engagement activities • Increase collaborative work with international organizations to support global learning/engagement activities Curriculum E nhance ment • Number of general education (core) courses modified to include global learning/engagement activities • Number of courses in academic majors modified to include global learning/engagement activities • Number of students by college participating in global learning/engagement courses • Number and type of faculty participating in professional development activities and learning communities Co-Curricular • Number of student organizations sponsoring global learning/engagement activities • Number and demographics of students participating in global learning/engagement activities Community • Number of community organizations supporting global learning/engagement activities • Number of international organizations supporting global learning/engagement activities Knowledge • Students identify, describe, and explain global and intercultural conditions and interdependencies. • Students make informed critical assessments of global events, processes, trends and issues and convey the interconnectedness of political, economic and environmental systems. Skills • Students analyze, interpret, and evaluate global and intercultural issues via engagement strategies including the use of information technologies. • Students demonstrate an ability to communicate and interact effectively with members of other cultures. Attitude s • Students reflect upon and integrate global learning and engagement experiences. • Students recognize and appreciate cultural diversity and multiple world views.
View full slide show


2019 slides.show. All Rights Reserved