Coursehero >>
New York >>
SUNY Albany >>
PAD 705 Course Hero has millions of student submitted documents similar to the one below including study guides, homework solutions, papers, and exam answer keys.
705 RPUB/RPAD Research Methods II Course Number: 5878 Spring 2003 Instructor: R. Karl Rethemeyer, Assistant Professor Office: Phone: Milne 312A (O) 442-5283 (H) 478-9599 E-mail: Office Hours kretheme@albany.edu 9:00 9:30 PM Monday 3:30 5:00 PM Tuesday By Appointment Class meeting time and place; exam schedule Monday, 5:45 PM to 8:50 PM in Richardson 290 to be discussed at first class meeting. Mid-term: Final: Note: March 24, 2003, to begin at 4:10 PM, in Draper 303. Ninety minutes. May 12, 2003, to begin at 5:45 PM (per University schedule). Two hours. Room: Draper 303 (tentatively). Make-up exams will only be offered in the case of medical or family emergency or when mandated by University policy. OVERVIEW: This course introduces students to the use of multiple regression analysis for analyzing data in the social sciences. The main goals of the course are for the students to be able to (a) understand the use of empirical analysis for addressing policy issues, (b) read and critique empirical analysis in academic and professional publications, and (c) perform such analysis and interpret the results themselves. The course covers the basic multiple regression framework, as well as extensions of that framework that become useful in actual applications of empirical policy analysis and research. A knowledge of statistics at the level of PAD 505 is assumed. Though calculus is not required, a conceptual understanding of calculus will make comprehension of the materials easier. For Public Administration Ph.D. students, this course is part of the Core and covers materials that will be included on the comprehensive exam. ADMISSION TO THE CLASS: All students must be enrolled in a Ph.D. program; Masters and Undergraduate students will not be admitted. Students from the Public Administration Department are given first priority for slots in the class, which is limited to 20 students. All others will be admitted on a first come, first served basis, until the class maximum is reached. READINGS: The required textbook for this course is Econometric Models and Economic Forecasts (Fourth Edition) by Pindyck and Rubinfeld, which is available at Mary Jane s and the Bookstore. (I have asked the bookstore to make copies available in the Annex in the cafeteria.) Alternative presentation of the material covered in the course is contained in Econometrics (Second Edition) by Wonnacott and Wonnacott, in Basic Econometrics (Fourth Edition) by Gujarati, and in Elements of Econometrics (Second Edition) by Kmenta. All three are supposed to be on reserve in the library (though it appears that Wonnacott and Kmenta may be lost ). The section references made in the syllabus may be out of sync with the newer version of Wonnacott & Wonnacott and Kmenta. The notation and presentation in class will follow Pindyck and Rubinfeld more closely, but most of the material is also contained in these other texts. The Wonnacott & Wonnacott and Gujarati texts are somewhat less difficult, while the Kmenta text Revised: March 25, 2003 Rockefeller College of Public Affairs & Policy Public Administration Dept. assumes a higher level of mathematical proficiency than the others. Supplementary readings will be available through ERes. The ERes system may be accessed from the library's home page or from the course web site (see below). Find the readings for R. Karl Rethemeyer, select the PAD705 Spring 2003 option, and use the class password, pad705s03. SOFTWARE: The recommended software package for this course is Stata 8.0. Stata may be purchased directly using the following URL: http://www.stata.com/info/order/new/edu/gradplans/gp3-order.html We have a so-called Grad Plan3. This means you order through the Web site but the software is distributed by Professor Scott Barclay (POS). Stata sends Prof. Barclay a fax whenever an order has been completed online, giving him permission to release the software. There are several versions of Stata. Here are my recommendations: 1) If you plan to do a lot of statistical analysis for your dissertation, bite the bullet: Buy Stata/SE and the Base Reference manuals (you ll thank me later). Cost: $279 for the software; $129 for the Base Reference Manuals. You may also wish to purchase StatTransfer, a package that helps convert SPSS and SAS datasets into Stata format. Cost: $52. 2) If you think you might do some analysis for the dissertation but nothing very sophisticated, buy Stata Intercooled; you may also wish to buy the Base Reference manuals. Cost: $129 for the software; $129 for the Base Reference Manuals. 3) If this is the only class you plan to ever take and won t do any statistical analysis for your work, buy the Stata Intercooled one year license. Cost: $89 for the software. Stata will eventually be available in the Draper 023 and 015 computer labs for use on assignments. However, the University has told us that Stata will not be available until February 17, at the earliest. ASSIGNMENTS: Homework assignments must be handed in at the beginning of class on the day they are due. Assignments must be submitted in class. Late assignments must be submitted at my office, and must be slid entirely under my door. Late assignments will not receive full credit, in part because the findings will be extensively discussed during the class in which they are due. Students are strongly encouraged to work in small groups (2 - 4 people) but each student must write up his or her answers separately. The assignments and associated data sets will be distributed through the course website: http://www.albany.edu/faculty/kretheme/PAD705/overview.html In addition to the regular assignments there will be a longer Empirical Exercise in the second half of the course. The Empirical Exercise is to be completed individually. There will be a 90 minute midterm exam and a 2 hour final exam. Both the midterm and the final will be open book / open notes. RPAD 705-S03 2 Rockefeller College of Public Affairs & Policy Public Administration Dept. GRADING: The final grade will consist of the homework assignments, the Empirical Exercise, the midterm, and the final, with the following weights: Homework Assignments: Empirical Exercise: Midterm Exam: Final Exam: 20% 20% 25% 35% I will also factor in class participation. Participation in lectures is at the student s discretion. I will record attendance each evening and use attendance and participation as a tie-breaker if the grade falls at or near a break-point between grade levels. For instance, a person who has contributed regularly to class discussions and has a B+/A- average on the graded materials is more likely to receive an A- than a person who attends less regularly. E-Mail communication To reach me, use my personal e-mail address. To subscribe to this list, send an e-mail message to LISTSERV@LISTSERV.ALBANY.EDU with the line SUBSCRIBE PAD705-S03 <FIRST NAME> <LAST NAME> in the body of the message and nothing in the subject. You will be asked to confirm your membership in the list by a return message. To send a message to EVERYONE who is subscribed, use the address PAD705-S03 Please @LISTSERV.ALBANY.EDU. register for this list as soon as possible and check your e-mail regularly for class news and information. If the class must be cancelled on short notice, the announcement will be made through the LISTSERV. Also use this LISTSERV for sharing common concerns and issues. Please do not use it for discussions or announcements that are not related to the class. Time commitment for this course This is a four-credit graduate course; it is also part of the Public Administration Ph.D. core. Hence you should plan on spending four to six hours per week in class and in the lab plus approximately six to eight hours per week doing the reading and preparing problem sets, worksheets, and cases. Students with strong prior background or experience in computing and/or statistics may spend less time than this. Students with little prior background may have to spend more time than this, especially in the first several weeks. If you discover that you are spending more time than this on the course, please let me know so that we can discuss it. Plagiarism and cheating Due to the intensive nature of this course, students are expected to form study groups and to work together on assignments. Learn by interacting with one another support and help one another. However, (a) all students must submit an individually prepared copy of their homework and (b) some work such as the Empirical Exercise must be completed by the individual without collaboration with anyone else. As a policy for this course, plagiarism or cheating will result in a failing grade for the whole course. In addition, I will pursue further disciplinary action at the University level, including suspension and/or expulsion. For the purposes of this course, the following are taken as evidence of plagiarism or cheating: Material reproduced from another source without adequate citation. Identical answers being turned in by two or more students on a mid-term, final, Empirical Exercise. A pattern of unusually similar answers being turned in by two or more students on a mid-term or final. Written answers or solutions that a student cannot logically explain verbally. RPAD 705-S03 3 Rockefeller College of Public Affairs & Policy Public Administration Dept. Other evidence of collaboration between students on an exam or the Empirical Exercise that was intended to reflect individual effort. Your work may be subject to computerized analysis to discover whether materials have been taken from on-line sources or to determine statistically whether answers are more similar than random chance would allow. Since this is such an important matter, if you have any questions about this course policy, you should ask me for any clarification that you may need. RPAD 705-S03 4 Rockefeller College of Public Affairs & Policy Public Administration Dept. Date PAD 705 Research Methods II Detailed Listing of Assignments Fall 2003 (Revised February 3, 2002) Topic Readings Due Written Work Due Review of Bivariate Regression Multivariate regression January 27 Introductions & organization 5:45 8:50 PM Comparing to experimental models Pindyck & Rubinfeld, Ch. 1, 2, 3.1-3.4 *Gujarati, p. 37-50; 119-133 February 3 Gauss Markov Conditions 4:00 7:00 PM Functional forms; Pindyck & Rubinfeld, Ch. 4.1-4.3; 4.5, 5.1- Problem Set #0 (not graded) Dummy variables Interactions Goodness of fit Elasticities February 10 Hypothesis testing on multiple 5:00 8:00 PM parameters Multicollinearity Stochastic explanatory variables, mismeasurement, and omitted variable bias (OVB) Heteroscedasticity February 17 NO CLASS PRESIDENT S DAY February 24 Problem set #1 discussion 4:00 7:00 PM Card & Krueger discussion Heteroskedasticity, continued Serial correlation 5.2, 7.3.3, Appendix 5.1 *Gujarati, p. 58-90; 107-113; 175-191; 297-323; 335-337 Pindyck & Rubinfeld, Ch. 4.4; 5.3; 5.5; 6.1; 7.1-7.4 *Gujarati, p. 257-273; 341-375; 387-504; 524-527 Pindyck & Rubinfeld, Ch. 5.5, 6.1-6.2 Problem Set #1 *Gujarati, p. 387-504; 510-513; 441-488 Card, David and Krueger, Alan. (1992). Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States. Journal of Political Economy, 100, 1, February. 1992, pp. 1-40. March 3 NO CLASS SPRING BREAK RPAD 705-S03 5 Rockefeller College of Public Affairs & Policy Public Administration Dept. March 10 4:00 7:00 PM Serial correlation, continued Panel data: Fixed effects Random effects Problem set #2 & #3 discussion Panel data, continued Instrumental variables OPTIONAL MID-TERM REVIEW * MID-TERM EXAM * Introduction, simultaneous equations regression Simultaneous equations regression, continued two stage least squares Angrist & Krueger discussion Pindyck & Rubinfeld, Ch. 6.2, 9.4 Gujarati, p 441-488; 636-652 Problem Set #2 March 17 5:00 8:00 PM Pindyck & Rubinfeld, Ch. 7.2.4; 9.4 *Gujarati, p. 636-652; 678-679 All materials through March 17 lecture Pindyck & Rubinfeld, Ch. 12.1-12.3 *Gujarati, p. 717-729 Pindyck & Rubinfeld,; Ch. 12.4-12.5 *Gujarati, p. 735-756; 770-784 Angrist, Joshua D., and Krueger, Alan B. (1991) Does Compulsory School Attendance Affect Schooling and Earnings? Quarterly Journal of Economics, 106, 979-1014. Wise & Eichner manuscript (see ERes) Wise & Rethemeyer manuscripts (see ERes) Pindyck & Rubinfeld, Appendix 2.2, Ch. 10.210.2.2, 11.1 *Gujarati, p. 114-117; 580-600; 608-609; 614615 Wise & Rethemeyer manuscripts (see ERes) Pindyck & Rubinfeld, Appendix 2.2, Ch. 10.210.2.2, 11.1 *Gujarati, p. 114-117; 580-600; 608-609; 614615 Problem Set #3 March 20 5 7 PM Draper 340 March 24 4:00 7:00 PM March 31 4:00 7:00 PM April 7 4:00 7:00 PM Problem set #4 discussion Introduction to maximum likelihood Regressions with qualitative dependent variables Regressions with qualitative dependent variables, continued Distributed lags, causality-intro Problem Set #4 April 14 4:00 7:00 PM RPAD 705-S03 6 Rockefeller College of Public Affairs & Policy Public Administration Dept. April 21 4:00 7:00 PM April 28 4:00 7:00 PM May 5 5:00 8:00 PM Problem set #5 discussion Distributed lags, causality Empirical Exercise assigned Factor analysis Empirical Exercise discussion Course wrap-up Pindyck & Rubinfeld, Ch. 9.1-9.2 *Gujarati, p. 22-23; 656-664; 696-702 Problem Set #5 May 9 4:00 5:30 PM Draper 303 May 12 Optional Course Review Discussion of Problem Set #6 Final Exam Kim, J-O and Mueller, C. W. Introduction to Factor Analysis Empirical Exercise Putnam, Robert D. (1993). Making democracy work: Civic traditions in modern Italy. Princeton, NJ: Princeton University Press. Skim chapters 1 & 2 for background; read chapters 3 & 4 for detail and use of factor analysis. Problem Set #6 (may be submitted by Everything but mostly since the mid-term Everything but mostly since the mid-term e-mail or fax if you are unable to attend review) RPAD 705-S03 7
Find millions of documents here - Study Guides, Homework Solutions, Papers, Exam Answer Keys and more.
Course Hero has millions of course related materials that will enable you to learn better, faster and get an A in all your courses.
Below is a small sample set of documents:
PS0.pdf
Path: SUNY Albany >> PAD >> 705 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #0: Learning to Work with Stata The purpose of this exercise is to help you become familiar with Stata. It is optional, but strongly encouraged. There is nothing to hand in. To help you make the t...
PS1.pdf
Path: SUNY Albany >> PAD >> 705 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #1: Womens Earnings In this assignment you will investigate the observation that on average women earn less than men. It is often noted that women\'s hourly earnings are about 59% of men\'s hourly e...
PS2.pdf
Path: SUNY Albany >> PAD >> 705 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #2: Rent Subsidies Many forms of housing subsidies for low-income families have been proposed. In particular, such proposals include price subsidies (a percentage of housing cost), housing grants ...
PS3.pdf
Path: SUNY Albany >> PAD >> 705 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #3: Private vs. Public Infrastructure Note: This assignment is longer than the previous ones; please budget your time accordingly. In this assignment you will examine the proposition that public c...
PS4.pdf
Path: SUNY Albany >> PAD >> 705 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #4: Returns to Higher Education A policy of funding higher education (for example through loan programs) is based on the principle that more education will increase peoples productivity and thereb...
PS5.pdf
Path: SUNY Albany >> PAD >> 705 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #5: Assessing Job Lock A key component in recent debates over health care reform is how best to provide universal health insurance. This question has become more urgent as the employer-provided he...
PS6.pdf
Path: SUNY Albany >> PAD >> 705 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #6: Social Capital and Good Government in Italy Probably one of the most influential ideas in political science in the last decade has been the concept of social capital. Social capital refers to ...
RKR_CV07-8.pdf
Path: SUNY Albany >> PAD >> 1 Fall, 2008
Description: R. KARL RETHEMEYER Department of Public Administration Policy University at Albany State University of New York 312A Milne Hall 1400 Washington Avenue Albany, NY 12222 Phone: (518) 442-528...
GraphTheoryGloss.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: 1 Wasserman and Faust, Chapter 3: Notation for Social Network Data Original by Catherine Bailey Specific notation allows network concepts (actors, relations between actors, attributes of actors) to be referred to in a unified manner. Graph Theoretic...
RS04_01.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: Jody Schmid PAD 637 Week 4 Recent Developments in Network Measurement Marsden (2005) Network Study Designs Most social network studies use either whole-network or egocentric designs. Whole network studies focus on sets of interrelated objects or acto...
PS0.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #0: Getting to Know UCINET 6 Adapted from original by Peter V. Marsden, Harvard University This problem set is designed to familiarize you with basic functions for managing network data within th...
PS1.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #1: Connectedness, Centrality, and Centralization Adapted from original by Peter V. Marsden, Harvard University This problem set is designed to familiarize you with analysis of connectedness, rea...
PS2.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #2: Cohesive Subgroups & Core/Periphery Structures Adapted from original by Peter V. Marsden, Harvard University This problem set provides an overview of UCINET routines that are useful for ident...
PS3.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #3: Visualizing Networks This problem set covers portions of the UCINET and related packages that are used to visualize network data. The following work focuses to some extent on multidimensional ...
PS4.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #4: Working With Two-Mode Data Adapted from original by Peter V. Marsden, Harvard University This problem set is designed to give you an overview of the portions of the UCINET software that are p...
PS5.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #5: Positional/Blockmodel Analysis Adapted from original by Peter V. Marsden, Harvard University This problem set provides an overview of the routines in UCINET that are particularly useful for u...
PS6.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #6: Abstract Equivalence Adapted from original by Peter V. Marsden, Harvard University This problem set gives you a brief overview of the portions UCINET that are useful for undertaking analyses ...
PS7.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #7: Handling Egocentric Network Data Adapted from original by Peter V. Marsden, Harvard University Egocentric network data sometimes known as personal network data or survey network data assemb...
PS8.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: Rockefeller College University at Albany Problem Set #8: Using P* The scholars who have led the development of p* models for social networksincluding Stanley Wasserman, Philippa Pattison, Carolyn Anderson, Laura Koehly, Garry Robins, Bradley Crouch,...
PAD637Syllabus_F06_v1.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: RPAD 637 Social and Organizational Networks in Public Policy, Management, and Service Delivery: Theory, Methods, and Analysis Course Number: 15428 Fall 2006 Instructor: R. Karl Rethemeyer, Assistant Professor Office: Phone: Milne 312A (O) 518-442-528...
PAD637Syllabus_S06_v1.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: RPAD 637 Social and Organizational Networks in Public Policy, Management, and Service Delivery: Theory, Methods, and Analysis Course Number: 8029 Spring 2006 Instructor: R. Karl Rethemeyer, Assistant Professor Office: Phone: Milne 312A (O) 518-442-52...
PAD637Syllabus_F04.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: RPAD 637 Social and Organizational Networks in Public Policy, Management, and Service Delivery: Theory, Methods, and Analysis Course Number: 7017 Fall 2004 Instructor: R. Karl Rethemeyer, Assistant Professor Office: Phone: Milne 312A (O) 442-5283 (H)...
PAD637Syllabus_F03.pdf
Path: SUNY Albany >> PAD >> 637 Fall, 2008
Description: RPAD 637 Social and Organizational Networks in Public Policy, Management, and Service Delivery: Theory, Methods, and Analysis Course Number: 8129 Fall 2003 Instructor: R. Karl Rethemeyer, Assistant Professor Office: Phone: Milne 312A (O) 442-5283 (H)...
DAndersonSyllabusFall_06.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPUB/RPAD 504-Data, Models, and Decisions I Course Number: 5680 (PAD) / 5878 (PUB) First Draft: Fall 2006 Instructor: David F. Andersen Office: Milne 315 Phone: (O) (518) 442-5280 (H) (518) 439-6153 david.andersen@albany.edu E-mail: Office 9:00-9:30 ...
PAD504-F05_v2.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPUB/RPAD 504-Data, Models, and Decisions I Course Number: 6154 (PAD) / 6388 (PUB) Fall 2005 Instructor: R. Karl Rethemeyer, Asst. Professor Office: Milne 312A Phone: (O) (518) 442-5283 (H) (518) 478-9599 (C) (518) 253-5111 E-mail: kretheme@albany.ed...
PAD504-F05RG.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPUB/RPAD 504-Data, Models, and Decisions I Course Number: 6153 (PAD) / 6387 (PUB) Fall 2005 Instructor: J. Ramon Gil-Garcia, Ph.D. Office: Center for Technology in Government 187 Wolf Road, Suite 301 Phone: (O) (518) 442-4473 (H) (518) 452-4988 E-ma...
PAD504-S05_v2.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPUB/RPAD 504-Data, Models, and Decisions I Course Number: 6537 (PAD) / 5986 (PUB) Spring 2005 Instructor: R. Karl Rethemeyer, Asst. Professor Office: Milne 312A Phone: (O) (518) 442-5283 (H) (518) 478-9599 (C) (518) 253-5111 E-mail: kretheme@albany....
PAD504-S04_v1.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPUB/RPAD 504-Data, Models, and Decisions I Course Number: 7602 Spring 2004 Instructor: R. Karl Rethemeyer, Asst. Professor Office: Milne 312A Phone: (O) 442-5283 (H) 478-9599 E-mail: kretheme@albany.edu Office 9:00-9:30 PM Wednesday Hours 4 5:30 PM...
PAD504-S03_v3.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPUB/RPAD 504-Data, Models, and Decisions I Course Number: 5744 Spring 2003 Instructor: R. Karl Rethemeyer, Asst. Professor Office: Milne 312A Phone: (O) 442-5283 (H) 478-9599 E-mail: kretheme@albany.edu Office 9:00-9:30 PM Wednesday Hours 3:30 5:00...
ClassNote1.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer First Lecture January 22, 2003 Part I Introductions Fill out student data sheets Introduce the course instructor/TA Course participants introduce themselves Part II: Course Formalities Course overview: Data, Models, and Decision...
ClassNote2.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Second Lecture: Decision Analysis January 31, 2003 Announcements, questions and comments Review lab schedule for upcoming week; ERes for course password: pad504s03 Lab hours for rest of semesterConnecting with the course TA Ans...
ClassNote3.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Third Lecture: Decision Analysis February 5, 2003 Announcements, questions and comments Answer questions on telecomm, e-mail, and LISTSERV worksheets Answer questions regarding problem set on probability Extra credit opportunity...
ClassNote4.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 Rethemeyer Fourth Lecture: Difference Equations February 12, 2003 Announcements, questions and comments Adobe Acrobat issues Expectations regarding homework submissions Answer questions regarding problem set on probability Answer questions ...
ClassNote5.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Fifth Lecture: System Dynamics I February 19, 2003 Announcements, questions and comments Small group discussion of problem sets Administrative Models and Difference Equations Discussion of any difficulties in creating the Vensi...
ClassNote6.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Sixth Lecture: System Dynamics II February 26, 2003 Announcements, questions and comments Small group discussion of problem sets Review revised syllabus No class next week Spring Break. Midterm review session Scheduled for Mar...
ClassNote7.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Seventh Lecture: Mid-term and Intro to Databases March 12, 2003 Logistics Mid-term: March 19 - 5:50 7:20 PM. Bring a calculator and an ID Mid-term review: March 17, 8:00 9:30 PM; Draper 146. Bring questions and proposed answer...
ClassNote8.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Eighth Lecture: Mid-term and Database Modeling March 19, 2003 Mid-term exam From 5:50 PM until 7:25 PM Tear-off extra-credit option. Grades available by 10:00 AM Friday, March 21, 2003 Break Announcements, questions and comments...
ClassNote9.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Ninth Lecture: Guest Lecture, Database Modeling, & Normalization March 26, 2003 Guest lecture Theresa Pardo, Project Director at the Center for Technology in Government, Univ. at Albany Break Discussion of mid-term results and s...
ClassNote10.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Tenth Lecture: Database Normalization and the VOODS Case April 2, 2003 Logistics and case memo results All database problem sets due next week; will discuss in class Will discuss problem sets, Forensic Mental Health case, next w...
ClassNote11.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Eleventh Lecture: Database Wrap-up, Intro to Multi-Attribute Utility Models April 9, 2003 Announcements, questions and comments No class next week Holiday break Database problem set discussion Forensic Mental Health Case Wrappi...
ClassNote12.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Twelfth Lecture: Multi-attribute Utility Models and Intro to Exploratory Optimization April 23, 2003 Announcements, questions and comments End of term party May 2, 6:00 PM @ 69 Huntersfield Road, Delmar Course logistics: April ...
ClassNote13.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Thirteenth Lecture: Exploratory Optimization and Course Wrap-up April 30, 2003 Announcements, questions and comments Class evaluation End of term party December 6, 6:00 PM @ 69 Huntersfield Road, Delmar see directions. Small g...
ClassNote2.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Second Lecture: Decision Analysis January 26, 2005 Part I: Introductions Fill out student data sheets Introduce the course instructor Course participants introduce themselves Part II: Announcements, questions and comments Revise...
ClassNote3.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Third Lecture: Decision Analysis II February 2, 2005 Announcements, questions and comments Updated syllabus grid Time for optional labs Extra credit opportunity #1 Answer questions on telecomm, e-mail, and LISTSERV worksheets An...
ClassNote4.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 Rethemeyer Fourth Lecture: Difference Equations February 9, 2005 Announcements, questions and comments Answer questions regarding problem set on probability Answer questions regarding problem set Basic Spreadsheet Models Calculating the tax...
ClassNote5.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Fifth Lecture (Again) : System Dynamics I February 23, 2005 Announcements, questions and comments Re-grouping Conceptual map for systems dynamics and systems thinking Dynamics Stock and flow diagrams Word and arrow diagrams Fee...
ClassNote7.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Seventh Lecture: E-Government, Internet, and Intro to Databases March 2, 2005 Announcements, questions and comments Small group discussion of problem sets Memo returned Midterm review session Scheduled for March 4, 4-6:00 PM, R...
ClassNote8.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Eighth Lecture: Mid-term and Database Modeling March 9, 2005 Mid-term exam From 5:50 PM until 7:25 PM Tear-off extra-credit option. Break Announcements, questions and comments If you are concerned about your grade and wish to di...
ClassNote9.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Ninth Lecture: Guest Lecture, Database Modeling, & Normalization March 16, 2005 Guest lecture Theresa Pardo, Deputy Director of the Center for Technology in Government, Univ. at Albany Break Discussion of mid-term results and s...
ClassNote10.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Tenth Lecture: Database Normalization March 30,2005 Logistics Problem set review Will discuss problem sets, VOODS case next week Advanced Access workshop April 1, 5 - 7 PM in Draper 023 must sign up Case memo review Generally,...
ClassNote11.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Eleventh Lecture: VOODS Case Database Wrap-up April 6, 2005 Announcements, questions and comments Due to problems with sample1.mdb Question #1 of the problem set is not due until next week. Database problem set discussion VOODS ...
ClassNote12.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Twelfth Lecture: Database Problem Set Review, Multi-attribute Utility Models April 13, 2005 Announcements, questions and comments Review remaining problems from Databases, Data Models, and Normalization problem set. Forensic Men...
ClassNote13.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Thirteenth Lecture: MAU Models, Linear Programming and Exploratory Optimization April 20, 2005 Announcements, questions and comments Guest lecturer: Ignacio Martinez Due tonight: Forensic Mental Health Case Memo Due next week: D...
ClassNote14.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 - Rethemeyer Fourteenth (and Final) Lecture: Case Memo, Database Redux, Linear Programming Models April 27, 2005 Course review forms Announcements, questions and comments Course logistics: Today: Take-home portion of final distributed be su...
Pad504_ClassNotes1.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 Gil-Garcia First Lecture: Introductions & Preliminaries August 29, 2005 Part I Introductions Fill out student data sheets Introduce the course instructor/TA Course participants introduce themselves Part II: Course Formalities Course overvi...
Pad504_ClassNotes2.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 Gil-Garcia Second Lecture: Decision Analysis September 12, 2005 Announcements, questions and comments Lab hours for rest of semester Monday 4-5:30 PM; Wednesday 6:00 7:30 PM; Friday 5:30 7:00 PM Answer questions on Problem Set #1 A momen...
Pad504_ClassNotes3.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 Gil-Garcia Third Lecture: Decision Analysis II September 19, 2005 Announcements, questions and comments Extra credit opportunity #1 Answer questions regarding problem set on probability Uncle George and the Wildcat Oil Example Continued Th...
Pad504_ClassNotes4.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 Gil-Garcia Fourth Lecture: Black River Case and Difference Equations September 26, 2005 Announcements, questions and comments Answer questions regarding problem set on probability Answer questions regarding problem set Basic Spreadsheet Mo...
Pad504_ClassNotes5.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 Gil-Garcia Fifth Lecture: Difference Equations and System Dynamics October 10, 2005 Announcements, questions and comments Small group discussion of problem sets Administrative Models Optional Vensim lab: Friday, October 14, 5 6:30 PM in Dr...
Pad504_ClassNotes6.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 Gil-Garcia Sixth Lecture: System Dynamics II October 17, 2005 Announcements, questions and comments Midterm review session October 28 5:00 7:00 PM in Draper 313B MID-TERM: October 31 - 5:50 PM 7:20 PM in Draper 313B. Exam to start prompt...
Pad504_ClassNotes7.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 Gil-Garcia Seventh Lecture: Markov Chains, E-Government & Databases October 24, 2005 Announcements, questions and comments Memo discussion Midterm review session Scheduled for October 28, 5-7:00 PM, Draper 313B MID-TERM: October 31 - 5:50 ...
Pad504_ClassNotes8.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 Gil-Garcia Eighth Lecture: Mid-term and Database Modeling October 31, 2005 Mid-term exam Start at 5:50 PM; 5 minutes to read. Finish at 7:25 PM. Tear-off extra-credit option. Break (Return at 7:55 PM) Announcements, questions and comments ...
Pad504_ClassNotes9.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 Gil-Garcia Ninth Lecture: Guest Lecture and Database Modeling November 7, 2005 Guest lecture Sharon S. Dawes, Director of the Center for Technology in Government, University at Albany, SUNY Break Reviewing problem sets and Midterm Exam L...
notes_1.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 First Lecture: Course Overview and Introduction January 25, 2006 Part I Introductions Fill out student data sheets Introduce the Course Instructors Course Participants Introduce Selves Part II: Course Formalities.0 Course Overview: Data, Mod...
notes_2.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD/pub 504 Second Lecture: Decision Analysis February 1, 2006 Questions and comments Lab Hours for Rest of SemesterConnecting with the Course TA Answer Questions on Telecomm, E-Mail, listserv , and first problem set Questions on Basic Probability (...
notes_3.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD/RPUB 504: Data Models, and Decisions I-Third Class Wrap Up Decision AnalysisAdministrative Models in Spreadsheets February 8, 2006 Questions and Comments Small Group Q Articulate Spre...
notes_4.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 Fourth Class February 15, 2006 Introduction to Difference Equations Questions and comments Small Group Q & A A Group-Derived Systems Map for This Morning\'s TU Lead Article Radical Islam Supporters, Jihadhi fighters, and suicide bombers St...
notes_5.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504-Fifth Class Introduction to System Dynamics A on the homework Emergency Fuel Supply for Wednesday Nights :-) David Andersen Will be in Los Angeles March 4...
notes_6.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504-Sixth Class Linear Systems, Matrix Notation, and Markov Chairs March 8, 2006 Questions and comments Small Group Q & A on Difference Equations Problem Set OPTIONAL REVIEW FOR MIDTERM 4-5:30 ON MONDAY, March 20 MID TERM WEDNESDAY, March 22 ...
notes_7.pdf
Path: SUNY Albany >> PAD >> 504 Fall, 2008
Description: RPAD 504 Eighth Class Midterm Quiz plus Introduction to DataBases March 22, 2006 Midterm Quiz (until around 7:15 PM) Introduction to Databases Setting up a Personal Rolodex One Table Databases Entities vs. Attributes Records vs. Fields Computer Impl...