NORTHWESTERN UNIVERSITY Department of Statistics. Fall 2012 Statistics 210 Professor Savage INTRODUCTORY STATISTICS FOR THE SOCIAL SCIENCES

Save this PDF as:

Size: px
Start display at page:

Download "NORTHWESTERN UNIVERSITY Department of Statistics. Fall 2012 Statistics 210 Professor Savage INTRODUCTORY STATISTICS FOR THE SOCIAL SCIENCES"

Transcription

1 NORTHWESTERN UNIVERSITY Department of Statistics Fall 2012 Statistics 210 Professor Savage INTRODUCTORY STATISTICS FOR THE SOCIAL SCIENCES Instructor: Professor Ian Savage 330 Andersen Hall, , Teaching Assistants: Wendy Chang, Dong Xi, Patrick Zhao, Course Description: The objective of this course is to equip students with the probabilistic and statistical techniques needed to support empirical analysis of data in economics and other social sciences. These analytical techniques are available in commonly used and user-friendly computer programs such as Microsoft Excel and Stata. This course will NOT make extensive use of computer software as the intention is to ensure that the student is familiar with the underlying theory, illustrated by (computationally straightforward) numerical examples. This will ensure that the student will ultimately be an informed user of these programs, and has an understanding of the assumptions and the limitations of various analytical tools. Prerequisites: No formal prerequisites. However, an understanding of basic math concepts at the calculus level is helpful. Course Content: A syllabus of topics to be covered and a class schedule are attached. Course Website: Blackboard will be available for this course. Problem sets and practice examinations will be posted on Blackboard, as will any handouts that are originally distributed in hard copy in class. Scores will also be available through the grade book feature. However, lecture notes and slides will not be posted, and model solutions to the problem sets and examinations will only be available in hard copy at the discussion sections. Lectures: There are three lectures a week on Monday, Wednesday and Friday from 11:00AM to 11:50AM in Harris Hall room 107. There is no class on Friday November 23. Discussion Sections: Students are also required to attend weekly discussion sections held on Tuesday or Thursdays. The same material is presented on both days. Discussion sections will start in the second week of class (October 2 and 4). The discussion section is an integral part of the course, and attendance is expected. It will be used to expand on ideas presented in the readings and in lectures, and to discuss assigned and graded homework problems and examinations. There are no sections on Thursday November 22. Students registered for a specific discussion section in CAESAR. Knowing which students are in which section will make the logistics of returning examinations and problem sets easier. You can swap section using the edit function within CAESAR during the add period

2 Professor Savage 2 Statistics 210 (until Wednesday October 3), provided there is space in the section you wish to move into. Details on each section are: Section # Day Time Location Teaching Assistant 21 Tuesday 4:00-4:50 Swift 107 Patrick Zhao 22 Thursday 4:00-4:50 Tech L150 Patrick Zhao 23/25 Tuesday 4:00-4:50 Francis Searle 2107 Dong Xi 24/26 Thursday 4:00-4:50 Tech L251 Dong Xi Office Hours: Start in week of October 1. Feel free to attend whichever office hours are most convenient to you. TA office hours are held in the lobby of the Statistics Department, 2006 Sheridan Road. Mondays 1:00-2:30 Andersen 330 Professor Savage Tuesdays 10:00-noon 2006 Sheridan Wendy Chan Wednesdays 9:00-10: Sheridan Patrick Zhao 2:30-4:30 Andersen 330 Professor Savage Thursdays 10:00-noon 2006 Sheridan Wendy Chan (11:30-1:30 Andersen 330 Professor Savage on Oct 18 & Nov 15 only) 1:00-3: Sheridan Dong Xi Fridays 9:00-10: Sheridan Dong Xi 1:00-3: Sheridan Patrick Zhao (not Oct 19 or Nov 16) You can arrange for an appointment at other times by ing, telephoning or seeing me or my teaching assistants before or after the lectures and discussion sections. Evaluation: Evaluation will be made on a final examination (40% of the total points), two midterm examinations (25% each), and seven problem sets (10%). P/N is allowed. The midterm examinations will be held during class time on Friday October 19 and Friday November 16, and the final examination from 9AM to 11AM on Friday December 14. No make-ups will be given for either midterm examination. In the event of a genuine, and verified, illness or emergency I will give the other midterm and final examination extra weight in determining the final grade. Permission to take a make-up final examination or to receive an incomplete in the course can only be obtained from the WCAS Office of Studies and not from the instructor. Any student with a documented disability needing accommodations is requested to speak directly to the Office of Services for Students with Disabilities ( ) and the instructor, as early as possible in the quarter (preferably within the first two weeks of class). All discussions will remain confidential. The final exam for the course is scheduled for 9am on the Friday of exam week. This is not great. However, my experience is that changing the time for such a large class is next to impossible to achieve. Also, I strongly believe that all students should be evaluated in a fair and

3 Professor Savage 3 Statistics 210 equal manner. Therefore, I will not agree to an early examination date for any individual student. To do so would require setting a different exam to that for the other students, and I feel that this would not allow fair and equal evaluation. The first midterm examination will cover the material in chapters 1, 2 and of the textbook. The second midterm examination will cover material in chapters , 4, 5 and The final examination is a comprehensive examination covering all material in the course (chapters 1-11 in the textbook). Copies of past examinations (and their solutions) will be posted in the Documents section of Blackboard, and can be used for practice. Text Book: The text for this course is Paul Newbold, William L. Carlson and Betty Thorne, Statistics for Business and Economics (Eighth edition, Prentice Hall, 2013, ISBN ). We will be covering the first 11 chapters. The textbook is available in a number of formats: Full book A cheaper custom edition especially for NU covering just the first 11 chapters which will be available from the Norris bookstore and at Becks An e-book You may find that the book is packaged with access to MyStatLab, an on-line resource of tutorials and practice problems. Students may find this useful, but it is an optional extra (at relatively modest cost) and not required as part of the course. The eighth edition has just been published. Students are welcome to use a used version of an earlier edition, or the custom NU edition covering chapters 1-11 in the Seventh Edition. Problem Sets: There are seven problem sets, which will be graded, and then discussed at the Tuesday and Thursday sessions. Problem Set 1 is attached to this syllabus. Problem Sets 2 through 7 will be posted to the Assignments section of Blackboard. The completed problem sets should be returned to a box marked "ST 210" which will be on your right-hand side in the Economics Department Office (Andersen 302) by 3PM on the Friday prior to the relevance discussion sections (except for problem set 6). Problem sets received late receive zero credit. The schedule for the problem sets is: Set # Hand in by 3 pm on Returned and Discussed 1 5 October 9/11 October 2 12 October 16/18 October 3 26 October 30 October / 1 November 4 2 November 6/8 November 5 9 November 13/15 February 6 Monday 26 November 27/29 November 7 30 November From your TA in Reading Week Advice on Studying: This course is not suitable for pulling all-nighters just prior to examinations. Material later in the course builds on material discussed earlier in the course. It is therefore vital that you keep up with the lectures, readings and problem sets, and ensure that you understand entirely the logic of the models and analytical techniques that are discussed. Therefore if you are confused about any material it is best that you speak to me or one of my

4 Professor Savage 4 Statistics 210 teaching assistants immediately so that we can help you. As this course is quantitative the best studying advice is practice at solving problems. There are problems at the end of each section in the textbook, and with the on-line application sold with the textbook. Rival textbooks, that can be found in the library, also contain problems that you can use for additional practice. Optional Mentoring: The Searle Center for Teaching Excellent offers the Academic Mentoring Program (AMP). This is a peer-led academic support in a small-group setting for students enrolled in this course. If you join the program, you will meet weekly with about 5 8 other students and a peer mentor a student who has already taken and done well in the course. During group sessions, students raise questions they have about the course content and work to develop answers together, with the guidance of the mentor. Past participants report that AMP helped them stay on track with their studying and solidify their understanding of course concepts. AMP is not a drop-in program; students register for the full quarter. Times and locations vary. You may register for AMP at: through Wednesday, October 3rd by 12:00 p.m. *Space is limited* Laptop Computer Policy: Except in the case of proven medical necessity, students may not use a laptop computer or computer tablet during the lectures. Such devices must remain in your bag, and may not be placed on your desk. Mobile Communications Policy: Mobile telephone devices should have the ringer turned off and be placed in pockets or backpacks. Students may not make or receive phone calls, surf the web, or send or receive text messages during class. SYLLABUS Listed below are the topics covered in the course. References to the relevant chapters in the most recent edition of Newbold, Carlson and Thorne are shown in parentheses. At the end is a timetable showing when each subject will be covered. Part 1 Descriptive Statistics The first part of the course equips the students with techniques to describe and illustrate bodies of data. 1.1 Data Representation and Display (Chapter 1) Large quantities of data generally need to be summarized in some way to permit easy interpretation. Tabular forms of data are discussed, and differentiation is made between different types of data: categorical versus numerical, continuous versus discrete. Finally, graphical methods of data display are discussed with an emphasis on the appropriate format to use in different circumstances.

5 Professor Savage 5 Statistics Measures of Location, Dispersion and Shape (Chapter and appendix) Meaningful summaries of large bodies of data can be made by reference to simple measures of the location ( middle ) of the data, how spread out it is, and the shape of the distribution. Various measures will be discussed and their relative merits compared. 1.3 Index Numbers A convenient way of expressing data is by use of an index relating the value of one observation against some base figure. Methods for calculating indices are described and compared. Part 2 Probability Theory Interpreting data and the investigation of hypotheses in the social sciences inherently requires knowledge of probability theory. This is because many of the distributions of data described in part 1 are derived from probabilistic events. 2.1 Introduction to Probability (Chapter ) We formally define what we mean by the probability of an event happening, and describe some typical pitfalls involved in making calculations of probability. 2.2 Marginal, Joint and Conditional Probability (Chapter ) We now considering what happens when two probabilistic events occur at the same time, and discuss how we can tell whether the two events are related to each other. Part 3 Probability Distributions We are now in a position to draw up the distribution of the occurrence of a probabilistic event based on probability theory. The link will be drawn concerning the similarities of the resulting distributions and the kinds of data distributions discussed in part 1 of the course. The great benefit of being able to approximate actual observed data distributions and associated probability-based distributions is that the latter have known properties that can be used for prediction and analysis. 3.1 Random Variables and Discrete Probability Distributions (Chapter ) 3.2 The Binomial Distribution (Chapter 4.4) 3.3 The Poisson Distribution (Chapter 4.5) 3.4 Combinations of Discrete Random Variables (Chapter 4.7)

6 Professor Savage 6 Statistics Continuous Probability Distributions (Chapter ) 3.6 The Normal Distribution (Chapter ) Part 4 Sampling Frequently it is not possible, or even desirable, to collect full sets of data. Therefore, some selectivity, or sampling, procedures are required. This part of the course describes methods of sampling, how to interpret results of samples; and how to use them to test hypotheses from the social sciences. 4.1 Introduction to Sampling (Chapter 6.1) A brief description of why sampling is often necessary, methods of sampling, and the potential pitfalls in selecting a sample. 4.2 Sample Statistics (Chapter ) Summary statistics of the type described in part 1 of the course can be calculated from samples (albeit, that there are subtle differences in formula for some of the measures). Due to the inherent variability in the sampling process, we would not expect to obtain exactly the same sample statistics from each sample. However, statistical theory describes how the calculated sample mean might vary from sample to sample. We describe the resulting sampling distributions and show how they are affected by the size of the sample. 4.3 Confidence Intervals for the Population Mean (Chapters , , 8) Because of the variability in the sampling process, we can only use the calculated sample mean to establish a confidence interval within which the mean value of the population might lie. We discuss how these confidence intervals are calculated, and how they depend on the size of the sample. This permits the discussion of the optimal sample size. 4.4 Confidence Intervals for the Population Variance (Chapters 6.4, 7.5) We will discuss the distribution of variances obtained from samples and the confidence interval for where the variance of a normal distribution might lie. 4.5 Hypothesis Tests (Chapters , , 10.5) Often the purpose of taking samples is to test some hypothesis suggested by social science theory. These tests include deciding whether a particular sample differs from preexisting theories about the mean of the distribution, and deciding whether two separate samples are significantly different. Methods for conducting these tests are

7 Professor Savage 7 Statistics 210 described in detail. We also discuss the possible errors inherent in making these tests, and how these errors can be minimized. Part 5 Correlation and Regression (Chapters 2.4, 11.7, ) We conclude the course with an introduction to methods for determining if two sets of data are related ( correlation techniques ) and how to estimate the value of the relationship ( regression techniques ). This will act as an introduction to detailed consideration of these techniques in courses on regression or econometrics (such as Economics 281 or 381-1). LECTURE SCHEDULE Week 1: Week 2: Week 3: Week 4: Week 5: Week 6: Week 7: Week 8: Week 9: Week 10: Introduction; Data representation and display Measures of location; Measures of dispersion and shape; Index numbers; Introduction to probability Probability theory Random variables and discrete probability distributions; MIDTERM EXAM I Binomial distribution; Poisson distribution; Combinations of random variables Continuous probability distributions, Normal distribution; Introduction to sampling Sample statistics; Confidence Intervals for Means Confidence Intervals for Variances; Hypothesis tests; MIDTERM EXAM II Hypothesis tests (continued) Correlation; Regression

STAT 2080/MATH 2080/ECON 2280 Statistical Methods for Data Analysis and Inference Fall 2015

STAT 2080/MATH 2080/ECON 2280 Statistical Methods for Data Analysis and Inference Fall 2015 Faculty of Science Course Syllabus Department of Mathematics & Statistics STAT 2080/MATH 2080/ECON 2280 Statistical Methods for Data Analysis and Inference Fall 2015 Instructor: Michael Dowd Email: michael.dowd@dal.ca

More information

BUAD 310 Applied Business Statistics. Syllabus Fall 2013

BUAD 310 Applied Business Statistics. Syllabus Fall 2013 ! BUAD 310 Applied Business Statistics Syllabus Fall 2013 Instructor: Gourab Mukherjee TA: Pallavi Basu Office: HOH 14 Office Hours: Tuesday and Wednesday 10AM-12 PM (location TBA) Office Hours: Tuesday

More information

Truman College-Mathematics Department Math 125-CD: Introductory Statistics Course Syllabus Fall 2012

Truman College-Mathematics Department Math 125-CD: Introductory Statistics Course Syllabus Fall 2012 Instructor: Dr. Abdallah Shuaibi Office #: 3816 Email: ashuaibi1@ccc.edu URL: http://faculty.ccc.edu/ashuaibi/ Phone #: (773)907-4085 Office Hours: Truman College-Mathematics Department Math 125-CD: Introductory

More information

STAT 1403 College Algebra Dr. Myron Rigsby Fall 2013 Section 0V2 crn 457 MWF 9:00 am

STAT 1403 College Algebra Dr. Myron Rigsby Fall 2013 Section 0V2 crn 457 MWF 9:00 am MATH 1403 College Algebra/ Rigsby/ Fall 2013 Page 1 Credit Hours: 3 Lecture Hours: 3 University of Arkansas Fort Smith 5210 GRAND AVENUE P.O. BOX 3649 FORT SMITH, AR 72913-3649 479-788-7000 Syllabus and

More information

QMB 3302 - Business Analytics CRN 80700 - Fall 2015 T & R 9.30 to 10.45 AM -- Lutgert Hall 2209

QMB 3302 - Business Analytics CRN 80700 - Fall 2015 T & R 9.30 to 10.45 AM -- Lutgert Hall 2209 QMB 3302 - Business Analytics CRN 80700 - Fall 2015 T & R 9.30 to 10.45 AM -- Lutgert Hall 2209 Elias T. Kirche, Ph.D. Associate Professor Department of Information Systems and Operations Management Lutgert

More information

Course Syllabus MATH 110 Introduction to Statistics 3 credits

Course Syllabus MATH 110 Introduction to Statistics 3 credits Course Syllabus MATH 110 Introduction to Statistics 3 credits Prerequisites: Algebra proficiency is required, as demonstrated by successful completion of high school algebra, by completion of a college

More information

QMB 3302 Business Analytics CRN 10251 Spring 2015 T R -- 11:00am - 12:15pm -- Lutgert Hall 2209

QMB 3302 Business Analytics CRN 10251 Spring 2015 T R -- 11:00am - 12:15pm -- Lutgert Hall 2209 QMB 3302 Business Analytics CRN 10251 Spring 2015 T R -- 11:00am - 12:15pm -- Lutgert Hall 2209 Elias T. Kirche, Ph.D. Associate Professor Department of Information Systems and Operations Management Lutgert

More information

Online Basic Statistics

Online Basic Statistics Online Basic Statistics Madison Area Technical College Fall 2013 Syllabus Course Information Catalog Number: 20-804-240 Class Number: 33342 Dates: 10/21/2013-12/20/2013 Credits: 4 Website: http://blackboard.madisoncollege.edu

More information

Acct 206 INTRODUCTION TO MANAGERIAL ACCOUNTING Spring 2015 Section 002 SYLLABUS

Acct 206 INTRODUCTION TO MANAGERIAL ACCOUNTING Spring 2015 Section 002 SYLLABUS Acct 206 INTRODUCTION TO MANAGERIAL ACCOUNTING Spring 2015 Section 002 SYLLABUS Instructor: Kathy Hurley Telephone: 426-121 Office: MBEB 3121 E-mail: kathyhurley@boisestate.edu Office Hours: 10:30 11:30

More information

QMB 3302 - Business Analytics CRN 82361 - Fall 2015 W 6:30-9:15 PM -- Lutgert Hall 2209

QMB 3302 - Business Analytics CRN 82361 - Fall 2015 W 6:30-9:15 PM -- Lutgert Hall 2209 QMB 3302 - Business Analytics CRN 82361 - Fall 2015 W 6:30-9:15 PM -- Lutgert Hall 2209 Rajesh Srivastava, Ph.D. Professor and Chair, Department of Information Systems and Operations Management Lutgert

More information

The University of Texas at Austin School of Social Work SOCIAL WORK STATISTICS

The University of Texas at Austin School of Social Work SOCIAL WORK STATISTICS 1 The University of Texas at Austin School of Social Work SOCIAL WORK STATISTICS Course Number: SW 318 Instructor: Michael Bergman, Ph.D. Unique Number: 65190 Office Number: SSW 1.214 (IT Classroom) Semester:

More information

Business Statistics MATH 222. Eagle Vision Home. Course Syllabus

Business Statistics MATH 222. Eagle Vision Home. Course Syllabus Business Statistics MATH 222 EagleVision Home Course Syllabus Credit Hours: 3 Credits Academic Term: March 2012 [March 19, 2012 May 20, 2012] Meetings: Location: Instructor: Office Hours: Monday/Wednesday,

More information

Statistical Methods Online Course Syllabus

Statistical Methods Online Course Syllabus VALENCIA COLLEGE EAST CAMPUS STA 2023 STATISTICAL METHODS (ONLINE COURSE) SYLLABUS Term/Year: Fall 2011 CRN: 11563/11615/13231/11839 Professor: Dr. Agatha Shaw E-mail: Blackboard Course E-Mail or ashaw17@mail.valenciaccollege.edu

More information

ECON643 Empirical Analysis I: Foundations of Empirical Research

ECON643 Empirical Analysis I: Foundations of Empirical Research University of Maryland Fall 2015 Instructor: Prof. Ephraim Leibtag E-mail: leibtag@econ.umd.edu Phone: 202-694-5349 TA: Burak Turkgulu, MastersTA@econ.umd.edu Class Location: 1400 16 th Street NW Department

More information

College Algebra Online Course Syllabus

College Algebra Online Course Syllabus VALENCIA COMMUNITY COLLEGE EAST CAMPUS MAC 1114 COLLEGE TRIGONOMETRY (ONLINE COURSE) SYLLABUS Term/Year: Spring 2009 CRN: 22607 Professor: Dr. Agatha Shaw Phone: (407) 582 2117 Office: 8-249 Student Engagement

More information

Lehigh University CHEM 112 ORGANIC CHEMISTRY II Spring 2016 Course Syllabus. Instructors:

Lehigh University CHEM 112 ORGANIC CHEMISTRY II Spring 2016 Course Syllabus. Instructors: Lehigh University CHEM 112 ORGANIC CHEMISTRY II Spring 2016 Course Syllabus Instructors: Name: Robert Flowers, Ph.D. Name: Suzanne M. Fernandez, Ph.D. Office: room 796 Mudd Office: room 692 Mudd Phone:

More information

Business Administration Certificates

Business Administration Certificates T1 Important Dates Semester 1 T9a Business Administration Certificates Faculty of Business and Information Technology Timetable 2014 Orientation: 14 February Start Date: 17 February End Date: 27 June Semester

More information

BAKERSFIELD COLLEGE. Elementary Probability and Statistics. Math B22 CRN 31535 SPRING 2016

BAKERSFIELD COLLEGE. Elementary Probability and Statistics. Math B22 CRN 31535 SPRING 2016 BAKERSFIELD COLLEGE Elementary Probability and Statistics Math B22 CRN 31535 SPRING 2016 Instructor : Ms. Sabol Class Hours : TTH 5:30 PM 7:35 PM Classroom : Delano Science and Tech Center 1105 Text :

More information

INFO 3130 Management Information Systems Spring 2016

INFO 3130 Management Information Systems Spring 2016 Instructor: Office: Dr. Reginald Silver 304A Friday Building Phone: 704-687-6181 Email: rsilver5@uncc.edu Course Website: Moodle 2 Section Information: Section Day(s) Location Time Section 004 MW 3222

More information

Course Syllabus MGT 300 Management Online Fall 2013

Course Syllabus MGT 300 Management Online Fall 2013 Course Syllabus MGT 300 Online Fall 2013 INSTRUCTOR INFORMATION: Professor: Dr. Terry Mullins Office: Bryan 347 Office Hours: By appointment for online course. E-mail: twmullin@uncg.edu Phone: Office:

More information

LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE

LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 119 STATISTICS AND ELEMENTARY ALGEBRA 5 Lecture Hours, 2 Lab Hours, 3 Credits Pre-

More information

QUANTITATIVE ANALYSIS FOR BUSINESS DECISIONS

QUANTITATIVE ANALYSIS FOR BUSINESS DECISIONS SYLLABUS For QUANTITATIVE ANALYSIS FOR BUSINESS DECISIONS BUS-305 Fall 2004 Dr. Jim Mirabella Jacksonville University GENERAL INFORMATION Instructor: Dr. Jim Mirabella Call #: 6231 Contact Information:

More information

BUSSTAT 207 Introduction to Business Statistics Fall 2015

BUSSTAT 207 Introduction to Business Statistics Fall 2015 BUSSTAT 207 Introduction to Business Statistics Fall 2015 Instructor: Brady Lawrence Office: MBEB 3209 Phone: 426-1091 Office Hours: WF 1:00-3:00PM E-mail: bradylawrence@boisestate.edu (Include 207 in

More information

Econometrics and Data Analysis I

Econometrics and Data Analysis I Econometrics and Data Analysis I Yale University ECON S131 (ONLINE) Summer Session A, 2014 June 2 July 4 Instructor: Doug McKee (douglas.mckee@yale.edu) Teaching Fellow: Yu Liu (dav.yu.liu@yale.edu) Classroom:

More information

1 Goals & Prerequisites

1 Goals & Prerequisites Fisher College of Business The Ohio State University Business Finance 4221 Investment Management Fall 2015 - Professor: Fousseni Chabi-Yo Classroom: Schoenbaum 200 Class Time: Tuesday s and Thursday s

More information

MAC2233, Business Calculus Reference # 722957, RM 2216 TR 9:50AM 11:05AM

MAC2233, Business Calculus Reference # 722957, RM 2216 TR 9:50AM 11:05AM Instructor: Jakeisha Thompson Email: jthompso@mdc.edu Phone: 305-237-3347 Office: 1543 Office Hours Monday Tuesday Wednesday Thursday Friday 7:30AM 8:15AM 12:30PM 2:00PM 7:30AM 9:30AM 7:30AM 8:15AM 12:30PM

More information

PLS 801: Quantitative Techniques in Political Science

PLS 801: Quantitative Techniques in Political Science PLS 801: Quantitative Techniques in Political Science Fall 2011 Tuesday/Thursday 12:40-2:00PM Instructor: Prof. Corwin D. Smidt Office: 320 S. Kedzie Hall Email: smidtc@msu.edu Do not expect replies to

More information

Description. Textbook. Grading. Objective

Description. Textbook. Grading. Objective EC151.02 Statistics for Business and Economics (MWF 8:00-8:50) Instructor: Chiu Yu Ko Office: 462D, 21 Campenalla Way Phone: 2-6093 Email: kocb@bc.edu Office Hours: by appointment Description This course

More information

Governors State University College of Business and Public Administration. Course: STAT 361-03 Statistics for Management I (Online Course)

Governors State University College of Business and Public Administration. Course: STAT 361-03 Statistics for Management I (Online Course) Governors State University College of Business and Public Administration Course: STAT 361-03 Statistics for Management I (Online Course) Instructor: Kevin M. Riordan, M.A. Session: Fall Semester 2011 Prerequisite:

More information

New York University Stern School of Business Undergraduate College

New York University Stern School of Business Undergraduate College New York University Stern School of Business Undergraduate College Principles of Financial Accounting (ACCT-UB.0001.03) Fall 2013 M/W, 9:30 10:45 a.m., UC25 Table of Contents Instructor information.2 Teaching

More information

Analytical Chemistry Lecture - Syllabus (CHEM 3310) The University of Toledo Fall 2012

Analytical Chemistry Lecture - Syllabus (CHEM 3310) The University of Toledo Fall 2012 Analytical Chemistry Lecture - Syllabus (CHEM 3310) The University of Toledo Fall 2012 Course Call #s 44899/44900 and 48756/47954 2.00 credits Instructor: Class Meeting Time: Office Hours: TA: Dr. Wendell

More information

Advanced Psychological Statistics I. PSYX 520 Autumn 2015

Advanced Psychological Statistics I. PSYX 520 Autumn 2015 Advanced Psychological Statistics I Course Location and Time Skaggs Building 246 Friday 12:10 3:00 PM Instructor Information Instructor: Daniel J. Denis, Ph.D. Office: Skaggs Building 369 Phone: 406-243-4539

More information

Department of Geography University of Idaho. GEOG 390: Geographic Visualization January to May 2010 COURSE OUTLINE. (subject to change)

Department of Geography University of Idaho. GEOG 390: Geographic Visualization January to May 2010 COURSE OUTLINE. (subject to change) Department of Geography University of Idaho GEOG 390: Geographic Visualization January to May 2010 COURSE OUTLINE (subject to change) Instructor Classes meet Mondays, Wednesdays 3:30 5:45 pm at MCCL 206

More information

RESEARCH METHODS IN PSYCHOLOGY PSYC 381 FALL 2013 T & TH 12:10 p.m. to 1:25 p.m. (GRPS 1) SATURDAY 9/14 & 10/19 (8:00 a.m. to 12:00 noon Tech 101)

RESEARCH METHODS IN PSYCHOLOGY PSYC 381 FALL 2013 T & TH 12:10 p.m. to 1:25 p.m. (GRPS 1) SATURDAY 9/14 & 10/19 (8:00 a.m. to 12:00 noon Tech 101) RESEARCH METHODS IN PSYCHOLOGY PSYC 381 FALL 2013 T & TH 12:10 p.m. to 1:25 p.m. (GRPS 1) SATURDAY 9/14 & 10/19 (8:00 a.m. to 12:00 noon Tech 101) E-Mail Address: crenold@vanguard.edu Phone: 714.556.3610

More information

Course Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics

Course Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics Course Text Business Statistics Lind, Douglas A., Marchal, William A. and Samuel A. Wathen. Basic Statistics for Business and Economics, 7th edition, McGraw-Hill/Irwin, 2010, ISBN: 9780077384470 [This

More information

Course Syllabus. Software Project Management

Course Syllabus. Software Project Management Course Syllabus MIS 6360 Software Project Management The Naveen Jindal School of Management The University of Texas at Dallas Course Information Course Course Number Section MIS 6360 Course Title Software

More information

Online Course Syllabus BA435/FIN435 Fundamentals of Investments. Important Notes:

Online Course Syllabus BA435/FIN435 Fundamentals of Investments. Important Notes: Online Course Syllabus BA435/FIN435 Fundamentals of Investments Important Notes: This document provides an overview of expectations for this online course and is subject to change prior to the term start.

More information

Economic Statistics (ECON2006), Statistics and Research Design in Psychology (PSYC2010), Survey Design and Analysis (SOCI2007)

Economic Statistics (ECON2006), Statistics and Research Design in Psychology (PSYC2010), Survey Design and Analysis (SOCI2007) COURSE DESCRIPTION Title Code Level Semester Credits 3 Prerequisites Post requisites Introduction to Statistics ECON1005 (EC160) I I None Economic Statistics (ECON2006), Statistics and Research Design

More information

Chemistry 511 Inorganic Chemistry Fall 2004 KEEP THIS SYLLABUS FOR FUTURE REFERENCE

Chemistry 511 Inorganic Chemistry Fall 2004 KEEP THIS SYLLABUS FOR FUTURE REFERENCE Chemistry 511 Inorganic Chemistry Fall 2004 KEEP THIS SYLLABUS FOR FUTURE REFERENCE Inorganic Chemistry: Lecture: 3 credit hours 11:00 11:50 am M,W,F, 2373 Chemistry * Lecturer: Nguyet T. Tran Phone Number:

More information

Northwestern University BUS_INST 239 Marketing Management Fall 2013. Department of Psychology University Hall, Room 102 Swift Hall (2029 Sheridan Rd.

Northwestern University BUS_INST 239 Marketing Management Fall 2013. Department of Psychology University Hall, Room 102 Swift Hall (2029 Sheridan Rd. BIP 239 Syllabus, pg.1 Northwestern University BUS_INST 239 Marketing Management Fall 2013 Professor Ginger Pennington Class meets: Tues/Th 11am-12:20pm Department of Psychology University Hall, Room 102

More information

Introduction to Information Technology ITP 101x (4 Units)

Introduction to Information Technology ITP 101x (4 Units) Objective Concepts Introduction to Information Technology ITP 101x (4 Units) Upon completing this course, students will: - Understand the fundamentals of information technology - Learn core concepts of

More information

Course Information for Math 104: Basic Probability and Statistics

Course Information for Math 104: Basic Probability and Statistics Course Information for Math 104: Basic Probability and Statistics Professor: Amy N. Myers Email: anmyers@brynmawr.edu Office: Park 356 Office Hours: Mon: 10 11am; Wed: 10 11am; Fri: 10 11am & 2 4pm Appointments:

More information

MATHEMATICS PLACEMENT

MATHEMATICS PLACEMENT MATHEMATICS PLACEMENT Am I required to take the Math Placement Exam? Students are not required to take the placement exam. Your mathematics placement is determined by your Math subscore on the ACT or SAT

More information

3818 - Introduction to Statistics (Online) Syllabus/Course Information

3818 - Introduction to Statistics (Online) Syllabus/Course Information 3818 - Introduction to Statistics (Online) Syllabus/Course Information Course Description Econ 3818 is a first course in probability and statistical methods, with an introduction to econometrics. This

More information

Transfer Credit: 3 semester units, meet GE requirements for Associates Degrees, and transfers to UC, CSU. Prerequisite Math-153

Transfer Credit: 3 semester units, meet GE requirements for Associates Degrees, and transfers to UC, CSU. Prerequisite Math-153 OHLONE College Fall 2014 Professor Mosleh tmosleh@ohlone.edu BA102A-04, 05 on line sections COURSE DESCRIPTION: Introduction to macroeconomics is the economic behavior at the aggregate level. This course

More information

Introduction to Psychology Psych 100 Online Syllabus Fall 2014

Introduction to Psychology Psych 100 Online Syllabus Fall 2014 Introduction to Psychology Psych 100 Online Syllabus Fall 2014 Contact Information Professor: Dr. Deborah Maher Office: C&L (Classrooms and Labs) 119 Office phone #: (714) 432-0202, x21190 (best to email

More information

Syllabus. Finance 367: Investment Management

Syllabus. Finance 367: Investment Management Syllabus Finance 367: Investment Management Summer II 2012 Course Unique Number 71710 Instructor: Sergey Maslennikov Instructor s Office: CBA 3.332E E-mail: sergey.maslennikov@phd.mccombs.utexas.edu Phone:

More information

The University of Akron Department of Mathematics. 3450:145-803 COLLEGE ALGEBRA 4 credits Spring 2015

The University of Akron Department of Mathematics. 3450:145-803 COLLEGE ALGEBRA 4 credits Spring 2015 The University of Akron Department of Mathematics 3450:145-803 COLLEGE ALGEBRA 4 credits Spring 2015 Instructor: Jonathan Hafner Email: jhafner@zips.uakron.edu Office: CAS 249 Phone: (330) 972 6158 Office

More information

Register for CONNECT using the code with your book and this course access information:

Register for CONNECT using the code with your book and this course access information: Business Statistics Fall 2014 Dr. Osyk 6500:304-004 T TH 3:15 4:30 pm CBA 144 Instructor: Dr. Barbara A. Osyk bao@uakron.edu OFFICE: CBA 368 330-972-5439 OFFICE HOURS: T TH 8:30 9:00 am, 1:30 3 pm (And

More information

NEUROSCI 373/ PSY 279 Behavioral Neuroimmunology: Brain and Behavior in Health and Disease Fall 2012

NEUROSCI 373/ PSY 279 Behavioral Neuroimmunology: Brain and Behavior in Health and Disease Fall 2012 NEUROSCI 373/ PSY 279 Behavioral Neuroimmunology: Brain and Behavior in Health and Disease Fall 12 PROFESSOR: Dr. Staci D. Bilbo, PhD, Assistant Professor of Psychology & Neuroscience Office Hours: By

More information

Sodaro, Michael J. Comparative Politics: A Global Introduction, THIRD EDITION. New York: McGraw-Hill Higher Education, 2008.

Sodaro, Michael J. Comparative Politics: A Global Introduction, THIRD EDITION. New York: McGraw-Hill Higher Education, 2008. INTL 3300: Introduction to Comparative Politics Maymester 2013 Instructor: Megan Lounsbury Miller Learning Center: Room 245 Monday - Friday: 11:00 a.m. 1:45 p.m. Office Hours: Wednesdays, 1:45 2:45 p.m.

More information

Business Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.

Business Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics. Business Course Text Bowerman, Bruce L., Richard T. O'Connell, J. B. Orris, and Dawn C. Porter. Essentials of Business, 2nd edition, McGraw-Hill/Irwin, 2008, ISBN: 978-0-07-331988-9. Required Computing

More information

Anglo americká vysoká škola, o.p.s.

Anglo americká vysoká škola, o.p.s. THE COURSE OUTLINE (SYLLABUS) COURSE NAME: Quantitative Research Methods COURSE CODE: MTH 315 INSTRUCTOR: RNDr. Václav Novák 1. Course Name and Code: MTH 315, Quantitative Research Methods 2. Day, Time,

More information

The University of North Carolina at Greensboro CRS 605: Research Methodology in Consumer, Apparel, and Retail Studies (3 Credits) Spring 2014

The University of North Carolina at Greensboro CRS 605: Research Methodology in Consumer, Apparel, and Retail Studies (3 Credits) Spring 2014 The University of North Carolina at Greensboro CRS 605: Research Methodology in Consumer, Apparel, and Retail Studies (3 Credits) Spring 2014 Instructor: Dr. Kittichai (Tu) Watchravesringkan (I go by Dr.

More information

STAT 2300: BUSINESS STATISTICS Section 002, Summer Semester 2009

STAT 2300: BUSINESS STATISTICS Section 002, Summer Semester 2009 STAT 2300: BUSINESS STATISTICS Section 002, Summer Semester 2009 Instructor: Bill Welbourn Office: Lund 117 Email: bill.welbourn@aggiemail.usu.edu Lectures: MWF 7:30AM 9:40AM in ENGR 104 Office Hours:

More information

UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010

UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010 UNIVERSITY of MASSACHUSETTS DARTMOUTH Charlton College of Business Decision and Information Sciences Fall 2010 COURSE: POM 500 Statistical Analysis, ONLINE EDITION, Fall 2010 Prerequisite: Finite Math

More information

MARSHALL SCHOOL OF BUSINESS University of Southern California. FBE 555: Investment Analysis and Portfolio Management

MARSHALL SCHOOL OF BUSINESS University of Southern California. FBE 555: Investment Analysis and Portfolio Management MARSHALL SCHOOL OF BUSINESS University of Southern California FBE 555: Investment Analysis and Portfolio Management Prof. Christopher S. Jones Fall 2013 Course Syllabus This syllabus describes the policies,

More information

STAT 360 Probability and Statistics. Fall 2012

STAT 360 Probability and Statistics. Fall 2012 STAT 360 Probability and Statistics Fall 2012 1) General information: Crosslisted course offered as STAT 360, MATH 360 Semester: Fall 2012, Aug 20--Dec 07 Course name: Probability and Statistics Number

More information

Course Syllabus OPRE/MIS 6369-501 Supply Chain Software The University of Texas at Dallas

Course Syllabus OPRE/MIS 6369-501 Supply Chain Software The University of Texas at Dallas Course Syllabus OPRE/MIS 6369-501 Supply Chain Software The University of Texas at Dallas Course Info Tech Requirements Access & Navigation Communications Resources Assessments Academic Calendar Scholastic

More information

ECON 523 Applied Econometrics I /Masters Level American University, Spring 2008. Description of the course

ECON 523 Applied Econometrics I /Masters Level American University, Spring 2008. Description of the course ECON 523 Applied Econometrics I /Masters Level American University, Spring 2008 Instructor: Maria Heracleous Lectures: M 8:10-10:40 p.m. WARD 202 Office: 221 Roper Phone: 202-885-3758 Office Hours: M W

More information

BA530 Financial Management Spring 2015

BA530 Financial Management Spring 2015 BA530 Financial Management Spring 2015 Professor: Wanli Zhao, Ph.D. Class Time: 4:00 ~ 6:45 PM on Wednesday in Lawson 101 Office: Rehn 124, College of Business Phone: (618) 453-7109 Email: zhaowl@business.siu.edu

More information

Syllabus. Methods of Social Research, SYA 4300-8, Spring 2009

Syllabus. Methods of Social Research, SYA 4300-8, Spring 2009 Syllabus Methods of Social Research, SYA 4300-8, Spring 2009 M & W, 9:30-10:45 a.m. HCB, Room 214 Last Updated: 2/3/2009 Instructor: Dr. Annette Schwabe E-mail: aschwabe@fsu.edu Office: 425 Bellamy Building

More information

Syllabus Principles of Microeconomics ECON200-WB11 Winter Term 2016

Syllabus Principles of Microeconomics ECON200-WB11 Winter Term 2016 Syllabus Principles of Microeconomics ECON200-WB11 Winter Term 2016 Instructor: Thomas Hegland Course website: https://elms.umd.edu Textbook: Microeconomics, 1st Edition, Karlan and Morduch Objectives:

More information

GEOG 5200S Elements of Cartography : Serving the Community Through Cartography Spring 2015

GEOG 5200S Elements of Cartography : Serving the Community Through Cartography Spring 2015 GEOG 5200S Elements of Cartography : Serving the Community Through Cartography Spring 2015 Instructor Ola Ahlqvist, PhD, Associate Professor ahlqvist.1@osu.edu Office phone: 247-7997 Office address: 1049

More information

Lake-Sumter Community College Course Syllabus. STA 2023 Course Title: Elementary Statistics I. Contact Information: Office Hours:

Lake-Sumter Community College Course Syllabus. STA 2023 Course Title: Elementary Statistics I. Contact Information: Office Hours: Lake-Sumter Community College Course Syllabus Course / Prefix Number: STA 2023 Course Title: Elementary Statistics I CRN: 10105 (T TH) 10106 (M W) Credit: 3 Term: Fall 2011 Course Catalog Description:

More information

BUSINESS/PERSONAL MATH, BMGMT #140 ONLINE. This is not the course syllabus and contains general information only.

BUSINESS/PERSONAL MATH, BMGMT #140 ONLINE. This is not the course syllabus and contains general information only. BUSINESS/PERSONAL MATH, BMGMT #140 ONLINE This is not the course syllabus and contains general information only. This online Business Math course does not use ANGLE OR BLACKBOARD. Professor: Hella-Ilona

More information

EDMS 769L: Statistical Analysis of Longitudinal Data 1809 PAC, Th 4:15-7:00pm 2009 Spring Semester

EDMS 769L: Statistical Analysis of Longitudinal Data 1809 PAC, Th 4:15-7:00pm 2009 Spring Semester Instructor Dr. Jeffrey Harring 1230E Benjamin Building Phone: (301) 405-3630 Email: harring@umd.edu Office Hours Tuesday 2:00-3:00pm, or by appointment Course Objectives, Description and Prerequisites

More information

TA contact information, office hours & locations will be posted in the Course Contacts area of Blackboard by end of first week.

TA contact information, office hours & locations will be posted in the Course Contacts area of Blackboard by end of first week. Carnegie Mellon The Heinz College 95-774 Business Process Modeling Syllabus and Policies Spring 2016, mini 3 Instructor Karyn Moore Office: 3014 Hamburg Hall Office Hours: See Course Contacts on Blackboard

More information

UNIVERSITY OF MICHIGAN SCHOOL OF INFORMATION SI301: Models of Social Information Processing Syllabus

UNIVERSITY OF MICHIGAN SCHOOL OF INFORMATION SI301: Models of Social Information Processing Syllabus UNIVERSITY OF MICHIGAN SCHOOL OF INFORMATION SI301: Models of Social Information Processing Syllabus Instructor: Office: Office hours: GSI: Office Hours: Course Email: WebSite: Tanya Rosenblat < trosenbl@umich.edu>

More information

Simulation and Probabilistic Modeling

Simulation and Probabilistic Modeling Department of Industrial and Systems Engineering Spring 2009 Simulation and Probabilistic Modeling (ISyE 320) Lecture: Tuesday and Thursday 11:00AM 12:15PM 1153 Mechanical Engineering Building Section

More information

Rollins College Entrepreneurial and Corporate Finance BUS 320- H1X- 2016-01

Rollins College Entrepreneurial and Corporate Finance BUS 320- H1X- 2016-01 Professor Stephanie D. Murphy Smurphy1@rollins.edu Time: H1X Tuesday and Thursdays 4-5:15pm Location: The Lodge Reeves Office Hours: Tuesdays and Thursday, or by email to schedule Course Description This

More information

Winter 2016 MATH 631 Online University of Waterloo

Winter 2016 MATH 631 Online University of Waterloo Course Schedule IMPORTANT: ALL TIMES EASTERN - Please see the University Policies section of your Syllabus for details. Week Lecture Content Readings Activities and Assignments End / Due Date Weight (%)

More information

FIN 430: Financial Modeling (Spring 2016) Professor Russell Jame Course Overview and Objectives Course Prerequisites Required Materials

FIN 430: Financial Modeling (Spring 2016) Professor Russell Jame Course Overview and Objectives Course Prerequisites Required Materials FIN 430: Financial Modeling (Spring 2016) Professor Russell Jame BE Room 235 Office: 335J Gatton Email: russell.jame@uky.edu Office hours: TR 9 10 am, or by appointment Course Overview and Objectives This

More information

COURSE SYLLABUS INTRODUCTION TO INTERNATIONAL BUSINESS MGT 301-01 ONLINE FALL 2014

COURSE SYLLABUS INTRODUCTION TO INTERNATIONAL BUSINESS MGT 301-01 ONLINE FALL 2014 COURSE SYLLABUS INTRODUCTION TO INTERNATIONAL BUSINESS MGT 301-01 ONLINE FALL 2014 DATES COURSE TOPICS READING DEADLINES Session 1 Globalization Ch 1 (in textbook) Quiz 1: Due 08/24 11:59 08/18-08/24 Unit

More information

MATH 205 STATISTICAL METHODS

MATH 205 STATISTICAL METHODS Syllabus Objective MATH 205 STATISTICAL METHODS Course Syllabus The purpose of this syllabus is to guide the participant in the requirements, demands, logistics and expectations of this course. Getting

More information

BCE 101 SAMPLE COURSE SYLLABUS

BCE 101 SAMPLE COURSE SYLLABUS BCE 101 SAMPLE COURSE SYLLABUS Instructor: Office/Office Hours: /By appointment Telephone/E-mail: Class Time: Class Location: Credit: 2 credit hours, Pass/Fail Also required: Text: UA Fundamentals: Adjusting

More information

ECON-2105, Principles of Macroeconomics, 1rst Half Term, Spring/2016

ECON-2105, Principles of Macroeconomics, 1rst Half Term, Spring/2016 Syllabus ECON-2105, Principles of Macroeconomics, 1rst Half Term, Spring/2016 INSTRUCTOR INFORMATION Instructor: Bettie LaDuke Email: bettie.laduke@gpc.edu Office hours: M-Th: 11 a.m.-1:00 p.m. Tues &

More information

THE UNIVERSITY OF TEXAS AT BROWNSVILLE College of Education Syllabus

THE UNIVERSITY OF TEXAS AT BROWNSVILLE College of Education Syllabus THE UNIVERSITY OF TEXAS AT BROWNSVILLE College of Education Syllabus Conceptual Framework & Knowledge Base The conceptual framework contains four core concepts, which are themes through which we organize

More information

MATH 2103 Business Calculus Oklahoma State University HONORS Spring 2015 Instructor: Dr. Melissa Mills 517 Math Sciences memills@math.okstate.

MATH 2103 Business Calculus Oklahoma State University HONORS Spring 2015 Instructor: Dr. Melissa Mills 517 Math Sciences memills@math.okstate. MATH 2103 Business Calculus Oklahoma State University HONORS Spring 2015 Instructor: Dr. Melissa Mills 517 Math Sciences memills@math.okstate.edu 744-1689 Office Hours: Monday 11:30am in MSCS 517 Tuesday

More information

DPLS 722 Quantitative Data Analysis

DPLS 722 Quantitative Data Analysis DPLS 722 Quantitative Data Analysis Spring 2011 3 Credits Catalog Description Quantitative data analyses require the use of statistics (descriptive and inferential) to summarize data collected, to make

More information

Section Format Day Begin End Building Rm# Instructor. 001 Lecture Tue 6:45 PM 8:40 PM Silver 401 Ballerini

Section Format Day Begin End Building Rm# Instructor. 001 Lecture Tue 6:45 PM 8:40 PM Silver 401 Ballerini NEW YORK UNIVERSITY ROBERT F. WAGNER GRADUATE SCHOOL OF PUBLIC SERVICE Course Syllabus Spring 2016 Statistical Methods for Public, Nonprofit, and Health Management Section Format Day Begin End Building

More information

Cleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108

Cleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108 Cleveland State University NAL/PAD/PDD/UST 504 Section 51 Levin College of Urban Affairs Fall, 2009 W 6 to 9:50 pm UR 108 Department of Urban Studies Email: w.weizer @csuohio.edu Instructor: Winifred Weizer

More information

ECON 351: Microeconomics for Business

ECON 351: Microeconomics for Business ECON 351: Microeconomics for Business Spring 2014 Location: SLH 102 Day & Time: TTh 8:00-9:50am Section Number: 26351R Professor: Rahşan Akbulut Office: ACC 301 K Office hours: Tuesday 10:30-11:30am, Thursday

More information

ECO 250 Economics and Business Statistics I Fall 2009 Online Course

ECO 250 Economics and Business Statistics I Fall 2009 Online Course Instructor: Email: ECO 250 Economics and Business Statistics I Fall 2009 Online Course Dr. Michelle Sheran You should direct your questions to my graduate assistant, Matt Rabbit. Matt is the primary contact

More information

MBA 6410 Strategic Global Marketing 3 Credit Hours Milton Fall Term 2, 2014

MBA 6410 Strategic Global Marketing 3 Credit Hours Milton Fall Term 2, 2014 MBA 6410 Strategic Global Marketing 3 Credit Hours Fall Term 2, 2014 Instructor: Professor Steven P. Gunning, J.D., MBA Office Location: AAPC Meeting Time: Tuesday 5:30pm 9:00pm MBA Office Hours: By appointment

More information

General Psychology. Fall 2015

General Psychology. Fall 2015 General Psychology Fall 2015 Dr. Mary E. McKemy (pronounced Mc-KAY-me, but feel free to call me Mary) Kinard 123 (down the hall from the Psychology Office) 323-2643 (Office) and 328-9978 (Home -- please

More information

Fairfield Public Schools

Fairfield Public Schools Mathematics Fairfield Public Schools AP Statistics AP Statistics BOE Approved 04/08/2014 1 AP STATISTICS Critical Areas of Focus AP Statistics is a rigorous course that offers advanced students an opportunity

More information

OPERATIONS MANAGEMENT (OM335: 04285, 04290)

OPERATIONS MANAGEMENT (OM335: 04285, 04290) OPERATIONS MANAGEMENT (OM335: 04285, 04290) MEETING TIME & LOCATION: SYLLABUS, Spring 2016 Mondays and Wednesdays, 12:30PM-2:00PM, UTC 1.144 Mondays and Wednesdays, 2:00PM-3:30PM, UTC 1.144 INSTRUCTOR:

More information

BADM323: Information Systems for Business Professionals SU2016 Online Course

BADM323: Information Systems for Business Professionals SU2016 Online Course Catalog Description BADM323: Information Systems for Business Professionals This course provides the knowledge and understanding of how information can be used in a business organization for achieving

More information

Oklahoma City Community College Academic Division of Business BUS 2023 BUSINESS STATISTICS

Oklahoma City Community College Academic Division of Business BUS 2023 BUSINESS STATISTICS Oklahoma City Community College Academic Division of Business BUS 2023 BUSINESS STATISTICS Course/ Meeting information Semester: Fall 2014 Section: TR01F Meeting Times: 5:30 PM Thursdays Location: 2N5

More information

SUFFOLK COMMUNITY COLLEGE MATHEMATICS AND COMPUTER SCIENCE DEPARTMENT STUDENT COURSE OUTLINE Summer 2014

SUFFOLK COMMUNITY COLLEGE MATHEMATICS AND COMPUTER SCIENCE DEPARTMENT STUDENT COURSE OUTLINE Summer 2014 SUFFOLK COMMUNITY COLLEGE MATHEMATICS AND COMPUTER SCIENCE DEPARTMENT STUDENT COURSE OUTLINE Summer 2014 INSTRUCTOR: Professor Emeritus Donald R. Coscia OFFICE: e-mail COURSE: MAT131-Calculus for Non-Science

More information

Statistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus

Statistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus Statistics with Aviation Applications Math 211 Mode of Delivery Lecture Blended Course Syllabus Credit Hours: 3 Credits Academic Term: Term 4: 23 March 2015 24 May 2015 Meetings: Thurs 18:00-22:00 26 Mar;

More information

FI 630 Financial Management I

FI 630 Financial Management I Course Syllabus FI 630 Financial Management I Course Information Course: Financial Management I FI 630 Term: MBA winter, 2016 Credit Hours: 3 Prerequisite: AC 501, EC 501, EC 540 or equivalents. Recommended

More information

PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050

PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050 PELLISSIPPI STATE COMMUNITY COLLEGE MASTER SYLLABUS INTRODUCTION TO STATISTICS MATH 2050 Class Hours: 2.0 Credit Hours: 3.0 Laboratory Hours: 2.0 Date Revised: Fall 2013 Catalog Course Description: Descriptive

More information

DSBA/MBAD 6211 Advanced Business Analytics UNC Charlotte Fall 2015

DSBA/MBAD 6211 Advanced Business Analytics UNC Charlotte Fall 2015 DSBA/MBAD 6211 Advanced Business Analytics UNC Charlotte Fall 2015 Instructor: Dr. Kexin Zhao Office: 351B Friday Phone: 704-687-7637 Email: kzhao2@uncc.edu Class Hours: Monday 5:30-8:15pm Classroom: Center

More information

University of Florida ADV 3502, Section 7E39 Advertising Sales Summer C 2016

University of Florida ADV 3502, Section 7E39 Advertising Sales Summer C 2016 University of Florida ADV 3502, Section 7E39 Advertising Sales Summer C 2016 Instructor: Robert Padovano, Adjunct Lecturer Office Hours: Weimer #2093 Email: rpadovano@ufl.edu Tuesdays 10am-1:00pm or by

More information

Statistics 3202 Introduction to Statistical Inference for Data Analytics 4-semester-hour course

Statistics 3202 Introduction to Statistical Inference for Data Analytics 4-semester-hour course Statistics 3202 Introduction to Statistical Inference for Data Analytics 4-semester-hour course Prerequisite: Stat 3201 (Introduction to Probability for Data Analytics) Exclusions: Class distribution:

More information

UNIVERSITY OF NORTH GEORGIA DEPARTMENT OF CRIMINAL JUSTICE COURSE SYLLABUS CRJU 4350/6350 FAMILY VIOLENCE FALL 2015 ONLINE

UNIVERSITY OF NORTH GEORGIA DEPARTMENT OF CRIMINAL JUSTICE COURSE SYLLABUS CRJU 4350/6350 FAMILY VIOLENCE FALL 2015 ONLINE UNIVERSITY OF NORTH GEORGIA DEPARTMENT OF CRIMINAL JUSTICE COURSE SYLLABUS CRJU 4350/6350 FAMILY VIOLENCE FALL 2015 ONLINE Instructor: Dr. Allen E-mail Address: Jennifer.allen@ung.edu Office Location:

More information

ACG 3151-003 (10061) INTERMEDIATE THEORY III (3 credit hours) Tentative Syllabus spring 2012 Class hours: Wednesdays, 7:10 p.m. 10:00 p.m.

ACG 3151-003 (10061) INTERMEDIATE THEORY III (3 credit hours) Tentative Syllabus spring 2012 Class hours: Wednesdays, 7:10 p.m. 10:00 p.m. INTERMEDIATE THEORY III (3 credit hours) Tentative Syllabus spring 2012 Class hours: Wednesdays, 7:10 p.m. 10:00 p.m. LA 234 Instructor George R. Young II, PhD, CPA Phone: (954) 236-1195 E-mail: gyoung@fau.edu

More information

PSY 311: Research Methods in Psychology I (FALL 2011) Course Syllabus

PSY 311: Research Methods in Psychology I (FALL 2011) Course Syllabus PSY 311: Research Methods in Psychology I (FALL 2011) Course Syllabus Instructor: John V. Petrocelli Class Days: Tuesday/Thursday E-mail: petrocjv@wfu.edu Time: 9:30-10:45 Office: 459 Greene Hall Location:

More information