Courses for Information Systems, Statistics and Management Science 1
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Project Management © Adrienne Watt
Project Management © Adrienne Watt This work is licensed under a Creative Commons-ShareAlike 4.0 International License Original source: The Saylor Foundation http://open.bccampus.ca/find-open-textbooks/?uuid=8678fbae-6724-454c-a796-3c666 7d826be&contributor=&keyword=&subject= Contents Introduction ...................................................................................................................1 Preface ............................................................................................................................2 About the Book ..............................................................................................................3 Chapter 1 Project Management: Past and Present ....................................................5 1.1 Careers Using Project Management Skills ......................................................................5 1.2 Business Owners ...............................................................................................................5 Example: Restaurant Owner/Manager ..........................................................................6 1.2.1 Outsourcing Services ..............................................................................................7 Example: Construction Managers ..........................................................................8 1.3 Creative Services ................................................................................................................9 Example: Graphic Artists ...............................................................................................10 -
Omegahat Packages for R
News The Newsletter of the R Project Volume 1/1, January 2001 Editorial by Kurt Hornik and Friedrich Leisch As all of R, R News is a volunteer project. The editorial board currently consists of the R core devel- Welcome to the first volume of R News, the newslet- opment team plus Bill Venables. We are very happy ter of the R project for statistical computing. R News that Bill—one of the authorities on programming the will feature short to medium length articles covering S language—has offered himself as editor of “Pro- topics that might be of interest to users or developers grammer’s Niche”, a regular column on R/S pro- of R, including gramming. This first volume already features a broad range Changes in R: new features of the latest release • of different articles, both from R core members and other developers in the R community (without Changes on CRAN: new add-on packages, • whom R would never have grown to what it is now). manuals, binary distributions, mirrors, . The success of R News critically depends on the ar- Add-on packages: short introductions to or re- ticles in it, hence we want to ask all of you to sub- • views of R extension packages mit to R News. There is no formal reviewing pro- cess yet, however articles will be reviewed by the ed- Programmer’s Niche: nifty hints for program- itorial board to ensure the quality of the newsletter. • ming in R (or S) Submissions should simply be sent to the editors by email, see the article on page 30 for details on how to Applications: Examples of analyzing data with • write articles. -
Kwame Nkrumah University of Science and Technology, Kumasi
KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY, KUMASI, GHANA Assessing the Social Impacts of Illegal Gold Mining Activities at Dunkwa-On-Offin by Judith Selassie Garr (B.A, Social Science) A Thesis submitted to the Department of Building Technology, College of Art and Built Environment in partial fulfilment of the requirement for a degree of MASTER OF SCIENCE NOVEMBER, 2018 DECLARATION I hereby declare that this work is the result of my own original research and this thesis has neither in whole nor in part been prescribed by another degree elsewhere. References to other people’s work have been duly cited. STUDENT: JUDITH S. GARR (PG1150417) Signature: ........................................................... Date: .................................................................. Certified by SUPERVISOR: PROF. EDWARD BADU Signature: ........................................................... Date: ................................................................... Certified by THE HEAD OF DEPARTMENT: PROF. B. K. BAIDEN Signature: ........................................................... Date: ................................................................... i ABSTRACT Mining activities are undertaken in many parts of the world where mineral deposits are found. In developing nations such as Ghana, the activity is done both legally and illegally, often with very little or no supervision, hence much damage is done to the water bodies where the activities are carried out. This study sought to assess the social impacts of illegal gold mining activities at Dunkwa-On-Offin, the capital town of Upper Denkyira East Municipality in the Central Region of Ghana. The main objectives of the research are to identify factors that trigger illegal mining; to identify social effects of illegal gold mining activities on inhabitants of Dunkwa-on-Offin; and to suggest effective ways in curbing illegal mining activities. Based on the approach to data collection, this study adopts both the quantitative and qualitative approach. -
Management Science
MANAGEMENT SCIENCE CSE DEPARTMENT 1 JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD Iv Year B.Tech. CSE- II Sem MANAGEMENT SCIENCE Objectives: This course is intended to familiarise the students with the framework for the managers and leaders availbale for understanding and making decisions realting to issues related organiational structure, production operations, marketing, Human resource Management, product management and strategy. UNIT - I: Introduction to Management and Organisation: Concepts of Management and organization- nature, importance and Functions of Management, Systems Approach to Management - Taylor's Scientific Management Theory- Fayal's Principles of Management- Maslow's theory of Hierarchy of Human Needs- Douglas McGregor's Theory X and Theory Y - Hertzberg Two Factor Theory of Motivation - Leadership Styles, Social responsibilities of Management, Designing Organisational Structures: Basic concepts related to Organisation - Departmentation and Decentralisation, Types and Evaluation of mechanistic and organic structures of organisation and suitability. UNIT - II: Operations and Marketing Management: Principles and Types of Plant Layout-Methods of Production(Job, batch and Mass Production), Work Study - Basic procedure involved in Method Study and Work Measurement - Business Process Reengineering(BPR) - Statistical Quality Control: control charts for Variables and Attributes (simple Problems) and Acceptance Sampling, TQM, Six Sigma, Deming's contribution to quality, Objectives of Inventory control, EOQ, ABC Analysis, -
Abstract and Background Project Management Has Been Practiced Since Early Civili- Zation
Business Theory Project Management: Science or a Craft? Abdulrazak Abyad Correspondence: A. Abyad, MD, MPH, MBA, DBA, AGSF , AFCHSE CEO, Abyad Medical Center, Lebanon. Chairman, Middle-East Academy for Medicine of Aging http://www.meama.com, President, Middle East Association on Age & Alzheimer’s http://www.me-jaa.com/meaaa.htm Coordinator, Middle-East Primary Care Research Network http://www.mejfm.com/mepcrn.htm Coordinator, Middle-East Network on Aging http://www.me-jaa.com/menar-index.htm Email: [email protected] Development of Project Management thinking Abstract and background Project management has been practiced since early civili- zation. Until 1900 civil engineering projects were generally managed by creative architects, engineers, and master build- Projects in one form or another have been undertaken for ers themselves. It was in the 1950s that organizations started millennia, but it was only in the latter part of the 20th cen- to systematically apply project management tools and tech- tury people started talking about ‘project management’. niques to complex engineering projects (Kwak, 2005). How- Project Management (PM) is becoming increasingly im- ever, project management is a relatively new and dynamic portant in almost any kind of organization today (Kloppen- research area. The literature on this field is growing fast and borg & Opfer, 2002). Once thought applicable only to large receiving wider contribution of other research fields, such as scale projects in construction, R&D or the defence field, psychology, pedagogy, management, engineering, simulation, PM has branched out to almost all industries and is used sociology, politics, linguistics. These developments make the as an essential strategic element for managing and affect- field multi-faced and contradictory in many aspects. -
In This Issue
SCASA: SOUTHERN CALIFORNIA CHA P- E-Tidings Newsletter TER OF THE AMERI- CAN STATISTICAL ASSOCIATION SCASA Events and News VOLUME 8, ISSUES 1 - 2 JANUARY - FEBRUARY 2019 In This Issue Page 2: New SCASA board Pages 3-4: Presidential address Page 5: Book Club Page 6: Online store Page 7: Statistics Poster competition Page 8: DataFest Page 9: Careers Day Page 10: Applied Statistics Workshop Page 11: Traveling course Page 12: Job Opening Announcement Page 13: Dr. Normalcurvesaurus, Ph.D. presents The answer is at the bottom of this issue. http://community.amstat.org/scasa/newsletters VOLUME 8, ISSUES 1 - 2 P A G E 2 SCASA Officers 2019-2020 : CONGRATULATIONS TO ALL ELECTED AND RE-ELECTED!!! We have the newly elected SCASA board!!! Congratulations to Everyone!!! President: James Joseph, AKAKIA [[email protected]] President-Elect: Rebecca Le, County of Riverside [[email protected]] Immediate Past President: Olga Korosteleva, CSULB [[email protected]] Treasurer: Olga Korosteleva, CSULB [[email protected]] Secretary: Michael Tsiang, UCLA [[email protected]] Vice President of Professional Affairs: Anna Liza Antonio, Enterprise Analytics [[email protected]] Vice President of Academic Affairs: Shujie Ma, UCR [[email protected]] Vice President for Student Affairs: Anna Yu Lee, APU and Claremont Graduate University [[email protected]] The ASA Council of Chapters Representative: Harold Dyck, CSUSB [[email protected]] ENewsletter Editor-in-Chief: Olga Korosteleva, CSULB [[email protected]] Chair of the Applied Statistics Workshop Committee: James Joseph, AKAKIA [[email protected]] Treasurer of the Applied Statistics Workshop: Rebecca Le, County of Riverside [[email protected]] Webmaster: Anthony Doan, CSULB [[email protected]] http://community.amstat.org/scasa/newsletters P A G E 3 VOLUME 8, ISSUES 1 - 2 “GROW STRONG” Presidential Address Southern California may be the most diverse job market in the United States, if not the world. -
Topic 6: Projected Dynamical Systems
Topic 6: Projected Dynamical Systems Professor Anna Nagurney John F. Smith Memorial Professor and Director – Virtual Center for Supernetworks Isenberg School of Management University of Massachusetts Amherst, Massachusetts 01003 SCH-MGMT 825 Management Science Seminar Variational Inequalities, Networks, and Game Theory Spring 2014 c Anna Nagurney 2014 Professor Anna Nagurney SCH-MGMT 825 Management Science Seminar Projected Dynamical Systems A plethora of equilibrium problems, including network equilibrium problems, can be uniformly formulated and studied as finite-dimensional variational inequality problems, as we have seen in the preceding lectures. Indeed, it was precisely the traffic network equilibrium problem, as stated by Smith (1979), and identified by Dafermos (1980) to be a variational inequality problem, that gave birth to the ensuing research activity in variational inequality theory and applications in transportation science, regional science, operations research/management science, and, more recently, in economics. Professor Anna Nagurney SCH-MGMT 825 Management Science Seminar Projected Dynamical Systems Usually, using this methodology, one first formulates the governing equilibrium conditions as a variational inequality problem. Qualitative properties of existence and uniqueness of solutions to a variational inequality problem can then be studied using the standard theory or by exploiting problem structure. Finally, a variety of algorithms for the computation of solutions to finite-dimensional variational inequality problems are now available (see, e.g., Nagurney (1999, 2006)). Professor Anna Nagurney SCH-MGMT 825 Management Science Seminar Projected Dynamical Systems Finite-dimensional variational inequality theory by itself, however, provides no framework for the study of the dynamics of competitive systems. Rather, it captures the system at its equilibrium state and, hence, the focus of this tool is static in nature. -
Management Science (MSC) 1
Management Science (MSC) 1 Management Science (MSC) MSC 287 - BUSINESS STATISTICS I Semester Hours: 3 Introduction to probability & business statistics. Covers: tabular, graphical, and numerical methods for descriptive statistics; measures of central tendency, dispersion, and association; probability distributions; sampling and sampling distributions; and confidence intervals. Uses spreadsheets to solve problems. Prerequisite: Any 100 level MA course. MSC 288 - BUSINESS STATISTICS II Semester Hours: 3 Inferential statistics for business decisions. Topics include: review of sampling distributions and estimation; inferences about means, proportions, and variances with one and two populations; good of fit tests; analysis of variance and experimental design; simple linear regression; multiple linear regression; non parametric methods. Prerequisite: MSC 287. MSC 385 - OPERATIONS ANALYSIS Semester Hours: 3 Survey of the firm's production function and quantitative tools for solving production problems, quality management, learning curves, assembly and waiting lines, linear programming, inventory, and other selected topics (e.g., scheduling, location, supply chain management). Uses the SAP software. Prerequisite: MSC 288. MSC 410 - TRANSPORTATION & LOGISTICS Semester Hours: 3 An analysis of transportation and logistical services to include customer service, distribution operations, purchasing, order processing, facility design and operations, carrier selection, transportation costing, and negotiation. Prerequisite: MKT 301. MSC 411 - SUPPLY CHAIN MANAGEMENT Semester Hours: 3 Supply chain management focuses on networks of companies that deliver value to customers. The course focuses on understanding integrated supply chains and examines how product development and design, demand, marketing, globalization, customer locations, distribution networks, suppliers and ERP systems impact a company's supply chain design. Prerequisite: MSC 287. MSC 412 - ARMY SENIOR LOGISTICIAN-ADV Semester Hours: 3 The Senior Logistician Advanced Course (SLAC) is part of the U.S. -
Management Science 1
Management Science 1 MANAGEMENT SCIENCE Department Code: MAS Introduction Management Science uses the ideas and methods of science, mathematics, statistics, and computing, which collectively are often referred to as Business Analytics, to help managers make better business decisions. Management science techniques have been applied in a wide variety of areas including financial modeling, marketing research, organizational theory, transportation and logistics, health care, environmental protection, and manufacturing. Almost any decision can benefit from the methods of management science/analytics. Educational Objectives The Department of Management Science offers a major area of specialization in Business Analytics as well as a minor in Business Analytics. The Business Analytics curriculum is designed to give Miami Herbert Business School students the necessary educational background and experience to allow them to work as successful business analytics professionals. Students pursuing the Bachelor of Business Administration (BBA) degree with a major area of specialization in Business Analytics are trained to combine quantitative, statistical, and computational tools and techniques to help companies understand, predict, and act on large amounts of data, improving decision-making in increasingly complex and interconnected business environments. For students pursuing the Bachelor of Science in Business Administration (BSBA) degree program, the major in Business Analytics requires a solid background in the sciences and mathematics. Additionally, students are required to take sequences of courses in optimization, decision science, and data analytics. A number of the courses in the Business Analytics curriculum require projects, in which the student evaluates a real-world system or process. As the system is studied and modeled, the student applies management science methods to find ways to improve the process. -
Non-Inferiority, Superiority, Equivalence, and Two-Sided Tests Vs
NCSS Statistical Software NCSS.com Chapter 516 Two Proportions – Non-Inferiority, Superiority, Equivalence, and Two- Sided Tests vs. a Margin Introduction This chapter documents four closely related procedures: non-inferiority tests, superiority (by a margin) tests, equivalence tests, and two-sided tests versus a margin. These procedures compute both asymptotic and exact confidence intervals and hypothesis tests for the difference, ratio, and odds ratio of two proportions. Non-Inferiority Tests Non-inferiority tests are one-sided hypothesis tests in which the null and alternative hypotheses are arranged to test whether one group is almost as good (not much worse) than the other group. So, we might be interested in showing that a new, less-expensive method of treatment is no worse than the current method of treatment. Superiority Tests Superiority tests are one-sided hypothesis tests in which the null and alternative hypotheses are arranged to test whether one group is better than the other group by more than a stated margin. So, we might be interested in showing that a new method of treatment is better by more than a clinically insignificant amount. Equivalence Tests Equivalence tests are used to show conclusively that two methods (i.e. drugs) are equivalent. The conventional method of testing equivalence hypotheses is to perform two, one-sided tests (TOST) of hypotheses. The null hypothesis of non-equivalence is rejected in favor of the alternative hypothesis of equivalence if both one-sided tests are rejected. Unlike the common two-sided tests, however, the type I error rate is set directly at the nominal level (usually 0.05)—it is not split in half. -
Management Science (MS)
Management Science (MS) MS 5363. Pricing and Revenue Management. (3-0) 3 Credit Hours. MANAGEMENT SCIENCE (MS) Revenue Management is about “providing the right product to the right customers at the right time at the right price.” The main goal of Management Science (MS) Courses this course is to apply revenue management practices to appropriate MS 5003. Quantitative Methods for Business Analysis. (3-0) 3 Credit industries successfully. Specifically, the course will provide tools to Hours. forecast customer demand successfully, identify pricing and revenue Prerequisites: MAT 1033 and MS 1023, their equivalents, or consent opportunities, understand the impact of constrained capacity, opportunity of instructor. Introduction to managerial decision analysis using costs, customer response, demand uncertainty and market segmentation quantitative and statistical tools. Course includes a general framework on pricing decisions, and accordingly formulate and solve pricing for structuring and analyzing decision problems. Some of the topics optimization problems for revenue maximization. The material covered in include decision theory, statistical techniques (such as analysis of the course assumes a basic understanding of probability and probability variance, regression, nonparametric tests), introduction to linear distributions, some knowledge of spreadsheet modeling, and using Excel programming, and introduction to time series. Uses applicable decision Solver or similar optimization tools to get a solution. Differential Tuition: support software. Differential Tuition: $387. $387. MS 5023. Decision Analysis and Production Management. (3-0) 3 Credit MS 5383. Supply Chain Analytics. (3-0) 3 Credit Hours. Hours. The main goal of this course is to integrate data analytics with supply Prerequisite: MS 5003 or an equivalent. Study of applications of chain management. -
Optimization Methods in Management Science and Operations Research
15.053/8 February 5, 2013 Optimization Methods in Management Science and Operations Research Handout: Lecture Notes 1 Class website + more Class website – please log on as soon as possible – Problem Set 1 will be due next Tuesday Lots of class information on website Piazza.com used for Q&A and discussions No laptops permitted in class, except by permission laptops 2 We will use clickers from Turning Technologies. If you own one, please bring it to class with you, starting Thursday. If you don’t own one, we will lend you one for the semester. 3 Videotapes of classes Current plan: start videotaping lectures starting Today (I think). In addition, PowerPoint presentations will all be available. 4 Excel and Excel Solver During this semester, we will be using Excel Solver for solving optimization problems. We assume some familiarity with Excel, but no familiarity with Excel Solver. Homework exercises involve Excel. – Versions A and B (experiment starting this year). – Excel Solver tutorial this Friday 5 An optimization problem Given a collection of numbers, partition them into two groups such that the difference in the sums is as small as possible. Example: 7, 10, 13, 17, 20, 22 These numbers sum to 89 I can split them into {7, 10, 13, 17} sum is 47 {20, 22} sum is 42 Difference = 5. Can we do better? Excel Example 6 What is Operations Research? What is Management Science? World War II : British military leaders asked scientists and engineers to analyze several military problems – Deployment of radar – Management of convoy, bombing, antisubmarine, and mining operations.