lecture slide for mba ob
Bài giảng Quản trị Dự Án Project management lecture slide for MBA
... Defining the Project State the problem/opportunity Identify the goal List SMART objectives Determine success criteria Identify risks & assumptions SMART Objectives Specific Measurable ... TM Derive budget for marketing plan TM Obtain management approval TM Source welcome gifts AK Design promotion materials HL Design spending program criteria TM Source rewards for spending AK Printing ... 18 Obtain management approval Gantt Chart Events Feb Mar Resources 10 11 12 13 16 17 18 19 20 23 24 25 26 27 10 11 12 13 16 17 18 Derive marketing plan TM Derive budget for marketing plan TM Obtain...
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Vocabulary for MBA
... in MBA for figuring out what information you need to solve a problem by analyzing what information you have in an effort to determine what information is missing Often, it is this missing information ... solve the problem)." "Sometimes you have to just attack the problem (take action to solve a problem even though there is not enough information to make the solution obvious)." B Back and forth - ... That story is obviously false)." Glee club - (Noun) Singing group "We may be forming the Kenan-Flagler glee club." Global - (Adjective) Foreign International "How you get ready for a global assignment,...
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Some studies on a probabilistic framework for finding object-oriented information in unstructured data
... probabilistic framework for finding object-oriented information in unstructured data 13 2.3.1 Problem definitions 13 2.3.2 The probabilistic framework .14 2.3.3 Object ... structured information as an object with its attributes The problem of finding structured information on the web becomes object retrieval problem Unfortunately, the current information retrieval approaches ... engine for finding object on the web The thesis presents an investigation into the problem of searching for object, plausible solutions related to the problem In particular, the main objectives...
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FOOD AND BEVERAGE INDUSTRY MARKETING PRACTICES AIMED AT CHILDREN: DEVELOPING STRATEGIES FOR PREVENTING OBESITY AND DIABETES pdf
... options and strategies for action Developing Strategies for Preventing Obesity The authors thank the following presenters for participating in this meeting and providing materials for this report: ... demonized the way efforts to reduce youth using tobacco or alcohol have portrayed those substances Unlike tobacco and alcohol, we need food Developing Strategies for Preventing Obesity 14 Communities ... Strategies for Preventing Obesity www.calendow.org The California Endowment 21650 Oxnard Street Suite 1200 Woodland Hills, CA 91367 800.449.4149 Established by Blue Cross of California CM/PA Obesity...
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Anti-corruption guidelines (“Toolkit”) for MBA curriculum change 2012 pdf
... governmental corruption prevention efforts For information asymmetries, see http://nobelprize.org/nobel_prizes/economics/laureates/2001/public.html 2001 Nobel Prize citations for George A Akerlof, A Michael ... this process then formulate and enforce specific rules of conduct See for example, the US Constitution Such evolution can be critical to success in a global business institution effort to articulate ... safeguarding of information? (10) The Developing Global Anticorruption Compliance Regime: Topics include (a) global public policy principles and how are they promoted/enforced (e.g., UN Global Compact’s...
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lecture 8 for student
... after cooling and incubated at room temperature for 10 CuSO4-K Na Tartrate-NaOH solution is added after cooling and incubated at room temperature for 10min Freshly prepared Folin reagent is added ... then the reaction mixture is mixed and incubated at 50◦C for 10 Absorbance is read at 650 nm A standard curve of BSA is carefully constructed for estimating protein concentration of the unknown Application ... all types of foods Inexpensive (if not using an automated system) Accurate; an official method for crude protein content Has been modified (micro Kjeldahl method) to measure microgram quantities...
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Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining ppt
... techniques infeasible for raw data Data mining may help scientists – in classifying and segmenting data – in Hypothesis Formation Mining Large Data Sets - Motivation There is often information “hidden” ... Approach: • Use the data for a similar product introduced before • We know which customers decided to buy and which decided otherwise This {buy, don’t buy} decision forms the class attribute ... a set of objects, with each object associated with its own timeline of events, find rules that predict strong sequential dependencies among different events (A B) (C) (D E) Rules are formed by...
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Data Mining: Data Lecture Notes for Chapter 2 Introduction to Data Mining potx
... Data Quality What kinds of data quality problems? How can we detect problems with the data? What can we about these problems? Examples of data quality problems: – Noise and outliers – missing values ... two data objects are – Is higher when objects are more alike – Often falls in the range [0,1] Dissimilarity – – – – Numerical measure of how different are two data objects Lower when objects are ... provide enough information to order objects () hardness of minerals, {good, better, best}, grades, street numbers median, percentiles, rank correlation, run tests, sign tests Interval For interval...
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Data Mining: Exploring Data Lecture Notes for Chapter 3 Introduction to Data Mining potx
... a visual format Data objects, their attributes, and the relationships among data objects are translated into graphical elements such as points, lines, shapes, and colors Example: – Objects are ... similarity or distance matrices can also be useful for visualizing the relationships between objects – Examples of matrix plots are presented on the next two slides © Tan,Steinbach, Kumar Introduction ... class of objects group together, at least for some attributes – Ordering of attributesMining important in seeing 26 © Tan,Steinbach, Kumar Introduction to Data is Parallel Coordinates Plots for Iris...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
... interesting information • Minimum (0.0) when all records belong to one class, implying most interesting information © Tan,Steinbach, Kumar Introduction to Data Mining 42 Examples for Computing ... 0.194 + 5/12 * 0.528 = 0.333 34 Categorical Attributes: Computing Gini Index For each distinct value, gather counts for each class in the dataset Use the count matrix to make decisions Two-way ... Kumar Introduction to Data Mining 36 Continuous Attributes: Computing Gini Index For efficient computation: for each attribute, – Sort the attribute on values – Linearly scan these values, each...
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Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf
... RIPPER For 2-class problem, choose one of the classes as positive class, and the other as negative class – Learn rules for positive class – Negative class will be default class For multi-class problem ... Tan,Steinbach, Kumar Introduction to Data Mining 48 Bayes Classifier A probabilistic framework for solving classification problems Conditional Probability: P ( A, C ) P (C | A) = P ( A) Bayes theorem: P ( ... decision tree For each rule, r: A → y, – consider an alternative rule r’: A’ → y where A’ is obtained by removing one of the conjuncts in A – Compare the pessimistic error rate for r against...
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
... the following information: – Itemset for node P – List of possible lexicographic extensions of P: E(P) – Pointer to projected database of its ancestor node – Bitvector containing information about ... Methods for Frequent Itemset Generation Traversal of Itemset Lattice – General-to-specific vs Specific-to-general © Tan,Steinbach, Kumar Introduction to Data Mining 32 Alternative Methods for Frequent ... Alternative Methods for Frequent Itemset Generation Traversal of Itemset Lattice – Breadth-first vs Depth-first © Tan,Steinbach, Kumar Introduction to Data Mining 34 Alternative Methods for Frequent...
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Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
... Agrawal Discretization will lose information Approximated X X – Use partial completeness measure to determine how much information is lost C: frequent itemsets obtained by considering all ranges ... greater than years (i.e., ∆ = 5) – For r, suppose n1 = 50, s1 = 3.5 – For r’ (complement): n2 = 250, s2 = 6.5 µ'−µ − ∆ 30 − 23 − Z= 2 s s + n1 n2 = 2 + 50 250 = 3.11 – For 1-sided test at 95% confidence ... Apply existing frequent itemset generation on the rest of the data – For each frequent itemset, compute the descriptive statistics for the corresponding target variable • Frequent itemset becomes...
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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
... given objective function (NP Hard) – Can have global or local objectives • Hierarchical clustering algorithms typically have local objectives • Partitional algorithms typically have global objectives ... Introduction to Data Mining 15 Types of Clusters: Objective Function Clusters Defined by an Objective Function – Finds clusters that minimize or maximize an objective function – Enumerate all possible ... Cluster Analysis? Finding groups of objects such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups Inter-cluster...
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Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot
... hierarchical clustering scheme to cluster the data Obtain a sample of points from the data set Compute the link value for each set of points, i.e., transform the original similarities (computed by Jaccard ... Neighbors © Tan,Steinbach, Kumar Introduction to Data Mining 26 ROCK (RObust Clustering using linKs) Clustering algorithm for data with categorical and Boolean attributes – A pair of points is ... to noise/outliers • MAX/GROUP AVERAGE: may not work well with non-globular clusters – CURE algorithm tries to handle both problems Often starts with a proximity matrix – A type of graph-based...
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LECTURE NOTES-For Environmental Health Science Students: Air Pollution ppt
... question 92 CHAPTER FIVE: Global Environmental Problems Due to Air Pollution 93 5.1 Learning Objective 93 5.2 Introduction to the Chapter 93 5.3 Global warming (Green house effect) ... entertaining some interventional measures among the communities, is obvious The present lecture note on “Air pollution” is therefore, prepared to be used as a teaching material to train mainly environmental ... Carter Center, Atlanta Georgia, for financial supports to the subsequent workshops conducted to develop the lecture note The Carter Center would also be acknowledged for providing useful guidelines,...
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Responsibility of Applicants for Promoting Objectivity in Research for which Public Health Service Funding is Sought and Responsible Prospective Contractors pot
... $70 for FCOI report and $70 for mitigation report $70 × 50 = $3,500 for FCOI report and $70 × = $350 for mitigation report Total = $3,850 950 63 950 64 for reporting FCOI and for ... 11,400 10,000 NA for FCOI report and for mitigation report 50×2 = 100 for FCOI report and 5×2=10 for mitigation report Total =110 950 90 950 91 for reporting FCOI and for mitigation ... contract, including regulatory obligations designed to promote objectivity in PHSfunded research The regulation specifically provides for enforcement of these obligations, stating at 94.6(b)...
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Praise for Learning Objective-C 2.0 potx
... Praise for Learning Objective-C 2.0 “With Learning Objective-C 2.0, Robert Clair cuts right to the chase and provides not only comprehensive coverage of Objective-C, but also time-saving ... Learning Objective-C 2.0 www.it-ebooks.info This page intentionally left blank www.it-ebooks.info Learning Objective-C 2.0 A Hands-On Guide to Objective-C for Mac and iOS Developers Robert Clair ... Congress Cataloging-in-Publication Data Clair, Robert, 1950– Learning Objective-C 2.0 : a hands-on guide to Objective-C for Mac and iOS developers / Robert Clair p cm Includes index ISBN-13: 978-0-321-71138-0...
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Manual for MBA Internship Programme doc
... MANUAL FOR INTERNSHIP TRAINING PROGRAMME Introduction After completion of compulsory courses for MBA, MBA (Banking & Finance) and MBA- IT, the students are required ... Business/Commercial/NGOs 20 * for HRM specialization non-profit organizations can also be selected MBA (Open and Distance learning System) MBA- Banking & Finance MBA- IT The internship enables ... reports concerning the selected organization for internship For example, if a student intends to internship in a branch of a bank then before proceeding for internship, the/she should read the relevant...
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Essential Texts for MBA Students 2012 pptx
... Essential texts for MBA Students Welcome Welcome to the 2012 MBA catalogue from SAGE This catalogue has been created specifically with the MBA student in mind It includes key ... Frameworks for Organizational Diagnosis ‘How’ to Change? \ Change Frameworks for Organizational Diagnosis ‘What’ to Change? \ Building and Energizing the Need for Change \ Navigating Change through Formal ... global economy, and the implications of the global financial crisis The now standard work on economic globalization provides: • the most comprehensive and up-to-date explanation of economic globalization...
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