Multiple Criteria Decision Analysis Course at KAIST Graduate School of Management

MGT800 Multiple Criteria Decision Analysis

The problems of multi-criteria decision-making (MCDM) are broadly classified into two categories: MADM and MODM. The purpose of this course is to provide theories and methods for both MADM and MODM.

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Multiple Criteria Decision Making Course of MBA at Kyungpook University

Title:MGMT934 Multiple Criteria Decision Making (3) College: Kyungpook University Department: School of Business Administration Course: Graduate MBA Major Credits: Eligibility: International students holding a 4-year undergraduate degree and whose parents are both non-Korean nationals Degree: Graduate Tuition Fee for Graduate : US$2,600 ~ 3,400 Scholarships : As a national university, KNU tuition is about 40% of the cost of private universities in Seoul. Plus, 40% of KNU students are awarded partial scholarships for excellent scholastic performance or campus and community service, along with another 60 scholarships sponsored by external organizations.

Statistical Decision Analysis and Forecasting Course at KAIST Graduate School of Management

MGT502 Statistical Decision Analysis and Forecasting Various statistical analysis methods related to management decisions and decisions for government and public polices are introduced and studied with statistical experiments. Linear regression models, time series models, analysis of variance, multivariate analysis, principal component analysis, clustering and factor analysis are included.

Decision Analysis Course of MBA at University of British Columbia

Sauder School of Business > University of British Columbia BAMS 517 Decision Analysis Prerequisite MBA Core The module will address some basic ideas of decision analysis and how they can be extended into a more general Markov Decision Process (MDP) model. These methods will be applied to a wide range of disciplines including management science, economics, telecommunications, and computer science. The objectives of the course are to teach students to formulate and solve MDP models under several optimality criteria.

Multivariate Statistical Analysis Course at KAIST Graduate School of Management

MGT701 Multivariate Statistical Analysis This course covers the use of multivariate normal sampling theory, linear transformations of random variables, one- , two-, and multi-sample tests, profile analysis, partial and multiple correlation, multivariate ANOVA and least squares, discriminant analysis, principal components, factor analysis, Cluster analysis, data mining, and some special topics. Some statistical packages, SAS, SPSS, and MATLAB, are also included. MGT705 Special Topics in Management Engineering I MGT706 Special Topics in Management Engineering II MGT707 Special Topics in Management Engineering III

Decision Analysis Theory and Application Course at KAIST Graduate School of Management

MGT601 Decision Analysis Theory and Application This course is composed of two main parts: Individual and Group DSS, more details, concepts and classifications of DSS, decision making methodologies, electronic meeting system, model management system, man-machine interface using multimedia, Executive Information Systems, model building using spreadsheet, etc. This course emphasizes the teaching of basic methods and techniques selected on DSS and the improvement of students' competency via their term projects and homework. Students are expected to demonstrate their knowledge on DSS through classroom presentations.

Cost-Benefit Analysis of Projects and Programs Course of MBA at University of British Columbia

Sauder School of Business > University of British Columbia BAPA 503 Cost-Benefit Analysis of Projects and Programs Prerequisite MBA Core This course focuses on issues and techniques for conducting cost-benefit analysis of policies including investment projects. Although private sector discounted cash flow (DCF) analysis will be discussed, the primary emphasis is on public sector project evaluation and specifically, on the principles and application of social cost-benefit analysis (SCBA). It provides a working knowledge of the conceptual foundations and practical applications of SCBA, and an introduction to alternate methods for evaluating public sector investments and policies. It further discusses project management principles, multiple criteria decision-making

Admission Detail at KAIST Graduate School of Management

Applicants for admission to our master and doctoral programs in the Management Engineering department must have a strong academic background. Candidates must hold a bachelor’s degree to apply for the master’s program and must hold a master’s degree in the case of admission to the Ph.D. program. KAIST BS will consider grade point average, TOEFL, your major and if applicable, the competitiveness of your previously attended institution as basic criteria in our admission selection process. Also, a statement of purpose and the background of thesis and research studies are considered during the admission process. Applicants for admission to the doctoral

Marketing Research Course at KAIST Graduate School of Management

MGT521 Marketing Research This course covers main concepts and techniques useful for identification. collection, and analysis of information necessary for marketing decision making. Emphasis will be given to the research design for data collection and computer practice for processing and analysis of collected data. Topics include problem definition, experimental design, sampling, questionnaire design, and various multivariate data analysis techniques.

CJ-KAIST GMP Program at KAIST Graduate School of Management

CJ-KAIST GMP Program CJ-KAIST GMP is a very unique program - it is almost like a condensed MBA program tailored to the needs of CJ group. As one of the most prestigious business groups in Korea, CJ wanted to raise its future CEOs who will manage CJ companies to attain global competitive advantage, among its own highly motivated and bright middle-level managers. In 2005, CJ decided to teach those selected managers core knowledge and skills in management by working with the KGSM Faculty. Although it is not a degree program, CJ-KAIST GMP teaches the CJ middle-level managers core management courses, which are

Application of Decision Support Systems Course at KAIST Graduate School of Management

MGT742 Application of Decision Support Systems Decision support systems concepts, applications and methodologies for developing and evaluating them will be studied. Further issues addressed will include Executive Information Systems, Executive Support Systems, data warehousing, data mining, agent and intelligent systems.

Multivariate Analysis Course Dept of IM at National Sun Yat-Sen University

Full-time Graduate Courses Department of Information Management : College of Management at National Sun Yat-Sen University M4020006 Multivariate Analysis (3crs): To introduce various multivariate data analytic techniques applied in business and management. The covered materials include the following two categories: interdependence (e.g. principal components analysis, factor analysis, canonical correlation) and dependence techniques (e.g. multiple regression analysis, discriminate analysis, MANOVA).

Meso Organizational Behavior PhD Course of OB & HR Management at University of Toronto

Joseph L. Rotman School of Management at University of Toronto MGT 3065 Meso Organizational Behavior Organizational behaviour is widely defined as the study of individual, group and organizational-level behaviour, yet organizational researchers often focus on only one of these levels. The unit of analysis in micro OB is the individual; in macro OB it is the firm. Individual behaviour, however, is likely to be affected by the work group and organization, just as the work group and organization are influenced by the individual. This course introduces students to the study of meso OB, or the simultaneous study of multiple levels

Financial Accounting Course at KAIST Graduate School of Management

MGT560 Financial Accounting This course covers basic concepts of accounting and its role in the capital market. The topics include accounting process, meanings and interpretation of financial statements, understanding of financial statement items, basics of financial statement analysis, and investment and loan decision using accounting information.

Database Management Course at KAIST Graduate School of Management

MGT544 Database Management This course mainly deals with online transaction processing. The focus is on how a database engine manage concurrent multiple-user data accesses is exploited in terms of data consistency, transaction serializability, transaction atomicity and update durability. Commercial database engines are introduced. Distributed paradigms for transaction management such as global agreement protocols are also dealt with. Cases of distributed processing are introduced.

AIC Program at KAIST Graduate School of Management

Advanced Program for Innovative Consultants (AIC) Program overview KAIST Executive AIC Program provides essential knowledge and expertise to mid and high level executives aiming to move into top-level decision making positions. Equipping them with better problem solving skills, a more specific future road map and a broader human network, the program supports each participant in moving towards the goal of all executives: to become a CEO. With both refresher knowledge and ultra new theories, the program covers a broad range of topics: Strategy Formulation & Methodology, e-business, Financial Analysis & Valuation, Human Resources Management, Marketing, CSR, 6 Sigma, Negotiation & Alliance,

Decision Analysis Course of Dept of IM at National Sun Yat-Sen University

Undergraduate Courses of Department of Information Management : College of Management at National Sun Yat-Sen University B4024006 Decision Analysis (3 crs): Decision analysis presents methods for strategically making decisions in a systematic and quantitative manner. It aims at cultivating students of business majors with logical reasoning and analytical skills to structure and solve business decision problems. The objective of this course is thus to study the decision-analysis process and applicable quantitative techniques to assist decision makers in making better decisions. In particular, the course considers structuring objectives, developing alternatives, quantitative analysis under certainty with preferences, and quantitative analysis under uncertainty

Macroeconomic Analysis Course at KAIST Graduate School of Management

MGT577 Macroeconomic Analysis This course serves as a graduate course in the field of Macroeconomic Analysis. The course will cover advanced theoretical models and empirical analyses on macroeconomic aspects. The topics are (1) the Ramsey model and Overlapping-Generation models, (2) classical and endogenous economic growth theories and empirical analysis, (3) traditional and Real-Business-Cycle economic fluctuations, (4) microeconomic foundations of incomplete nominal adjustments, (5) advanced theories and empirical analysis of investment and consumption, (6) macroeconomic aspects of monetary and fiscal policy, and (7) open macroeconomic aspects of technology and innovation.

IMBA at KAIST Graduate School of Management

World Class MBA training corporate talents from major multinational firms KAIST MBA for Innovation IMBA A Global Front-runner in the field of Business Education! KGSM: IMBA at KGSM KAIST Graduate School of Management: Internationally Recognized MBA Program in Korea Established in 1995; first full-time MBA in Korea Has produced many of the nation's finest MBA graduates for over 10 years Creating New Global Standards - raining competent executives with both initiative and innovative ideas - Superior executive education program producing competitive CEOs in today’s dynamic global business environment

Marketing Data Analysis Course at KAIST Graduate School of Management

MGT720 Marketing Data Analysis For those who are familiar with Research Methods and Marketing Research courses, this course offers an in-depth opportunity to understand and apply data analysis techniques in Marketing. After briefly reviewing issues regarding causality, validity, reliability, experimental design, measurements, and sampling, quantitative and qualitative data analysis methods will be dealt with in depth with their theoretical background. The data analysis techniques to be dealt with include parametric and nonparametric statistical testing techniques, exploratory data analysis techniques, cross tabulation, multidimensional scaling, regression, analysis of variance, discriminant analysis, factor analysis, cluster analysis, conjoint analysis, canonical analysis, Logit, and LISREL.

Markov Decision Processes Course of MBA at University of British Columbia

Sauder School of Business > University of British Columbia BAMS 518 Markov Decision Processes Prerequisite BAMS 517 The module will address some basic ideas of infinite horizon Markov Decision Process (MDP) model. The objectives of the module are to teach students to formulate and solve infinite horizon MDP models under several optimality criteria.

Program Requirements of Executive LLM Program at KAIST Graduate School of Management

Program Requirements Students must earn a total of at least 20 credits in order to earn the Executive LLM degree. Students will participate in seven law courses, which will be taught in two-week increments. All courses are taught in English by Northwestern Law faculty members. Courses are held as traditional law school classes with lectures, discussions and case studies. Six courses will be held in Seoul and the final course will be held in Chicago during the month of March. Law courses include: (1) Introduction to US Law and Reasoning (2) Contracts (3) Commercial Law (4) Business Associations (5) Intellectual Property (6) International

Probability and Statistics Course at KAIST Graduate School of Management

MGT500 Probability and Statistics This course provides first-year graduate students with the necessary background of statistics. Topics include: Basic the concept of probability, distributions, sampling, estimation, hypothesis, regression analysis, and experimental design

Statistical Methods for Management Decisions Course at Chulalongkorn University

course of MBA from Sasin Graduate Institute of Business Administration at Chulalongkorn University DECS D34 - Statistical Methods for Management Decisions Topics included in this course are two population hypothesis testing, correlation, simple and multiple regression analysis, and qualitative variables. Extensive use of statistical analysis software is required. Applications of the material as well as several case studies will be covered.

Kaist Graduate School of Management (KGSM)

Profile The Korea Advanced Institute of Science and Technology (KAIST) was founded in 1971 as the Korea Advanced Institute of Science (KAIS). In 1989, KAIS was merged with the Korea Institute of Technology (KIT), an undergraduate school. KGSM was founded in 1996 and is aiming towards being a world-class technology based management school. Kaist is in the north-eastern part of Seoul, one of the major international centres in Asia accommodating most prominent companies’ headquarters

Management Information Systems Course at KAIST Graduate School of Management

MGT542 Management Information Systems The purpose of this course is to present the relationships among the key components of MIS. This course reviews fundamentals on hardware, software, I/O devices, file and data management, system analysis and design, project management, decision support systems, expert systems, and telecommunications. This course does not intend to merely review the basics of computers, but to emphasize more advanced topics like hardware selection, software development strategy, MIS organization and research methodology. All faculty members who are experts in each issue will teach the relevant topics.