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| ISOM 5510 |
Data Analysis |
[2-0-0:2] |
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[Previous Course Code(s): ISOM
551, ISMT 551] Covers
various discrete and continuous probability models and their
applications in business problems, estimation and testing of
hypotheses, simple and multiple linear regression analysis. This
is a core course for MBA. Exclusion(s):
IMBA 5100, ISOM 5520 |
| ISOM 5520 |
Statistics for Financial Analysis |
[2-0-0:2] |
|
[Previous Course Code(s): ISOM
552, ISMT 552] Application
of various statistical concepts to investment and financial
decisions including descriptive statistics, discrete and
continuous probability distributions, sampling and estimation,
hypothesis testing, correlation, and regression.
Exclusion(s):
ISOM 5510 |
| ISOM 5530 |
Multivariate Data Analysis |
[3-1-0:4] |
|
[Previous Course Code(s): ISOM
553, ISMT 553] Multivariate
normal distribution, comparison of mean vectors, principal
components, factor analysis, discriminant analysis, and
clustering. |
| ISOM 5540 |
Introduction to Probability |
[3-0-0:3] |
|
[Previous Course Code(s): ISOM
581, ISMT 581] Axioms
of probability, conditional probability and independence,
permutations and combinations, density and distribution
functions, examples of random variables, independence of random
variables, transformations of random variables, order
statistics, expected value, variance, higher moments;
Chebychev's inequality, convergence concepts, moment generating
functions, central limit theorem. Graded Pass or Fail.
Exclusion(s):
MATH 2421
Background:
Calculus and some knowledge of linear
algebra. |
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| ISOM 5550 |
Statistical Methods for Business
and Economics I |
[3-0-0:3] |
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[Previous Course Code(s): ISOM
582, ISMT 582] Properties
of a random sample, sufficient statistics. Point and interval
estimation, hypothesis testing, optimality of estimators and
tests, linear regression and analysis of variance.
Exclusion(s):
MATH 5431
Background:
Calculus and some knowledge of linear
algebra. |
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| ISOM 5560 |
Statistical Methods for Business
and Economics II |
[3-0-0:3] |
|
[Previous Course Code(s): ISOM
583, ISMT 583] Topics
include multicollinearity, dummy variables, stepwise and
all-possible regression, and logistic regression, with emphasis
on analyzing and modeling business data using statistical
softwares. Introduction to multivariate regression.
Exclusion(s):
ISOM 5520, MATH 3424
Prerequisite(s):
ISOM 5550 |
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| ISOM 5570 |
Large-Sample Statistics |
[3-0-0:3] |
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[Previous Course Code(s): ISOM
584, ISMT 584] Modes
of convergence, Lindeberg's central limit theorem, Slutsky's
theorems, convergence under transformations and the delta
method, projection method. The methods are illustrated with
examples in U-statistics, rank statistics, sample survey, time
series, kernel density estimation, maximum likelihood estimators
and posterior distributions. Asymptotic efficiency. Other topics
include large-sample methods based on empirical distribution
functions, and the delta method for a differentiable functional.
Prerequisite(s):
ISOM 5540 and ISOM 5550 |
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| ISOM 5700 |
Operations Management |
[2-0-0:2] |
|
[Previous Course Code(s): ISOM
561, ISMT 561] Introduction
to management of business processes that produce goods or
services: topics include operations strategy, process analysis,
queuing systems, inventory management, quality management,
process improvement and other important issues.
Exclusion(s):
IELM 5170, IMBA 5110, MTMC 507 (prior
to 2010-11) |
| ISOM 5720 |
ERP and Enterprise Systems Management |
[2-0-0:2] |
|
[Previous Course Code(s): ISOM
564, ISMT 564] Concepts
and practices of enterprise resource management; enterprise
resource planning systems and applications, integrated systems
approach to managing major business processes, business
information reports and analyses.
Exclusion(s): ISOM 4740, ISMT
669J (prior to 2005-06) |
| ISOM 5730 |
Global Supply Chain
Management |
[2-0-0:2] |
[Previous Course Code(s): ISOM
567, ISMT 567, ISMT 669G] Supply
chain uncertainty and market fluctuation, information distortion
and visibility, supply chain coordination and integration,
supply chain incentives, flexibility, and design for supply
chain management, supply chain strategies.
Exclusion(s):
EEMT 5300
Prerequisite(s):
ISOM 5700
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| ISOM 5800 |
Business Modeling |
[1-0-0:1] |
|
[Previous Course Code(s): ISOM
580, ISOM 669B, MGMT 650F] This
course is open to all MBA students who need to utilize
spreadsheets to create and analyze business models for decision
making and/or managerial insights. Practical exercises and case
studies are used to illustrate the concepts and practices of
business modeling and to build competency in using spreadsheets
for advanced applications. Graded P or F. |
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| ISOM 5810 |
Business Optimization |
[2-0-0:2] |
|
[Previous Course Code(s): ISOM
571, ISMT 571, ISMT 669I] The
science and technology of informed decision making with focus on
optimizing business processes. Spreadsheet decision modeling in
Excel used throughout. Emphasis on problem formulation,
spreadsheet-based solution methods, and managerial insights.
Applications to managerial decision problems in diverse
industries and functional areas including finance and
accounting, human resource, marketing, and operations. |
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| ISOM 6310 |
MBA Research Project |
[3 credits] |
|
[Previous Course Code(s):
ISOM 698, ISMT 698] An
independent research project on a business topic carried out
under the supervision of a faculty member. |
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| ISOM 6350 |
MSc Research Project |
[2-4 credits] |
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[Previous Course Code(s):
ISOM 696, ISMT 696] An
independent research project on an IS Management related topic
carried out under the supervision of a faculty member. |
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| ISOM 6590 |
Special Topics in Statistics |
[1-4 credit(s)] |
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[Previous Course Code(s):
ISOM 659, ISMT 659] Advanced
topics of current interest in statistics. |
| ISOM 6690 |
Independent Study in Statistics |
[1-4 credit(s)] |
|
[Previous Course Code(s):
ISOM 697] Study
of selected topics in Statistics under the supervision of a
faculty member. This course may be repeated for credit. (Special
permission from the Associate Dean is required for MBA students
to take this course.) |
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| ISOM 6790 |
Special Topics in Operations Management |
[1-4 credit(s)] |
|
[Previous Course Code(s):
ISOM 669, ISMT 669] Advanced
topics in operations and technology management. Topics vary with
recent developments and current interest. |
| ISOM 6890 |
Independent Study in Operations
Management |
[1-4 credit(s)] |
|
[Previous Course Code(s): ISOM
694] Study of
selected topics in Operations Management under the supervision
of a faculty member. This course may be repeated for credit.
(Special permission from the Associate Dean is required for MBA
students to take this course.) |
| ISOM 6990 |
MPhil Thesis Research |
|
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[Previous Course Code(s): ISOM
699, ISMT 699] Master's
thesis research supervised by a faculty member. A successful
defense of the thesis leads to the grade Pass. No course credit
is assigned. |
| ISOM 7000 |
IS Doctoral Seminar |
[1-4 credit(s)] |
|
[Previous Course Code(s): ISOM
750, ISMT 750] Presentation
and discussions of current research topics in Information
Systems for doctoral students. |
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| ISOM 7990 |
Doctoral Thesis Research |
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[Previous Course Code(s): ISOM
799, ISMT 799] Original
and independent doctoral thesis research. A successful defense
of the thesis leads to the grade Pass. No course credit is
assigned. |
Updated on
25 August 2011 |