| OPIM 501 Operations and Supply Chain Management |
3 Credits |
|
This course deals with the design, production and
distribution of goods and services. Managerial issues and
decision problems include the design, planning, and control
of processes at strategic and operational levels. Concepts
and tools used in generating solutions to problems and their
implementation aspects are discussed. Operating systems
from different areas such as manufacturing, service, and
transportation are exemplified to expose students to the
similarities and differences in their characteristics. Topic
include operations strategy, process design and
improvement, quality management, capacity and supply
chain management.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2023-2024 |
Operations and Supply Chain Management |
3 |
| Fall 2022-2023 |
Operations and Supply Chain Management |
3 |
| Fall 2021-2022 |
Operations Management |
3 |
| Fall 2020-2021 |
Operations Management |
3 |
| Fall 2019-2020 |
Operations Management |
3 |
| Fall 2018-2019 |
Operations Management |
3 |
| Fall 2017-2018 |
Operations Management |
3 |
| Fall 2016-2017 |
Operations Management |
3 |
| Fall 2015-2016 |
Operations Management |
3 |
| Fall 2014-2015 |
Operations Management |
3 |
| Spring 2013-2014 |
Operations Management |
3 |
| Fall 2012-2013 |
Operations Management |
3 |
| Fall 2011-2012 |
Operations Management |
3 |
| Fall 2010-2011 |
Operations Management |
3 |
| Fall 2009-2010 |
Operations Management |
3 |
| Fall 2008-2009 |
Operations Management |
3 |
| Fall 2007-2008 |
Operations Management |
3 |
| Fall 2006-2007 |
Operations Management |
3 |
| Fall 2005-2006 |
Operations Management |
3 |
| Fall 2004-2005 |
Operations Management |
3 |
| Spring 2004-2005 |
Operations Management (GSM527) |
3 |
| Spring 2003-2004 |
Operations Management (GSM527) |
3 |
| Fall 2003-2004 |
Operations Management (GSM527) |
3 |
| Spring 2002-2003 |
Operations Management (GSM527) |
3 |
| Fall 2002-2003 |
Operations Management (GSM527) |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 502 Information Systems |
1.5 Credits |
|
Informational roles of a manager include receiving,
processing, and transmitting information for the purpose
of organizational decision-making. This course covers
topics such as basics of information technology,
the concept of information itself within the context of
organizational decision-making, information system design
and implementation, managerial implications of information
systems for competition and cooperation, e-business and
information-decision systems.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2012-2013 |
Information Systems |
1.5 |
| Spring 2011-2012 |
Information Systems |
1.5 |
| Spring 2010-2011 |
Information Systems |
1.5 |
| Spring 2009-2010 |
Information Systems |
1.5 |
| Spring 2008-2009 |
Information Systems |
1.5 |
| Spring 2007-2008 |
Information Systems |
1.5 |
| Spring 2006-2007 |
Information Systems |
1.5 |
| Spring 2005-2006 |
Information Systems |
1.5 |
| Spring 2004-2005 |
Information Systems |
1.5 |
| Summer 2003-2004 |
Information Systems (GSM525) |
3 |
| Summer 2002-2003 |
Information Systems (GSM525) |
3 |
| Summer 2001-2002 |
Information Systems (GSM525) |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 3 ECTS (3 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 506 CRM using Location Intelligence |
3 Credits |
|
This course combines customer relationship management
(CRM), a key notion in modern-day customer-centric marketing
activities, with the emerging field of location
intelligence, i.e. use of location data in business decision
making. The course is co-taught with a Division Manager in
banking industry who is also a CRM expert. After introducing
fundamental concepts in CRM as well as geographic
data and Geographic Information Systems (GIS), the
instructors cover several banking cases where location
information is used in CRM and marketing activities,
campaigns and promotions to increase the accuracy of
customer segmentation and targeted marketing.
A leading GIS software package is used throughout the course
for hands-on exercises and project work. The final
deliverable of the course is a project analysis team report.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2014-2015 |
CRM using Location Intelligence |
3 |
| Spring 2013-2014 |
CRM using Location Intelligence |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 508 Simulation-Based Analytics |
1.5 Credits |
|
This is a course on applied Monte Carlo simulation that
aims to introduce simulation as a tool for supporting
and improving decision-making. The aim is to familiarize the
students with the various practical uses of
simulation, emphasizing modeling aspects but also covering
some statistical issues that are of value to practitioners.
All modeling and analysis is done using the MS Excel
simulation add-in @RISK (part of Palisade Decision Tools).
A balanced set of problems/models from finance,
marketing and operations (such as financial risk modeling,
market share modeling and capacity planning) are addressed.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2015-2016 |
Simulation-Based Analytics |
1.5 |
| Summer 2013-2014 |
Simulation-Based Analytics |
1.5 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 3 ECTS (3 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 522 Revenue Management |
3 Credits |
|
Revenue management is concerned with two types of
demand decision: quality (how to allocate capacity
to different market segments, when to withhold a product
from sale etc.) and price (how to set prices, how to price
across product categories, over time etc.). This course
aims to introduce students to the tools and conceptual
frameworks of revenue management and its
applications in diverse industries such as tourism,
hospitality, manufacturing and fashion.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2018-2019 |
Revenue Management |
3 |
| Spring 2016-2017 |
Revenue Management |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 9 ECTS (9 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 523 Decision Models |
3 Credits |
|
The main goal of this course is to present the basic
principles and techniques of mathematical modeling
that will aid managerial decisions. With case analyses,
assignments, and classroom discussions, students
will learn the assumptions, limitations and the effective
use of the analytical methods such as optimization and
Monte Carlo simulation. The focus will be on model
formulation and interpretation of results, not on
mathematical theory. This course is designed for
Sabancı MBA students with an interest in formal decision
modeling. Therefore, the emphasis is on models that
are widely used in diverse industries regardless of the
functional areas.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2016-2017 |
Decision Models |
3 |
| Fall 2014-2015 |
Decision Models |
3 |
| Fall 2013-2014 |
Decision Models |
3 |
| Fall 2012-2013 |
Decision Models |
3 |
| Fall 2009-2010 |
Decision Models |
3 |
| Fall 2008-2009 |
Decision Models |
3 |
| Spring 2007-2008 |
Decision Models |
3 |
| Fall 2005-2006 |
Managerial Decision Making |
1.5 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 524 Business Process Analysis and Design |
3 Credits |
|
This course builds upon the concepts and tools required
for modeling business processes and introduced in OPIM 501.
After a review of these concepts and tools, students get
to use computer-based tools to design, re-design and edit
business process models. The course also covers event-based
simulation concepts and tools for analyzing real world like
business processes. This includes building simulation models
and statistical input and output data analysis that requires
good knowledge of statistical concepts.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2006-2007 |
Business Process Analysis and Design I |
1.5 |
| Spring 2005-2006 |
Business Process Analysis and Design I |
1.5 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 526 Business Intelligence and Decision Support Systems |
3 Credits |
|
The main objective of this course is for the student to
develop an understanding of the role of computer based
information systems in direct support of managerial decision
making (nowadays commonly referred as business
intelligence). Spesifically, at the end of this course each
student should develop : a) Knowledge about managerial
decision making, business intelligence, decision support
systems and how to they relate to other types of information
systems, b) Knowledge about DSS development methodolies
and enabling technologies (such as Expert Systems, Neural
Networks, Knowledge Management, Data Warehousing and
Data Mining) c) Knowledge about DSS enabling software
packages -a general understanding and some hands-on
capabilities.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2006-2007 |
Data Mining and Forecasting |
1.5 |
| Spring 2005-2006 |
Data Mining and Forecasting |
1.5 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 527 Project Management |
3 Credits |
|
The scope of the project management course
will cover areas of concepts of project management,
project life cycle/life cycle planning, work break down
structure, organization break down structure, cost
break down structure, graphical presentations and
precedence diagramming, network analysis and
scheduling techniques: Critical Path Method (CPM),
CPM.COST and Programme Evaluation and Review
Technique (PERT), concepts of system life cycle costing,
and cost estimation methods and trade-off analysis.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2015-2016 |
Project Management |
3 |
| Spring 2014-2015 |
Project Management |
3 |
| Fall 2013-2014 |
Project Management |
1.5 |
| Fall 2012-2013 |
Project Management |
1.5 |
| Fall 2011-2012 |
Project Management |
1.5 |
| Fall 2010-2011 |
Project Management |
1.5 |
| Fall 2009-2010 |
Project Management |
1.5 |
| Fall 2006-2007 |
Project Management |
1.5 |
| Spring 2005-2006 |
Project Management |
1.5 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 528 Modeling for Strategic Insights |
1.5 Credits |
|
This course presents the fundamentals of decision modelling
to generate strategic insights. In a world
where ambiguity is increasing, strategic insight is
critical for managers to take decisions more effectively.
To that end, modeling ideas will be discussed via real
life case examples. Students will develop themselves
while working on a diverse set of optimization
and Monte Carlo simulation models.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 3 ECTS (3 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 529 Advanced Excel for Managers |
1.5 Credits |
|
The objective of this course is to provide the skills
necessary to efficiently develop analytical spreadsheets in
MS Excel that meet professional standards. Upon successful
completion of the course, the student should be able to
develop Excel spreadsheets that meet critical elements of
style so that the worksheet is readable, change-tolerant and
correct; create charts that are appropriate for the purpose
and meet generally accepted quality standards; perform data
analysis to explain, summarize and interpret data;
audit a spreadsheet that may have
been developed by someone else.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2021-2022 |
Advanced Excel for Managers |
1.5 |
| Spring 2020-2021 |
Advanced Excel for Managers |
1.5 |
| Spring 2015-2016 |
Advanced Excel for Managers |
1.5 |
| Spring 2014-2015 |
Advanced Excel for Managers |
1.5 |
| Spring 2013-2014 |
Advanced Excel for Managers |
1.5 |
| Fall 2013-2014 |
Advanced Excel for Managers |
1.5 |
| Fall 2012-2013 |
Advanced Excel for Managers |
1.5 |
| Fall 2011-2012 |
Advanced Excel for Managers |
1.5 |
| Fall 2010-2011 |
Advanced Excel for Managers |
1.5 |
| Fall 2009-2010 |
Advanced Excel for Managers |
1.5 |
| Fall 2008-2009 |
Developing Spreadsheet Models 1 |
1.5 |
| Fall 2007-2008 |
Developing Spreadsheet Models 1 |
1.5 |
| Fall 2006-2007 |
Developing Spreadsheet Models |
1.5 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 3 ECTS (3 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 530 Programming in VBA for Excel |
1.5 Credits |
|
The objective of this course is to provide the fundamentals
necessary to develop VBA programs in EXcel and to teach
how to develop decision support tools in Excel that use
management science and statistical models for a wide
variety of business problems, mostly from operations
management and finance. The course assumes no prior
programming experience and emphasizes the importance
of following a professional style in writing code. Working
with ranges, and other Excel objects, developing user forms,
error handlings are covered in addition to basic building
blocks of VBA programming. To support model development,
importing data from databases, working with pivot tables,
and automating Solver are also covered in the course. Upon
completion of the course, students should be able to develop
modest but useful applications of their own.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2014-2015 |
Programming in VBA for Excel |
1.5 |
| Fall 2013-2014 |
Programming in VBA for Excel |
1.5 |
| Fall 2011-2012 |
Programming in VBA for Excel |
1.5 |
| Fall 2009-2010 |
Programming in VBA for Excel |
1.5 |
| Fall 2008-2009 |
Developing Spreadsheet Models 2 |
1.5 |
| Fall 2007-2008 |
Developing Spreadsheet Models 2 |
1.5 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 3 ECTS (3 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 532 Supply Chain Management |
3 Credits |
|
Supply chain includes all the parties involved
in the production of goods and/or services
including suppliers, distributors, and customers.
Supply chain management emphasizes the
importance of coordination between these different
partners in a supply chain. This course
introduces the concepts and methods for successful
supply chain management. Activies
such as demand forecasting, production and inventory
planning; purchasing and distribution planning
are covered. The importance of coordination is demonstrated
through case studies and simulations.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2021-2022 |
Supply Chain Management |
3 |
| Spring 2017-2018 |
Supply Chain Management |
3 |
| Fall 2016-2017 |
Supply Chain Management |
3 |
| Fall 2015-2016 |
Supply Chain Management |
3 |
| Spring 2014-2015 |
Supply Chain Management |
3 |
| Spring 2012-2013 |
Supply Chain Management |
3 |
| Fall 2011-2012 |
Supply Chain Management |
3 |
| Spring 2010-2011 |
Supply Chain Management |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 533 Strategic Marketing Intelligence |
3 Credits |
|
Marketing Intelligence (MI) can be defined as the
practice of gathering, and making sense of the gathered
data by analyzing them to accurate decision making
in determining relevant market opportunities relevant
to a company. This course focuses on how to analyze
marketing data to help make decisions about various
marketing intelligence problems following a problem
oriented approach. The course will start by covering
a variety of marketing intelligence performance metrics.
Then will look into a variety of marketing intelligence
projects such as Conjoint Analysis, Customer
Segmentation and Targeting, Customer Lifetime Value
Models, Product Diffusion Models from a case based
point of view. This course also aims at improving
students? analytical skills as well as
building their proficiency with spreadsheet software.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2012-2013 |
Strategic Marketing Intelligence |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 534 Managing ERP Systems |
1.5 Credits |
|
This course will cover basic concepts of Enterprise
Resource Planning (ERP) systems from a managerial
point of view. The objectives of this course are to
emphasize value of ERP systems and issues associated
with selecting and implementing ERP systems.
Other topics covered include evolution of ERP
systems, their planning, design and implementation;
and the relationships of ERP with supply chain,
production, sales, marketing, accounting, finance
and human resources. The course also includes
exposure to commercially available ERP softwares.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 3 ECTS (3 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 535 Fashion Industry Operations and Pricing |
3 Credits |
|
In the recent years, the fashion industry has been the
pioneer in adopting very advanced operations management and
pricing methods. This course aims to provide an overview of
the fashion retail industry, and serve as an introduction to
these applications. The topics covered include innovation
and new product development in fashion, supply chain
management applications in fashion retail, consumer
segmentation and pricing, logistics in fashion retail and
distribution strategies, brand positioning, extension and
growth, and customer relationship management.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 552 Mathematical Programming |
3 Credits |
|
This course exposes students to the theory and
techniques of deterministic mathematical programming.
Linear programming and its extensions, integer programming
and network flows are the main areas of focus.The
purpose is to provide a strong theoretical basis required
for creating mathematical models of real world problems of
interest and also developing effective methodologies
for their solution and implementation. To this end, the
course also reviews computational complexity issues
and discusses techniques for building efficient
computational methods in combinatorial optimization along
with associated theory such as duality, relaxation,
decomposition and column generation.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 555 Stochastic Processes |
3 Credits |
|
The purpose of this course is to expose students to
principles and applications of Stochastic Processes, by
building upon the concepts introduced in a previously-taken
basic probability course. In the first half of this course,
topics including Bernoulli and Poisson processes, discrete
and continuous-time Markov chains, renewal process and their
applications are covered. This is followed by other topics
such as queuing theory and its applications, stochastic
dynamic programming and random walks. Upon completion
of this course, the students have an appreciation of
analytical models as well as applications of Stochastic
Processes. (Knowledge of Calculus, Basic Probability
and Statistics is recommended)
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 556 Data Structures and Algorithms |
3 Credits |
|
This course emphasizes fundamental algorithms, advanced
methods of algorithmic design and analysis, and the use of
advanced data structures. Topics include understanding of
the inherent complexity of natural problems
via polynomial-time algorithms, randomized algorithms,
NP-completeness, on-line algorithms, graph and network flow
algorithms, linear programming, approximation
algorithms, tools for probabilistic analysis of algorithms.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 557 Practical Business Analytics for Managers |
3 Credits |
|
The main objective of this course is for the students to
develop a thorough understanding of the role
of computer-based information systems (i.e.,
business analytics, business intelligence, data science
and decision support systems) in direct support of
evidence-based managerial decision making.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2016-2017 |
Practical Business Analytics for Managers |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 591 Special Topics in Operations Management 1 |
1.5 Credits |
|
These courses focus on particular topics
and / or perspectives within their respective
domains. The aim is to provide an in-depth review
and assessment of the research and conceptual
literature within chosen topics and / or theoretical
perspectives. Students are expected to gain
a thorough appreciation of the past developments in
and the current state of research within
the central foci of the course and be able to develop
research agendas to motivate and
guide their future work.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Summer 2015-2016 |
Special Topics in Operations Management 1 |
1.5 |
| Summer 2014-2015 |
Special Topics in Operations Management 1 |
1.5 |
| Fall 2009-2010 |
Special Topics in Operations Management 1 |
1.5 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 3 ECTS (3 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 592 Special Topics in Operations Management |
1.5 Credits |
|
These courses focus on particular topics
and / or perspectives within their respective
domains. The aim is to provide an in-depth
review and assessment of the research and
conceptual literature within chosen topics and / or
theoretical perspectives. Students are expected
to gain a thorough appreciation of the past developments
in and the current state of research
within the central foci of the course and be able to
develop research agendas to motivate
and guide their future work.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 3 ECTS (3 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 595 Special Topics in Operations Management 3 |
3 Credits |
|
These courses focus on particular topics
and / or perspectives within their respective
domains. The aim is to provide an in-depth review
and assessment of the research and conceptual
literature within chosen topics and / or theoretical
perspectives. Students are expected to gain
a thorough appreciation of the past developments
in and the current state of research within
the central foci of the course and be able to develop
research agendas to motivate and guide
their future work.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 596 Special Topics in Operations Management 4 |
3 Credits |
|
These courses focus on particular topics
and / or perspectives within their respective
domains. The aim is to provide an in-depth
review and assessment of the research and
conceptual literature within chosen topics
and / or theoretical perspectives. Students are
expected to gain a thorough appreciation of
the past developments in and the current state
of research within the central foci of the course
and be able to develop research agendas to
motivate and guide their future work.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 611 Modeling in Operations Management |
3 Credits |
|
This course aims to introduce the students to the
conceptual frameworks and models of operations
management and the techniques to find the best
solutions to these models. Upon completion of this
course, the students are expected to analyze complex
supply chain systems, build mathematical models for
these systems, and find the best policies to operate
these systems. Several inventory settings and pricing
and game-theoretic models will be analyzed in a supply
chain setting, and their solution methods will
be discussed.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2023-2024 |
Modeling in Operations Management |
3 |
| Fall 2021-2022 |
Modeling in Operations Management |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 612 Research Methodology in Operations Management |
3 Credits |
|
The primary objective of this course is to investigate
how managerial issues are identified, defined,
conceptualized, modeled, and solved in order to make
sound decisions that will improve operational
efficiency and effectiveness of a firm. The tetrahedron
of managerial situation - conceptual model - formal
model - decision and its connecting processes
conceptualization - modeling - solving - implementation?
will be discussed through different examples, including
the areas of inventory management, performance
management, business networking, strategy formulation,
group decision making, consensus formation, and
project selection. Also to be discussed are equivalent
formulations and modeling for higher computational
efficiency in obtaining solutions and better
representativeness of managerial situation. While
presenting these examples the underlying
ontological and epistemological assumptions will also be
discussed in terms of their implications for the
advancement of knowledge in the area of
operations management.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2003-2004 |
Operations Modelling (GSM605) |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 613 Operations and Decision Analytics |
3 Credits |
|
This course focuses on decision problems of developing,
producing, and delivering goods and services. The purpose
is to provide
students an exposure to the spectrum of operations
management field, the nature of the related decision
problems, and applications of various predictive and
prescriptive analytical tools. The topics include, but not
limited to, process and product design, logistics and
transportation, location analysis, production/inventory
management, pricing and revenue management, service
operations, sustainability, and behavioral operations.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2023-2024 |
Operations and Decision Analytics |
3 |
| Fall 2021-2022 |
Operations and Decision Analytics |
3 |
| Fall 2020-2021 |
Operations and Decision Analytics |
3 |
| Fall 2018-2019 |
Operations and Decision Analytics |
3 |
| Fall 2011-2012 |
Operations and Decision Systems |
3 |
| Spring 2004-2005 |
Operations and Decision Systems |
3 |
| Spring 2002-2003 |
Operations and Decision Systems (GSM621) |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 614 Supply Chain Planning and Management Models |
3 Credits |
|
This course introduces the concepts and models
for effective management of supply chains.
Students are challenged to go beyond organizational
boundaries and consider interactions between
various players over the supply chain towards developing
coordinated strategies. Mathematical
models/tools/techniques for supply chain management
are introduced with emphasis on key tradeoffs
and objectives. Topics covered include supply
chain dynamics (bullwhip effect), supply chain
design (flexibility, postponement), supply chain
planning (location and distribution), and supply
chain coordination (contracts, information sharing
and incentives, demand forecasting).
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2003-2004 |
Operations and Technology (GSM622) |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 615 Stochastic Processes |
3 Credits |
|
The purpose of this course is to expose students to
principles and applications of Stochastic Processes, by
building upon the concepts introduced in a previously-taken
basic probability course. In the first half of this course,
topics including Bernoulli and Poisson processes, discrete
and continuous-time Markov chains, renewal process and
their applications are covered. This is followed by other
topics such as queuing theory and its applications,
stochastic dynamic programming and random walks. Upon
completion of this course, the students have an appreciation
of analytical models as well as applications of Stochastic
Processes.
(Knowledge of Calculus, Basic Probability and Statistics
is recommended)
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 616 Integer and Combinatorial Optimization |
3 Credits |
|
This course builds on the Mathematical Programming course
and contains modeling and solving techniques for complex
problems where the decision variables form a discrete set
and/or that cannot be solved in polynomial time.
Topics include model development, branch and bound methods,
cutting plane methods such as Gomory's cutting plane
procedure and branch-and-cut, relaxations such as Lagrangian
relaxation method, computational complexity and
NP-completeness.
(Knowledge of Mathematical Programming is recommended)
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 617 Discrete Event Simulation |
3 Credits |
|
The purpose of this course is to expose students to
principles and applications of discrete event simulation.
Concepts of simulation modeling and techniques of building
simulation models are introduced followed by organization
of simulation languages and modeling with Arena, a
comprehensive simulation package with animation
capabilities. Statistical aspects including input analysis,
random variate generation, output analysis, and variance
reduction techniques are the other topics covered.
(Knowledge of Probability and Statistics is recommended)
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2017-2018 |
Discrete Event Simulation |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 621 Operations Strategy |
3 Credits |
|
The purpose of this course is to demonstrate the
importance of operations strategy as a major influence
on the competitiveness of an organization. The focus is on
how organizations can develop an effective operations
strategy to compete in global markets. Components of
operations strategy, links between operations and corporate
strategies, trade-offs to be considered in developing
effective operations strategies are among the main topics
to be covered. Tools and concepts of analyzing the
distinctive competencies of the organization and the dynamic
of the associated value chain are also discussed. Students
are expected to develop an understanding of the significance
of designing and implementing effective operations
strategies over time and the importance of integrating
operations strategy with overall business strategy and other
functional strategies.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 622 Management of Technological Innovation |
3 Credits |
|
This course focuses on the economics and management of
technological innovation by examining how industries
and firms are transformed by new technologies,
how new industries are formed, and what factors affect
innovation performance at the firm level. The aim is to
develop an awareness of the range, scope, and complexity
of the issues and problems related to the management of
technological innovations. The course takes a systems
perspective to develop insights into the conditions under
which particular structural arrangements and systems are
likely to facilitate technological innovation. The analysis
includes a wide variety of factors associated with
successful strategic innovation such as institutions,
business and technology strategy, and industrial and
organisational structures. The topics include a typology
typology of innovations, patterns of product and process
change, innovation and industry evolution, the capability
to innovate, patterns of innovation, technology strategy,
creating knowledge, learning and dynamic capability, and
determinants of technical change.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 623 Empirical Methods in Operations Management |
3 Credits |
|
This course covers the basic principles of empirical theory
building and theory testing in operations management
context. There is an emphasis on the use of theories
offered by economics and other management disciplines such
as organization studies to describe, explain, and predict
operations related activities and outcomes. Empirical
research techniques such as case, survey, archival research
are discussed based on examples from the literature.
(Knowledge of Research Methods, Probability and Statistics
is recommended)
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2022-2023 |
Empirical Methods in Operations Management |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 624 Heuristic Optimization |
3 Credits |
|
Heuristic Optimization is a relatively new trend in
analyzing and solving difficult integer and combinatorial
optimization problems, where optimal solutions are costly
or impossible to obtain in reasonable time and therefore
near-optimal solutions are usually acceptable. This course
starts with introducing the basic heuristic optimization
concept and methodology in combinatorial optimization. This
is followed by the presentation and discussion of
widely-used heuristic optimization algorithms such as
as simulated annealing, neural networks, genetic algorithms,
tabu search, evolutionary algorithms and ant-colony
algorithms. Problem-specific applications of these
techniques are also covered. An important part of this
course is the implementation of one or more of these
algorithms in a programming language of each student's
choice.
(Knowledge of Basic programming skills in a computer
is recommended)
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 627 Special Topics in Computational Methods I |
3 Credits |
|
These courses focus on particular topics and / or
perspectives within their respective domains. The aim is
to provide an in-depth review and assessment of the research
and conceptual literature within chosen topics and / or
theoretical perspectives. Students are expected to gain a
thorough appreciation of the past developments in and
the current state of research within the central foci of the
course and be able to develop research agendas to motivate
and guide their future work.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2004-2005 |
Special Topics in Computational Methods |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 628 Special Topics in Computational Methods II |
3 Credits |
|
These courses focus on particular topics and / or
perspectives within their respective domains. The aim is to
provide an in-depth review and assessment of the research
and conceptual literature within chosen topics
and / or theoretical perspectives. Students are expected to
gain a thorough appreciation of the past developments in and
the current state of research within the
central foci of the course and be able to develop
research agendas to motivate and guide their future work.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2003-2004 |
Special Topics in Quantitative Methods (GSM608) |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 629 Special Topics in Quantitative Methods I |
3 Credits |
|
These courses focus on particular topics and / or
perspectives within their respective domains. The aim is to
provide an in-depth review and assessment of the research
and conceptual literature within chosen
topics and / or theoretical perspectives. Students
are expected to gain a thorough appreciation of the
past developments in and the current state of research
within the central foci of the course and be able to develop
research agendas to motivate and guide their future work.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2001-2002 |
Special Topics in Operations Management (GSM629) |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 630 Special Topics in Quantitative Methods II |
3 Credits |
|
These courses focus on particular topics and / or
perspectives within their respective domains. The aim is to
provide an in-depth review and assessment of the research
and conceptual literature within chosen topics and / or
theoretical perspectives. Students are expected to gain a
thorough appreciation of the past developments in and the
current state of research within the central foci of the
course and be able to develop research agendas to motivate
and guide their future work.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 631 Special Topics in Operations Management I |
3 Credits |
|
These courses focus on particular topics and / or
perspectives within their respective domains. The aim is to
provide an in-depth review and assessment of the research
and conceptual literature within chosen topics and / or
theoretical perspectives. Students are expected to gain a
thorough appreciation of the past developments in and the
current state of research within the central foci of the
course and be able to develop research agendas to motivate
and guide their future work.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2005-2006 |
Special Topics in Operations Management I |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 632 Special Topics in Operations Management II |
3 Credits |
|
These courses focus on particular topics and / or
perspectives within their respective domains. The aim is to
provide an in-depth review and assessment of the research
and conceptual literature within chosen topics and / or
theoretical perspectives. Students are expected to gain a
thorough appreciation of the past developments in and the
current state of research within the central foci of the
course and be able to develop research agendas to motivate
and guide their future work.
|
| Last Offered Terms |
Course Name |
SU Credit |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 12 ECTS (12 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 690 Independent Study |
3 Credits |
|
This course is designed for self directed study
of a topic not currently covered in regular
course offerings or for the formulation of a
research problem related to the student's
intended area of thesis research.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2020-2021 |
Independent Study |
3 |
| Fall 2020-2021 |
Independent Study |
3 |
| Spring 2018-2019 |
Independent Study |
3 |
| Fall 2018-2019 |
Independent Study |
3 |
| Fall 2016-2017 |
Independent Study |
3 |
| Fall 2011-2012 |
Independent Study |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 801 Operations and Supply Chain Management |
3 Credits |
|
This course deals with the design, production and
distribution of goods and services. Managerial issues
and decision problems include the design, planning, and
control of processes at strategic and operational levels.
Concepts and tools used in generating solutions to
problems and their implementation aspects are
discussed. Operating systems from different areas such
as manufacturing, service, and transportation are
exemplified to expose students to the similarities and
differences in their characteristics. Topics include
operations strategy, process design and improvement,
quality management, capacity and supply chain
management.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Operations and Supply Chain Management |
3 |
| Spring 2022-2023 |
Operations and Supply Chain Management |
3 |
| Fall 2021-2022 |
Operations Management |
3 |
| Fall 2020-2021 |
Operations Management |
3 |
| Fall 2019-2020 |
Operations Management |
3 |
| Fall 2018-2019 |
Operations Management |
3 |
| Fall 2017-2018 |
Operations Management |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 857 Practical Business Analytics for Managers |
3 Credits |
|
Practical Business Analytics for Managers The main
objective of this course is for the students to develop
a thorough understanding of the role of computer-based
information systems (i.e., business analytics, business
intelligence, data science and decision support
systems) in direct support of evidence-based
managerial decision making.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2023-2024 |
Practical Business Analytics for Managers |
3 |
| Spring 2022-2023 |
Practical Business Analytics for Managers |
3 |
| Spring 2021-2022 |
Practical Business Analytics for Managers |
3 |
| Spring 2020-2021 |
Practical Business Analytics for Managers |
3 |
| Spring 2019-2020 |
Practical Business Analytics for Managers |
3 |
| Spring 2018-2019 |
Practical Business Analytics for Managers |
3 |
| Spring 2017-2018 |
Practical Business Analytics for Managers |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 902 Operations and Supply Chain Management |
3 Credits |
|
This course deals with the design, production
and distribution of goods and services.
Managerial issues and decision problems
include the design, planning, and control of processes
at strategic and operational levels.
Concepts and tools used in generating
solutions to problems and their implementations
aspect are discussed. Operating systems from
different areas such as manufacturing, service and
transportation are exemplified to expose students to the
similarities and differences in their characteristics.
Students are also exposed to recent developments
in the global competitive environment and the
impacts of such developments on traditional
operations problems. Topics include operations strategy,
processdesign and improvement, quality management,
capacity, and supply chain management.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Fall 2023-2024 |
Operations and Supply Chain Management |
3 |
| Spring 2022-2023 |
Operations and Supply Chain Management |
3 |
| Fall 2021-2022 |
Operations Management |
3 |
| Fall 2020-2021 |
Operations Management |
3 |
| Fall 2019-2020 |
Operations Management |
3 |
| Fall 2018-2019 |
Operations Management |
3 |
| Fall 2017-2018 |
Operations Management |
3 |
| Fall 2016-2017 |
Operations Management |
3 |
| Spring 2015-2016 |
Operations Management |
3 |
| Fall 2015-2016 |
Operations Management |
3 |
| Summer 2013-2014 |
Operations Management |
3 |
| Spring 2013-2014 |
Operations Management |
3 |
| Spring 2012-2013 |
Operations Management |
3 |
| Spring 2011-2012 |
Operations Management |
3 |
| Spring 2010-2011 |
Operations Management |
3 |
| Spring 2009-2010 |
Operations Management |
3 |
| Spring 2008-2009 |
Operations Management |
3 |
| Spring 2007-2008 |
Operations Management |
3 |
| Spring 2006-2007 |
Operations Management |
3 |
| Spring 2005-2006 |
Operations Management |
3 |
| Spring 2004-2005 |
Operations Management |
3 |
| Spring 2004-2005 |
Operations Management (GSM527) |
3 |
| Spring 2003-2004 |
Operations Management (GSM527) |
3 |
| Fall 2003-2004 |
Operations Management (GSM527) |
3 |
| Spring 2002-2003 |
Operations Management (GSM527) |
3 |
| Fall 2002-2003 |
Operations Management (GSM527) |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 9 ECTS (9 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 903 Information Systems |
1.5 Credits |
|
Informational roles of a manager include receiving,
processing, and transmitting information for the
purpose of organizational decision-making. This course
covers topics such as basics of information technology,
the concept of information itself within the context of
organizational decision-making, information system design
and implementation, managerial implications of information
systems for both competition and cooperation, e-business
and information-decision systems.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2006-2007 |
Information Systems |
1.5 |
| Spring 2005-2006 |
Information Systems |
1.5 |
| Spring 2004-2005 |
Information Systems |
1.5 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 4 ECTS (4 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 904 Supply Chain Management |
1.5 Credits |
|
Supply chain includes all the parties involved in the
production of goods and/or services including suppliers,
distributors, and customers. Supply chain management
emphasizes the importance of coordination between these
different partners in a supply chain. This course
introduces the concepts and methods for successful supply
chain management. Activies such as demand forecasting,
production and inventory planning; purchasing and
distribution planning are covered. The importance of
coordination is demonstrated through case studies and
simulations.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Summer 2008-2009 |
Supply Chain Management |
1.5 |
| Spring 2006-2007 |
Supply Chain Management |
1.5 |
| Spring 2005-2006 |
Supply Chain Management |
1.5 |
| Spring 2004-2005 |
Supply Chain Management |
1.5 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 4 ECTS (4 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 905 Business Intelligence for Managers |
1.5 Credits |
|
Business intelligence (BI) is one of the most popular
topics among business leaders. The main
goal of BI is to promote accurate and timely decision
making by use of data, information and analytics.
This course is designed specifically for EMBA students
to develop a good understanding/appreciation
of computer-based information systems in direct support
of managerial decision making, which nowadays
commonly referred to as business intelligence. The
topics covered in this course include decision support
systems, data warehousing, business performance
management, and data/text/Web mining. In order to
provide a managerial approach to this course, instead
of covering algorithmic details, a systematic problem
solving approach is followed, where a number of business
problems are given to illustrate the efficacy of business
intelligence. [Note, the instructor of this course is
also a co-author of the recently published business
intelligence book titled ?Business Intelligence:
A Managerial Approach? (Prentice Hall, ©2011), which
will be used as the textbook for this course].
|
| Last Offered Terms |
Course Name |
SU Credit |
| Summer 2012-2013 |
Business Intelligence for Managers |
1.5 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 3 ECTS (3 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 951 Project Management |
1.5 Credits |
|
The scope of the project management course will
cover areas of concepts of project management,
project life cycle/life cycle planning, work break down
structure, organization break down structure, cost break
down structure, graphical presentations and precedence
diagramming, network analysis and scheduling techniques:
Critical Path Method (CPM), CPM.COST and Programme
Evaluation and Review Technique (PERT), concepts of system
life cycle costing, and cost estimation methods and
trade-off analysis.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Summer 2009-2010 |
Project Management |
1.5 |
| Summer 2004-2005 |
Project Management |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 4 ECTS (4 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 953 Operations Simulation |
3 Credits |
|
Operations simulation is an extremely valuable tool being
used more and more in industry and government to
assist in the design, creation, and evaluation of complex
systems. This simulation course focuses on effective
modeling and analysis of complicated processes through
the use of computer simulation techniques. The course
emphasizes modeling and covers examples from many
potential simulation applications in the real world,
including manufacturing systems analysis, service
systems analysis (such as hospitals, restaurants),
financial analysis, and quality improvement programs.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Summer 2006-2007 |
Operations Simulation |
3 |
| Summer 2005-2006 |
Operations Simulation |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 9 ECTS (9 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
| OPIM 957 Practical Business Analytics for Managers |
3 Credits |
|
The main objective of this course is for the students
to develop a thorough understanding of the role of
computer-based information systems (i.e., business
analytics, business intelligence, data science and
decision support systems) in direct support of
evidence-based managerial decision making.
|
| Last Offered Terms |
Course Name |
SU Credit |
| Spring 2020-2021 |
Practical Business Analytics for Managers |
3 |
|
| Prerequisite: __ |
| Corequisite: __ |
| ECTS Credit: 6 ECTS (6 ECTS for students admitted before 2013-14 Academic Year) |
| General Requirements: |
|
|
| |
