20 courses with the subject MSOM, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MSOM 3101Operations Management3
An examination of the activities necessary for the provision of the organization's product or service. Planning and scheduling of operations, allocation of resources, including staffing requirements and equipment decisions, inventory control and production planning, waiting line problems, and quality.
Subject
MSOM
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.Pre-requisites: Minimum grade of C- in (STAT 2103, STAT 2903, STAT 2104, STAT 2102, STAT 2902, STAT 2512 (may be taken concurrently), AS 1501, MA
An examination of the activities necessary for the provision of the organization's product or service. Planning and scheduling of operations, allocation of resources, including staffing requirements and equipment decisions, inventory control and production planning, waiting line problems, and quality. Open only to business designated Honors students (or with special permission). May be used to fulfill the operations management requirement of the Fox School of Business and Management. NOTE: The Honors version of MSOM 3101 (0105).
The "operations" function is the core of any organization, where inputs such as labor and technology are converted into goods and services. The course provides a survey of several diverse operations topics that are central to both the manufacturing and service sectors of the economy, such as forecasting, inventory control, quality management, production planning, and supply chain management. The emphasis of the course is to apply quantitative models to effectively design and control these operational systems. Software is extensively used to support the operations analysis.
Subject
MSOM
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
MSOM 5107Lean, Six Sigma, and the Science of Improvement3
This course provides an outstanding opportunity to learn the basic concepts of improvement science and offers exposure to key tools used in the science and art of improvement. The tools of quality and improvement science are explored, and the student has an opportunity to practice with the tools. Please note: MSOM 5107 and EMGT 5636 are equivalent courses. Students may not receive duplicate credit for these courses. Students should contact their advisor with any questions.
Subject
MSOM
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
This course follows a life-cycle approach to managing projects, beginning with project initiation concerns and ending with project termination. Project planning and scheduling are given the most emphasis, making use of the PERT and CPM approaches. A course project is required.
Subject
MSOM
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
This course covers optimization models, methods, and software applied to solve business problems focusing on models and methods used in computational finance, ranging from asset allocation to risk management, from option pricing to model calibration. Students gain an understanding of linear, quadratic, integer, dynamic, and stochastic programming methods and the tools for implementing these models in practice.
Subject
MSOM
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
Special study in a particular aspect of operations research, under direct supervision of a graduate faculty member. No more than six semester hours of independent study may be counted toward degree requirements.
Subject
MSOM
Credits (min)
1
Credits (max)
6
Credit unit
Credit Hour
Type
course
Repeatable
Repeatability: This course may be repeated for additional credit.
This course entails the study of decision-making techniques applicable to operations in both service and manufacturing enterprises. These techniques are examined as they apply to both traditional organizations and those in the dynamic world of new technology and e-business. The techniques are applied in areas such as supply chains, quality management, capacity planning, and resource allocation. Software is used to help students apply these techniques in course projects related to the workplace.
Subject
MSOM
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.Pre-requisites: Minimum grade of B- in (STAT 5801 or STAT 5001)
MSOM 9101Continuous and Nonlinear Optimization Methods3
This course will aim to introduce the basic principles of Continuous Non-Linear Optimization and Optimal Control Theory. Some related Non-Linear Optimization and Optimal Control Theory papers (either existing paper or new idea) will be presented by students after lectures.
Subject
MSOM
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
We will introduce linear programming and integer programming methods in this course. This course will cover how to model large-size problems using linear programming and integer programming and solve them using solvers such as CPLEX. In this course, we will also discuss various research papers with applications of linear programming and integer programming models. This class will also cover the theory and applications of combinatorial optimization. We will introduce graphical and network modeling of problems in transportation and distribution, facility location, communication, scheduling, and staff assignment. Topics include minimum cost spanning trees, the greedy algorithm and matroid theory, network flows, maximal matching, vehicle routing algorithms, computational complexity, total dual integrality, and polyhedral combinatorics.
Subject
MSOM
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
This class will cover the theory and applications of combinatorial optimization. We introduce graphical and network modeling of problems in transportation and distribution, facility location, communication, scheduling, and staff assignment.
Subject
MSOM
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
This class will introduce students to the modeling of stochastic, or random, phenomena and the application of these models to problems in operations and supply chain management. Topics include Poisson processes, binomial and exponential distributions, Markov chains and their applications (in particular to queueing theory), as well as Markov renewal theory and continuous-time Markov processes.
Subject
MSOM
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
MSOM 9105Fundamentals of Supply Chain and Operations Management Theory3
This is a course on quantitative models and the analysis and optimization of operations and supply chains. Mathematical models designed to support operational designs in production, inventory, service and supply chain will constitute the core of this course. Topics covered include: (1) deterministic inventory model, (2) stochastic inventory model, (3) supply chain coordination and contracting, (4) model of strategic customers, (5) queueing economics, (6) platform and two sided markets, (7) behavioral decision making, and (8) model of social interaction. The course will also pay particular attention to emerging new methodologies and emerging applications in supply chain, e-commerce, innovative marketplaces and platforms, and sharing economy. This course aims to introduce students to the analytical methods required to conduct analytical research in the above area comprehensively and precisely. It provides essential tools and skills for both future technically oriented business analysis, as well as research in supply chain management.
Subject
MSOM
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
MSOM 9106Dynamic Programming: Theory and Its Applications3
In this course, students will learn how to formulate a sequential decision making problem as a dynamic program. They will learn the classical methods to solve finite-horizon and infinite-horizon dynamic optimization problems. For many dynamic optimization problems whose optimal solutions cannot be easily obtained or practically implemented, we will introduce some useful heuristic approaches, such as value function approximation and model predictive control. For cases when decision makers have incomplete knowledge of the system, students will learn some powerful joint learning and optimizing heuristics, such as upper confidence bound algorithm. We will cover several applications of dynamic programming throughout this course, such as revenue management and pricing, and inventory control. This course aims at preparing students to do research in dynamic programming and its related areas, such as reinforcement learning.
Subject
MSOM
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
