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Professor Anvari Taught manufacturing and industrial systems engineering courses at the University of Michigan where he received his three engineering degrees. He joined General Motor as a production engineer and later as an operations research and systems analyst at the cost and economic analysis center, a think tank in Washington DC.
Mort, currently as the acquisition costing director, is responsible for independent cost, risk, economic, and environmental analyses of major defense acquisition programs.
Mort has published numerous articles on cost, risk, and systems analysis. He is the winner of the 2006 DoD modeling and simulation award.
Professor Anvari has continued his passion for teaching as an adjunct professor for the last 15 years at local universities in Washington DC where he teaches networking, project management, operating systems, systems analysis, and cost management. |
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This course provides an explanation to the determination, development, and uses of internal accounting information needed by business management to satisfy customers in conjunction with continuous cost control. This course examines basic principles of cost management and other related issues such as manager performance evaluation, management activity and process, and applications of activity-based costing and just in time manufacturing.
Topics include contemporary cost accounting; activity based management; strategic cost management; capital investment decision; pricing and revenue analysis; and balanced scorecard. The aim of this course is to prepare students with comprehensive understanding on the benefits of cost management in managing corporate organizations.
This course provides a basic structure for understanding project management building on the skills needed to manage projects of all sizes. Topics include the project life cycle, project team, project identification, evaluation and selection, project organization, project planning, negotiation and conflict resolution, and human resource management
This course will utilize class discussions, group learning, case analysis, project using Microsoft Project tool, student presentations, written assignments, and examinations. Instructor will function as facilitator of discussion and group learning.
Objectives: Develop the skill and perspective necessary to artfully use quantitative techniques for the resolution of practical business problems. To know when and how to do managerially relevant analysis under conditions of uncertainty, many decision variables, unstructured contexts, and active competition, in a way that integrates personal judgment, available data, and formal analytical techniques. Emphasis is not on the mastery of sophisticated mathematical techniques, but rather on exploring the most widely applicable methodologies.
Content: The course consist of four modules: (i) model building and risk simulation, (ii) multi-criteria decision making, (iii) model building and optimization, and (iv) games and competition.
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Past Courses |
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e-Mail: info@anvari.net |
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