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Operations Research and Deterministic Apps is a Course

Operations Research and Deterministic Apps


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Operations Research and Deterministic Applications:

Operations Research and Deterministic Applications is Industrial systems applications with deterministic operations research techniques. Resource allocation, product mix, production, transportation, task assignment, networks.

Course Objectives:

This deficiency exam will cover the following course objectives:

  1. Identify situations where deterministic operations research models can improve the decision-making process.
  2. Identify and understand the importance of linear programming models and solution algorithms.
  3. Recognize, formulate, and solve linear programs using the Simplex Method.
  4. Formulate and implement optimization problems using commercial software (e.g., AMPL).
  5. Apply sensitivity analysis for “what if” management scenarios.
  6. Recognize, formulate, and solve network optimization problems such as shortest path, minimum spanning tree, and maximum flow.
  7. Recognize, formulate, and solve integer programming problems using branch-and-bound.


The course syllabus is available here.

Who this deficiency exam designed for:

Students who are either admitted with deficiencies to graduate programs in Computer Science in the School of Computing, Informatics, and Decision Systems Engineering (CIDSE) at Arizona State University or students who are interested in becoming eligible to apply to one of those programs. Students may also complete this deficiency exam if they have general interest in the topic area.

What you'll receive:

You will receive a certificate of completion with your grade that you can attach in your graduate application for any graduate program within CIDSE.Students may also complete this deficiency exam if they have general interest in the topic area.Please email your certificate to If you’re a prospective student, you can upload it to your application.

Meet the instructor

Jorge Sefair, Assistant Professor, CIDSE

Jorge Sefair, an assistant professor, earned his doctorate from University of Florida in 2015. Sefair was awarded a University of Florida Department of Industrial and Systems Engineering graduate student research award in 2015. In 2013 and 2015, he received National Science Foundation (NSF) Travel Grant Awards for IIE Annual Conference. His research interests include network optimization, robust optimization, integer programming, applications of optimization in environment, public policy, urban planning and finance. His current research focuses on the use of optimization techniques for the design of resilient systems that maintain a critical level of operation even under adverse uncertain circumstances. In particular, he is motivated by applications of operations research in environment, public policy and urban planning. His research has been interdisciplinary, having published academic works with colleagues from a variety of disciplines, including civil engineering, public health, ecology, biology and economics.