Austin Buchanan

Independent research for PhD dissertation requirement under direction of a member of the Graduate Faculty.Offered for variable credit, 1-15 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of major adviser and advisory committee.

Research and thesis for master's students.Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours.Prerequisite(s): Approval of major adviser.

Independent research for PhD dissertation requirement under direction of a member of the Graduate Faculty.Offered for variable credit, 1-15 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of major adviser and advisory committee.

Development and use of time value of money models. Bases for comparison of alternatives, including present worth, annual worth, rate of return and payout period methods. Decision-making among independent, dependent, capital-constrained and unequal-life projects. Replacement, breakeven and minimum cost analyses. Depreciation and depletion methods and their effect on corporate income taxes, leading to after-tax cash flow analysis. Introduction to financial reports.Prerequisite(s): MATH 2153 with grade of 'C' or better or MATH 2133 with grade of 'C' or better.

Research and thesis for master's students.Offered for variable credit, 1-6 credit hours, maximum of 6 credit hours.Prerequisite(s): Approval of major adviser.

Introduction to operations research, analytics, and mathematical optimization with an emphasis on topics in linear, integer, and network optimization. Effective model formulation and software solution of strategic, tactical and operational problems encountered in manufacturing, and service industries. Covers the simplex method, duality theory, sensitivity analysis, branch-and bound, network simplex, and Dijkstra's algorithm. Previously offered as IEM 4014.Prerequisite(s): MATH 3013 with grade of 'C' or better.

Independent research for PhD dissertation requirement under direction of a member of the Graduate Faculty.Offered for variable credit, 1-15 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of major adviser and advisory committee.

Development and use of time value of money models. Bases for comparison of alternatives, including present worth, annual worth, rate of return and payout period methods. Decision-making among independent, dependent, capital-constrained and unequal-life projects. Replacement, breakeven and minimum cost analyses. Depreciation and depletion methods and their effect on corporate income taxes, leading to after-tax cash flow analysis. Introduction to financial reports.Prerequisite(s): MATH 2153 with grade of 'C' or better or MATH 2133 with grade of 'C' or better.

Design principles and analytical procedures for determining facility location and location of physical assets within a facility. Introduction to material-handling concepts, technologies and methods. Considerations include production processes, product volume, material flow and information flows. Prerequisite(s): IEM 3703 with grade of 'C' or better and IEM 4013 with grade of 'C' or better.

Independent research for PhD dissertation requirement under direction of a member of the Graduate Faculty.Offered for variable credit, 1-15 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of major adviser and advisory committee.

Independent research for PhD dissertation requirement under direction of a member of the Graduate Faculty.Offered for variable credit, 1-15 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of major adviser and advisory committee.

Introduction to operations research, analytics, and mathematical optimization with an emphasis on topics in linear, integer, and network optimization. Effective model formulation and software solution of strategic, tactical and operational problems encountered in manufacturing, and service industries. Covers the simplex method, duality theory, sensitivity analysis, branch-and bound, network simplex, and Dijkstra's algorithm. Previously offered as IEM 4014.Prerequisite(s): MATH 3013 with grade of 'C' or better.

Independent research for PhD dissertation requirement under direction of a member of the Graduate Faculty.Offered for variable credit, 1-15 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of major adviser and advisory committee.

Design principles and analytical procedures for determining facility location and location of physical assets within a facility. Introduction to material-handling concepts, technologies and methods. Considerations include production processes, product volume, material flow and information flows. Prerequisite(s): IEM 3703 with grade of 'C' or better and IEM 4013 with grade of 'C' or better.

Theory, algorithms, and applications of discrete optimization. Binary, pure, and mixed-integer linear optimization formulations, relaxations; preprocessing, branch and bound, formulation strength, polynomial equivalence of separation and optimization; theory of polyhedra, convex hulls and facets, valid inequalities for pure and mixed-integer problems, lifting, perfect formulations, extended formulations. Previously offered as IEM 6023.Prerequisite(s): Concurrent prerequisites. IEM 5063, IEM 6033, or consent of instructor.

Theory, algorithms, and applications of discrete optimization. Binary, pure, and mixed-integer linear optimization formulations, relaxations; preprocessing, branch and bound, formulation strength, polynomial equivalence of separation and optimization; theory of polyhedra, convex hulls and facets, valid inequalities for pure and mixed-integer problems, lifting, perfect formulations, extended formulations. Previously offered as IEM 6023.Prerequisite(s): Concurrent prerequisites. IEM 5063, IEM 6033, or consent of instructor.

Independent research for PhD dissertation requirement under direction of a member of the Graduate Faculty.Offered for variable credit, 1-15 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of major adviser and advisory committee.

Independent research for PhD dissertation requirement under direction of a member of the Graduate Faculty.Offered for variable credit, 1-15 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of major adviser and advisory committee.

Independent research for PhD dissertation requirement under direction of a member of the Graduate Faculty.Offered for variable credit, 1-15 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of major adviser and advisory committee.

Design principles and analytical procedures for determining facility location and location of physical assets within a facility. Introduction to material-handling concepts, technologies and methods. Considerations include production processes, product volume, material flow and information flows. Prerequisite(s): IEM 3703 with grade of 'C' or better and IEM 4013 with grade of 'C' or better.

Introduction to operations research, analytics, and mathematical optimization with an emphasis on topics in linear, integer, and network optimization. Effective model formulation and software solution of strategic, tactical and operational problems encountered in manufacturing, and service industries. Covers the simplex method, duality theory, sensitivity analysis, branch-and bound, network simplex, and Dijkstra's algorithm. Previously offered as IEM 4014.Prerequisite(s): MATH 3013 with grade of 'C' or better.

Independent research for PhD dissertation requirement under direction of a member of the Graduate Faculty.Offered for variable credit, 1-15 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of major adviser and advisory committee.

Professionally supervised experience in real-life problem solving involving projects for which the student assumes a degree of professional responsibility. Activities approved in advance by the instructor and must reflect graduate level analysis. May consist of full or part-time engineering experience, on-campus or in industry, or both, either individually or as a responsible group member. Periodic reports, both oral and written, required as specified by the adviser.Offered for variable credit, 1-3 credit hours, maximum of 3 credit hours.Prerequisite(s): Consent of School Head, approval of IEM advisor, and satisfactory completion of 12 hours of IEM 5000- or IEM 6000-level courses.

Independent research for PhD dissertation requirement under direction of a member of the Graduate Faculty.Offered for variable credit, 1-15 credit hours, maximum of 30 credit hours.Prerequisite(s): Approval of major adviser and advisory committee.

Introduction to operations research, analytics, and mathematical optimization with an emphasis on topics in linear, integer, and network optimization. Effective model formulation and software solution of strategic, tactical and operational problems encountered in manufacturing, and service industries. Covers the simplex method, duality theory, sensitivity analysis, branch-and bound, network simplex, and Dijkstra's algorithm. Previously offered as IEM 4014.Prerequisite(s): MATH 3013 with grade of 'C' or better.