Quantitative models for decision-making with focus on tactical and operational decisions in manufacturing environments. Aggregate planning, inventory control, forecasting, project management, production scheduling, manpower and capacity planning, location and layout planning, manufacturing resource planning (MRP) and just-in-time (JIT) systems.

Modeling and analysis of large-scale and complex systems; mathematical model building; the solution of these models with computational tools and post-optimality analysis for decision-making problems arising in a wide range of real-life applications; building effective linear, nonlinear, integer, network and stochastic programming models; using optimization software for the solution of these models and interpretation of the computer output; applications in transportation and logistics planning, data mining, scheduling in large systems, supply-chain management, financial engineering, and telecommunications systems planning.

Distinctions of service operations. Measuring and benchmarking productivity: Data Envelopment Analysis (theory and applications). Service Quality. Capacity management and design in services. Capacity-constrained services and demand management (revenue management and optimization). Workflow analysis,productivity and quality management,response time (queuing) analysis. Customer relationship and loyalty issues (data-mining). Applications of analysis tools to several sectors such as health care, call centers, financial services, hotels and airlines.

Overview of industrial engineering and operations research applications in healthcare. Capacity planning and management in hospitals. Evaluating effects of interventions on the spread of infectious diseases. Analyzing the effects of resource allocation policies. Analysis of screening policies and their effects. Developing medical decision modeling to build decision support systems.

Formulation of integer and combinatorial optimization problems Introduction to logistics systems; logistics network design, location models; warehouse design, tactical decisions, operational decisions; transportation management; planning and managing freight transportation; fleet management, vehicle routing problem.

A capstone design course where students apply engineering and science knowledge in an industrial engineering design project proposed by companies from different sectors. Development, design, implementation and management of a project in teams under realistic constraints and conditions. Emphasis on communication, teamwork and presentation skills.

Convexity basics; optimality conditions for unconstrained problems; Gradient methods; quasi-Newton methods, conjugate gradient methods; constrained problems and KKT conditions; feasible direction methods; Lagrangian duality; Lagrangian relaxation in integer programming; selected topics in global optimization.

Brief review of basic processes like Poisson, Markov and renewal processes; Markov renewal processes and theory, regenerative and semi-regenerative processes; random walk, Wiener process and Brownian motion; martingales; stochastic differential equations and integrals; applications in queueing, inventory, reliability and financial systems.

Topics will be announced when offered.

Overview of industrial engineering and operations research applications in healthcare. Capacity planning and management in hospitals. Evaluating effects of interventions on the spread of infectious diseases. Analyzing the effects of resource allocation policies. Analysis of screening policies and their effects. Developing medical decision modeling to build decision support systems.

Dynamic inventory policies for single-stage inventory systems: concepts of optimality and optimal policies. Multi-Echelon Systems: uncapacitated models and optimal policies, capacitated models: different control mechanisms. Multiple locations and multiple items: inventory and capacity allocation. Decentralized control and the effects of competition on the supply chain: coordination and contracting issues.

Formulation of integer and combinatorial optimization problems Introduction to logistics systems; logistics network design, location models; warehouse design, tactical decisions, operational decisions; transportation management; planning and managing freight transportation; fleet management, vehicle routing problem.

A series of lectures given by faculty or outside speakers. Participating students must also make presentations during the semester.

The basic tools and concepts of politics, political systems, and political science; an overview of the basic terminology and theories of political science so as to enable students to understand the functioning of different political systems; a systematic understanding of political institutions and dynamics as a basis for an adequate analysis of global problems, from economic development to security to the environment.

The basic tools and concepts of politics, political systems, and political science; an overview of the basic terminology and theories of political science so as to enable students to understand the functioning of different political systems; a systematic understanding of political institutions and dynamics as a basis for an adequate analysis of global problems, from economic development to security to the environment.

Introduction to research methodology in behavioral and social sciences, emphasizing the logic of scientific inquiry, critical thinking and the essential roles of observation and experiment; review of research methods in International Relations, including survey research and statistical methods.

Evolution of the modern international system, with particular emphasis on developments since World War II, basic theories and applications of salient issues in international politics such as international conflict and cooperation, alignments, nationalism, and forces of change.

Basic concepts in political science such as political culture, political participation, political parties, political institutions, and the application of these concepts in the study of major contemporary states.

Constitution as the Supreme Law of the Land and as an operating mechanism; organization and functioning of the legislative, executive and judicial branches; interrelation between them; the citizen, civil liberties and the Government.

Introduction to policy analysis; theories of policy making processes; framing and analysis of policy problems; developing policy recommendations for policy makers.

An historical analysis of great political ideas as put forth by ancient and modern philosophers and political theorists such as Plato, Aristotle, Machiavelli, Rousseau and Marx. Intellectual debates on the foundational questions of politics (forms of government, the relationship of the individual to the state, justice and morality).

An historical analysis of great political ideas as put forth by ancient and modern philosophers and political theorists such as Plato, Aristotle, Machiavelli, Rousseau and Marx. Intellectual debates on the foundational questions of politics (forms of government, the relationship of the individual to the state, justice and morality).

Examines the evolution of modern diplomacy from the 19th century to the present. Studies topics such as the balance of power, the Concert of Europe, the secret agreements and open diplomacy. Investigates the transformation from the old to the new diplomacy including parliamentary and global diplomacy.