ENGR 2600: Applications of Probability (co-req. MATH 2255)
This course covers axioms of probability, continuous and discrete distributions used in engineering, sampling distributions, expectation, conditional probability, central limit theorem, and introduction to Poisson Processes.

ENGR 3600: Engineering Statistics (pre-req. ENGR 2600)
This course covers point and interval estimation, hypothesis testing, analysis of variance, and introduction to regression analysis, with applications to engineering problems.

SyE 1001 Systems Engineering Orientation (prereq. none)
This course examines the field of Systems Engineering in today’s world. The students will become familiar with what is expected in this field and the types of opportunities available. Speakers will be brought in for various topics.

SyE 2100 Principles of Systems Engineering I: Requirements Analysis (pre-req. sophomore standing)
In this course students will learn techniques for developing, analyzing and portraying design and life cycle systems requirements. Students will learn to use tools and techniques including Quality Function Deployment, IDEF0 Charts, and Enhanced Block Flow Diagrams.

SyE 2300 Economic Decision Analysis (prereq. MATH 2253, Econ 1107)
This course covers the basic tools used in engineering economic decision making, including discounted cash flow, replacement and timing decisions, depreciation, risk analysis, and pricing mechanisms. Topics may also include an introduction to preferences and utilities, equilibrium concepts, game theory, and incentive compatibility.

SyE 3100 Principles of Systems Engineering II: Reliability, Maintainability and Risk Management (prereq. SyE 2100, MATH 2254, ENGR 2600)
This course introduces engineering principles and methods used for system reliability, maintainability and risk assessment and mitigation. Accelerated testing, FMEA, system safety, and sustainability are introduced.

SyE 3120 Contemporary Technological Systems (prereq. SyE 3100)
This course focuses on how system engineering principles are applied to modern technological and infrastructure systems. Defense, space, communication, energy, transportation and manufacturing systems are analyzed. Other topics include architecture descriptions, heuristic problem solving, sociotechnical issues and managing complexity.

SyE 3200 Human Machine Systems (prereq. SyE 3100)
In this course students will study the relationship between humans and the systems they interact with. Students will study human physical and psychological strengths and weaknesses as well as organizational and political issues that influence the effectiveness of Human-Machine interactions

SyE 3300 Program Management (Pre-req. SyE 2100)
This course focuses on management of large, complex programs and management in technologically intense environments. Concurrent engineering, integrated product development, R&D, measuring and controlling the work, and managing risk will be covered.

SyE 3400: Engineering Optimization I: Deterministic Decision Models (pre-req. MATH 3256)
This course focuses on deterministic methods of operations research and their applications. Constructing models, employing modern modeling languages, and understanding general solution strategies are emphasized. Applications include inventory & production planning, transportation & logistics, and project management.

SyE 3700 Manufacturing and Production Systems (prereq. ENGR 3600, SyE 3400)
An analysis of decision making in the current production environment and the tools and optimization models needed for finding solutions to problems relating to production planning and scheduling, inventory, and warehouse design.

SyE 3710 Logistics and Supply Chain Systems (prereq. ENGR 3600, SyE 3400)
An analysis of decision making in the current logistics environment and the tools and optimization models needed for finding solutions to problems relating to supply chain design and strategy, transportation, and warehouse management.

SyE 4400: Engineering Optimization II: Stochastic Decision Models (prereq. ENGR 3600, SyE 3400)
Modeling and solution of decision problems under uncertainty. Topics include Markov Chains, stochastic programming, stochastic dynamic programming, queuing theory, utility theory and simulation. Computer solution techniques are emphasized.

SyE 4500: System Modeling and Simulation (prereq. SyE 4400)
Modeling and simulation of systems. Topics include basic simulation and system modeling techniques, random sampling procedures, input analysis, output analysis and system evaluation. Practical implementations using common modeling languages and simulation software are emphasized.

SyE 4900: System Design Project (prereq: student must be in his/her last spring semester)
The course focuses on the student completing a project that is a comprehensive application of the subject matter in the SyE curriculum. The general intent of the project is to demonstrate the students' knowledge of the integrative aspects of the systems engineering process. There is a formal report and a defended oral presentation required before industrial and academic experts.