Industrial and Systems Engineering

The Master of Science in Engineering (MSE) - may be characterized as being both career-oriented and flexible. Program plans and options are available to accommodate the needs of nearly every engineering graduate student. Graduate students enrolled in any of the engineering graduate programs must complete:

  • 30 semester hours for the thesis plan,
  • 30 semester hours for the non-thesis/course plan,
  • 30 semester hours for the management plan, 
  • 30 semester hours for the internship plan, or
  • 30 semester hours for the 4+1 Bachelor's/Master's Program*.

*The 4+1 Bachelor's/Master's Program is only available to students already in the YSU Engineering undergraduate program.

The degree requirements consist of core courses, technical courses, and project courses. The management plan also requires a series of business courses. These degree programs are designed to provide graduate students with the knowledge and skills to excel in professional careers and/or pursue a Ph.D. or doctorate degree in engineering. To obtain a list of discipline-specific technical course requirements for a particular engineering discipline, students should contact the program director for the program of interest.

Program Plans

Thesis Plan

Graduate students choosing the thesis plan are required to complete 30 semester hours of gradu­ate coursework. This plan is strongly recommended for candidates who wish to continue their graduate studies beyond the master’s degree. The thesis provides firsthand experience in experimental design, literature review, research methodology, technical report writing, and oral presentation of results. It also enables students to develop deeper expertise in their chosen area of specialization.

  • 9 semester hours of Mathematics, Computer Science and Engineering Courses
  • 3 semester hours of seminar course
  • 6 semester hours of thesis
  • 12 semester hours of discipline-specific technical courses 
COURSE TITLE S.H.
Mathematics, Computer Science and Engineering Courses9 s.h.
Advanced Engineering Mathematics 1
Advanced Engineering Mathematics 2
Data Science and Machine Learning
Project Planning and Management
Seminar Course3 s.h.
Seminar (Course is repeated 3 times at 1 s.h. each time.)
Master's Thesis6 s.h.
Thesis
Discipline-Specific Technical Courses A minimum of 6 s.h. must be 6900 level. 12 s.h.
Industrial and Systems Engineering Courses

Non-thesis Course Plan

The non-thesis plan is designed for students who wish to deepen their knowledge and skills for careers as practicing engineers and who do not intend to pursue doctoral study. This plan requires 30 semester hours of coursework:

  • 9 semester hours of Mathematics, Computer Science and Engineering Courses
  • 3 semester hours of seminar course
  • 3 semester hours of graduate project
  • 15 semester hours of discipline-specific technical courses

Students enrolled in the graduate project must present and defend their results in a public presentation to the engineering faculty and students.

COURSE TITLE S.H.
Mathematics, Industrial and Systems Engineering Courses9 s.h.
Advanced Engineering Mathematics 1
Advanced Engineering Mathematics 2
Data Science and Machine Learning
Project Planning and Management
Seminar Course3 s.h.
Seminar (Course is repeated 3 times at 1 s.h. each time.)
Graduate Project3 s.h.
Graduate Project
Discipline-Specific Technical Courses A minimum of 6 s.h. must be 6900 level. 15 s.h.
Industrial and Systems Engineering Courses

Management Plan

Students who have been in the work arena and are moving into an engineering management role may wish to choose the management plan. A total of 30 semester hours of coursework is required for this plan. This consists of:

  • 9 semester hours of Mathematics, Computer Science and Engineering Courses
  • 3 semester hours seminar course
  • 9 semester hours of business and engineering courses
  • 9 semester hours of discipline-specific technical courses
COURSE TITLE S.H.
Mathematics, Industrial and Systems Engineering9 s.h.
Advanced Engineering Mathematics 1
Advanced Engineering Mathematics 2
Data Science and Machine Learning
Project Planning and Management
Seminar Course3 s.h.
Seminar (Course is repeated 3 times at 1 s.h. each time.)
Business and Engineering Management Courses9 s.h.
Operations & Supply Chain Strategy
Business Courses OMBA 69XX 6 s.h.
Discipline-Specific Technical Courses A minimum of 6 s.h. must be 6900 level. 9 s.h.
Industrial and Systems Engineering Courses

Internship Plan

Students who have internship credits may wish to choose the Internship plan. A total of 30 semester hours of coursework is required for this plan. This consists of:

  • 9 semester hours of core courses,
  • 3 semester hours of seminar courses
  • 6 semester hours of Internship courses
  • 12 semester hours of technical courses
COURSE TITLE S.H.
Mathematics, Computer Science and Engineering Courses9 s.h.
Advanced Engineering Mathematics 1
Advanced Engineering Mathematics 2
Data Science and Machine Learning
Project Planning and Management
Seminar Course3 s.h.
Seminar (Course is repeated 3 times at 1 s.h. each time.)
Internship6 s.h.
STEM Graduate Internships
Discipline-Specific Technical Courses A minimum of 6 s.h. must be 6900 level. 12 s.h.
Industrial and Systems Engineering Courses

 

4+1 Bachelor's/Master's Program Plan

A total of 30 semester hours of coursework is required for this plan. This consists of:

  • 9 semester hours of core courses
  • 12 semester hours of technical courses
  • 3 semester hours of Seminar
  • 6 semester-hour graduate project or 6 semester-hour thesis

Undergraduate students can apply for admission into the 4+1 Bachelor's/Master's Program after completing 78 semester hours with a GPA of 3.3 or higher. After being admitted into the program, students can take a maximum of nine semester hours of graduate coursework that can count toward both a bachelor's and master's degree. The courses chosen to count for both undergraduate and graduate coursework must be approved by the Graduate Program Director upon admission into the program. An additional three hours of graduate coursework can be completed as an undergraduate and used exclusively for graduate credit.

Learning Outcomes: 

•  Advance their mathematical knowledge and application of Industrial engineering tools;

•  Obtain depth of knowledge in systems engineering and a specific industrial engineering discipline;

•  Improve their ability to conduct research and develop new ideas for engineering practice;

•  Understand methodologies and their applications in engineering design and practice;

• Enhance their technical writing and oral communication skills.

ISEN 5801    Operations Research 1    3 s.h.

Formulation and solution of engineering problems using linear programming. Model formulation, the primal, dual, and transportation simplex methods, duality theory, and sensitivity analysis.
Prereq.: MATH 2673.

ISEN 5811L    Manufacturing Practices I Laboratory    1 s.h.

Experimental analysis of manufacturing processes. Process control and data acquisition. Experimental design applied to processes including polymer processes, casting, machining, and joining. Three hours laboratory.
Prereq. or Coreq.: ISEN 3723.

ISEN 5812L    Manufacturing Practices 2 Laboratory    1 s.h.

Experimental analysis of advanced manufacturing techniques. Advanced sensing and controlling technologies. Real-time monitoring, metrology, and data acquisition. Numerically controlled (NC) machines and programming. Net-shape and additive manufacturing.
Prereq. or Coreq.: ISEN 5823.

ISEN 5820    Advanced Quality for Engineers    3 s.h.

Applications and practices of quality control in industry. Engineering and administrative aspects of quality control programs, process control, and acceptance sampling. Application of quantitative methods to the design and evaluation of engineered products, processes, and systems.
Prereq.: ISEN 3720.

ISEN 5823    Automation    3 s.h.

Principles and applications of sensing, actuation and control. Emphasis on hydraulic and pneumatic systems. Industrial process controllers, sensors and machine vision. Design and cost considerations for industrial automation applications.
Prereq.: MECH 2641, ECEN 2614 or consent of instructor.

ISEN 5825    Advanced Engineering Economy    3 s.h.

An extension of the topics in engineering economy. Analysis of rationale and norm of decision making, risk and uncertainty models, utility theory, measurement of productivity, and advanced project comparison methods.
Prereq.: ISEN 2624.

ISEN 5830    Human Factors Engineering    3 s.h.

Various aspects of human factors in the design of human-machine systems and environments. Study of human sensory, perceptual, mental, psychomotor, and other characteristics; techniques of measuring human capabilities, limitations, safety, comfort, and productivity.
Prereq.: MATH 2673.

ISEN 5850    Operations Research 2    3 s.h.

Formulation and solution of industrial engineering problems using operational research models. Topics include queuing models and the specialization of linear models to equipment replacement, project planning, assignment, and transshipment problems.
Prereq.: ISEN 5801.

ISEN 5880    Management of Technology    3 s.h.

The course discusses major topics in management of technology and innovations. Dynamics of technology innovation, sources of technology innovations, corporate technology strategy, collaboration and intellectual property, structures and process for innovations, idea generation, commercialization of technology and innovations, and market entry.
Prereq.: Senior standing or consent of instructor.

ISEN 5881    Competitive Manufacturing Management    3 s.h.

Basic principles of manufacturing competitiveness. The role of engineers in promoting competitiveness. Discussion of new technologies used in modern manufacturing management including, continuous improvement, waste elimination, JIT, lean production systems, setup time reduction, equipment maintenance/improvement, total quality management, and supply chain management.
Prereq.: ISEN 3723 or consent of instructor.

ISEN 6901    Optimization Techniques    3 s.h.

A study of the theory of optimization and its application to problems from several engineering disciplines. The principles will be applied to constrained and unconstrained engineering problems. Algorithms will be developed for solving optimization problems, which can be formulated as linear, nonlinear, integer, or dynamic programming models.

ISEN 6902    Digital Simulation    3 s.h.

A study of simulation methods using digital computers, random number generation, Monte Carlo techniques, queuing models, and analysis of simulation output. The student will be provided the opportunity to simulate moderately complex systems on digital computers. Primary emphasis will be on models of technical, scientific, and economic systems.

ISEN 6905    Applied Statistics for Design, Quality, and Productivity    3 s.h.

Review of probability and statistics, uncertainty and decision making, statistical inference, and analyzing sources of variation. Risk and reliability, risk assessment, robust and quality design, regression analysis, and analysis of variance. Design of experiments, single-factor and multifactor experiments, design of experiments for product characteristics, process characteristics, and process optimization. General statistical process control, special charts and sampling techniques for control, monitoring, and auditing quality. Economic issues in process/quality control.
Prereq.: ISEN 3710 Engineering Statistics or equivalent.

ISEN 6906    Supply Chain Engineering    3 s.h.

In an expanding global economy, efficient and responsive supply chains are critical to business success. This course explores key aspects of supply chain engineering with an emphasis on mathematical approaches to supply chain analysis. Topics include demand forecasting, inventory modeling and control, facility location, capacity planning, transportation, warehousing, scheduling, material requirements planning and procurement.
Prereq.: ISEN 3710/ISEN 6921 and consent of instructor.

ISEN 6908    Logistics Engineering and Mgt    3 s.h.

Study of logistics from a systems engineering perspective. Covers design of systems for supportability and serviceability, the production and effective distribution of systems for customer use, and the sustaining maintenance and support of systems throughout their period of utilization.
Prereq.: ISEN 3720, ISEN 5801 or consent of the instructor.

ISEN 6910    Design and Analysis Experiment    3 s.h.

For professionals from business and industry, and students. Specific topics will be announced each time the workshop is offered. Credit hours based on frequency and duration of workshop meetings.

ISEN 6912    Network Flows    3 s.h.

Flow problems on networks. Maximum flow minimum cut theorem. Labeling algorithms. Circulation and feasibility theorems. Sensitivity analysis. Incidence matrices. Shortest routes. Minimum cost flows, out-of-kilter algorithm. Critical path networks, project cost curves. Multi-commodity flow problem, billows. Matching problems in graph theory.
Prereq.: ISEN 5801 or MATH 3720.

ISEN 6920    Project Management    3 s.h.

Methods for planning, organizing, scheduling, supporting, and controlling projects. Network techniques, including CPM, PERT, and time-cost trade-off analysis. Techniques for the estimation of time, manpower, and other resource requirements of the projects, including economic and statistical analysis, forecasting, learning curves, and line balancing. Management of time and other resources involved. Case studies and utilization of computer resources for the analysis and presentation of projects.
Prereq.: graduate standing in STEM college.

ISEN 6921    Engineering Statistics    3 s.h.

Development and application of stochastic models of engineering systems. Elementary probability models applied to decision making under uncertainty. Development and use of theoretical probability distributions for describing stochastic systems. Models for point and confidence interval estimation and models for correlation analysis applied to engineering problems.
Prereq.: ISEN 3710 or equivalent.

ISEN 6930    Microcomputer Models for Deterministic Engineering Systems    3 s.h.

Microcomputer model development, implementation, evaluation, and application for deterministic engineering systems. Recognition of engineering systems amenable to analysis as deterministic microcomputer models. Determination of model structure, identification of model parameters, verification of model validity, exercising the model, and interpretation of results.

ISEN 6935    Decision Analysis for Engineering    3 s.h.

Review of probability and statistics, subjective probability, probability models, using data, Monte Carlo simulation, and value of information. Introduction to decision analysis, elements of decision problems, structuring decisions, making choices, creativity, and decision making. Risk attitudes, utility axioms, paradoxes, and conflicting objectives.
Prereq.: ISEN 3710 Engineering Statistics or equivalent, or permission of instructor.

ISEN 6939    Operations & Supply Chain Strategy    3 s.h.

This course explores manufacturing and service processes for transforming resources into technology-based products. It will cover strategies and processes for moving information and materials through the supply chain, strategies to support overall firm objectives, product development programs and capacity utilization requirements. The course will also explore manufacturing for flow design and facility layout; six sigma quality and statistical process control, lean supply chains, logistics, distribution and global sourcing; ERP', and inventory management.
Prereq.: ISEN 3710 or equivalent.

ISEN 6970    Advanced Manufacturing Processes 1    3 s.h.

Advanced manufacturing processes for metallic materials. Included are continuous casting, powder techniques, fluidized bed reactors, and directional solidification.

ISEN 6971    Advanced Manufacturing Processes 2    3 s.h.

Advanced manufacturing processes for nonmetallic materials. Included are sintering, slip casting, plastic forming techniques, and extrusion of nonplastic materials.

ISEN 6990    Special Topics    3 s.h.

Special topics in industrial/manufacturing systems engineering covering areas not otherwise available. Topics are selected by the faculty from fields of current research interest or special emphasis and may vary from semester to semester. May be repeated for a maximum of six semester hours.

ISEN 6992    Graduate Projects    3 s.h.

Analysis, design, research, or other independent investigation on projects selected with the advice and approval of the student's graduate committee.
Prereq.: Permission of instructor.

ISEN 6999    Thesis    1-6 s.h.

Hours arranged. May be repeated.

Professor

S. Cory Brozina, Ph.D., Assistant Professor

Kyosung Choo, Ph.D., Professor

Brian K. Friedrich, Ph.D., Assistant Professor

Hazel Marie, Ph.D., Professor

Stefan Moldovan, Ph.D., Assistant Professor

Jae Joong Ryu, Ph.D., Associate Professor

Elvin B. Shields, Ph.D., Professor

Virgil C. Solomon, Ph.D., Professor

Bharat Yelamanchi, Ph.D., Assistant Professor