Undergraduate Student Handbook
The I E Curriculum
Based on the feedback received from corporations, current students, and alumni, the department modified the curriculum in 2013. The revised curriculum builds a strong foundation for the development of a professionally competent and versatile industrial engineer, able to function in both manufacturing and service environments. In particular, new required courses provide students with a solid background in engineering analytics, supply chain management, and service engineering. We have also added content in the areas of project management, sustainability, and business planning. Graduates of our program will be prepared for a wide variety of careers including energy systems, financial services, health care delivery, information technology, manufacturing, supply chain management, and others.
During the student’s first two years, courses in the basic sciences and engineering are taken. These courses are, in general, common to all engineering majors. In addition, the student completes many of the university’s general education requirements during this time. This includes courses in the humanities, social sciences, arts, (refer to the University Guidelines for General Education) communications, and physical education. A student can complete the freshman and sophomore years at a Commonwealth Campus, Behrend College, or University Park.
Students start taking I E courses during the junior and senior years. The required I E courses are designed to introduce the student to basic industrial engineering fields of interest which include human factors/ergonomics, manufacturing, operations research, and service engineering. A total of six course credits from an approved list of technical electives is also required, in addition to the three-credit capstone design course. A list of the required and elective courses are given in sections 7 and 8, respectively. The required courses are grouped by fields of interest and a table in section 9 lists the courses that count as technical electives. By reading each course’s brief description of content, one can obtain a better understanding of the nature of industrial engineering.
Program Educational Objectives
We prepare our graduates to:
- Participate in and lead cross-functionally defined project teams, designing, implementing, and improving processes and systems in the manufacturing, service or government sectors, using state-of-the-art tools and methodologies.
- Work effectively in managerial and leadership positions, to establish and execute engineering and business strategies.
- Work and communicate effectively with internal and external stakeholders in the global environment, while satisfying engineering, business, and financial goals and the end customers.
- Engage in continuous learning through varied work assignments, graduate school, professsional training programs, and independent study.
Course Educational Outcomes
Analyze and design both the job and the worksite in a cost-effective manner, as well as measure the resulting output.
Understand and apply cognitive systems engineering; identify visual, auditory, cognitive, perceptual, and environmental aspects of human performance; perform task analysis and evaluate human-computer interfaces.
Understand information contained in typical specifications and methods of product verification and conformance to specifications.
Program flexible manufacturing equipment and system controllers; design logical manufacturing layouts and implement contemporary systems issues.
Perform work measurement; develop an MTM analysis and carry out a work sampling study.
Design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
Understand and apply principles of effective human/interface design to address improved human performance, visual displays, and software design.
Ability to apply time value of money and select cost-effective engineering solutions; understand cost-accounting principles.
Ability to apply probability concepts to solve engineering problems, including reliability issues.
Ability to apply statistical concepts to solve real world problems, such as hypotheses testing, design of experiments and statistical quality control methods such as process capability and control charts.
Formulate, solve, and analyze the results of linear programming models of real-world applications.
Formulate, solve, and analyze real problems using Markov chains, network models, dynamic pro-gramming, queuing theory, and inventory models.
Gain in-depth knowledge of data storage, analysis, and visualization related to manufacturing and service domains.
Ability to create simulation models of manufacturing and service systems, and analyze simulation output.
Ability to apply mathematical models to optimally design and control service systems.
Present engineering study results in technical reports and orally.
Demonstrate life-long learning by synthesizing information from several sources.
Work effectively in groups on case studies and projects.
Demonstrate knowledge of contemporary issues.
Understand professional and ethical responsibilities.
Understand the impact of engineering decisions in a global and societal context.