Chair: Zhang, C.; Professors: Awoniyi, Braswell, Wang, Zhang, C.; Associate Professors: Liang, Okoli, Owusu, Pignatiello, Zhang, M.; Assistant Professors: Liu, Vanli, Zeng; Adjunct Professors: Chapman, Lewis, Moshir; Adjunct Instructor: Taylor
The mission of the Department of Industrial Engineering is to provide for students a solid industrial engineering curriculum coupled with a strong research program driven by the economic and technological development needs of society.
The Industrial Engineering degree provides a broad technical background with special emphasis on manufacturing systems, computer modeling, costs, quality, management, and human factors. Industrial engineering draws upon specialized knowledge and skills in the mathematical, physical, and social sciences, together with the principles and methods of engineering design and analysis, to specify, predict, and evaluate industrial systems.
The program of study includes engineering analysis for the optimization of industrial systems, design of man-machine systems, and the scientific management of activities. Specialized training is available in the use of modern engineering tools and techniques such as computer-aided design (CAD), computer integrated manufacturing (CIM), and ergonomic (human factors) engineering.
Industrial engineers pursue careers in manufacturing, service industries, and government. In addition, many industrial engineers are now being employed in nontraditional fields such as hospitals, banks, insurance, and information processing. The present and future demand for IE's appears to be very high. Industrial engineers are increasingly being called upon to act as productivity catalysts in manufacturing and service organizations in order to meet regional, national, and international demand and competition.
The Bachelor of Science in Industrial Engineering (BSIE) curriculum is designed to comply with the current Accreditation Board for Engineering and Technology (ABET) criteria for accrediting engineering programs. The educational objectives are, that within the first few years following their graduation, graduates should have:
To achieve these objectives, all industrial engineering students must demonstrate or exhibit specific program outcomes. Students are instructed to contact their academic adviser or visit the departmental Web site at http://www.ie.eng.fsu.edu to obtain the current list of industrial engineering program outcomes.
All undergraduates at Florida State University must demonstrate basic computer skills competency prior to graduation. As necessary computer competency skills vary from discipline to discipline, each major determines the courses needed to satisfy this requirement. Undergraduate majors in industrial engineering satisfy this requirement by earning a grade of "C–" or higher in CGS 3406.
The State of Florida has identified common program prerequisites for this University degree program. Specific prerequisites are required for admission into the upper-division program and must be completed by the student at either a community college or a state university prior to being admitted to this program. Students may be admitted into the University without completing the prerequisites, but may not be admitted into the program.
At the time this document was published, some common program prerequisites were undergoing revision. Please visit http://facts23.facts.org/navigation/detail_ext/cpp_intro.do?pageId=060304 for a current list of state-approved prerequisites.
The following lists the common program prerequisites or their substitutions necessary for admission into this upper-division degree program:
CGS 3406 Object Oriented Programming in C++
EEL 3003 Introduction to Electrical Engineering (3)
EEL 3003L Introduction to Electrical Engineering Lab (1)
EGN 2123 Computer Graphics for Engineers (2)
EGN 3613 Principles of Engineering Economy (2)
EGM 3512 Engineering Mechanics (4)
EML 3100 Thermodynamics (2)
MAP 3305 Engineering Math I (3)
It is the policy of the Department of Industrial Engineering that a student must receive passing grades in all prerequisite courses prior to enrolling in an industrial engineering course. Concurrent registration in a course and its prerequisites is not allowed. All prerequisites to prerequisites must be completed. Failure to abide by this policy will result in the cancellation of enrollment in the course at any time during the semester and with no refund of fees. Corequisite courses must be taken concurrently or satisfactorily completed prior to enrolling in the course.
A candidate for the Bachelor of Science (BS) degree in industrial engineering is required to successfully complete the following courses, in addition to the other College of Engineering core requirements:
EGN 3443 Statistical Topics in Industrial Engineering (3)
EIN 3104 Introduction to Engineering Management (3)
EIN 3390C Manufacturing Processes and Materials Engineering (5)
EIN 4243 Ergonomics (3)
EIN 4312 Tool and Process Engineering (3)
EIN 4333 Design of Integrated Production Systems and Facilities Layout (3)
EIN 4621 Manufacturing Systems Engineering (3)
EIN 4890 Industrial Engineering Senior Design Project I (3). - First of two semester sequence
EIN 4892 Industrial Engineering Senior Design Project II (3). - Second of two semester sequence
ESI 3312 Operations Research I: Deterministic (3)
ESI 3628 Computing Topics in Industrial Engineering (3)
ESI 4234 Quality Control and Reliability Engineering (3)
ESI 4313 Operation Research II: Nondeterministic (3)
ESI 4523 Simulation of Industrial Engineering Systems (3)
XXX XXXX Technical Elective (with adviser's approval) (3)
XXX XXXX Mathematics Elective (3)
XXX XXXX Department Electives (3)
Industrial engineering majors are required to consult with their IE undergraduate adviser before enrolling for the next academic term. Students must obtain current IE degree requirements and course offering schedules from the IE department.
In addition to University and college requirements regarding grades and grade point average (GPA), the Department of Industrial Engineering requires that the IE major achieve a grade within the "C" range or higher for all required IE courses. In accordance with College of Engineering policy, a student may request that one course completed with a grade of "D+", "D", or "D–" be counted toward the BSIE degree. Recommendation by the IME undergraduate adviser(s) and approval by the department chairperson and the associate dean are required for the course to be counted toward graduation credit.
EGN—Engineering: General
EIN—Industrial Engineering
EMA—Materials Engineering
ESI—Industrial/Systems Engineering
EGN 1004L. First Year Engineering Laboratory (1). An emphasis on student time management, a variety of products and processes, and computer-aided problem solving. Product/process involves sketching and drawing pertinent diagrams by hand, and learning the history and engineering concepts involved.
EGN 2123. Computer Graphics for Engineers (2). Corequisite: MAC 2311. Course covers principles of engineering graphics: visualization, spreadsheet applications, graphical calculus, and descriptive geometry. Also introduces the engineering design process and CAD systems.
EGN 3443. Statistical Topics in Engineering (3). Prerequisite: MAC 2312. Basic statistical analysis, samples and populations, variability, hypothesis formulation, and data analysis. Use of computer software and interpretation of results.
EGN 3613. Principles of Engineering Economy (2). Prerequisite: MAC 2313. An emphasis on discrete cash flow diagrams, cash flow equivalence factors, standard criteria for comparing project proposals, special cash flow topics, special analysis, and case studies.
EIN 3104. Introduction to Engineering Management (3). Prerequisites: EGN 2123 and EGN 3613. The evolution, history, emergence, and ethics of engineering and industrial engineering. Emphasis is placed on the management of technology and on the engineering method for product conceptualization, design, development, and production. Fundamental sciences, engineering methods, information systems, economics, and behavior theory contained in engineering management principles and practices.
EIN 3390C. Manufacturing Processes & Materials Engineering (5). Prerequisite: CHM 1045C. Corequisite: EGN 2123. Introduction to industrial materials and their composition, properties, metallography, and heat treatment. Introduction to the manufacturing processes of machine industries including hot working, cold working, and metal removal. Laboratory experiences.
EIN 3905r. Directed Independent Study (3). Prerequisite: Permission from the department chairperson. Topics vary and each case must be approved by the department chairperson. May be repeated to a maximum of six (6) semester hours.
EIN 3949r. Cooperative Work Experience (0). (S/U grade only.) May be repeated six times.
EIN 4214. Occupational Safety and Hazard Control (3). Prerequisite: EIN 4243. The history of safety, safety in the workplace, government regulations, and methods of accident prevention.
EIN 4243. Ergonomics (3). Prerequisites: EGM 3512, EGN 3443, and EIN 3390C. Human characteristics and limitations in relation to physical work, mental work, and job design. Human physiological variables in relation to industrial work environment and product design. Case studies and design exercises.
EIN 4312. Tool and Process Engineering (3). Prerequisite: EIN 3390C. Basic design techniques of various manufacturing tools, including cutting tools, inspection tools, and jigs and fixtures. Fundamental planning techniques of manufacturing processes. Design exercises.
EIN 4333. Design of Integrated Production Systems and Facilities Layout (3). Prerequisites: EGN 2123, EGN 3613, and ESI 3312C. Basic functions: demand forecasting, process planning, master scheduling, expediting, and quality control. Inventory control. Formation of systems from those basic functions. Case studies and design exercises with computer implementation.
EIN 4611. Industrial Automation and Robotics (3). Prerequisite: EIN 3390C. Introduces and familiarizes students with the basic automation problems and the technologies used in automated production and robotic systems. Various components and systems and their applications to industrial automation will be discussed. Course will be supplemented by labs that will help students apply and evaluate the concepts studied in the classroom.
EIN 4621. Manufacturing Systems Engineering (3). Prerequisite: EIN 4312. Introduction to modern manufacturing systems, with a special focus upon the integration of manufacturing resources through the use of computers. Design, planning, analysis, and control of computer integrated manufacturing systems.
EIN 4890. Industrial Engineering Senior Design Project I (3). Prerequisite: Must be in final year of the degree program. First in a two-part course sequence, this capstone class represents the culmination of the industrial-engineering design sequence and draws upon student training from all previous courses. This course utilizes the six-sigma methodology to reduce variation and defects in order to deliver products and services that meet customer requirements.
EIN 4892. Industrial Engineering Senior Design Project II (3). Prerequisite: Must be in final year of the degree program. Second in a two-part course sequence, this capstone class represents the culmination of the industrial-engineering design sequence and draws upon student training from all previous courses. This course utilizes the six-sigma methodology to reduce variation and defects in order to deliver products and services that meet customer requirements.
EIN 4934r. Honors Thesis (3). May be repeated to a maximum of six (6) semester hours.
EIN 4936r. Selected Topics in Industrial Engineering (3). Offered Fall and Spring semesters. Topics will be determined by a departmental committee on special topics, taking into consideration the needs of students who are about to graduate. May be repeated to a maximum of nine (9) semester hours.
ESI 3312C. Operations Research I: Deterministic (3). Prerequisite: MAP 3305. The following topics will be treated with emphasis on validation of algorithms and derivation of heuristics: linear programming, assignment problems, CPM, network flows, discrete optimization, branch and bound solution method, and dynamic programming. Design exercises.
ESI 3628. Computing Topics in Industrial Engineering (3). Prerequisite: CGS 3408. State of the art computing techniques for industrial engineers. Applications of structured programming, mathematical analysis software, and engineering databases. Use in engineering of GUI languages, Internet communication, and UNIX.
ESI 4234. Quality Control and Reliability Engineering (3). Prerequisite: EGN 3443. Introduction to quality and reliability engineering. Statistical quality control techniques, process capability analysis, and design and analysis of experiments for quality and reliability improvement.
ESI 4313C. Operations Research II: Nondeterministic (3). Prerequisites: EGN 3443 and MAP 3305. Development and application of nondeterministic, analytic models including PERT/CPM, discrete and continuous time Markov chains, queuing models including queuing networks, inventory models, and decision analysis. Case studies and design exercises.
ESI 4523. Simulation of Industrial Engineering Systems (3). Prerequisite: ESI 4234. Simulation modeling and computer solution of industrial engineering systems. Modeling strategies, probability considerations, simulation languages, simulation verification, and engineering case studies.
EIN 5182. Engineering Management (3).
EIN 5353. Engineering Economic Analysis (3).
EIN 5392. Manufacturing Processes and Systems (3).
EIN 5398. Manufacturing Materials Processing (3).
EIN 5459. Concurrent Engineering (3).
EIN 5524. System Modeling and Simulation (3).
EIN 5622. Computer-Aided Manufacturing (3).
EIN 5623. Computer Aided Process Planning (3).
EIN 5905r. Directed Individual Study (1–3). (S/U grade only.)
EIN 5930r. Special Topics in Industrial Engineering (1–6).
EIN 5931. Leadership and Communications (3).
EIN 5936r. Graduate Seminar (0). (S/U grade only.)
EIN 6629. Tolerance and Metrology for Precision Manufacturing (3).
EIN 6901r. Master's Thesis (1–6). (S/U grade only.)
EIN 6980. Dissertation (3–24). (S/U grade only.)
EIN 8964. Preliminary Doctoral Examination (0).
EIN 8976. Master's Thesis Defense (0). (S/U grade only.)
EIN 8985r. Dissertation Defense (0).
EMA 5182. Composite Materials Engineering (3).
ESI 5223. Statistical Process Control (3).
ESI 5228. Introduction to ISO 9000 (3).
ESI 5243. Engineering Data Analysis (3).
ESI 5247. Engineering Experiments (3).
ESI 5249. Response Surfaces and Process Optimization (3).
ESI 5328. Environmentally Conscious Design and Manufacturing (3).
ESI 5408. Applied Optimization (3).
ESI 5451. Project Analysis and Design (3).
ESI 5458. Optimization on Networks (3).
ESI 5524. Advanced Simulation Applications (3).
ESI 5525. Modeling and Analysis of Manufacturing and Industrial Systems (3).