ISE Course Guidesheet 2015-16

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These suggested course tracks are based on undergraduate requirements from the class entering in the 2015-16 academic year. These are only suggestions, refer to the University Bulletin for the official requirements for each major.

For archived requirements refer to the University Bulletin. Select desired year in the bottom left-hand corner under, "Bulletin Archive" and then the area of study.

For more information on graduate-level requirements go here.

Take note of Pre- or Co-requisites

• Field of study description, Accreditation

  Industrial and Systems Engineering (ISE) We live in a complex society, but in the Systems Science and Industrial Engineering Department, we are doing our best to make it less complicated.We study complex systems and look for simplifying solutions. We work across all environments and fields of study including manufacturing, management, service industries, healthcare systems, and others.

  So, our time could be spent at a hospital developing ways to decrease wait times in emergency rooms, or you might find us in a manufacturing facility working on quality assurance issues or consulting at amusement parks, and beyond.

  We have structured our BS ISE program so students will accomplish the following within a few years of graduation:

  1. designing, developing, and managing both deterministic and nondeterministic complex processes and systems involving people, information, equipment, and financial and material assets, with special emphasis on using probabilistic methods, design of experiments, and simulation.

  2. joining and contributing to industrial, government, and service organizations, and to operate effectively with a high level of professional and ethical standards.

  3. independent learning, acquiring professional certifications and/or advanced degrees in reputable graduate schools in manufacturing, service, and enterprise systems.

  4. communicating and contributing effectively in a diverse team environment.

  The Bachelor of Science program in Industrial and Systems Engineering is accredited by the Engineering Accreditation Commission of ABET, http://www.abet.org.

  The faculty members are committed to providing the students with an outstanding academic experience. Our curriculum also provides excellent preparation for graduate studies. For qualified undergraduates, we offer several combined-degree (accelerated five-year) programs that can lead to both a BS degree in ISE and an MS degree in either Industrial and Systems Engineering (MS ISE), Systems Science (MS SS), or Master of Business Administration (MBA).

  For more information, visit: binghamton.edu/ssie

Year 1

Engineering Design Division - The freshman year is common to all engineering majors

The GenEd “J” Designation is earned after successful completion of WTSN 111, 112, 103, 104 

Fall 

• MATH 224 - Differential Calculus

  This is a 2-credit course in differential calculus covering limits, continuity, and differentiation. Prerequisites: MATH 223 with a grade of C- or better, or Placement Exam. Offered each half semester. 2 credits. Levels: Undergraduate

• MATH 225 - Integral Calculus

  This is a 2-credit course in integral calculus covering optimization and integration. Prerequisites: MATH 224 with a grade of C- or better. Offered 2nd half of fall semester and both half semesters of spring semester. 2 credits. Levels: Undergraduate

• WTSN 111 - Intro to Engineering Design

  First course in a two-semester integrated introduction to the engineering profession. Emphasizes engineering problem-solving techniques; introduction to the engineering design process. Includes an introduction to machine shop use, engineering graphics, circuits, and computer-aided design. Corequisite: WTSN 103 (linked). Course is offered in the Fall semester. 2 credits. Levels: Undergraduate

• WTSN 103 - Engineering Communications I

  Develops student's critical thinking skills through the completion of two team-based projects. Emphasis is on teaming skills, critical reading, technical writing, oral presentation skills, project management and professionalism. A technical report and two professional presentations are required. Corequisite: WTSN 111 (linked). Offered in the Fall semester. 2 credits. Levels: Undergraduate

One Chemistry or Biology course 

General Education Elective (G, P, A, N, H) 

Body/Wellness (Y, S, B) 

Spring 

• MATH 226 - Integration Tech & Application

  This is a 2-credit course covering the calculus of transcendental & inverse functions, L’Hospital’s Rule, integral techniques, improper integrals, calculus of parametric curves, and polar coordinates. Prerequisites: Math 225 with a grade of at least a C- or consent of instructor. 2 credits. Levels: Undergraduate

• MATH 227 - Infinite Series

  This is a 2-credit course covering sequences, series, power series, and Taylor series. Prerequisites: Math 226 with a grade of at least a C- or consent of instructor. 2 credits. Levels: Undergraduate

• PHYS 131 - Gen. Physics I(Calculus Based)

  A calculus based introduction to the basic concepts underlying physical phenomena, including kinematics, dynamics, energy, momentum, forces found in nature, rotational motion, angular momentum, simple harmonic motion, fluids, thermodynamics and kinetic theory. Lectures, discussion, demonstration, and laboratory. Pre or Co-requisites: high school trigonometry and algebra; AP calculus or MATH 224/225. 4 credits. Levels: Undergraduate

• WTSN 104 - Engineering Communications II

  This class builds on the skills introduced in WTSN 103. Critical reading, engineering research, and writing through a Conceptual team-based project is emphasized. Two formal presentations, two research papers using APA documentation style and a technical report are required. Prerequisite: WTSN 103, WTSN 111. Corequisite: WTSN 112 (Linked). Offered in the Spring semester. 2 credits. Levels: Undergraduate

General Education Elective (G, P, A, N, H) 

Body/Wellness (Y, S, B)  

Year 2

Final three years of Industrial and Systems Engineering Major 

Fall

• MATH 324 - ODE's for Scientists/Engineers

  Introduction to ordinary differential equations. Topics include first order equations (separable, linear, homogeneous, exact, substitutions); linear second order equations (method of undetermined coefficients, variation of parameters); applications (oscillations and resonance, circuits); Laplace transform; power series solutions. Only one of MATH 324 and MATH 371 can be counted towards Math minor. Prerequisites: C- or better in MATH 227 or MATH 230, or consent of instructor. Every semester. 4 credits. Levels: Undergraduate

OR

• MATH 323 - Calculus III

  Calculus of functions of several variables. Prerequisites: C- or better in MATH 227 or MATH 230, or consent of instructor. Every semester. 4 credits. Levels: Undergraduate

AND

• PHYS 132 - Gen. Physics II(Calculus Based

  Fundamentals of electricity, magnetism, light, wave motion and relativity. Lectures, discussion, demonstration and laboratory. Prerequisite: PHYS 131. Pre or Corequisite: MATH 226/227. 4 credits. Levels: Undergraduate

• ME 273 - Statics

  Equilibrium of particles and rigid bodies, equivalent force system, free-body diagrams, centroid of areas, mass moment of inertia, truss analysis, friction. Must be completed with a grade of C- or better to satisfy ME program requirements. Prerequisite: PHYS 131. Offered in the Fall and Spring semesters and the Summer session. 3 credits Levels: Undergraduate

• ISE 231 - Human Factors

  Review of the concepts involved in the application of scientific principles, methods, and history to the development of engineering systems in which people play a significant role. Primary focus is on the man/machine interface and how to design for the human being as part of an overall system. Prerequisite: MATH 226/227 or consent of department chair. Offered in the Fall semester. 4 cred Levels: Undergraduate

• ISE 295 - Seminar Course

  Development of the non-technical skills essential to effective engineering. Focus is on the overview of ISE curriculum and review of technical elective options. Review of internships, resume building, issues relevant to careers in ISE (e.g., typical tasks done by ISEs) are explored. Discussion and exploration of opportunities within program. Prerequisites: Sophomore Standing. Offered in the Fall semester. 1 cred Levels: Undergraduate

Spring 

• MATH 304 - Linear Algebra

  Vector spaces, linear transformations, determinants, characteristic values, inner products. Prerequisites: C- or better in MATH 225 or consent of instructor. Every semester. 4 credits. Levels: Graduate, Undergraduate

• ISE 212 - Engineering Computing

  The objectives of the course are to: demonstrate the ability to design systems for automating processes in manufacturing, demonstrate problem-solving skills in automation, and to demonstrate the skill of using the LabVIEW and MATLAB software packages. Prerequisite: WTSN 104/112 or consent of department chair. Offered in the Spring semester. 4 cred Levels: Undergraduate

• ISE 261 - Probabilistic Systems I

  This course provides an introduction to probability models and statistical methods most likely to be encountered and used by students in their careers in engineering and the natural sciences. This introduction will emphasize, from the outset, that variation is the source from which all statistical methodology flows. Discussion includes the practical aspects of data collection and descriptive statistics with an introduction to the basic concepts of probability theory and probability distributions, correlation, point estimation, confidence intervals, and test of hypothesis. Prerequisites: WTSN 104/112 or consent of department chair. Offered in the Spring semester. 4 cred Levels: Undergraduate

• ISE 211 - Engineering Economics

  The fundamentals of engineering economy are introduced in this course. Topics covered include time value of money, equivalence, cash flows all at varying interest rates and points of time. The factors commonly used in industry for economic evaluation of alternatives are introduced and applied in this course. The analysis includes both a before tax and after tax evaluation of competing investment alternatives. Offered in the Spring semester. Prerequisites: ISE 211 or consent of department chair. 4 credits Levels: Undergraduate

Year 3

Fall 

• ISE 311 - Enterprise Systems

  Course introduces the concepts, design and planning of operating systems, with particular emphasis on manufacturing systems. Topics include introduction to lean manufacturing, JIT, Kanban, value stream mapping, standard times, MRP, inventory control, etc. The course includes plant tours to local industries that practice the concepts of the Toyota production system. Prerequisite: ISE 364 or consent of department chair. Offered in the Spring semester. 4 cred Levels: Undergraduate

• ISE 362 - Probabilistic Systems II & DOE

  Methods of inference involving two independent samples and paired data are presented. The analysis of variance is examined for single-factor and multi-factor experiments. Regression analysis for simple linear models and correlation are discussed followed by non-linear and multiple regression models. A practical, yet fundamental, approach for building quality control charts from statistical concepts, as well as a goodness-of-fit test for testing discrete and continuous underlying distributions, are reviewed. Prerequisites: ISE 261 Probabilistic Systems I or consent of department chair. Offered in the Fall semester. 4 credits Levels: Undergraduate

• ISE 370 - Industrl Automation&Ctrl

  Industrial automation is a major field in the application of computer controls and the many advances in computer systems. The objectives of this course are to: demonstrate the ability to design systems for automating processes in manufacturing, demonstrate problem-solving skills in automation, and safely use the machines in the engineering laboratory to complete designed experiments. Lectures and laboratories include exploring the use of sensors, industrial robotics, numerical control, programmable logic controllers, machine vision, electrical circuits and the fundamentals of common electrical devices, fuzzy control, the implementation of online computer control, and the ability to use industrial technical software including Pro-Engineer and AutoCAD. Laboratory work and technical reports are required. Prerequisites: ISE 212 or consent of department chair. Offered in the Fall semester. 4 cred Levels: Undergraduate

• ISE 314X - Computer Program for Engineers

  This course provides an introduction to computer programming and its applications for industrial and systems engineering (ISE) students emphasizing modern software engineering techniques in the context of industrial systems. Topics will include the fundamental concepts and applications of computer programming, software engineering, database management, computational problem solving, and statistical techniques for data mining. In this course, programming languages such as Python, VB.Net, or Matlab will be taught along with Excel VBA and SQL. Students will learn how to apply computer-programming techniques to solve different ISE problems. Offered in the Spring semester. 4 credits Levels: Undergraduate

Spring 

• ISE 320 - Optimiz & Operation Research I

  Operations research (OR) is devoted to determination of the optimal course of action of a decision problem given resource restrictions. This course primarily covers deterministic optimization and operations research techniques. Following a review of linear algebra, students learn how to mathematically model an engineering problem, how to solve the problem to optimality and how to perform sensitivity analyses on the results. Students learn linear programming (LP), integer programming (IP), branch-and-bound (B and B), and other optimization techniques. Special emphasis on the solution of engineering decision making includes the following areas: transportation models; network models; inventory models; assignment problems; decision making under risk and uncertainty; and game theory. For non-ISE students using this course as an elective for the Sustainability Engineering minor, application of these techniques as applied to decision-making for sustainability are included. Prerequisite: Math 304 or consent of department chair. Spring, 4 cr. required Levels: Undergraduate

• ISE 363 - Quality Engineering

  Learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Topics include the principles of experiment design, analysis of variance, completely randomized designs, randomized block designs, other blocking configurations, general full factorial, 2k, 3k full factorial and fractional factorial designs. Blocking and confounding in a factorial experiment and alias phenomena in a fractional factorial experiment will be emphasized. Prerequisite: ISE 362 or consent of department chair. Offered in the Spring semester. 4 cred Levels: Undergraduate

• ISE 391 - Systems Design

  Covers the design process from the definition of requirements through the final output. Focus is on the design principles and design methodologies used to ensure a quality outcome. Prerequisite: ISE 320 or consent of department chair. Offered in the Fall semester. 4 cred Levels: Undergraduate

• ISE 421 - Modeling and Simulation

  Model building, nature of simulation and material on the full range of simulation activities, such as input analysis, output analysis, verification and validation, and model animation. Includes random number generation; distribution functions and random variates; applications of discrete event simulation methods to queueing, inventory control and production planning problems; Markov processes, queueing theory and decision analysis. Prerequisites: ISE 362 and ISE 320 or consent of department chair. Offered in the Fall semester. 4 cred Levels: Undergraduate

Year 4 

Fall 

• ISE 420 - Optimiz & Operations Res II

  Operations research (OR) is devoted to the determination of the optimal course of action of a decision problem given resource restrictions. This course is intended as a second course in an Optimization and OR sequence and builds upon the material presented in ISE 320. ISE 320 primarily restricts attention to deterministic OR models. In addition to covering additional deterministic techniques (e.g., deterministic dynamic programming and additional inventory problems not covered in ISE 320, among others), ISE 420 covers probabilistic and advanced OR topics such as Monte Carlo simulation, fundamentals of queueing theory, probabilistic dynamic programming, and others. The course also introduces the student to emerging optimization techniques including, but not limited to, tabu search, simulated annealing, and genetic algorithms. Prerequisite: ISE 320 or consent of department chair. Offered in the Fall semester. 4 cred Levels: Undergraduate

• ISE 492 - Systems Design Project

  The capstone project for the undergraduate degree. Students are expected to work in multi-disciplinary teams to provide solutions through design. Prerequisite: ISE 491 or consent of department chair. Offered in the Spring semester. Prerequisite: Senior standing or consent of department chair, 4 credits, Course fee applies. Refer to the Schedule of Classes. Levels: Undergraduate

Technical Elective (ISE, ME, EECE, CS, BE)

General Education Elective (G, P, A, N, H)

Spring 

Technical Elective (ISE, ME, EECE, CS, BE)

Technical Elective (ISE, ME, EECE, CS, BE)

General Education Elective (G, P, A, N, H)

General Education Elective (G, P, A, N, H)