ISE Course Guidesheet 2019-20

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These suggested course tracks are based on undergraduate requirements from the class entering in the 2019-20 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 the desired year, then click Link to Resource under the heading View Online. 

For more information on graduate-level requirements go here.

Take note of Pre- or Co-requisites

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• Discipline description

  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:

  • 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.
  • joining and contributing to industrial, government, and service organizations, and to operate effectively with a high level of professional and ethical standards.
  • independent learning, acquiring professional certifications and/or advanced degrees in reputable graduate schools in manufacturing, service, and enterprise systems.
  • communicating and contributing effectively in a diverse team environment.

• Accreditation

  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: www.ssie.binghamton.edu

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

• EDD 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. This course is assessed a $235 fee upon registration. Fees are refundable only within the first week of classes for students that withdraw and non-refundable thereafter. Corequisite: EDD 103 (linked). Course is offered in the Fall semester. 2 credits. Levels: Undergraduate

• EDD 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: EDD 111 (linked). Offered in the Fall semester. 2 credits. Levels: Undergraduate

• CHEM 111 - Chemical Principles

  A one-semester introductory course in modern chemistry for potential science and engineering majors. Covers molecular structure and bonding, solids, organic chemistry and polymers, acid/base and redox chemistry, thermodynamics, electrochemistry and kinetics in both lecture and laboratory. Fulfills all requirements met by CHEM 107-108.Credits: 4. Format: 3 hour lecture; 2 hour discussion; 3 hour laboratory per week. Prerequisite: high school chemistry. Not open to students who have credit for CHEM 107 or CHEM 108 or CHEM 104 or CHEM 105 or CHEM 106. If taken as a part of a pre-health track an additional semester of inorganic chemistry must be taken to fulfill the requirement. Offered in the fall semesters only. Course fee applies. Refer to the Schedule of Classes. Levels: Graduate, Undergraduate

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. Offered spring semester. 4 credits. Levels: Undergraduate

• EDD 112 - Intro to Engineering Analysis

  The conclusion of a two-semester introduction to the practice of engineering. Content is primarily focused on the application of mathematics in engineering. Content is reinforced in the EDD 104 engineering design projects. Course fee applies. Refer to the Schedule of Classes. Prerequisite: EDD 103, EDD 111. Corequisite: EDD 104 (linked). Course is offered in the Spring semester. 2 credits. Levels: Undergraduate

• EDD 104 - Engineering Communications II

  This class builds on the skills introduced in EDD 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: EDD 103, EDD 111. Corequisite: EDD 112 (Linked). Offered in the Spring semester. 2 credits. Levels: Undergraduate

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

Body/Wellness (Y, S, B)

Note: the GenEd "J" Designation is earned after successful completion ofEDD 111, 112, 103, 104

Year 2

Fall

• 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 permission of instructor. Offered in the Fall semester. 4 credits. 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 credit. Levels: Undergraduate

AND

• 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

OR

• 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. Every semester. 4 credits. Levels: Undergraduate

Spring

• 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. Prerequisites: Math 227 and EDD 112 or permission of instructor. Offered in the Spring semester. 4 credits. 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: Math 227 and EDD 112 or permission of instructor. Offered in the Spring semester. 4 credits. Levels: Undergraduate

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

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

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 211 or permission of instructor. Offered in the Fall semester. 4 credits. 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 permission of instructor. Offered in the Fall semester. 4 credits Levels: Undergraduate

• MATH 304 - Linear Algebra

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

• ISE 314 - 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. Prerequisite: ISE 261 or permission of instructor. Offered in the Fall 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 & 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 permission of instructor. Offered in the Spring semester. 4 credits. Levels: Undergraduate

• ISE 363 - Quality Engineering

  This course is designed to introduce the student to techniques required to maintain and improve quality within manufacturing organizations and the service sector through the use of statistical methodologies. The course covers concepts of quality, quality management and assurance, product quality, design of quality, six sigma, lean (using quality to eliminate waste), control charting, statistical process control, and quality improvement through design by considering concept development and implementation. Traditional and modern quality systems will be discussed including the work of such quality gurus like Taguchi, Deming, Juran, and Shewhart. Prerequisites: ISE 362 or permission of instructor. Offered in the Spring semester. 4 credits. Levels: 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: EDD 112 or permission of instructor. Offered in the Spring semester. 4 credits. Levels: Undergraduate

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

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 permission of instructor. Offered in the Fall semester. 4 credits. Levels: Undergraduate

• ISE 491 - 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 311 and 362 or consent of department chair. Course fee applies. Refer to the Schedule of Classes. Offered in the Fall semester. 4 credits. 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 permission of instructor. Offered in the Fall semester. 4 credits. Levels: Undergraduate

Spring

• 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. Course fee applies. Offered in the Spring semester. 4 credits. Levels: Graduate, Undergraduate

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

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

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

Pre-Approved Technical Electives for Systems Science and Industrial Engineering

SSIE 501-597

• BME 201 - Intro to Biomedical Eng

  "This is an introductory course for biomedical engineering undergraduate students. It covers topics such as recombinant DNA technologies, cell and tissue engineering, stem cell and organ regeneration, 3D tissue and organ printing, the design of tissue engineered products, biomaterial and tissue scaffolding, drug delivery, biomechanics, bioinstrumentation, engineering of immunity, and bio and medical imaging, etc. The application of nano-biotechnology in developing clinical products such as tissue engineered products, drug delivery systems, etc. will be emphasized in the course. Prerequisite: PHYS 131, Math 225. Co-requisite BIOL 113. Fall semester. 3 credit hours. Levels: Undergraduate

• BME 313 - Biomaterials

  This is an introductory biomaterials course for biomedical engineering undergraduate students. The course covers the primary biomaterial types including metals, ceramics, polymers, carbons, and composites as well as their uses in biomedical devices and implants. The application of these materials in tissue engineering, drug delivery, orthopedic implants, ophthalmologic devices, and cardiovascular devices will be particularly discussed. The biological response to implanted materials is emphasized in the course in terms of inflammation, immunity, infection, and toxicity. The regulatory biomedical device approval process is introduced as a natural extension of biocompatibility testing. Prerequisites: BIOL 113, CHEM 231 , BME 213 Fall semester. 3 credit hours. Levels: Undergraduate

• BME 318 - Biomechanics

  This course introduces students to concepts of engineering mechanics required to understand the structure and movement of biological systems. This course will deal primarily with explaining biomechanics from a continuum mechanics perspective. The course covers topics such as concepts of tensorial stress and strain, constitutive equations, mechanical properties of biosolid materials, viscoelasticity, torsion, and bending. The course also introduces topics specifically relevant to biological materials such as anisotropy, heterogeneity and failure mechanics. In addition to exploring fundamental engineering mechanics, this course will also enable students to apply these engineering principles to relevant real world biomedical problems. Prerequisites: PHYS 131 , MATH 227. Fall semester. 3 credit hours. Levels: Undergraduate

• BME 324 - Biomedical Instruments

  This is an introductory course for biomedical engineering undergraduates. It covers topics such as bioelectric signals, biomedical electronics, biomedical electrodes and sensors, instrumentation in diagnostic cardiology, extracorporeal devices, Instrumentation in blood circulation, and new technologies and advances in medical instrumentation. The course includes weekly labs to demonstrate the principles learned in class. The labs cover biosignal recording (finger pulse, ECG, EEG, and EMG), nerve conduction study, Wheatstone bridge circuit, and Op-Amp and filter circuits. Prerequisites: BME 201, BME 203, BME 213, PHYS 132. Fall semester. 4 credit hours. Levels: Undergraduate

• BME 420 - Biomed Devices & Diagnostics

  This is an advanced course for biomedical engineering undergraduates and beginning graduate students. The course covers studies of significant medical devices with a discussion of appropriate physiology, system design, biocompatibility issues, and clinical need. Details on technological function and administration of diagnosis and/or therapy are covered along with standard requirements from organizations. Prerequisites: BME 324 and BME 351, Fall semester, Lecture 3 credit hours per week. Levels: Undergraduate

• BME 432 - Ethics in Engineering

  Our goal on offering this course is to bring contextual understanding of the fundamental relationships between professional responsibility and damage wrought by natural disasters. We have chosen Hurricane Katrina, as it is still very relevant today yet sufficient time has passed such that careful analysis of the storm and its aftermath is underway. While the course focuses upon the profession of engineering, it is equally as relevant for students entering a vast array of professions. We seek to move students understanding of the tragic occurrence of disasters such as Hurricane Katrina from a purely analytical one to an understanding that can begin to lead to empathy and ultimately compassion. For it is our belief that such compassion can and will lead to more enlightened, courageous future leaders willing to act in the face of imminent threat whatever professions our students decide to pursue. Co-requisite: BME 450. Fall semester. 3 credit hours. Levels: Undergraduate

• BME 433 - Human Physiology

  An introduction to the major organ systems of the body with an emphasis on regulatory processes and interactions with other systems. The course provides students with a basic understanding of the prevalent theories of physiology and pathophysiology and the application of these theories to health concerns relevant to biomedical engineering. Prerequisites: BIOL 113 , CHEM 231 . Fall semester. 3 credit hours. Levels: Undergraduate

• BME 483 - Tissue Engineering

  This course introduces Tissue Engineering approaches at genetic and molecular, cellular, tissue, and organ levels. Topics include cell and tissue in vitro expansion, tissue organization, signaling molecules, stem cell and stem cell differentiation, organ regeneration, biomaterial and matrix for tissue engineering, bioreactor design for cell and tissue culture, clinical implementation of tissue engineered products, and tissue-engineered devices. Prerequisites: BME 313, BME 201, BIOL113. Co-requisite: BME 433. Fall semester. 3 credit hours. Levels: Undergraduate

• CS 220 - Arch from a Prog Perspective

  The architecture and programming of computer systems. Data representation and computer arithmetic. Processor and memory organization. Assembly and machine language programming. Advanced C programming language constructs and their implementation in assembly language. Introduction to system software (assemblers, linkers, loaders, compilers). Supervised laboratory work involves programming and debugging using machine language, assembly language and C. Prerequisite: CS 120 and CS 140 (All prerequisites must have a grade of C- or better). Offered every semester. 4 credits Levels: Undergraduate

• CS 240 - Data Struct & Algorithms

  Analysis of the design, implementation, and properties of basic and advanced data structures, including lists, stacks, queues, hash tables, trees, heaps, and graphs. Design and time-space analysis of basic and advanced algorithms, including searching, sorting, insert/delete, hash table collision resolution techniques, recursive functions, balanced tree maintenance, and graph algorithms. Weekly required laboratory programming and three or more additional programming projects in C++. Practical programming techniques including C++ templates and the Standard Template Library (STL), operator overloading, C++ stream I/O, separate compilation using makefiles, debugging tools and techniques, dynamic memory management. Prerequisites: CS 120 and CS 140, and either MATH 226 (may be taken concurrently) OR MATH 230 (All prerequisites must have a grade of C- or better). Offered every semester. 4 credits Levels: Undergraduate

• CS 301 - Eth Soc & Global Issues Comput

  Communications course with required writing and oral presentations. Understanding the local and global implications of computing in society, including ethical, legal, security and social issues. Developing professional skills related to computing, including effective communication and productive teamwork. Fostering an appreciation for continuing professional development. Should be taken at the same time as or before any junior-level Computer Science courses. Prerequisites: Any General Education "C" course, CS 101, and CS 210, and either CS 140 or CS 210 and may be taken concurrently (All prerequisites must have a grade of C- or better). Offered every semester. 4 credits Levels: Undergraduate

• CS 311 - Operating Systems Concepts

  Introduction to fundamental concepts for the design and implementation of operating systems: hardware/software interfaces; processes and threads; scheduling; synchronization techniques and primitives; memory management and virtual memory; file systems; input/output subsystems; resource and system virtualization; protection and security; introduction to distributed systems. Not open to CS majors. Prerequisites: CS 212 and EECE 287 (All prerequisites must have a grade of C- or better). Offered in the Fall semester. 4 credits Levels: Undergraduate

• CS 373 - Automata Theory & Formal Lg.

  Theory and application of automata and the languages they recognize. Regular languages, deterministic and non-deterministic finite automata, regular expressions, context-free languages, context-free grammars, pushdown automata, normal forms, context-sensitive languages, linear bounded automata, Turing recognizable languages, Turing decidable languages, Turing machines, computability, decidability, reducibility. Students will utilize an automata simulator to program finite automata, pushdown automata, and Turing machines. Application of concepts. Required activity includes student presentations. Prerequisites: CS 140 and either MATH 314 or MATH 330 (All prerequisites must have a grade of C- or better). Offered every semester 4 credits Levels: Undergraduate

• CS 375 - Design & Analysis of Algorithm

  Analysis of common algorithms for processing strings, trees, graphs and networks. Comparison of sorting and searching algorithms. Algorithm design strategies: divide and conquer, dynamic, greedy, back tracking, branch and bound. Introduction to NP-completeness. Required activity includes student presentations. Prerequisites: CS 240, MATH 227 and MATH 314 or MATH 330, CS 301 (may be taken concurrently). (All prerequisites must have a grade of C- or better). Offered every semester. 4 credits Levels: Undergraduate

• CS 432 - Database Systems

  Associations between data elements and data models: entity-relationship, relational and object-oriented. Relational database design techniques. Formal and commercial query languages. Introduction to query processing, transaction management and concurrency control. Prerequisite: CS 375 (All prerequisites must have a grade of C- or better). Term offered varies. 4 credits Levels: Undergraduate

• CS 435 - Introduction To Data Mining

  Basic topics of data mining, including data preprocessing, mining association rules, classification rules, clustering rules, post processing and mining in unstructured data. Prerequisites: CS 375, MATH 304 and MATH 327 or MATH 448 (All prerequisites must have a grade of C- or better). Term offered varies. 4 credits Levels: Undergraduate

• CS 436 - Intro to Machine Learning

  This course provides a broad introduction to machine learning and its applications. Major topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, support vector machines); computational learning theory (bias/variance tradeoffs, VC theory, large margins); unsupervised learning; semi-supervised learning; reinforcement learning. The course will give students the basic ideas and intuition behind different techniques as well as a more formal understanding of how and why they work. The course will also discuss recent applications of machine learning, such as to data mining, bioinformatics, and information retrieval. Prerequisites: CS 375 and MATH 327 or MATH 448 (All prerequisites must have a grade of C- or better). Term offered varies. 4 credits Levels: Undergraduate

• CS 445 - Software Engineering

  Software engineering practice applied to the life cycle of software applications and engineering projects. Software project planning and management: risk management, estimation, scheduling, trade studies, CM and SQA. Software development: process model selection, domain analysis, requirements gathering, analysis and design modeling, user interface design, architectural and detailed design, documentation, testing strategies/methods, test plan generation, and reuse. Advanced topics include formal methods and cleanroom software engineering. Requires a major team project. Prerequisites: CS 350 or CS 375 (All prerequisites must have a grade of C- or better). Term offered varies. 4 credits Levels: Undergraduate

• CS 451 - Systems Programming

  A detailed study of the application program interface of a modern operating system. File operations, concurrency, processes, threads, inter-process communication, synchronization, client-server programming, multi-tier programming. Prerequisite: CS 350 (All prerequisites must have a grade of C- or better). Term offered varies. 4 credits Levels: Undergraduate

• CS 455 - Intro to Visual Info Processin

  The course focuses on fundamental topics, including visual information acquisition, representation, description, enhancement, restoration, transformations and compressions, and reconstruction from projections. The second focus is on Computer Science applications, including algorithms developed in applications such as statistical and syntactic pattern recognition, robotic vision, multimedia indexing, visual data mining, and bio-informatics. Prerequisite: CS 375 (All prerequisites must have a grade of C- or better). Term offered varies. 4 credits Levels: Undergraduate

• CS 457 - Intro To Distributed Systems

  Fundamental issues in distributed systems. Distributed synchronization and concurrency control. Distributed process management (scheduling, remote invocation, task forces, load balancing). Protection and security. Robust distributed systems. Case studies. Prerequisites: CS 350 (All prerequisites must have a grade of C- or better). Term offered varies. 4 credits Levels: Undergraduate

• CS 458 - Intro to Computer Security

  The course provides an introduction to the principles and practices of network, computer, and information security. Topics include authentication and cryptographic techniques, intrusion detection, access control, security policies, and program/policy analysis techniques. Prerequisites: CS 350 and CS 375 (All prerequisites must have a grade of C- or better). Term offered varies. 4 credits Levels: Undergraduate

• CS 471 - Programming Languages

  Introduction to the design and implementation of programming languages: linguistic features for expressing algorithms; formal syntax specification; introduction to language semantics and parsing; declarative programming (functional and goal-driven); scripting languages; imperative programming (procedural and object-oriented); comparative design and implementation issues across languages and paradigms. Assignments emphasize languages such as Prolog, Haskell, Python, and Ruby. Required lab includes student presentations. Prerequisites: CS 373 and 375 (All prerequisites must have a grade of C- or better). Offered every semester. 4 credits Levels: Undergraduate

• EECE 315 - Electronics I

  Introduction to electronics, concentrating on the fundamental devices (diode, transistor, operational amplifier, logic gate) and their basic applications; modeling techniques; elementary circuit design based on devices. Laboratory exercises. Prerequisites: EECE 260 and EECE 251. Offered every fall semester. 4 credits. Course fee applies. Refer to the Schedule of Classes. Levels: Undergraduate

• EECE 332 - Semiconductor Devices

  Basic theory of semiconductors, p-n junctions, bipolar junction transistors, junction and MOS field effect devices; device design and modeling; and fabrication. Prerequisite: PHYS 132. Corequisite: EECE 315. Offered every fall semester. 3 credits. Levels: Undergraduate

• EECE 351 - Digital Systems Design

  Synchronous sequential circuit design. Algorithmic state machine method; state reduction; control-datapath circuit partitioning. Design of sequential arithmetic circuits. Memory interfacing; bus-based design. Specification and synthesis of digital systems using hardware description language and implementation using programmable logic devices. Simulation, analysis, testing and verification of digital systems. Laboratory exercises. Prerequisite: EECE 251. Offered every fall semester. 4 credits. Course fee applies. Refer to the Schedule of Classes. Levels: Undergraduate

• EECE 405 - Cryptography & Info Security

  Introduction to codes and ciphers, information security, and mathematical basis of encryption. Cryptanalysis (code-breaking), modern block and stream ciphers, public-key cryptography, protocols, security engineering and threat management. Technical elective. Prerequisite: ISE 261 or MATH 327 and CS 211. Offered every fall semester. 3 credits. Levels: Undergraduate

• EECE 416 - Analog Circuit Design

  Introduction to analog circuit design. Course topics include large and small-signal analysis, circuit characteristics (gain, input/output resistance, etc.), amplifier structures, frequency/time response, feedback and stability, multistage amplifier and active filters. This course includes several assignments requiring the use of software tools for circuit simulation. Technical elective. Prerequisite: EECE 315. Offered every fall semester. 3 credits. Levels: Undergraduate

• ISE 312 - Manufacturing Systems

  This course has three main areas of focus: production and inventory control, planning and design of manufacturing facilities, and understanding the physical fundamentals of processes and is designed mainly for engineering students intent on following an engineering career in a manufacturing industry. This course covers the models, networking, and systems needed to design and manage a manufacturing enterprise. Topics include facility design and material handling, forecasting techniques, demand management, economic lot size, inventory management, and scheduling methods. This is considered a technical elective. Prerequisite: ISE 311 or consent of department chair. Prerequisite: Junior standing in the Watson School or permission of instructor. Offered in the Spring semester. 3 credits. Levels: Undergraduate

• ISE 364 - Eng Project Management

  Effective Engineering Project Management is critical to business and organizational success. Through in-class practice of concepts and processes, learn proven techniques, enhanced skills and best practice principles to lay a solid Engineering Project Management foundation. Through the discipline of initiating, planning, executing, controlling, and closing a project, you will grasp a thorough understanding of how to make your engineering projects successful. Microsoft Project software will be used to demonstrate activities, duration, task relationships, Gantt Charts, network diagrams and the critical path method with a case study of contemporary engineering project. Prerequisites: ISE 211 or permission of instructor. Term offered varies. 3 credits. Levels: Undergraduate

• ISE 415 - Operations Mgmt Supply Chains

  Course deals with management of supply chains, in particular, with the operational aspects. A broad overview of supply chains of a company is introduced, together with performance measures and needed critical success factors. The course concentrates on supplies, inventories, manufacturing, and logistics of distribution. Managerial aspects as well as mathematical modeling for better planning and control will be covered. This course is considered a technical elective for undergraduate students. Prerequisite: ISE 311 and ISE 320 or consent of department chair. Crosslisted with SSIE 515. Prerequisite: Senior standing in ISE or consent of instructor. Offered in the spring semester. 3 credits. Levels: Undergraduate

• ISE 418 - Collective Dyn of Complex Syst

  Introduces students to the study of collective dynamics demonstrated by various natural, social and artificial complex systems, i.e., systems made of a massive amount of lower-level components interacting with each other in a nonlinear way. Discusses several computational modeling frameworks, including agent-based models (particle models, ecological and evolutionary models, game-theoretic models), complex network models (small-world and scale-free networks, dynamical networks, adaptive networks), and spatial models (cellular automata, partial differential equations). Also discusses mathematical concepts and tools to analyze and understand their behavior, e.g., mean-field approximation, linear stability analysis, scaling, renormalization, bifurcation, chaos, pattern formation, and phase transition. Python will be used as a primary computer programming language for modeling and simulation. Prior computer programming experience is helpful, but not strictly required. Prerequisite: ISE 314 or permission of instructor. Cross listed with SSIE 523. Term offered varies. 3 credits. Levels: Undergraduate

• ISE 419 - Applied Soft Computing

  Covers relatively new approaches to machine intelligence known collectively as "soft computing". Introduces various types of fuzzy inference systems, neural networks, and genetic algorithms, along with several synergistic approaches for combining them as hybrid intelligent systems. Emphasis is on applications, including modeling, prediction, design, control, databases and data mining. This course is considered a technical elective for undergraduate students. Prerequisites: Basic knowledge of calculus and discrete mathematics and competence in at least one programming language, or permission of instructor. Crosslisted with SSIE 519. Offered in the fall semester. 3 credits. Levels: Undergraduate

• ISE 422 - Advanced Decision Modeling

  Course provides a broad foundation in decision models and techniques used in industry and research for technical and managerial problems. Topics include decision theory, risk and uncertainty, value of information, preference measurements, prioritization of alternatives, multiple objectives and hierarchical decisions. Prerequisite: ISE 362 or permission of the instructor. Cross-listed with SSIE 522. Term offered varies. 3 credits. Levels: Undergraduate

• ISE 434 - Fundamentals of Health Systems

  One of the growing systems in our society is that of the healthcare delivery system. The purpose of this course is to introduce the concepts behind the healthcare delivery systems and to focus upon the systems improvement or continuous improvement techniques available for complex systems. Topics would include improvement to, and problems with: organizational structure, managing change, the financial structure, the responsibility structure, quality data and implications of quality measures, use of clinical decision support systems and the caregiver's role in the system. There will also be a focus upon suppliers to the healthcare delivery system and the unique requirements placed upon their products and processes. This course is considered a technical elective for undergraduate students. Prerequisite: Senior standing or consent of department chair. Cross-listed with SSIE 534. Term offered varies. 3 credits. Levels: Undergraduate

• ISE 437 - Ind & Sys Eng in Healthcare

  Introduction to health systems and healthcare delivery. The application of industrial and systems engineering principles to continuous process improvement in the healthcare domain will be studied. Concepts that will be addressed will include, but not be limited to, process mapping, optimization, scheduling, lean and flexible systems, quality enhancement, simulation, supply chain management, inventory control, and information management. The course is considered a technical elective for undergraduate students. Prerequisites: ISE 311 or permission of instructor. Crosslisted with SSIE 537. Term offered varies. 3 credits. Levels: Undergraduate

• ISE 438 - Healthcare Financial Eng

  This course is intended to provide an overview of healthcare finance and the current financial environment for the healthcare industry and to learn how to apply engineering economics to healthcare financial management. It will provide information on financial and managerial accounting and how the use of Systems Science and Industrial and Systems Engineering principles can be applied to financial management concepts to allow for health-related organizations to make sound business decisions. Prerequisite: Senior standing or permission of instructor. Crosslisted with SSIE 538. Term offered varies. 3 credits. Levels: Undergraduate

• ISE 439 - Human Factors Eng Healthcare

  This course introduces and emphasizes the role that human factors engineering/ergonomics plays in healthcare systems, with a focus on its applications to help improve quality, safety, efficiency, and effectiveness of patient care. Focused topics include human factors in workflow models; work system design for patient safety; human error analysis/taxonomies to reduce medical errors; task analysis and data collection methods in healthcare environments; clinical staff workload and patient safety; physical ergonomics in healthcare and human performance modeling; and diffusion and adoption of technology in healthcare, with emphasis on the usability and design of medical devices and information systems. Prerequisite: Senior standing or permission of instructor. Crosslisted with SSIE 539. Term offered varies. 3 credits. Levels: Undergraduate

• ISE 440 - Intro to Systems Science

  Includes the following: a general characterization of systems science as a field of study; intellectual roots, philosophical assumptions and historical development of the field; an overview of fundamental systems concepts, principles and laws; and a survey of application areas of systems science and its implications for other fields of study. This course is considered a technical elective for undergraduate students. Prerequisite: Senior standing or permission of the department chair. Cross-listed with SSIE 501. Offered in the fall semester. 3 credits. Levels: Undergraduate

• ISE 464 - Elem Of Fuz Log & Fuz Set Thry

  Simple introduction to basic elements of fuzzy logic and fuzzy set theory, including an overview of classical logic and classical set theory. Included are basic concepts and properties of classical sets and fuzzy sets, classical relations and fuzzy relations, classical logic and fuzzy logic, and fuzzy arithmetic. The practical utility of fuzzy logic and fuzzy set theory is illustrated by describing selected applications in various areas of human affairs. This course is considered a technical elective for undergraduate students. Prerequisite: ISE 261 or permission of instructor. Term offered varies. 3 credits. Levels: Undergraduate

• ISE 469 - Materials for Manufacturing

  This course provides an overview of the materials used in manufacturing that are of significant economic, technical and industrial relevance. A special emphasis will be given to polymeric materials currently used in electronics manufacturing as well as those materials emerging for use in additive manufacturing and 3D printing. Selected materials will be classified by composition, properties, manufacturing methods, applications, economics and related supply chains. Prerequisites: Senior standing in engineering or science or permission of the instructor. Crosslisted with SSIE 569. Term offered varies. 3 credits. Levels: Undergraduate

• ISE 470 - 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 311 or consent of department chair. Offered in the Fall semester. 4 credits. Levels: Undergraduate

• ISE 473 - Processes for Electr Mfg.

  The purpose is for the students to gain a broad knowledge and understanding of the basics of printed circuit board manufacturing and assembly. The course offers an introduction to surface mount and insertion mount components, materials and processes as well as to PCB design and manufacturing. Lectures will introduce assembly process flows and component types, PCB construction and defects solder paste printing and equipment, placement processes and equipment, reflow and ovens, flip chip assembly and underfilling, defects and mitigation, reliability optimization and testing. Efforts will be made to include visits to local industrial assembly facilities as well as equipment on campus. The overall goal is to provide the students with a basis for communicating and working with subject matter experts. This course is considered a technical elective for undergraduate students. Prerequisite: Senior standing or permission of instructor. Crosslisted with SSIE 578. Offered in the fall semester. 3 credits. Levels: Undergraduate

• ISE 497 - Independent Study

  Available every semester. Credits vary. Levels: Undergraduate

• ME 362 - Science of Engr. Materials

  Introduction to the structures and structure-related properties of engineering materials: metals, ceramics, and polymers. Physical properties of matter. Prerequisites: CHEM 111 and PHYS 132, Prerequisite that can be taken concurrently: ME 363. Offered in the Fall semester. 3 credits Levels: Undergraduate

• ME 363 - Engineering Materials Lab

  Laboratory course to accompany ME 362, Science of Engineering Materials. Prerequisite that can be taken concurrently: ME 362. Offered in the Fall semester. 1 credit Levels: Undergraduate

• ME 381 - Computer Aided Engr

  Fundamentals of computer-aided design, modeling, analysis and optimization. Introduction to finite element method and use of standard packages for design problems. Mechanism simulation. Includes laboratory section. Prerequisite: ME 211 with a grade of C- or better, Prerequisite that can be taken concurrently: ME 212. Offered in the Fall semester. 3 credits Levels: Undergraduate

• ME 397 - Independent Study

  Independent study supervised by a mechanical engineering faculty member. Student must obtain consent of instructor, who then determines description of program, number of credits (variable), frequency of meeting and location. Appropriate paperwork must be submitted to the department office in order to complete registration. Levels: Undergraduate

• ME 412 - Structural Mechanics

  A bridge between elementary mechanics of deformable bodies and advanced courses in elasticity. Topics covered include fundamental concepts of structural mechanics, analysis of beams, columns, trusses, frames, plates and cables, elastic stability of structures, energy method, principle of virtual work, and other topics from structural and solid mechanics. (Technical elective.) Prerequisite: ME 211. Semester offered varies. 3 credits Levels: Undergraduate

• ME 428 - Robotics

  This interactive course focuses on the design, programming and building of autonomous microcomputer-controlled robots using Lego Mindstorm Robotic kit and electro-mechanical actuators and sensors. Student will find out how to use feedback from sensors, applied mathematics and measurement to program robot to navigate in its environment and accomplish different tasks. Advanced topics like robot motion control and path planning etc. will be introduced. The course comprises many small challenges and two projects. The autonomous robots designed and programmed by each student will compete during the semester. (Technical elective.) Prerequisites: ME 274, ME 303, and ME 392, Prerequisites that can be taken concurrently ME 424. Offered in the Fall and the Spring semesters. 3 credits Levels: Undergraduate