Department of Industrial and Systems Engineering

Curriculum Map: 2023

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CHM2045 Gen. Chemistry (3 credits) × CHM 2045 General Chemistry 1 Credits: 3 Description: The first semester of the CHM 2045 and CHM 2046 sequence. Stoichiometry, atomic and molecular structure, the states of matter, reaction rates and equilibria. A minimum grade of C is required to progress to CHM 2046. (P) Prerequisite: CHM 1025 with a minimum grade of C, or a passing score on Chem placement plus no attempt of CHM 1025 w/grade less than C or W, and MAC 1147, or MAC 1140 plus MAC 1114, or higher MAC course with a minimum grade of C.	PHY2048 Physics-1 (3 credits) × PHY 2048 Physics with Calculus 1 Credits: 3 Description: The first of a two-semester sequence of physics for scientists and engineers. The course covers Newtonian mechanics and includes motion, vectors, Newton’s laws, work and conservation of energy, systems of particles, collisions, equilibrium, oscillations and waves. (P) Prerequisite: High-school physics, PHY 2020 or the equivalent, and MAC 2311.	PHY2049 Physics-2 (3 credits) × 2049 Physics with Calculus 2 Credits: 3 Description: The second of a two-semester sequence of physics for scientists and engineers. Content includes Coulomb’s law, electric fields and potentials, capacitance, currents and circuits, Ampere’s law, Faraday’s law, inductance, Maxwell’s equations, electromagnetic waves, ray optics, interference and diffraction. (P) Prerequisite: PHY 2048 and MAC 2312;	EIN3354 Eng. Economy (3 credits) × EIN 3354 Engineering Economy Credits: 3 Description: Basic principles and applications of economic decision-making between alternatives encountered in engineering systems projects. Analysis includes methodologies of economics and finance in addition to engineering fundamentals. Prerequisite: MAC 2312 with a minimum grade of C	ESI4356 DSS (4 credits) × ESI 4356 DECISION SUPPORT SYSTEMS FOR INDUSTRIAL AND SYSTEMS ENGINEERS Credits: 4 Description: Applications of decision support systems in industrial and systems engineering; developing and implementing decision support systems arising in industrial and systems engineering using popular database management and spreadsheet software. Prerequisite: COP 2271 and ESI 4312 with minimum grades of C.	EIN4451 Lean Prod (3 credits) × EIN 4451 Lean Production Systems Credits: 3 Description: Design of flow line, cellular and flexible manufacturing systems. Design and control of lean manufacturing systems. Continuous improvement, small lot production, setup-time reduction, equipment improvement and maintenance. Principles and control of push and pull manufacturing systems. Production planning and operations scheduling. Prerequisite: ESI 3312 and ESI 3215C;
MAC2311 Calculus-1 (4 credits) × MAC 2311 Analytic Geometry and Calculus 1 Credits: 4 Description: Introduces analytic geometry; limits; continuity; differentiation of algebraic, trigonometric, exponential and logarithmic functions; applications of the derivative; inverse trigonometric functions; differentials; introduction to integration; and the fundamental theorem of calculus. (M) Credit will be given for, at most, one of MAC 2233, MAC 2311 and MAC 3472. Prerequisite: Any of the following: minimal acceptable score on the online mathematics placement exam; a grade of C in a MAC course numbered 1147 or higher; AP credit for MAC 2311; IB credit for a MAC course numbered 1147 or higher. Any course grades, AP or IB scores used to meet this prerequisite must be on file at UF by registration.	MAC2312 Calculus-2 (4 credits) × MAC 2312 Analytic Geometry and Calculus 2 Credits: 4 Description: Techniques of integration; applications of integration; differentiation and integration of inverse trigonometric, exponential and logarithmic functions; sequences and series. (M) Credit will be given for, at most, one of MAC 2312, MAC 2512 and MAC 3473. Prerequisite: MAC 2311 or MAC 3472 with a minimum grade of C.	MAC2313 Calculus-3 (4 credits) × MAC 2313 Analytic Geometry and Calculus 3 Credits: 4 Description: Solid analytic geometry, vectors, partial derivatives and multiple integrals. (M) Credit will be given for, at most, MAC 2313 or MAC 3474. Prerequisite: MAC 2312 or MAC 2512 or MAC 3473 with a minimum grade of C.	ESI3327C Mat. & Num. Meth. (3 credits) × ESI 3327C Matrix and Numerical Methods in Systems Engineering Credits: 3 Description: Theory and application of vector, matrix, and other numerical methods to systems problems. Simultaneous linear equations, characteristic values, quadratic forms, error analysis, use of series, curve fitting, nonlinear equations, and discrete methods. Laboratory emphasizes numerical solutions using MATLAB. Prerequisite: MAC 2313 and MAS 3114 with minimum grades of C.	ESI3215C Data An. for ISE Apps. (4 credits) × ESI 3215C Data Analysis for Industrial Applications Credits: 4 Description: Focuses on analysis of data encountered in ISE applications including system reliability, demand forecasting and inventory control, simulation, and quality control. Specific engineering applications are discussed through case studies. Introduction and use of computational tools to implement various data analysis techniques is an important component of this course. Prerequisite: MAC 2312 with minimum grade of C.	EIN3241 Hum. Fac. & Ergo. (3 credits) × EIN 3241 HUMAN FACTORS & ERGONOMICS – 1 Credits: 3 Description: Introduces the techniques/concepts to understand users and workplace requirements for the design of sociotechnical systems. Topics covered include methods for work measurement, human cognitive and physical capabilities and limitations, and workplace requirements. Applications for design, including computer displays, noise, repetitive and high physical effort tasks are presented. Prerequisite: ESI3215C with minimum grade of C.
GE-H, D/N (6K words) (3 credits)	EGN2020C Eng. Des. & Soc. (2 credits) × EGN2020C ENGINEERING DESIGN AND SOCIETY Credits: 2 Description: An introductory engineering course emphasizing the human-centered design process to address a societal challenge. Exploration of solid modeling, introductory programming, sensors, data acquisition, and 3D printing as maker tools for engineering prototyping. Teams will utilize multidisciplinary approaches, project management, written and oral communication skills in creating a societal-based design.	COP2271 & L Prog. (VB.NET) (3 credits) × COP 2271 Computer Programming for Engineers Credits: 2 Description: Computer programming and the use of computers to solve engineering and mathematical problems. Emphasizes applying problem solving skills; directed toward technical careers in fields employing a reasonably high degree of mathematics. The programming language used depends on the demands of the departments in the college. Several languages may be taught each semester, no more than one per section. Those required to learn a specific language must enroll in the correct section. (M) Prerequisite: MAC 2312 with minimum grade of C.	EML2023 CADD (3 credits) × ECO 2023 Principles of Microeconomics Credits: 4 Description: Theories of production, determination of prices and distribution of income in regulated and unregulated industries. Attention is also given to industrial relations, monopolies and comparative economic systems. (S)	ESI3312 OR-1 (3 credits) × ESI 3312 Operations Research 1 Credits: 3 Description: Introduces deterministic optimization modeling, algorithms, and software to aid in the analysis and solution of decision-making problems. Prerequisite: ESI 3327C with minimum grade of C.	ESI4313 OR-2 (3 credits) × ESI 4313 Operations Research 2 Credits: 3 Description: Introduces stochastic models and methodologies for analyzing and providing solutions to decision-making problems with uncertainties. Prerequisite: ESI 3327C and ESI 3215C with minimum grades of C.		EIN4335 Sr. Design (3 credits) × EIN 4335 Senior Design Project Credits: 3 Description: Integration of industrial and systems engineering methodologies; emphasizes methods of successful implementation. Project and case-study oriented. Prerequisite: ESI 3312, ESI 4313, ESI 4523, ESI 3215C, ESI 4356, EIN 3354, and EGS 4034 with minimum grades of C.
GE-H, D/N Quest – 1 (3 credits)	GE-S Quest – 2 (3 credits)	MAS3114 Comp. Lin. Alg. (3 credits) × MAS 3114 Computational Linear Algebra Credits: 3 Description: ALinear equations, matrices and determinants. Vector spaces and linear transformations. Inner products and eigenvalues. Emphasizes computational aspects of linear algebra. Prerequisite: MAC 2312 with a minimum grade of C and experience with a scientific programming language.	EGM2511 Statics (3 credits) × EGM2511 Engineering Mechanics: Statics Credits: 3 Description: Reduction of force systems, equilibrium of particles and rigid bodies, vector methods and their application to structures and mechanisms. Prerequisite: PHY 2048	EGS4034 Eng. Ethics (1 credit) × EGS 4034 Engineering Ethics and Professionalism Credits: 1 Description: Provides students with an interactive study of ethical theory and the development of professionalism. Students review case studies of ethical conflicts in engineering practice. Course covers engineering codes of ethics and requires students to resolve theoretical situations through application of ethical codes. Prerequisite: junior level standing.	ESI4523 Simulation (3 credits) × ESI 4523 Industrial Systems Simulation Credits: 3 Description: Simulation methodology and languages, such as General Purpose Simulation System (GPSS). Design and analysis of simulation experiments as well as applications to solutions of industrial and service system problems. Prerequisite: COP 2271 and ESI3215C	Technical Elective (3 credits)	Technical Elective (3 credits)
ENC1101 Writing (3 credits) × ENC 1101 Expository and Argumentative Writing Credits: 3 Description: The principal elements of writing clearly, efficiently and effectively. ENC 1101 also focuses on writing logical arguments, building research skills and developing critical thinking through reading, writing and discussion.(C)(WR)	ECO2013 Macro Economics (4 credits) × ECO 2013 Principles of Macroeconomics Credits: 4 Description: The nature of economics, economic concepts and institutions; growth, unemployment and inflation; money and banking; economic policies; and the international economy. (S)	ENC3246 Prof. Comm. (3 credits) × ENC 3246: PROFESSIONAL COMMUNICATION FOR ENGINEERS Credits: 3 Description: This course is designed to help students master a variety of communication strategies and genres of writing relevant to engineering, including everyday acts of communication, such as email, memos, letters, technical descriptions, and instructions. The course culminates with an academic research report and professional proposal. Students analyze writing situations in the professional engineering workplace and develop strategies for addressing audiences, organizing information, using appropriate style, and presenting the work. The objective of this class is to learn to respond in writing to complex rhetorical situations, preparing students for the professional communities they will join. Prerequisite: ENC 1101	ECO2023 Micro Economics (4 credits) × ECO 2023 Principles of Microeconomics Credits: 4 Description: Theories of production, determination of prices and distribution of income in regulated and unregulated industries. Attention is also given to industrial relations, monopolies and comparative economic systems. (S)	Engineering Elec. Mat/Circuits/Thermo (3 credits)	ESI4610 Intro to Data Analytics (3 credits) × ESI 4610 Introduction to Data Analytics Credits: 3 Description: Provides a basic understanding of the skills necessary for managing and analyzing data. The concepts covered include exploratory data analysis, data manipulation, data cleaning, data wrangling, and machine learning models. A basic understanding of data management with SQL is also provided. All the technical skills will be motivated by different examples involving data. Python is the programming language used. Prerequisite: COP 2271 and ESI 3215C with a minimum grade of C.	Financial Accounting (3 credits)	General Elective (3 credits)
EIN2002 Intro to ISE (1 credit) × EIN 2002 Introduction to Industrial and Systems Engineering Credits: 1 Description: Introduction to the field of industrial and systems engineering. Provides an overview of methodological and application areas as well as career paths.