Laboratory work to accompany CH 115: experiments of atomic spectra, stoichiometric analysis, qualitative analysis, and organic and inorganic syntheses, and kinetics. Corequisites: CH 115
General Chemistry I (3-0-6)
(Lecture-Lab-Study Hours)
Atomic structure and periodic properties, stoichiometry, properties of gases, thermochemistry, chemical bond types, intermolecular forces, liquids and solids, chemical kinetics and introduction to organic chemistry and biochemistry. Close
Atomic structure and periodic properties, stoichiometry, properties of gases, thermochemistry, chemical bond types, intermolecular forces, liquids and solids, chemical kinetics and introduction to organic chemistry and biochemistry. Corequisites: CH 117
General Chemistry Laboratory I (0-3-1)
(Lecture-Lab-Study Hours)
Laboratory work to accompany CH 115: experiments of atomic spectra, stoichiometric analysis, qualitative analysis, and organic and inorganic syntheses, and kinetics. Close
Functions of one variable, limits, continuity, derivatives, chain rule, maxima and minima, exponential functions and logarithms, inverse functions, antiderivatives, elementary differential equations, Riemann sums, the Fundamental Theorem of Calculus, vectors and determinants.
This is a two-semester course that consists of a set of engineering experiences such as lectures, small group sessions, on-line modules and visits. Students are
required to complete a specified number of experiences each semester and are given credit at the end of the semester. The goal is to introduce students to the engineering profession, engineering disciplines, college success strategies, Stevens research and other engaging activities and to Technogenesis.
This course introduces students to the process of design and seeks to engage their enthusiasm for engineering from the beginning of the program. The engineering method is used in the design and manufacture of a product. Product dissection is exploited to evaluate how others have solved design problems. Development is started on competencies in professional practice topics, primarily: effective group participation, project management, cost estimation, communication skills and ethics. Corequisites: E 115
Introduction to Programming for Engineers (1-2-3)
(Lecture-Lab-Study Hours)
An introduction to the use of an advanced programming language for use in engineering applications, using C++ as the basic programming language and Microsoft Visual C++ as the program development environment. Topics covered include basic syntax (data types and structures, input/output instructions, arithmetic instructions, loop constructs, functions, subroutines, etc.) needed to solve basic engineering problems as well as an introduction to advanced topics (use of files, principles of objects and classes, libraries, etc.). Algorithmic thinking for development of computational programs and control programs from mathematical and other representations of the problems will be developed. Basic concepts of computer architectures impacting the understanding of a high-level programming language will be covered. Basic concepts of a microcontroller architecture impacting the use of a high-level programming language for development of microcontroller software will be covered, drawing specifically on the microcontroller used in E121 (Engineering Design I). Close
Engineering graphics: principles of orthographic and auxiliary projections, pictorial presentation of engineering designs, dimensioning and tolerance, sectional and detail views, assembly drawings. Descriptive geometry. Engineering figures and graphs. Solid modeling introduction to computer-aided design and manufacturing (CAD/CAM) using numerically-controlled (NC) machines.
An introduction to the use of an advanced programming language for use in engineering applications, using C++ as the basic programming language and Microsoft Visual C++ as the program development environment. Topics covered include basic syntax (data types and structures, input/output instructions, arithmetic instructions, loop constructs, functions, subroutines, etc.) needed to solve basic engineering problems as well as an introduction to advanced topics (use of files, principles of objects and classes, libraries, etc.). Algorithmic thinking for development of computational programs and control programs from mathematical and other representations of the problems will be developed. Basic concepts of computer architectures impacting the understanding of a high-level programming language will be covered. Basic concepts of a microcontroller architecture impacting the use of a high-level programming language for development of microcontroller software will be covered, drawing specifically on the microcontroller used in E121 (Engineering Design I).
This is a two-semester course that consists of a set of engineering experiences such as lectures, small group sessions, on-line modules and visits. Students are required to complete a specified number of experiences each semester and are given credit at the end of the semester. The goal is to introduce students to the engineering profession, engineering disciplines, college success strategies, Stevens research and other engaging activities and to Technogenesis.
Techniques of integration, infinite series and Taylor series, polar coordinates, double integrals, improper integrals, parametric curves, arc length, functions of several variables, partial derivatives, gradients and directional derivatives.
Functions of one variable, limits, continuity, derivatives, chain rule, maxima and minima, exponential functions and logarithms, inverse functions, antiderivatives, elementary differential equations, Riemann sums, the Fundamental Theorem of Calculus, vectors and determinants. Close
Vectors, kinetics, Newton’s laws, dynamics or particles, work and energy, friction, conserverative forces, linear momentum, center-of-mass and relative motion, collisions, angular momentum, static equilibrium, rigid body rotation, Newton’s law of gravity, simple harmonic motion, wave motion and sound. Corequisites: MA 115
Calculus I (3-0-0)
(Lecture-Lab-Study Hours)
Functions of one variable, limits, continuity, derivatives, chain rule, maxima and minima, exponential functions and logarithms, inverse functions, antiderivatives, elementary differential equations, Riemann sums, the Fundamental Theorem of Calculus, vectors and determinants. Close
This course continues the freshman year experience in design. The engineering method introduced in Engineering Design I is reinforced. Further introduction of professional practice topics are linked to their application and testing in case studies and project work.
This course introduces students to the process of design and seeks to engage their enthusiasm for engineering from the beginning of the program. The engineering method is used in the design and manufacture of a product. Product dissection is exploited to evaluate how others have solved design problems. Development is started on competencies in professional practice topics, primarily: effective group participation, project management, cost estimation, communication skills and ethics. Close
Ordinary differential equations of first and second order, homogeneous and non-homogeneous equations; improper integrals, Laplace transforms; review of infinite series, series solutions of ordinary differential equations near an ordinary point; boundary-value problems; orthogonal functions; Fourier series; separation of variables for partial differential equations.
Techniques of integration, infinite series and Taylor series, polar coordinates, double integrals, improper integrals, parametric curves, arc length, functions of several variables, partial derivatives, gradients and directional derivatives. Close
Coulomb’s law, concepts of electric field and potential, Gauss’ law, capacitance, current and resistance, DC and R-C transient circuits, magnetic fields, Ampere’s law, Faraday’s law of induction, inductance, A/C circuits, electromagnetic oscillations, Maxwell’s equations and electromagnetic waves.
Functions of one variable, limits, continuity, derivatives, chain rule, maxima and minima, exponential functions and logarithms, inverse functions, antiderivatives, elementary differential equations, Riemann sums, the Fundamental Theorem of Calculus, vectors and determinants. Close
Vectors, kinetics, Newton’s laws, dynamics or particles, work and energy, friction, conserverative forces, linear momentum, center-of-mass and re
lative motion, collisions, angular momentum, static equilibrium, rigid body rotation, Newton’s law of gravity, simple harmonic motion, wave motion and sound. Close
Fundamental concepts of particle statics, equivalent force systems, equilibrium of rigid bodies, analysis of trusses and frames, forces in beam and machine parts, stress and strain, tension, shear and bending moment, flexure, combined loading, energy methods, statically indeterminate structures.
Functions of one variable, limits, continuity, derivatives, chain rule, maxima and minima, exponential functions and logarithms, inverse functions, antiderivatives, elementary differential equations, Riemann sums, the Fundamental Theorem of Calculus, vectors and determinants. Close
Vectors, kinetics, Newton’s laws, dynamics or particles, work and energy, friction, conserverative forces, linear momentum, center-of-mass and relative motion, collisions, angular momentum, static equilibrium, rigid body rotation, Newton’s law of gravity, simple harmonic motion, wave motion and sound. Close
Ideal circuit elements; Kirchoff laws and nodal analysis; source transformations; Thevenin/Norton theorems; operational amplifiers; response of RL, RC and RLC circuits; sinusoidal sources and steady state analysis; analysis in frequenct domain; average and RMS power; linear and ideal transformers; linear models for transistors and diodes; analysis in the s-domain; Laplace transforms; transfer functions. Corequisites: MA 221,
Differential Equations (4-0-8)
(Lecture-Lab-Study Hours)
Ordinary differential equations of first and second order, homogeneous and non-homogeneous equations; improper integrals, Laplace transforms; review of infinite series, series solutions of ordinary differential equations near an ordinary point; boundary-value problems; orthogonal functions; Fourier series; separation of variables for partial differential equations. Close
Coulomb’s law, concepts of electric field and potential, Gauss’ law, capacitance, current and resistance, DC and R-C transient circuits, magnetic fields, Ampere’s law, Faraday’s law of induction, inductance, A/C circuits, electromagnetic oscillations, Maxwell’s equations and electromagnetic waves. Close
This course continues the experiential sequence in design. Design projects are linked with Mechanics of Solids topics taught concurrently. Core design themes are further developed. Corequisites: E 126
Mechanics of Solids
(4-0-8)
(Lecture-Lab-Study Hours)
Fundamental concepts of particle statics, equivalent force systems, equilibrium of rigid bodies, analysis of trusses and frames, forces in beam and machine parts, stress and strain, tension, shear and bending moment, flexure, combined loading, energy methods, statically indeterminate structures. Close
This course continues the freshman year experience in design. The engineering method introduced in Engineering Design I is reinforced. Further introduction of professional practice topics are linked to their application and testing in case studies and project work. Close
This course provides the background necessary for advanced study of mathematics or computer science. Topics include propositional calculus, predicates and quantifiers, elementary set theory, countability, functions, relations, proof by induction, elementary combinatorics, elements of graph theory, mends, and elements of complexity theory.
This course continues the experiential sequence in design. Design projects are in, and lectures address the area of Electronics and Instrumentation. Core design themes are further developed.
Ideal circuit elements; Kirchoff laws and nodal analysis; source transformations; Thevenin/Norton theorems; operational amplifiers; response of RL, RC and RLC circuits; sinusoidal sources and steady state analysis; analysis in frequenct domain; average and RMS power; linear and ideal transformers; linear models for transistors and diodes; analysis in the s-domain; Laplace transforms; transfer functions. Close
This course continues the experiential sequence in design. Design projects are linked with Mechanics of Solids topics taught concurrently. Core design themes are further developed. Close
Concepts of heat and work, First and Second Laws for closed and open systems including steady processes and cycles, thermodynamic properties of substances and interrelationships, phase change and phase equilibrium, chemical reactions and chemical equilibrium, representative applications.
Vectors, kinetics, Newton’s laws, dynamics or particles, work and energy, friction, conserverative forces, linear momentum, center-of-mass and relative motion, collisions, angular momentum, static equilibrium, rigid body rotation, Newton’s law of gravity, simple harmonic motion, wave motion and sound. Close
Functions of one variable, limits, continuity, derivatives, chain rule, maxima and minima, exponential functions and logarithms, inverse functions, antiderivatives, elementary differential equations, Riemann sums, the Fundamental Theorem of Calculus, vectors and determinants. Close
Atomic structure and periodic properties, stoichiometry, properties of gases, thermochemistry, chemical bond types, intermolecular forces, liquids and solids, chemical kinetics and introduction to organic chemistry and biochemistry. Close
Atomic structure and periodic properties, stoichiometry, properties of gases, thermochemistry, chemical bond types, intermolecular forces, liquids and solids, chemical kinetics and introduction to organic chemistry and biochemistry. Close
Functions of one variable, limits, continuity, derivatives, chain rule, maxima and minima, exponential functions and logarithms, inverse functions, antiderivatives, elementary differential equations, Riemann sums, the Fundamental Theorem of Calculus, vectors and determinants. Close
Vectors, kinetics, Newton’s laws, dynamics or particles, work and energy, friction, conserverative forces, linear momentum, center-of-mass and relative motion, collisions, angular momentum, static equilibrium, rigid body rotation, Newton&rsquo
;s law of gravity, simple harmonic motion, wave motion and sound. Close
The role of data structures and algorithms in the real world; principles of programming including the topics of control flow, recursion and I/O; principles of computational intelligence; topics from elementary data structures including arrays, lists, stacks, queues, pointers, strings; searching and sorting; data structures for concurrent execution; topics from elementary algorithms including analysis of algorithms and efficiency, computational complexity, empirical measurements of computational complexity of algorithms, proof techniques including induction; selected topics from advanced algorithms including distributed algorithms; programming laboratory exercises and projects.
An introduction to the use of an advanced programming language for use in engineering applications, using C++ as the basic programming language and Microsoft Visual C++ as the program development environment. Topics covered include basic syntax (data types and structures, input/output instructions, arithmetic instructions, loop constructs, functions, subroutines, etc.) needed to solve basic engineering problems as well as an introduction to advanced topics (use of files, principles of objects and classes, libraries, etc.). Algorithmic thinking for development of computational programs and control programs from mathematical and other representations of the problems will be developed. Basic concepts of computer architectures impacting the understanding of a high-level programming language will be covered. Basic concepts of a microcontroller architecture impacting the use of a high-level programming language for development of microcontroller software will be covered, drawing specifically on the microcontroller used in E121 (Engineering Design I). Close
A study of the implementation of digital systems using microprocessors. The architecture and operation of microprocessors is examined in detail along with I/O interfacing, interrupts, DMA and software design techniques. Specialized controller chips for interrupts, DMA, arithmetic processing, graphics and communications are discussed. The laboratory component introduces hardware and software design of digital systems using microprocessors. Design experiments include topics such as bus interfacing, memory decoding, serial communications and programmable ports.
Introduction to the underlying phenomena and operation of solid state electronic, magnetic and optical devices essential in the functioning of computers, communications and other systems currently being designed by engineers and scientists. Charge carrier concentrations and their transport are analyzed from both microscopic and macroscopic viewpoints, carrier drift due to electric and magnetic fields in solid state devices is formulated and optical energy absorption and emission are related to the energy levels in solid-state materials. Diffusion, generation and recombination of charge carriers are combined with carrier drift to produce a continuity equation for the analysis of solid state devices. Explanations and models of the operation of PN, metal-oxide, metal-oxide-semiconductor and heterostructure junctions are used to describe diode, transistor, photodiode, laser, integrated circuit and other device operation.
This course continues the experiential sequence in design. Design projects are in, and lectures address the area of Electronics and Instrumentation. Core design themes are further developed. Close
An introduction is provided to the important engineering properties of materials, to the scientific understanding of those properties and to the methods of controlling them. This is provided in the context of the processing of materials to produce products.
Atomic structure and periodic properties, stoichiometry, properties of gases, thermochemistry, chemical bond types, intermolecular forces, liquids and solids, chemical kinetics and introduction to organic chemistry and biochemistry. Close
This course includes both experimentation and open-ended design problems that are integrated with the Materials Processing course taught concurrently. Core design themes are further developed. Corequisites: E 344
Materials Processing
(3-0-6)
(Lecture-Lab-Study Hours)
An introduction is provided to the important engineering properties of materials, to the scientific understanding of those properties and to the methods of controlling them. This is provided in the context of the processing of materials to produce products. Close
Descriptive statistics, pictorial and tabular methods, measures of location and of variability, sample space and events, probability and independence, Bayes' formula, discrete random variables, densities and moments, normal, gamma, exponential and Weibull distributions, distribution of the sum and average of random samples, the central limit theorem, confidence intervals for the mean and the variance, hypothesis testing and p-values, applications for prediction in a regression model. A statistical computer package is used throughout the course for teaching and for project assignments.
Techniques of integration, infinite series and Taylor series, polar coordinates, double integrals, improper integrals, parametric curves, arc length, functions of several variables, partial derivatives, gradients and directional derivatives. Close
Design of complex digital CMOS/VLSI circuits. Introduction to MOS transistor characteristics and fabrication, digital circuit design and layout for integrated circuits, major categories of VLSI circuit functions, design methodologies including use of Hardware Description Languages (HDL), FPGA, verification, simulation, testability. The course includes a project using VHDL for the design of a significant system function.
Digital systems, number systems and codes, Boolean algebra, application of Boolean algebra to switching circuits, minimization of Boolean functions using algebraic, Karnaugh map and tabular methods, design of combinational circuits, programmable logic devices, sequential circuit components, design and analysis of synchronous and asynchronous sequential circuits. Close
Development of deterministic and non-deterministic models for physical systems, engineering applications and simulation tools for deterministic and non-deterministic systems. Case studies and projects.
This course covers the basics of cost accounting and cost estimation for engineering projects. Basic engineering economics topics include mathematics of finance, time value of money and economic analyses using three worths, internal rate of return and benefit cost figures of merit. Advanced topics include after tax analysis, inflation, risk analysis and multi attribute analysis. Laboratory exercises include introduction to the use of spreadsheet and a series of labs that parallel the lecture portion of the course. The student is introduced to an economic model (Spreadsheet to Determine the Economics of Engineering of Design and Development - SEED), which is used to design and provide typical venture capital financials. These financials are income statement, balance sheet, break-even analysis and sensitivity analysis. Junior standing required.
This course addresses the general topic of selection, evaluation and design of a project concept, emphasizing the principles of team-based projects and the stages of project development. Techniques to acquire information related to the state-of-the-art concepts and components impacting the project, evaluation of alternative approaches and selection of viable solutions based on appropriate cost factors, presentation of proposed projects at initial, intermediate and final stages of development and related design topics. Students are encouraged to use this experience to prepare for senior design project courses. Corequisites: CPE 345
Modeling and Simulation (3-0-6)
(Lecture-Lab-Study Hours)
Development of deterministic and non-deterministic models for physical systems, engineering applications and simulation tools for deterministic and non-deterministic systems. Case studies and projects. Close
This course includes both experimentation and open-ended design problems that are integrated with the Materials Processing course taught concurrently. Core design themes are further developed. Close
This course introduces the basics of signal and image processing. Topics include: digital signal processing fundamentals; 2-D signal filtering and transforms; image perception, formation, sampling, color representations; image smoothing and sharpening, histogram equalization; image analysis, edge detection, thresholding and segmentation; geometric image processing; digital halftoning; introduction to information theory, Huffman coding, image and video compression standards such as JPEG and MPEG.
The focus of the course is on data networks and end-user software environments for information systems. Topics include the TCP/IP protocols, organization of large-scale data networks, end-to-end operation over heterogeneous networks and the software foundation of client-server application programs. The students complete a project using TCP/IP protocols to create a basic client-server application.
Senior design course. The development of design skills and engineering judgment, based upon previous and current course and laboratory experience, is accomplished by participation in a design project. Projects are selected in areas of current interest such as communication and control systems, signal processing and hardware and software design for computer-based systems. It includes the two-credit core module on Entrepreneurial Analysis of Engineering Design (E 421) during the first semester.
A continuation of CpE 423 in which the design is implemented and demonstrated. This includes the completion of a prototype (hardware and/or software), testing and demonstrating performance, and evaluating the results.
Senior design course. The development of design skills and engineering judgment, based upon previous and current course and laboratory experience, is accomplished by participation in a design project. Projects are selected in areas of current interest such as communication and control systems, signal processing and hardware and software design for computer-based systems. It includes the two-credit core module on Entrepreneurial Analysis of Engineering Design (E 421) during the first semester. Close
Basic Science electives – note: engineering programs may have specific requirements
- one elective must have a laboratory component
- two electives from the same science field cannot be selected
(3)
Credit for E 101 & 102
(4)
Core option – specific course determined by engineering program
(5)
Discipline specific courses
(6)
General Education Electives – chosen by the student
- can be used towards a minor or option
- can be applied to research or approved international studies
(7)
Discipline-specific course
(8)
Core option – specific course determined by engineering program
