Electrical Engineering BS  Curriculum
Electrical Engineering BS
Electrical Engineering, BS degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
CHMG131  General Chemistry for Engineers This rigorous course is primarily for, but not limited to, engineering students. Topics include an introduction to some basic concepts in chemistry, stoichiometry, First Law of Thermodynamics, thermochemistry, electronic theory of composition and structure, and chemical bonding. The lecture is supported by workshopstyle problem sessions. Offered in traditional and online format. Lecture 3 (Fall, Spring). 
3 
EEEE105  Freshman Practicum EE Practicum provides an introduction to the practice of electrical engineering including understanding laboratory practice, identifying electronic components, operating electronic test and measurement instruments, prototyping electronic circuits, and generating and analyzing waveforms. Laboratory exercises introduce the student to new devices or technologies and an associated application or measurement technique. This handson lab course emphasizes experiential learning to introduce the student to electrical engineering design practices and tools used throughout the undergraduate electrical engineering program and their professional career. Laboratory exercises are conducted individually by students using their own breadboard and components in a test and measurement laboratory setting. Measurements and observations from the laboratory exercises are recorded and presented by the student to a lab instructor or teaching assistant. Documented results are uploaded for assessment. Lab 1, Lecture 1 (Fall, Spring). 
1 
EEEE120  Digital Systems I This course introduces the student to the basic components and methodologies used in digital systems design. It is usually the student's first exposure to engineering design. The laboratory component consists of small design, implement, and debug projects. The complexity of these projects increases steadily throughout the term, starting with circuits of a few gates, until small systems containing several tens of gates and memory elements. Topics include: Boolean algebra, synthesis and analysis of combinational logic circuits, arithmetic circuits, memory elements, synthesis and analysis of sequential logic circuits, finite state machines, and data transfers. (This course is restricted to MCEEBS, EEEEBS and ENGRXUND students.) Lab 2, Lecture 3 (Fall, Spring). 
3 
MATH181  Calculus I (General Education – Mathematical Perspective A) This is the first in a twocourse sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisites: MATH111 or (NMTH220 and NMTH260 or NMTH272 or NMTH275) or equivalent courses with a minimum grade of B, or a score of at least 60% on the RIT Mathematics Placement Exam.
Corequisites: MATH181R or equivalent course.) Lecture 6 (Fall, Spring). 
4 
MATH182  Calculus II (General Education – Mathematical Perspective B) This is the second in a twocourse sequence. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C or better in MATH181 or MATH181A or equivalent course.) Lecture 6 (Fall, Spring). 
4 
PHYS211  University Physics I (General Education – Scientific Principles Perspective) This is a course in calculusbased physics for science and engineering majors. Topics include kinematics, planar motion, Newton's Laws, gravitation, work and energy, momentum and impulse, conservation laws, systems of particles, rotational motion, static equilibrium, mechanical oscillations and waves, and data presentation/analysis. The course is taught in a workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: C or better in MATH181 or equivalent course. Corequisites: MATH182 or equivalent course.) Lec/Lab 6 (Fall, Spring). 
4 
YOPS10  RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their firstyear experiences, receive feedback, and develop a personal plan for future action in order to develop foundational selfawareness and recognize broadbased professional competencies. (This class is restricted to incoming 1st year or global campus students.) Lecture 1 (Fall, Spring). 
0 
General Education – FirstYear Writing (WI) 
3  
General Education – Artistic Perspective 
3  
General Education – Global Perspective 
3  
General Education – Social Perspective 
3  
General Education – Elective 
3  
Second Year  
CMPR271  Computational Problem Solving for Engineers This course introduces computational problem solving. Basic problemsolving techniques and algorithm development through the process of topdown stepwise refinement and functional decomposition are introduced throughout the course. Classical numerical problems encountered in science and engineering are used to demonstrate the development of algorithms and their implementations. May not be taken for credit by Computer Science, Software Engineering, or Computer Engineering majors. This course is designed for Electrical Engineering and MicroElectronic Engineering majors and students interested in the Electrical Engineering minor. (Prerequisites: (MATH181 or MATH181A or MATH171) and (MCEEBS or EEEEBS or ENGRXUND or EEEEDUBS or ENGXDUUND) or equivalent courses.) Lecture 3 (Fall, Spring). 
3 
EEEE220  Digital Systems II In the first part, the course covers the design of digital systems using a hardware description language. In the second part, it covers the design of large digital systems using the computer design methodology, and culminates with the design of a reduced instruction set central processing unit, associated memory and input/output peripherals. The course focuses on the design, capture, simulation, and verification of major hardware components such as: the datapath, the control unit, the central processing unit, the system memory, and the I/O modules. The lab sessions enforce and complement the concepts and design principles exposed in the lecture through the use of CAD tools and emulation in a commercial FPGA. This course assumes a background in C programming. (Prerequisites: (EEEE120 or 0306341) and CMPR271 or equivalent courses.) Lab 2, Lecture 3 (Fall, Spring). 
3 
EEEE260  Introduction to Semiconductor Devices An introductory course on the fundamentals of semiconductor physics and principles of operation of basic devices. Topics include semiconductor fundamentals (crystal structure, statistical physics of carrier concentration, motion in crystals, energy band models, drift and diffusion currents) as well as the operation of pn junction diodes, bipolar junction transistors (BJT), metaloxidesemiconductor (MOS) capacitors and MOS fieldeffect transistors. (Prerequisites: PHYS212 or PHYS208 and 209 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
EEEE281  Circuits I Covers basics of DC circuit analysis starting with the definition of voltage, current, resistance, power and energy. Linearity and superposition, together with Kirchhoff's laws, are applied to analysis of circuits having series, parallel and other combinations of circuit elements. Thevenin, Norton and maximum power transfer theorems are proved and applied. Circuits with ideal opamps are introduced. Inductance and capacitance are introduced and the transient response of RL, RC and RLC circuits to step inputs is established. Practical aspects of the properties of passive devices and batteries are discussed, as are the characteristics of batterypowered circuitry. The laboratory component incorporates use of both computer and manually controlled instrumentation including power supplies, signal generators and oscilloscopes to reinforce concepts discussed in class as well as circuit design and simulation software. (Prerequisite: MATH173 or MATH182 or MATH182A or equivalent course.) Lab 3, Lecture 3 (Fall, Spring, Summer). 
3 
EEEE281R  Circuits I Recitation 
0 
EEEE282  Circuits II This course covers the fundamentals of AC circuit analysis starting with the study of sinusoidal steadystate solutions for circuits in the time domain. The complex plane is introduced along with the concepts of complex exponential functions, phasors, impedances and admittances. Nodal, loop and mesh methods of analysis as well as Thevenin and related theorems are applied to the complex plane. The concept of complex power is developed. The analysis of mutual induction as applied to coupledcoils. Linear, ideal and nonideal transformers are introduced. Complex frequency analysis is introduced to enable discussion of transfer functions, frequency dependent behavior, Bode plots, resonance phenomenon and simple filter circuits. Twoport network theory is developed and applied to circuits and interconnections. (Prerequisites: C or better in EEEE281 or equivalent course.) Lecture 3, Recitation 2 (Fall, Spring, Summer). 
3 
EEEE346  Advanced Programming This course teaches students to master C++ programming in solving engineering problems and introduces students to basic concepts of objectoriented programming. Advanced skills of applying pointers will be emphasized throughout the course so as to improve the portability and efficiency of the programs. Advanced skills of preprocessors, generic functions, linked list, and the use of Standard Template Library will be developed. (Prerequisites: CMPR271 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
EGEN99  Engineering Coop Preparation This course will prepare students, who are entering their second year of study, for both the job search and employment in the field of engineering. Students will learn strategies for conducting a successful job search, including the preparation of resumes and cover letters; behavioral interviewing techniques and effective use of social media in the application process. Professional and ethical responsibilities during the job search and for coop and subsequent professional experiences will be discussed. (This course is restricted to students in Kate Gleason College of Engineering with at least 2nd year standing.) Lecture 1 (Fall, Spring). 
0 
MATH221  Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vectorvalued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH219. (Prerequisite: C or better MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). 
4 
MATH231  Differential Equations This course is an introduction to the study of ordinary differential equations and their applications. Topics include solutions to first order equations and linear second order equations, method of undetermined coefficients, variation of parameters, linear independence and the Wronskian, vibrating systems, and Laplace transforms. (Prerequisite: MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 3, Recitation 1 (Fall, Spring, Summer). 
3 
PHYS212  University Physics II (General Education – Natural Science Inquiry Perspective:) This course is a continuation of PHYS211, University Physics I. Topics include electrostatics, Gauss' law, electric field and potential, capacitance, resistance, DC circuits, magnetic field, Ampere's law, inductance, and geometrical and physical optics. The course is taught in a lecture/workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: (PHYS211 or PHYS211A or PHYS206 or PHYS216) or (MECE102, MECE103 and MECE205) and (MATH182 or MATH172 or MATH182A) or equivalent courses. Grades of C or better are required in all prerequisite courses.) Lec/Lab 6 (Fall, Spring). 
4 
General Education – Ethical Perspective 
3  
Third Year  
EEEE353  Linear Systems Linear Systems provides the foundations of continuous and discrete signal and system analysis and modeling. Topics include a description of continuous linear systems via differential equations, a description of discrete systems via difference equations, inputoutput relationship of continuous and discrete linear systems, the continuous time convolution integral, the discrete time convolution sum, application of convolution principles to system response calculations, exponential and trigonometric forms of Fourier series and their properties, Fourier transforms including energy spectrum and energy spectral density. Sampling of continuous time signals and the sampling theorem, the Laplace, Z and DTFT. The solution of differential equations and circuit analysis problems using Laplace transforms, transfer functions of physical systems, block diagram algebra and transfer function realization is also covered. A comprehensive study of the z transform and its inverse, which includes system transfer function concepts, system frequency response and its interpretation, and the relationship of the z transform to the Fourier and Laplace transform is also covered. Finally, an introduction to the design of digital filters, which includes filter block diagrams for Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters is introduced. (Prerequisites: EEEE282 and MATH231 and CMPR271 or equivalent course.) Lecture 4 (Fall, Spring). 
4 
EEEE374  EM Fields and Transmission Lines The course provides the foundations to time varying Electromagnetic (EM) fields, and is a study of propagation, reflection and transmissions of electromagnetic waves in unbounded regions and in transmission lines. Topics include the following: Maxwell’s equations for time varying fields, time harmonic EM fields, wave equation, uniform plane waves, polarization, Poynting theorem and power, reflection and transmission in multiple dielectrics at normal incidence and at oblique incidence, TEM wave in transmission lines, transients on transmission lines, pulse and step excitations, resistive, reactive and complex loads, sinusoidal steady state solutions, standing waves, input impedance, the Smith Chart, power and power division and impedance matching techniques, TE and TM waves in rectangular waveguides, experiments using stateofart RF equipment illustrating fundamental wave propagation and reflection concepts, design projects with stateofart EM modeling tools. (Prerequisites: MATH221 and MATH231 and PHYS212 or PHYS208 and PHYS209 or equivalent course.) Lab 3, Lecture 4 (Fall, Spring). 
4 
EEEE380  Digital Electronics This is an introductory course in digital MOS circuit analysis and design. The course covers the following topics: (1) MOSFET IV behavior in aggressively scaled devices; (2) Static and dynamic characteristics of NMOS and CMOS inverters; (3) Combinational and sequential logic networks using CMOS technology; (4) Dynamic CMOS logic networks, including prechargeevaluate, domino and transmission gate circuits; (5) Special topics, including static and dynamic MOS memory, and interconnect RLC behavior. (Prerequisites: EEEE281 or equivalent course.) Lab 3, Lecture 3 (Fall, Spring, Summer). 
3 
EEEE499  Coop (fall and summer) One semester of paid work experience in electrical engineering. (This course is restricted to EEEEBS Major students.) CO OP (Fall, Spring, Summer). 
0 
MATH381  Complex Variables This course covers the algebra of complex numbers, analytic functions, CauchyRiemann equations, complex integration, Cauchy's integral theorem and integral formulas, Taylor and Laurent series, residues, and the calculation of realvalued integrals by complexvariable methods. (Prerequisites: MATH219 or MATH221 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
General Education – Immersion 
3  
Fourth Year  
EEEE414  Classical Control This course introduces students to the study of linear continuoustime classical control systems, their behavior, design, and use in augmenting engineering system performance. The course is based on classical control methods using Laplacetransforms, blockdiagrams, rootlocus, and frequencydomain analysis. Topics include: Laplacetransform review; Bode plot review; system modeling for control; relationships of transferfunction poles and zeros to timeresponse behaviors; stability analysis; steadystate error, error constants, and error specification; feedback control properties; relationships between stability margins and transient behavior; lead, lag, and PID control; rootlocus analysis and design; frequencyresponse design and Nyquist stability. A laboratory will provide students with handson analysis and designbuildtest experience, and includes the use of computeraided design software such as MATLAB. (Prerequisites: EEEE353 or equivalent course.) Lab 3, Lecture 3 (Fall, Spring). 
3 
EEEE420  Embedded Systems Design The purpose of this course is to expose students to both the hardware and the software components of a digital embedded system. It focuses on the boundary between hardware and software operations. The elements of microcomputer architecture are presented, including a detailed discussion of the memory, inputoutput, the central processing unit (CPU) and the busses over which they communicate. C and assembly language level programming concepts are introduced, with an emphasis on the manipulation of microcomputer system elements through software means. Efficient methods for designing and developing C and assembly language programs are presented. Concepts of program controlled input and output are studied in detail and reinforced with extensive handson lab exercises involving both software and hardware, handson experience. (Prerequisites: EEEE220 or equivalent course.) Lab 3, Lecture 3 (Fall, Spring). 
3 
EEEE480  Analog Electronics This is an introductory course in analog electronic circuit analysis and design. The course covers the following topics: (1) Diode circuit DC and smallsignal behavior, including rectifying as well as Zenerdiodebased voltage regulation; (2) MOSFET currentvoltage characteristics; (3) DC biasing of MOSFET circuits, including integratedcircuit current sources; (4) Smallsignal analysis of singletransistor MOSFET amplifiers and differential amplifiers; (5) Multistage MOSFET amplifiers, such as cascade amplifiers, and operational amplifiers; (6) Frequency response of MOSFETbased single and multistage amplifiers; (7) DC and smallsignal analysis and design of bipolar junction transistor (BJT) devices and circuits; (8) Feedback and stability in MOSFET and BJT amplifiers. (Prerequisites: EEEE281 and EEEE282 and EEEE499 or equivalent courses.) Lab 3, Lecture 4 (Fall, Spring). 
4 
EEEE499  Coop (spring and summer) One semester of paid work experience in electrical engineering. (This course is restricted to EEEEBS Major students.) CO OP (Fall, Spring, Summer). 
0 
MATH251  Probability and Statistics This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH173 or MATH182 or MATH 182A or equivalent course.) Lecture 3, Recitation 1 (Fall, Spring, Summer). 
3 
Open Elective 
3  
Fifth Year  
EEEE484  Communication Systems (WIPR) Introduction to Communication Systems provides the basics of the formation, transmission and reception of information over communication channels. Spectral density and correlation descriptions for deterministic and stationary random signals. Amplitude and angle modulation methods (e.g. AM and FM) for continuous signals. Carrier detection and synchronization. Phaselocked loop and its application. Introduction to digital communication. Binary ASK, FSK and PSK. Noise effects. Optimum detection: matched filters, maximumlikelihood reception. Computer simulation. (Prerequisites: EEEE353 and (MATH251 or 1016345) or equivalent course.) Lab 3, Lecture 3 (Fall, Spring). 
3 
EEEE497  Multidisciplinary Senior Design I This is the first in a twocourse sequence oriented to the solution of realworld engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow a systems engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, developing the details of the design, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. This first course focuses primarily on defining the problem and developing the design, but may include elements of build/ implementation. The second course may include elements of design, but focuses on build/implementation and communicating information about the final design. (Prerequisites: EEEE374 and EEEE414 and EEEE420 and EEEE480 and two coops (EEEE499).) Lecture 3 (Fall, Spring). 
3 
EEEE498  Multidisciplinary Senior Design II This is the second in a twocourse sequence oriented to the solution of realworld engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow a systems engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, developing the details of the design, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. This first course focuses primarily on defining the problem and developing the design, but may include elements of build/implementation. The second course may include elements of design, but focuses on build/implementation and communicating information about the final design. (Prerequisites: EEEE497 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
Professional Electives 
9  
General Education – Immersion 2, 3 
6  
Open Electives 
6  
Total Semester Credit Hours  129 
Please see General Education Curriculum (GE) for more information.
(WIPR) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
Professional Options
Students who elect to pursue a Professional Option may use any combination of Open and Professional Electives to complete one of the options listed below:
Artificial Intelligence
Required Courses  
EEEE447  Introduction to Artificial Intelligence The courses will introduce Artificial Intelligence and Machine Learning topics with practical examples of data, tools, and algorithms. In addition to C, C++, and Matlab, a scripting language (i.e. Python) will be used and taught throughout the course. The course will explore basic artificial intelligence techniques and their applications to engineering problems. Students will be introduced to the following AI foundations: probability and linear algebra, state spaces, algorithms, data processing, feature extraction, feature reduction, classification, and decision making. Some of the techniques and tools to be covered in this course are inference, regression, linear discriminant analysis, decision trees, neural networks, deep learning platforms and architectures, and reinforcement learning. Students are expected to have any of the following programming skills: C/C++, Matlab, Java, or any other high level programming language. (Prerequisites: CMPR271 and EEEE346 or equivalent courses.) Lab 2, Lecture 3 (Fall). 
EEEE547  Artificial Intelligence Explorations The course will start with the history of artificial intelligence and its development over the years. There have been many attempts to define and generate artificial intelligence. As a result of these attempts, many artificial intelligence techniques have been developed and applied to solve real life problems. This course will explore variety of artificial intelligence techniques, and their applications and limitations. Some of the AI techniques to be covered in this course are intelligent agents, problemsolving, knowledge and reasoning, uncertainty, decision making, learning (Neural networks and Bayesian networks), reinforcement learning, swarm intelligence, Genetic algorithms, particle swarm optimization, applications in robotics, controls, and communications. Students are expected to have any of the following programming skills listed above. Students will write an IEEE conference paper. (Students in EEEEBS/MS must take 600 or 700 level course not 500 level course.) Lecture 3 (Fall). 
EEEE536  Biorobotics/Cybernetics Cybernetics refers to the science of communication and control theory that is concerned especially with the comparative study of automatic control systems (as in the nervous system and brain and mechanical electrical communications systems). This course will present material related to the study of cybernetics as well as the aspects of robotics and controls associated with applications of a biological nature. Topics will also include the study of various paradigms and computational methods that can be utilized to achieve the successful integration of robotic mechanisms in a biological setting. Successful participation in the course will entail completion of at least one project involving incorporation of these techniques in a biomedical application. (Students in EEEEBS/MS must take 600 or 700 level course not 500 level course.) Lab 2, Lecture 3 (Spring). 
Clean and Renewable Energy
Required Courses  
EEEE221  Clean & Renewable Energy Systems & Sources This course covers the first principles and fundamentals of clean and renewable energy systems and sources. Various quantummechanical and electromagnetic devices and systems will be analyzed, designed and examined using software and CAD tools. Topics include: geothermal, hydro, nuclear, solar, wind, and other energy sources. Societal, ethical, economical, and environmental aspects of nanotechnologyenabled clean energy and power are also discussed. (Corequisite: PHYS212 or equivalent course.) Lecture 3 (Fall). 
EEEE321  Energy Conversion This course covers: 1) the first principles and fundamentals of energy conversion: 2) The fundamentals of electromechanical, related electromagnetic topics, electric variables and electromagnetic forces. The basic concepts of energy conversion systems, DC electric machines, induction & synchronous electric machines (motors & generators) used in power systems, automotive, industrial, robotics and other applications are presented. The theory of energy conversion and electromechanical motion devices are covered. (Prerequisites: EEEE282 or equivalent course.) Lecture 3 (Fall). 
EEEE522  Electric Power Transmission & Distribution This course deals with the topics related to electric power transmission and distribution. Topics covered in this course include: Three Phase System – Wye and Delta connections, Transformers – equivalent circuit –performance characteristics, Balanced and Unbalanced System Analysis, Transmission and Distribution Line Design Considerations, Transmission Line Protection, Transmission Line Faults and Fault Analysis. (Prerequisites: EEEE282 or equivalent course.) Lecture 3 (Fall). 
EEEE546  Power Electronics The course involves the study of the circuits and devices used in the control and conversion of power. Devices include diodes, BJTs, power MOSFETS, IGBTs and thyristors. Power conversion includes rectifiers (acdc) , dcdc, acac and inverters (dcac). DC circuit topologies include Buck Converter, Boost Converter, BuckBoost Converter, and the Cuk converter. (Prerequisites: EEEE282 or equivalent course.) Lab 2, Lecture 3 (Spring). 
Computer Engineering
Required Courses  
EEEE520  Design of Digital Systems The purpose of this course is to expose students to complete, custom design of a CMOS digital system. It emphasizes equally analytical and CAD based design methodologies, starting at the highest level of abstraction (RTL, frontend)), and down to the physical implementation level (backend). In the lab students learn how to capture a design using both schematic and hardware description languages, how to synthesize a design, and how to custom layout a design. Testing, debugging, and verification strategies are formally introduced in the lecture, and practically applied in the lab projects. (Prerequisites: EEEE420 and EEEE480 or equivalent courses and not in EEEEBS/MS program. Students in EEEEBS/MS must take 600 or 700 level course.) Lab 3, Lecture 3 (Fall, Spring). 
EEEE521  Design of Computer Systems The purpose of this course is to expose students to the design of single and multicore computer systems. The lectures cover the design principles of instructions set architectures, nonpipelined data paths, control unit, pipelined data paths, hierarchical memory (cache), and multicore processors. The design constraints and the interdependencies of computer systems building blocks are being presented. The operation of single core, multicore, vector, VLIW, and EPIC processors is explained. In the first half of the semester, the lab projects enforce the material presented in the lectures through the design and physical emulation of a pipelined, single core processor. This is then being used in the second half of the semester to create a multicore computer system. The importance of hardware & software codesign is emphasized throughout the course. (Prerequisites: EEEE420 or equivalent course.) Lab 2, Lecture 3 (Fall). 
EE/CE/CS Restricted Elective 
Robotics
Required Courses  
EEEE485  Robotic Systems This course will cover basic electrical and mechanical engineering topics related to Robotics, including but not limited to: basic electrical and electronics components (resistors, capacitors, inductors, diodes, transistors, opamps, timers) and concepts (sensors, signal conditioning, oscillators) and basic mechanical components (chains, gears, ratchets and pawl belt and chain drives, bearing) and concepts (motion, dynamics equations, and force and torque analysis). In addition, robotics system modeling, control, and applications will be explored. Students will design electronic interfaces and controllers for mechanical devices. Finally, sensor and actuator selection, installation, and application strategies will be explored. (Prerequisites: EEEE346 or equivalent course.) Lab 3, Lecture 3 (Fall). 
EEEE585  Principles of Robotics An introduction to a wide range of roboticsrelated topics, including but not limited to sensors, interface design, robot devices applications, mobile robots, intelligent navigation, task planning, coordinate systems and positioning image processing, digital signal processing applications on robots, and controller circuitry design. Prerequisite for the class is a basic understanding of signals and systems, matrix theory, and computer programming. Software assignments will be given to the students in robotic applications. Students will prepare a project, in which they will complete software or hardware design of an industrial or mobile robot. There will be a twohour lab additional to the lectures. (Prerequisites: EEEE353 or equivalent course and not in EEEEBS/MS program. Students in EEEEBS/MS must take 600 or 700 level course.) Lab 3, Lecture 3 (Fall). 
EEEE784  Advanced Robotics This course explores advance topics in mobile robots and manipulators. Mobile robot navigation, path planning, room mapping, autonomous navigation are the main mobile robot topics. In addition, dynamic analysis of manipulators, forces and trajectory planning of manipulators, and novel methods for inverse kinematics and control of manipulators will also be explored. The prerequisite for this course is Principles of Robotics. However, students would have better understanding of the topics if they had Control Systems and Mechatronics courses as well. The course will be a project based course requiring exploration of a novel area in Robotics and writing an IEEE conference level paper. (Prerequisites: EEEE585 or EEEE685 or equivalent course.) Lab 2, Lecture 3 (Spring). 
Combined Accelerated Bachelor’s/Master’s Degrees
The curriculum below outlines the typical course sequence(s) for combined accelerated degrees available with this bachelor's degree.
Electrical Engineering, BS/MS degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
CHMG131  General Chemistry for Engineers This rigorous course is primarily for, but not limited to, engineering students. Topics include an introduction to some basic concepts in chemistry, stoichiometry, First Law of Thermodynamics, thermochemistry, electronic theory of composition and structure, and chemical bonding. The lecture is supported by workshopstyle problem sessions. Offered in traditional and online format. Lecture 3 (Fall, Spring). 
3 
EEEE105  Freshman Practicum EE Practicum provides an introduction to the practice of electrical engineering including understanding laboratory practice, identifying electronic components, operating electronic test and measurement instruments, prototyping electronic circuits, and generating and analyzing waveforms. Laboratory exercises introduce the student to new devices or technologies and an associated application or measurement technique. This handson lab course emphasizes experiential learning to introduce the student to electrical engineering design practices and tools used throughout the undergraduate electrical engineering program and their professional career. Laboratory exercises are conducted individually by students using their own breadboard and components in a test and measurement laboratory setting. Measurements and observations from the laboratory exercises are recorded and presented by the student to a lab instructor or teaching assistant. Documented results are uploaded for assessment. Lab 1, Lecture 1 (Fall, Spring). 
1 
EEEE120  Digital Systems I This course introduces the student to the basic components and methodologies used in digital systems design. It is usually the student's first exposure to engineering design. The laboratory component consists of small design, implement, and debug projects. The complexity of these projects increases steadily throughout the term, starting with circuits of a few gates, until small systems containing several tens of gates and memory elements. Topics include: Boolean algebra, synthesis and analysis of combinational logic circuits, arithmetic circuits, memory elements, synthesis and analysis of sequential logic circuits, finite state machines, and data transfers. (This course is restricted to MCEEBS, EEEEBS and ENGRXUND students.) Lab 2, Lecture 3 (Fall, Spring). 
3 
MATH181  Calculus I (General Education – Mathematical Perspective A) This is the first in a twocourse sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisites: MATH111 or (NMTH220 and NMTH260 or NMTH272 or NMTH275) or equivalent courses with a minimum grade of B, or a score of at least 60% on the RIT Mathematics Placement Exam.
Corequisites: MATH181R or equivalent course.) Lecture 6 (Fall, Spring). 
4 
MATH182  Calculus II (General Education – Mathematical Perspective B) This is the second in a twocourse sequence. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C or better in MATH181 or MATH181A or equivalent course.) Lecture 6 (Fall, Spring). 
4 
PHYS211  University Physics I (General Education – Scientific Principles Perspective) This is a course in calculusbased physics for science and engineering majors. Topics include kinematics, planar motion, Newton's Laws, gravitation, work and energy, momentum and impulse, conservation laws, systems of particles, rotational motion, static equilibrium, mechanical oscillations and waves, and data presentation/analysis. The course is taught in a workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: C or better in MATH181 or equivalent course. Corequisites: MATH182 or equivalent course.) Lec/Lab 6 (Fall, Spring). 
4 
YOPS10  RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their firstyear experiences, receive feedback, and develop a personal plan for future action in order to develop foundational selfawareness and recognize broadbased professional competencies. (This class is restricted to incoming 1st year or global campus students.) Lecture 1 (Fall, Spring). 
0 
General Education – Elective 
3  
First Year Writing (WI) (General Education) 
3  
General Education – Artistic Perspective 
3  
General Education – Global Perspective 
3  
General Education – Social Perspective 
3  
Second Year  
CMPR271  Computational Problem Solving for Engineers This course introduces computational problem solving. Basic problemsolving techniques and algorithm development through the process of topdown stepwise refinement and functional decomposition are introduced throughout the course. Classical numerical problems encountered in science and engineering are used to demonstrate the development of algorithms and their implementations. May not be taken for credit by Computer Science, Software Engineering, or Computer Engineering majors. This course is designed for Electrical Engineering and MicroElectronic Engineering majors and students interested in the Electrical Engineering minor. (Prerequisites: (MATH181 or MATH181A or MATH171) and (MCEEBS or EEEEBS or ENGRXUND or EEEEDUBS or ENGXDUUND) or equivalent courses.) Lecture 3 (Fall, Spring). 
3 
EGEN099  Engineering Coop Preparation This course will prepare students, who are entering their second year of study, for both the job search and employment in the field of engineering. Students will learn strategies for conducting a successful job search, including the preparation of resumes and cover letters; behavioral interviewing techniques and effective use of social media in the application process. Professional and ethical responsibilities during the job search and for coop and subsequent professional experiences will be discussed. (This course is restricted to students in Kate Gleason College of Engineering with at least 2nd year standing.) Lecture 1 (Fall, Spring). 
0 
EEEE220  Digital Systems II In the first part, the course covers the design of digital systems using a hardware description language. In the second part, it covers the design of large digital systems using the computer design methodology, and culminates with the design of a reduced instruction set central processing unit, associated memory and input/output peripherals. The course focuses on the design, capture, simulation, and verification of major hardware components such as: the datapath, the control unit, the central processing unit, the system memory, and the I/O modules. The lab sessions enforce and complement the concepts and design principles exposed in the lecture through the use of CAD tools and emulation in a commercial FPGA. This course assumes a background in C programming. (Prerequisites: (EEEE120 or 0306341) and CMPR271 or equivalent courses.) Lab 2, Lecture 3 (Fall, Spring). 
3 
EEEE260  Introduction to Semiconductor Devices An introductory course on the fundamentals of semiconductor physics and principles of operation of basic devices. Topics include semiconductor fundamentals (crystal structure, statistical physics of carrier concentration, motion in crystals, energy band models, drift and diffusion currents) as well as the operation of pn junction diodes, bipolar junction transistors (BJT), metaloxidesemiconductor (MOS) capacitors and MOS fieldeffect transistors. (Prerequisites: PHYS212 or PHYS208 and 209 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
EEEE281  Circuits I Covers basics of DC circuit analysis starting with the definition of voltage, current, resistance, power and energy. Linearity and superposition, together with Kirchhoff's laws, are applied to analysis of circuits having series, parallel and other combinations of circuit elements. Thevenin, Norton and maximum power transfer theorems are proved and applied. Circuits with ideal opamps are introduced. Inductance and capacitance are introduced and the transient response of RL, RC and RLC circuits to step inputs is established. Practical aspects of the properties of passive devices and batteries are discussed, as are the characteristics of batterypowered circuitry. The laboratory component incorporates use of both computer and manually controlled instrumentation including power supplies, signal generators and oscilloscopes to reinforce concepts discussed in class as well as circuit design and simulation software. (Prerequisite: MATH173 or MATH182 or MATH182A or equivalent course.) Lab 3, Lecture 3 (Fall, Spring, Summer). 
3 
EEEE281R  Circuits I Recitation 
0 
EEEE282  Circuits II This course covers the fundamentals of AC circuit analysis starting with the study of sinusoidal steadystate solutions for circuits in the time domain. The complex plane is introduced along with the concepts of complex exponential functions, phasors, impedances and admittances. Nodal, loop and mesh methods of analysis as well as Thevenin and related theorems are applied to the complex plane. The concept of complex power is developed. The analysis of mutual induction as applied to coupledcoils. Linear, ideal and nonideal transformers are introduced. Complex frequency analysis is introduced to enable discussion of transfer functions, frequency dependent behavior, Bode plots, resonance phenomenon and simple filter circuits. Twoport network theory is developed and applied to circuits and interconnections. (Prerequisites: C or better in EEEE281 or equivalent course.) Lecture 3, Recitation 2 (Fall, Spring, Summer). 
3 
EEEE346  Advanced Programming This course teaches students to master C++ programming in solving engineering problems and introduces students to basic concepts of objectoriented programming. Advanced skills of applying pointers will be emphasized throughout the course so as to improve the portability and efficiency of the programs. Advanced skills of preprocessors, generic functions, linked list, and the use of Standard Template Library will be developed. (Prerequisites: CMPR271 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
MATH221  Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vectorvalued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH219. (Prerequisite: C or better MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). 
4 
MATH231  Differential Equations (General Education – Elective) This course is an introduction to the study of ordinary differential equations and their applications. Topics include solutions to first order equations and linear second order equations, method of undetermined coefficients, variation of parameters, linear independence and the Wronskian, vibrating systems, and Laplace transforms. (Prerequisite: MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 3, Recitation 1 (Fall, Spring, Summer). 
3 
PHYS212  University Physics II (General Education – Natural Science Inquiry Perspective) This course is a continuation of PHYS211, University Physics I. Topics include electrostatics, Gauss' law, electric field and potential, capacitance, resistance, DC circuits, magnetic field, Ampere's law, inductance, and geometrical and physical optics. The course is taught in a lecture/workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: (PHYS211 or PHYS211A or PHYS206 or PHYS216) or (MECE102, MECE103 and MECE205) and (MATH182 or MATH172 or MATH182A) or equivalent courses. Grades of C or better are required in all prerequisite courses.) Lec/Lab 6 (Fall, Spring). 
4 
General Education – Ethical Perspective 
3  
Third Year  
EEEE353  Linear Systems Linear Systems provides the foundations of continuous and discrete signal and system analysis and modeling. Topics include a description of continuous linear systems via differential equations, a description of discrete systems via difference equations, inputoutput relationship of continuous and discrete linear systems, the continuous time convolution integral, the discrete time convolution sum, application of convolution principles to system response calculations, exponential and trigonometric forms of Fourier series and their properties, Fourier transforms including energy spectrum and energy spectral density. Sampling of continuous time signals and the sampling theorem, the Laplace, Z and DTFT. The solution of differential equations and circuit analysis problems using Laplace transforms, transfer functions of physical systems, block diagram algebra and transfer function realization is also covered. A comprehensive study of the z transform and its inverse, which includes system transfer function concepts, system frequency response and its interpretation, and the relationship of the z transform to the Fourier and Laplace transform is also covered. Finally, an introduction to the design of digital filters, which includes filter block diagrams for Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters is introduced. (Prerequisites: EEEE282 and MATH231 and CMPR271 or equivalent course.) Lecture 4 (Fall, Spring). 
4 
EEEE374  EM Fields and Transmission Lines The course provides the foundations to time varying Electromagnetic (EM) fields, and is a study of propagation, reflection and transmissions of electromagnetic waves in unbounded regions and in transmission lines. Topics include the following: Maxwell’s equations for time varying fields, time harmonic EM fields, wave equation, uniform plane waves, polarization, Poynting theorem and power, reflection and transmission in multiple dielectrics at normal incidence and at oblique incidence, TEM wave in transmission lines, transients on transmission lines, pulse and step excitations, resistive, reactive and complex loads, sinusoidal steady state solutions, standing waves, input impedance, the Smith Chart, power and power division and impedance matching techniques, TE and TM waves in rectangular waveguides, experiments using stateofart RF equipment illustrating fundamental wave propagation and reflection concepts, design projects with stateofart EM modeling tools. (Prerequisites: MATH221 and MATH231 and PHYS212 or PHYS208 and PHYS209 or equivalent course.) Lab 3, Lecture 4 (Fall, Spring). 
4 
EEEE380  Digital Electronics This is an introductory course in digital MOS circuit analysis and design. The course covers the following topics: (1) MOSFET IV behavior in aggressively scaled devices; (2) Static and dynamic characteristics of NMOS and CMOS inverters; (3) Combinational and sequential logic networks using CMOS technology; (4) Dynamic CMOS logic networks, including prechargeevaluate, domino and transmission gate circuits; (5) Special topics, including static and dynamic MOS memory, and interconnect RLC behavior. (Prerequisites: EEEE281 or equivalent course.) Lab 3, Lecture 3 (Fall, Spring, Summer). 
3 
EEEE499  Coop (fall and summer) One semester of paid work experience in electrical engineering. (This course is restricted to EEEEBS Major students.) CO OP (Fall, Spring, Summer). 
0 
MATH381  Complex Variables This course covers the algebra of complex numbers, analytic functions, CauchyRiemann equations, complex integration, Cauchy's integral theorem and integral formulas, Taylor and Laurent series, residues, and the calculation of realvalued integrals by complexvariable methods. (Prerequisites: MATH219 or MATH221 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
General Education – Immersion 1 
3  
Fourth Year  
EEEE414  Classical Control This course introduces students to the study of linear continuoustime classical control systems, their behavior, design, and use in augmenting engineering system performance. The course is based on classical control methods using Laplacetransforms, blockdiagrams, rootlocus, and frequencydomain analysis. Topics include: Laplacetransform review; Bode plot review; system modeling for control; relationships of transferfunction poles and zeros to timeresponse behaviors; stability analysis; steadystate error, error constants, and error specification; feedback control properties; relationships between stability margins and transient behavior; lead, lag, and PID control; rootlocus analysis and design; frequencyresponse design and Nyquist stability. A laboratory will provide students with handson analysis and designbuildtest experience, and includes the use of computeraided design software such as MATLAB. (Prerequisites: EEEE353 or equivalent course.) Lab 3, Lecture 3 (Fall, Spring). 
3 
EEEE420  Embedded Systems Design The purpose of this course is to expose students to both the hardware and the software components of a digital embedded system. It focuses on the boundary between hardware and software operations. The elements of microcomputer architecture are presented, including a detailed discussion of the memory, inputoutput, the central processing unit (CPU) and the busses over which they communicate. C and assembly language level programming concepts are introduced, with an emphasis on the manipulation of microcomputer system elements through software means. Efficient methods for designing and developing C and assembly language programs are presented. Concepts of program controlled input and output are studied in detail and reinforced with extensive handson lab exercises involving both software and hardware, handson experience. (Prerequisites: EEEE220 or equivalent course.) Lab 3, Lecture 3 (Fall, Spring). 
3 
EEEE480  Analog Electronics This is an introductory course in analog electronic circuit analysis and design. The course covers the following topics: (1) Diode circuit DC and smallsignal behavior, including rectifying as well as Zenerdiodebased voltage regulation; (2) MOSFET currentvoltage characteristics; (3) DC biasing of MOSFET circuits, including integratedcircuit current sources; (4) Smallsignal analysis of singletransistor MOSFET amplifiers and differential amplifiers; (5) Multistage MOSFET amplifiers, such as cascade amplifiers, and operational amplifiers; (6) Frequency response of MOSFETbased single and multistage amplifiers; (7) DC and smallsignal analysis and design of bipolar junction transistor (BJT) devices and circuits; (8) Feedback and stability in MOSFET and BJT amplifiers. (Prerequisites: EEEE281 and EEEE282 and EEEE499 or equivalent courses.) Lab 3, Lecture 4 (Fall, Spring). 
4 
EEEE484  Communication Systems (WIPR) Introduction to Communication Systems provides the basics of the formation, transmission and reception of information over communication channels. Spectral density and correlation descriptions for deterministic and stationary random signals. Amplitude and angle modulation methods (e.g. AM and FM) for continuous signals. Carrier detection and synchronization. Phaselocked loop and its application. Introduction to digital communication. Binary ASK, FSK and PSK. Noise effects. Optimum detection: matched filters, maximumlikelihood reception. Computer simulation. (Prerequisites: EEEE353 and (MATH251 or 1016345) or equivalent course.) Lab 3, Lecture 3 (Fall, Spring). 
3 
EEEE497  Multidisciplinary Senior Design I This is the first in a twocourse sequence oriented to the solution of realworld engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow a systems engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, developing the details of the design, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. This first course focuses primarily on defining the problem and developing the design, but may include elements of build/ implementation. The second course may include elements of design, but focuses on build/implementation and communicating information about the final design. (Prerequisites: EEEE374 and EEEE414 and EEEE420 and EEEE480 and two coops (EEEE499).) Lecture 3 (Fall, Spring). 
3 
EEEE499  Coop (summer) One semester of paid work experience in electrical engineering. (This course is restricted to EEEEBS Major students.) CO OP (Fall, Spring, Summer). 
0 
EEEE602  Random Signals and Noise In this course the student is introduced to random variables and stochastic processes. Topics covered are probability theory, conditional probability and Bayes theorem, discrete and continuous random variables, distribution and density functions, moments and characteristic functions, functions of one and several random variables, Gaussian random variables and the central limit theorem, estimation theory , random processes, stationarity and ergodicity, auto correlation, crosscorrelation and power spectrum density, response of linear prediction, Wiener filtering, elements of detection, matched filters. (Prerequisites: This course is restricted to graduate students in the EEEEMS, EEEEBS/MS program.) Lecture 3, Recitation 1 (Fall, Spring). 
3 
EEEE707  Engineering Analysis The course trains students to utilize mathematical techniques from an engineering perspective, and provides essential background for success in graduate level studies. The course begins with a pertinent review of matrices, transformations, partitions, determinants and various techniques to solve linear equations. It then transitions to linear vector spaces, basis definitions, normed and inner vector spaces, orthogonality, eigenvalues/eigenvectors, diagonalization, state space solutions and optimization. Applications of linear algebra to engineering problems are examined throughout the course. Topics include: Matrix algebra and elementary matrix operations, special matrices, determinants, matrix inversion, null and column spaces, linear vector spaces and subspaces, span, basis/change of basis, normed and inner vector spaces, projections, GramSchmidt/QR factorizations, eigenvalues and eigenvectors, matrix diagonalization, Jordan canonical forms, singular value decomposition, functions of matrices, matrix polynomials and CayleyHamilton theorem, statespace modeling, optimization techniques, least squares technique, total least squares, and numerical techniques. Electrical engineering applications will be discussed throughout the course. (Prerequisites: This course is restricted to graduate students in the EEEEMS, EEEEBS/MS program.) Lecture 3 (Fall, Spring). 
3 
EEEE795  Graduate Seminar The objective of this course is to introduce full time Electrical Engineering BS/MS and incoming graduate students to the graduate programs, campus resources to support research. Presentations from faculty, upper division MS/PhD students, staff, and off campus speakers will provide a basis for student selection of research topics, comprehensive literature review, and modeling effective conduct and presentation of research. All first year graduate students enrolled full time are required to successfully complete two semesters of this seminar. Seminar 3 (Fall, Spring). 
0 
MATH251  Probability and Statistics This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH173 or MATH182 or MATH 182A or equivalent course.) Lecture 3, Recitation 1 (Fall, Spring, Summer). 
3 
General Education – Immersion 2 
3  
Open Elective 
3  
Fifth Year  
EEEE498  Multidisciplinary Senior Design II This is the second in a twocourse sequence oriented to the solution of realworld engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow a systems engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, developing the details of the design, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. This first course focuses primarily on defining the problem and developing the design, but may include elements of build/implementation. The second course may include elements of design, but focuses on build/implementation and communicating information about the final design. (Prerequisites: EEEE497 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
EEEE709  Advanced Engineering Mathematics The course begins with a pertinent review of linear and nonlinear ordinary differential equations and Laplace transforms and their applications to solving engineering problems. It then continues with an indepth study of vector calculus, complex analysis/integration, and partial differential equations; and their applications in analyzing and solving a variety of engineering problems especially in the areas of control, circuit analysis, communication, and signal/image processing. Topics include: ordinary and partial differential equations, Laplace transforms, vector calculus, complex functions/analysis, complex integration, and numerical techniques. Electrical engineering applications will be discussed throughout the course. (This class is restricted to degreeseeking graduate students or those with permission from instructor.) Lecture 3 (Fall, Spring, Summer). 
3 
Choose one of the following:  6 

EEEE790  Thesis An independent engineering project or research problem to demonstrate professional maturity. A formal written thesis and an oral defense are required. The student must obtain the approval of an appropriate faculty member to guide the thesis before registering for the thesis. A thesis may be used to earn a maximum of 6 credits. Thesis (Fall, Spring, Summer). 

EEEE792  Graduate Paper plus 1 Graduate Elective This course is used to fulfill the graduate paper requirement under the nonthesis option for the MS degree in electrical engineering. The student must obtain the approval of an appropriate faculty member to supervise the paper before registering for this course. Project (Fall, Spring, Summer). 

EEEE795  Graduate Seminar The objective of this course is to introduce full time Electrical Engineering BS/MS and incoming graduate students to the graduate programs, campus resources to support research. Presentations from faculty, upper division MS/PhD students, staff, and off campus speakers will provide a basis for student selection of research topics, comprehensive literature review, and modeling effective conduct and presentation of research. All first year graduate students enrolled full time are required to successfully complete two semesters of this seminar. Seminar 3 (Fall, Spring). 
0 
Open Elective 
6  
Professional Electives 
9  
Graduate Electives 
6  
General Education – Immersion 3 
3  
Total Semester Credit Hours  150 
Please see General Education Curriculum (GE) for more information.
(WIPR) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
Electrical Engineering, BS degree/Science, Technology and Public Policy, MS degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
CHMG131  General Chemistry for Engineers This rigorous course is primarily for, but not limited to, engineering students. Topics include an introduction to some basic concepts in chemistry, stoichiometry, First Law of Thermodynamics, thermochemistry, electronic theory of composition and structure, and chemical bonding. The lecture is supported by workshopstyle problem sessions. Offered in traditional and online format. Lecture 3 (Fall, Spring). 
3 
EEEE105  Freshman Practicum EE Practicum provides an introduction to the practice of electrical engineering including understanding laboratory practice, identifying electronic components, operating electronic test and measurement instruments, prototyping electronic circuits, and generating and analyzing waveforms. Laboratory exercises introduce the student to new devices or technologies and an associated application or measurement technique. This handson lab course emphasizes experiential learning to introduce the student to electrical engineering design practices and tools used throughout the undergraduate electrical engineering program and their professional career. Laboratory exercises are conducted individually by students using their own breadboard and components in a test and measurement laboratory setting. Measurements and observations from the laboratory exercises are recorded and presented by the student to a lab instructor or teaching assistant. Documented results are uploaded for assessment. Lab 1, Lecture 1 (Fall, Spring). 
1 
EEEE120  Digital Systems I This course introduces the student to the basic components and methodologies used in digital systems design. It is usually the student's first exposure to engineering design. The laboratory component consists of small design, implement, and debug projects. The complexity of these projects increases steadily throughout the term, starting with circuits of a few gates, until small systems containing several tens of gates and memory elements. Topics include: Boolean algebra, synthesis and analysis of combinational logic circuits, arithmetic circuits, memory elements, synthesis and analysis of sequential logic circuits, finite state machines, and data transfers. (This course is restricted to MCEEBS, EEEEBS and ENGRXUND students.) Lab 2, Lecture 3 (Fall, Spring). 
3 
MATH181  Calculus I (General Education – Mathematical Perspective A) This is the first in a twocourse sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisites: MATH111 or (NMTH220 and NMTH260 or NMTH272 or NMTH275) or equivalent courses with a minimum grade of B, or a score of at least 60% on the RIT Mathematics Placement Exam.
Corequisites: MATH181R or equivalent course.) Lecture 6 (Fall, Spring). 
4 
MATH182  Calculus II ((General Education – Mathematical Perspective B) This is the second in a twocourse sequence. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C or better in MATH181 or MATH181A or equivalent course.) Lecture 6 (Fall, Spring). 
4 
PHYS211  University Physics I (General Education – Scientific Principles Perspective) This is a course in calculusbased physics for science and engineering majors. Topics include kinematics, planar motion, Newton's Laws, gravitation, work and energy, momentum and impulse, conservation laws, systems of particles, rotational motion, static equilibrium, mechanical oscillations and waves, and data presentation/analysis. The course is taught in a workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: C or better in MATH181 or equivalent course. Corequisites: MATH182 or equivalent course.) Lec/Lab 6 (Fall, Spring). 
4 
YOPS010  RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their firstyear experiences, receive feedback, and develop a personal plan for future action in order to develop foundational selfawareness and recognize broadbased professional competencies. (This class is restricted to incoming 1st year or global campus students.) Lecture 1 (Fall, Spring). 
0 
General Education – First Year Writing (WI) 
3  
General Education – Artistic Perspective 
3  
General Education – Global Perspective 
3  
General Education – Social Perspective 
3  
General Education – Elective 
3  
Second Year  
CMPR271  Computational Problem Solving for Engineers This course introduces computational problem solving. Basic problemsolving techniques and algorithm development through the process of topdown stepwise refinement and functional decomposition are introduced throughout the course. Classical numerical problems encountered in science and engineering are used to demonstrate the development of algorithms and their implementations. May not be taken for credit by Computer Science, Software Engineering, or Computer Engineering majors. This course is designed for Electrical Engineering and MicroElectronic Engineering majors and students interested in the Electrical Engineering minor. (Prerequisites: (MATH181 or MATH181A or MATH171) and (MCEEBS or EEEEBS or ENGRXUND or EEEEDUBS or ENGXDUUND) or equivalent courses.) Lecture 3 (Fall, Spring). 
3 
EEEE220  Digital Systems II In the first part, the course covers the design of digital systems using a hardware description language. In the second part, it covers the design of large digital systems using the computer design methodology, and culminates with the design of a reduced instruction set central processing unit, associated memory and input/output peripherals. The course focuses on the design, capture, simulation, and verification of major hardware components such as: the datapath, the control unit, the central processing unit, the system memory, and the I/O modules. The lab sessions enforce and complement the concepts and design principles exposed in the lecture through the use of CAD tools and emulation in a commercial FPGA. This course assumes a background in C programming. (Prerequisites: (EEEE120 or 0306341) and CMPR271 or equivalent courses.) Lab 2, Lecture 3 (Fall, Spring). 
3 
EEEE260  Introduction to Semiconductor Devices An introductory course on the fundamentals of semiconductor physics and principles of operation of basic devices. Topics include semiconductor fundamentals (crystal structure, statistical physics of carrier concentration, motion in crystals, energy band models, drift and diffusion currents) as well as the operation of pn junction diodes, bipolar junction transistors (BJT), metaloxidesemiconductor (MOS) capacitors and MOS fieldeffect transistors. (Prerequisites: PHYS212 or PHYS208 and 209 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
EEEE281  Circuits I Covers basics of DC circuit analysis starting with the definition of voltage, current, resistance, power and energy. Linearity and superposition, together with Kirchhoff's laws, are applied to analysis of circuits having series, parallel and other combinations of circuit elements. Thevenin, Norton and maximum power transfer theorems are proved and applied. Circuits with ideal opamps are introduced. Inductance and capacitance are introduced and the transient response of RL, RC and RLC circuits to step inputs is established. Practical aspects of the properties of passive devices and batteries are discussed, as are the characteristics of batterypowered circuitry. The laboratory component incorporates use of both computer and manually controlled instrumentation including power supplies, signal generators and oscilloscopes to reinforce concepts discussed in class as well as circuit design and simulation software. (Prerequisite: MATH173 or MATH182 or MATH182A or equivalent course.) Lab 3, Lecture 3 (Fall, Spring, Summer). 
3 
EEEE282  Circuits II This course covers the fundamentals of AC circuit analysis starting with the study of sinusoidal steadystate solutions for circuits in the time domain. The complex plane is introduced along with the concepts of complex exponential functions, phasors, impedances and admittances. Nodal, loop and mesh methods of analysis as well as Thevenin and related theorems are applied to the complex plane. The concept of complex power is developed. The analysis of mutual induction as applied to coupledcoils. Linear, ideal and nonideal transformers are introduced. Complex frequency analysis is introduced to enable discussion of transfer functions, frequency dependent behavior, Bode plots, resonance phenomenon and simple filter circuits. Twoport network theory is developed and applied to circuits and interconnections. (Prerequisites: C or better in EEEE281 or equivalent course.) Lecture 3, Recitation 2 (Fall, Spring, Summer). 
3 
EEEE346  Advanced Programming This course teaches students to master C++ programming in solving engineering problems and introduces students to basic concepts of objectoriented programming. Advanced skills of applying pointers will be emphasized throughout the course so as to improve the portability and efficiency of the programs. Advanced skills of preprocessors, generic functions, linked list, and the use of Standard Template Library will be developed. (Prerequisites: CMPR271 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
EGEN099  Engineering Coop Preparation This course will prepare students, who are entering their second year of study, for both the job search and employment in the field of engineering. Students will learn strategies for conducting a successful job search, including the preparation of resumes and cover letters; behavioral interviewing techniques and effective use of social media in the application process. Professional and ethical responsibilities during the job search and for coop and subsequent professional experiences will be discussed. (This course is restricted to students in Kate Gleason College of Engineering with at least 2nd year standing.) Lecture 1 (Fall, Spring). 
0 
MATH221  Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vectorvalued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH219. (Prerequisite: C or better MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). 
4 
MATH231  Differential Equations This course is an introduction to the study of ordinary differential equations and their applications. Topics include solutions to first order equations and linear second order equations, method of undetermined coefficients, variation of parameters, linear independence and the Wronskian, vibrating systems, and Laplace transforms. (Prerequisite: MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 3, Recitation 1 (Fall, Spring, Summer). 
3 
PHYS212  University Physics II (General Education – Natural Science Inquiry Perspective) This course is a continuation of PHYS211, University Physics I. Topics include electrostatics, Gauss' law, electric field and potential, capacitance, resistance, DC circuits, magnetic field, Ampere's law, inductance, and geometrical and physical optics. The course is taught in a lecture/workshop format that integrates the material traditionally found in separate lecture and laboratory courses. (Prerequisites: (PHYS211 or PHYS211A or PHYS206 or PHYS216) or (MECE102, MECE103 and MECE205) and (MATH182 or MATH172 or MATH182A) or equivalent courses. Grades of C or better are required in all prerequisite courses.) Lec/Lab 6 (Fall, Spring). 
4 
General Education – Ethical Perspective 
3  
Third Year  
EEEE353  Linear Systems Linear Systems provides the foundations of continuous and discrete signal and system analysis and modeling. Topics include a description of continuous linear systems via differential equations, a description of discrete systems via difference equations, inputoutput relationship of continuous and discrete linear systems, the continuous time convolution integral, the discrete time convolution sum, application of convolution principles to system response calculations, exponential and trigonometric forms of Fourier series and their properties, Fourier transforms including energy spectrum and energy spectral density. Sampling of continuous time signals and the sampling theorem, the Laplace, Z and DTFT. The solution of differential equations and circuit analysis problems using Laplace transforms, transfer functions of physical systems, block diagram algebra and transfer function realization is also covered. A comprehensive study of the z transform and its inverse, which includes system transfer function concepts, system frequency response and its interpretation, and the relationship of the z transform to the Fourier and Laplace transform is also covered. Finally, an introduction to the design of digital filters, which includes filter block diagrams for Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters is introduced. (Prerequisites: EEEE282 and MATH231 and CMPR271 or equivalent course.) Lecture 4 (Fall, Spring). 
4 
EEEE374  EM Fields and Transmission Lines The course provides the foundations to time varying Electromagnetic (EM) fields, and is a study of propagation, reflection and transmissions of electromagnetic waves in unbounded regions and in transmission lines. Topics include the following: Maxwell’s equations for time varying fields, time harmonic EM fields, wave equation, uniform plane waves, polarization, Poynting theorem and power, reflection and transmission in multiple dielectrics at normal incidence and at oblique incidence, TEM wave in transmission lines, transients on transmission lines, pulse and step excitations, resistive, reactive and complex loads, sinusoidal steady state solutions, standing waves, input impedance, the Smith Chart, power and power division and impedance matching techniques, TE and TM waves in rectangular waveguides, experiments using stateofart RF equipment illustrating fundamental wave propagation and reflection concepts, design projects with stateofart EM modeling tools. (Prerequisites: MATH221 and MATH231 and PHYS212 or PHYS208 and PHYS209 or equivalent course.) Lab 3, Lecture 4 (Fall, Spring). 
4 
EEEE380  Digital Electronics This is an introductory course in digital MOS circuit analysis and design. The course covers the following topics: (1) MOSFET IV behavior in aggressively scaled devices; (2) Static and dynamic characteristics of NMOS and CMOS inverters; (3) Combinational and sequential logic networks using CMOS technology; (4) Dynamic CMOS logic networks, including prechargeevaluate, domino and transmission gate circuits; (5) Special topics, including static and dynamic MOS memory, and interconnect RLC behavior. (Prerequisites: EEEE281 or equivalent course.) Lab 3, Lecture 3 (Fall, Spring, Summer). 
3 
EEEE499  Coop (fall) One semester of paid work experience in electrical engineering. (This course is restricted to EEEEBS Major students.) CO OP (Fall, Spring, Summer). 
0 
MATH381  Complex Variables This course covers the algebra of complex numbers, analytic functions, CauchyRiemann equations, complex integration, Cauchy's integral theorem and integral formulas, Taylor and Laurent series, residues, and the calculation of realvalued integrals by complexvariable methods. (Prerequisites: MATH219 or MATH221 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
General Education  Immersion 1 
3  
Fourth Year  
EEEE414  Classical Control This course introduces students to the study of linear continuoustime classical control systems, their behavior, design, and use in augmenting engineering system performance. The course is based on classical control methods using Laplacetransforms, blockdiagrams, rootlocus, and frequencydomain analysis. Topics include: Laplacetransform review; Bode plot review; system modeling for control; relationships of transferfunction poles and zeros to timeresponse behaviors; stability analysis; steadystate error, error constants, and error specification; feedback control properties; relationships between stability margins and transient behavior; lead, lag, and PID control; rootlocus analysis and design; frequencyresponse design and Nyquist stability. A laboratory will provide students with handson analysis and designbuildtest experience, and includes the use of computeraided design software such as MATLAB. (Prerequisites: EEEE353 or equivalent course.) Lab 3, Lecture 3 (Fall, Spring). 
3 
EEEE420  Embedded Systems Design The purpose of this course is to expose students to both the hardware and the software components of a digital embedded system. It focuses on the boundary between hardware and software operations. The elements of microcomputer architecture are presented, including a detailed discussion of the memory, inputoutput, the central processing unit (CPU) and the busses over which they communicate. C and assembly language level programming concepts are introduced, with an emphasis on the manipulation of microcomputer system elements through software means. Efficient methods for designing and developing C and assembly language programs are presented. Concepts of program controlled input and output are studied in detail and reinforced with extensive handson lab exercises involving both software and hardware, handson experience. (Prerequisites: EEEE220 or equivalent course.) Lab 3, Lecture 3 (Fall, Spring). 
3 
EEEE480  Analog Electronics This is an introductory course in analog electronic circuit analysis and design. The course covers the following topics: (1) Diode circuit DC and smallsignal behavior, including rectifying as well as Zenerdiodebased voltage regulation; (2) MOSFET currentvoltage characteristics; (3) DC biasing of MOSFET circuits, including integratedcircuit current sources; (4) Smallsignal analysis of singletransistor MOSFET amplifiers and differential amplifiers; (5) Multistage MOSFET amplifiers, such as cascade amplifiers, and operational amplifiers; (6) Frequency response of MOSFETbased single and multistage amplifiers; (7) DC and smallsignal analysis and design of bipolar junction transistor (BJT) devices and circuits; (8) Feedback and stability in MOSFET and BJT amplifiers. (Prerequisites: EEEE281 and EEEE282 and EEEE499 or equivalent courses.) Lab 3, Lecture 4 (Fall, Spring). 
4 
EEEE499  Coop (summer) One semester of paid work experience in electrical engineering. (This course is restricted to EEEEBS Major students.) CO OP (Fall, Spring, Summer). 
0 
MATH251  Probability and Statistics This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH173 or MATH182 or MATH 182A or equivalent course.) Lecture 3, Recitation 1 (Fall, Spring, Summer). 
3 
PUBL701  Graduate Policy Analysis This course provides graduate students with necessary tools to help them become effective policy analysts. The course places particular emphasis on understanding the policy process, the different approaches to policy analysis, and the application of quantitative and qualitative methods for evaluating public policies. Students will apply these tools to contemporary public policy decision making at the local, state, federal, and international levels. Lecture 3 (Fall). 
3 
PUBL702  Graduate Decision Analysis This course provides students with an introduction to decision science and analysis. The course focuses on several important tools for making good decisions, including decision trees, including forecasting, risk analysis, and multiattribute decision making. Students will apply these tools to contemporary public policy decision making at the local, state, federal, and international levels. Lecture 3 (Spring). 
3 
Professional Electives 
6  
General Education  Immersion 2,3 
6  
Fifth Year  
EEEE484  Communication Systems (WIPR) Introduction to Communication Systems provides the basics of the formation, transmission and reception of information over communication channels. Spectral density and correlation descriptions for deterministic and stationary random signals. Amplitude and angle modulation methods (e.g. AM and FM) for continuous signals. Carrier detection and synchronization. Phaselocked loop and its application. Introduction to digital communication. Binary ASK, FSK and PSK. Noise effects. Optimum detection: matched filters, maximumlikelihood reception. Computer simulation. (Prerequisites: EEEE353 and (MATH251 or 1016345) or equivalent course.) Lab 3, Lecture 3 (Fall, Spring). 
3 
EEEE497  Multidisciplinary Senior Design Project I This is the first in a twocourse sequence oriented to the solution of realworld engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow a systems engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, developing the details of the design, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. This first course focuses primarily on defining the problem and developing the design, but may include elements of build/ implementation. The second course may include elements of design, but focuses on build/implementation and communicating information about the final design. (Prerequisites: EEEE374 and EEEE414 and EEEE420 and EEEE480 and two coops (EEEE499).) Lecture 3 (Fall, Spring). 
3 
EEEE498  Multidisciplinary Senior Design Project II This is the second in a twocourse sequence oriented to the solution of realworld engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow a systems engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, developing the details of the design, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. This first course focuses primarily on defining the problem and developing the design, but may include elements of build/implementation. The second course may include elements of design, but focuses on build/implementation and communicating information about the final design. (Prerequisites: EEEE497 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
PUBL700  Readings in Public Policy An indepth inquiry into key contemporary public policy issues. Students will be exposed to a wide range of important public policy texts, and will learn how to write a literature review in a policy area of their choosing. (This class is restricted to degreeseeking graduate students or those with permission from instructor.) Seminar (Fall). 
3 
PUBL703  Evaluation and Research Design The focus of this course is on evaluation of program outcomes and research design. Students will explore the questions and methodologies associated with meeting programmatic outcomes, secondary or unanticipated effects, and an analysis of alternative means for achieving program outcomes. Critique of evaluation research methodologies will also be considered. Seminar (Spring). 
3 
STSO710  Graduate Science and Technology Policy Seminar Examines how federal and international policies are developed to influence research and development, innovation, and the transfer of technology in the United States and other selected nations. Students in the course will apply basic policy skills, concepts, and methods to contemporary science and technology policy topics. (This class is restricted to degreeseeking graduate students or those with permission from instructor.) Seminar (Fall). 
3 
Public Policy Electives 
6  
Open Elective 
3  
Choose one of the following:  6 

PUBL785  Capstone Research Experience The Public Policy Capstone Experience serves as a culminating experience for those MS in Science, Technology and Public Policy students who chose this option in the Public Policy Department. Over the course of the semester, students will have the opportunity to investigate and address contemporary topics in science and technology policy using analytic skills and theoretical knowledge learned over the course of their MS degree. Project 1 (Fall, Spring, Summer). 

PUBL790  Public Policy Thesis The master's thesis in science, technology, and public policy requires the student to select a thesis topic, advisor and committee; prepare a written thesis proposal for approval by the faculty; present and defend the thesis before a thesis committee; and submit a bound copy of the thesis to the library and to the program chair. (Enrollment in this course requires permission from the department offering the course.) Thesis 3 (Fall, Spring, Summer). 

PUBL798  Comprehensive Exam plus 2 Graduate Electives 

Total Semester Credit Hours  150 
Please see General Education Curriculum (GE) for more information.
(WIPR) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.