Typical Job Titles
| Computer Engineer | Semiconductor Engineer |
| Electrical Engineer | Firmware Engineer |
| Embedded Software Engineer | Test Automation Engineer |
| Manufacturing Engineer | Quality Engineer |
| Project Engineer | Sales Engineer |
Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Bachelors
Major
Electrical Engineering | Computer Engineering | Software Engineering
Area of study
Engineering
Course Language
English
About Program
Program Overview
Computer Engineering Bachelor of Science Degree
Overview
The Computer Engineering Bachelor of Science degree at RIT is designed to provide students with a comprehensive education in computer engineering, including the design, development, and testing of computer hardware and software systems.
Why Pursue a Computer Engineering Bachelor’s Degree at RIT
- Multidisciplinary Design Experience: Students complete a two-semester, two-course experience where they work on a team to develop a solution to a real-world engineering problem.
- Strong Career Paths: Students are hired for co-ops and full-time positions by top companies in the industry.
- Gain Hands-On Career Experience: Four blocks of engineering co-op mean nearly a year of hands-on, full-time, paid work experience in industry.
- Accelerated Bachelor’s/Master’s Available: Earn both a bachelor’s and a master’s degree in less time and with a cost savings, giving you a competitive advantage.
- STEM-OPT Visa Eligible: The STEM Optional Practical Training (OPT) program allows full-time, on-campus international students on an F-1 student visa to stay and work in the U.S. for up to three years after graduation.
RIT’s Bachelor of Science in Computer Engineering
The BS in computer engineering begins with the fundamental math, science, and technology courses that are essential to the curriculum. Emphasis is placed on selected areas of computer science, software engineering, and electrical engineering, including:
- Data structures
- Object-oriented programming languages
- Circuits
- Electronics
- Principles of software engineering
Upper-level computer engineering courses prepare students to integrate hardware and software by formulating complete system solutions. This is achieved through courses in:
- Computer architecture
- Digital systems
- Interfacing
- Computer networks
- Digital signal processing
Concentration areas provide students with an opportunity to gain additional in-depth knowledge in an area of particular interest within computer engineering. Concentrations are available in:
- Software
- High-performance computing
- Computer architecture
- Integrated circuits and systems
- Networks and security
- Computer vision and machine intelligence
- Signal processing, control, and embedded systems
Hands-On Experience in Computer Engineering
- Senior Design Capstone Experience: Computer engineering students complete a senior project that consists of a two-semester, two-course experience.
- Undergraduate Research: Students have the opportunity to work on research projects with faculty members.
Furthering Your Education in Computer Engineering
- Combined Accelerated Bachelor’s/Master’s Degrees: RIT offers Combined Accelerated Bachelor’s/Master’s Degrees that enable students to earn both a bachelor’s and a master’s degree in as little as five years, giving them a competitive advantage.
Careers and Cooperative Education
Typical Job Titles
- Computer Engineer
- Semiconductor Engineer
- Electrical Engineer
- Firmware Engineer
- Embedded Software Engineer
- Test Automation Engineer
- Manufacturing Engineer
- Quality Engineer
- Project Engineer
- Sales Engineer
Industries
- Aerospace
- Civil Engineering
- Computer Networking
- Defense
- Electronic and Computer Hardware
- Government (Local, State, Federal)
- Internet and Software
Curriculum
Computer Engineering, BS degree, typical course sequence
- First Year:
- CMPE-110: Introduction to Computer Engineering
- CMPE-160: Digital System Design I
- CSCI-141: Computer Science I
- CSCI-142: Computer Science II
- MATH-181: Calculus I
- MATH-182: Calculus II
- PHYS-211: University Physics I
- YOPS-10: RIT 365: RIT Connections
- Second Year:
- CMPE-250: Assembly and Embedded Programming
- CMPE-260: Digital System Design II
- EEEE-281: Circuits I
- EGEN-99: Engineering Co-op Preparation
- MATH-190: Discrete Mathematics for Computing
- MATH-219: Multivariable Calculus
- MATH-231: Differential Equations
- MATH-241: Linear Algebra
- PHYS-212: University Physics II
- SWEN-261: Introduction to Software Engineering
- Third Year:
- CMPE-350: Computer Organization
- CMPE-380: Applied Programming in C
- CMPE-499: Co-op (spring and summer)
- EEEE-282: Circuits II
- EEEE-380: Digital Electronics
- Fourth Year:
- CMPE-460: Interface and Digital Electronics
- CMPE-480: Digital Signal Processing
- CMPE-499: Co-op (fall and summer)
- CMPE-550: Computer Architecture
- MATH-251: Probability and Statistics
- Fifth Year:
- CMPE-497: Multidisciplinary Senior Design I
- CMPE-498: Multidisciplinary Senior Design II
- CMPE-570: Data and Communication Networks
Computer Engineering (secure systems option), BS degree, typical course sequence
- First Year:
- CMPE-110: Introduction to Computer Engineering
- CMPE-160: Digital System Design I
- CSCI-141: Computer Science I
- CSCI-142: Computer Science II
- MATH-181: Calculus I
- MATH-182: Calculus II
- PHYS-211: University Physics I
- YOPS-10: RIT 365: RIT Connections
- Second Year:
- CMPE-250: Assembly and Embedded Programming
- CMPE-260: Digital System Design II
- EEEE-281: Circuits I
- EGEN-99: Engineering Co-op Preparation
- MATH-190: Discrete Mathematics for Computing
- MATH-219: Multivariable Calculus
- MATH-231: Differential Equations
- MATH-241: Linear Algebra
- PHYS-212: University Physics II
- SWEN-261: Introduction to Software Engineering
- Third Year:
- CMPE-350: Computer Organization
- CMPE-361: Introduction to Hardware Security
- CMPE-380: Applied Programming in C
- CMPE-499: Co-op (spring and summer)
- EEEE-282: Circuits II
- EEEE-380: Digital Electronics
- Fourth Year:
- CMPE-460: Interface and Digital Electronics
- CMPE-480: Digital Signal Processing
- CMPE-499: Co-op (fall and summer)
- CMPE-550: Computer Architecture
- MATH-251: Probability and Statistics
- Fifth Year:
- CMPE-497: Multidisciplinary Senior Design I
- CMPE-498: Multidisciplinary Senior Design II
- CMPE-570: Data and Communication Networks
Combined Accelerated Bachelor’s/Master’s Degrees
- Computer Engineering, BS/MS degree, typical course sequence
- Computer Engineering, BS degree/Science, Technology and Public Policy, MS degree, typical course sequence
Admissions and Financial Aid
- First-Year Admission: First-year applicants are expected to demonstrate a strong academic background that includes 4 years of English, 3 years of social studies and/or history, 4 years of math (including algebra, geometry, algebra 2/trigonometry, and pre-calculus), and 2-3 years of science (including chemistry and physics).
- Transfer Admission: Transfer applicants should meet the minimum degree-specific requirements, including pre-calculus and chemistry or physics.
- Financial Aid and Scholarships: 100% of all incoming first-year and transfer students receive aid.
Accreditation
The BS program in computer engineering is accredited by the Engineering Accreditation Commission of ABET.
Faculty
- Andreas Savakis, Professor
- Dongfang Liu, Assistant Professor
- Andres Kwasinski, Professor
Research
The faculty and students in the Kate Gleason College of Engineering are engaging in numerous areas of research, including:
- Advanced Manufacturing
- Artificial Intelligence and Machine Learning Systems
- Biomedical and Healthcare Engineering
- Cyber-physical Systems
- Data Analysis, Modeling and Simulations
- Energy and the Environment
- Micro/Nanoscale Systems, Devices, and Materials
Program Outline
RIT’s Bachelor of Science in Computer Engineering
In the computer industry, there is a great demand for computer engineers who can do it all—from designing high performance computer hardware components and software to developing next-generation intelligent, resilient, and sustainable products and appliances that contain embedded systems.
Courses in Computer Engineering
RIT’s BS in computer engineering begins with the fundamental math, science, and technology courses that are essential to the curriculum. Emphasis is placed on selected areas of computer science, software engineering, and electrical engineering, including:
- Data structures
- Object-oriented programming languages
- Circuits
- Electronics
- Principles of software engineering
Upper-level computer engineering courses prepare you to integrate hardware and software by formulating complete system solutions. This is achieved through courses in:
- Computer architecture
- Digital systems
- Interfacing
- Computer networks
- Digital signal processing
Concentration areas provide you with an opportunity to gain additional in-depth knowledge in an area of particular interest within computer engineering. If you’re interested in conducting research, we highly encourage you to choose a concentration in an area of research that interests you and corresponds to the research initiatives of our engineering faculty. Concentrations are available in:
- Software
- High-performance computing
- Computer architecture
- Integrated circuits and systems
- Networks and security
- Computer vision and machine intelligence
- Signal processing, control, and embedded systems
Learn more about the Student Learning Outcomes and Program Educational Objectives for the computer engineering bachelor’s degree.
Hands-On Experience in Computer Engineering
In RIT’s BS in computer engineering you will gain valuable hands-on experience through a senior design capstone experience, undergraduate research, and more.
Senior Design Capstone Experience: Computer engineering students complete a senior project that consists of a two-semester capstone design experience. You will work in multidisciplinary design project teams of four to seven students from different engineering majors, including biomedical, computer, electrical, industrial, and mechanical engineering. Teams are assigned to projects before the start of the first course. Most projects are initiated by industry sponsors, community partners, or faculty members; however, students may also propose their own project ideas. While completing your senior design project, you will develop engineering management and project organization skills, learn to communicate your ideas effectively within a multidisciplinary team, and present your project and ideas to a diverse audience of students, faculty, and industrial partners.
Furthering Your Education in Computer Engineering
Combined Accelerated Bachelor’s/Master’s Degrees: RIT offers Combined Accelerated Bachelor’s/Master’s Degrees that enable you to earn both a bachelor’s and a master’s degree in as little as five years, giving you a competitive advantage.
- Computer Engineering BS/MS: In this combined dual degree option you’ll gain a foundation in computer engineering in the bachelor’s degree program while the computer engineering master’s focuses on the design and development of computer and computer-integrated systems, with consideration to engineering factors as function, performance, security, and sustainability.
- +1 MBA Early Acceptance Pathway: Successful RIT applicants who are offered admission into the BS in computer engineering as an incoming first-year student may also be offered conditional early acceptance into the +1 MBA Early Acceptance Pathway. Learn more about the +1 MBA Early Acceptance Pathway.
- +1 MBA: Students who enroll in a qualifying undergraduate degree have the opportunity to add an MBA to their bachelor’s degree after their first year of study, depending on their program. Learn more about the +1 MBA.
What’s The Difference Between Engineering and Engineering Technology?
It’s a question we’re asked all the time. While there are subtle differences in the course work between the two, choosing a major in engineering or engineering technology is more about identifying what you like to do and how you like to do it.
Careers and Cooperative Education
Salary and Career Information for Computer Engineering BS
Cooperative Education
What’s different about an RIT education? It’s the career experience you gain by completing cooperative education and internships with top companies in every single industry. You’ll earn more than a degree. You’ll gain real-world career experience that sets you apart. It’s exposure–early and often–to a variety of professional work environments, career paths, and industries.
Co-ops and internships take your knowledge and turn it into know-how. Your engineering co-ops will provide hands-on experience that enables you to apply your engineering knowledge in professional settings while you make valuable connections between classwork and real-world applications.
The computer engineering degree requires students to complete four blocks (48 weeks) of cooperative education experience. After completing the first two years of course work, you'll spend the next two years alternating course work on campus with cooperative education experience. This employment not only adds real experience to your resume, but prepares you for more sophisticated academic work. Students have completed co-ops at companies as Motorola, Intel, Advanced Micro Devices, IBM, Hewlett Packard, Eastman Kodak Company, and for the federal government, as well as a host of smaller companies. Co-op has taken our students from the high-tech corridors of New England and California to businesses close to their hometowns. Students have worked on product development teams for companies like IBM, Intel, Hewlett-Packard, Lucent Technologies, and Kodak. They have also worked on software projects for smaller companies and the government.
During co-op experiences, computer engineering students have been on product development teams for new computers and electronic imaging systems as well as a variety of large software projects for industry and government.
Computer Engineering, BS degree, typical course sequence
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| CMPE-110 | Introduction to Computer Engineering |
1 |
This course overviews the field of computer engineering, the computer engineering curriculum at RIT, and research and career opportunities. The topics covered include basic circuit analysis, number systems, digital logic, programming, robotics, laboratory equipment, teamwork, critical thinking, technical writing, modern and contemporary issues, ethics, diversity, and communication skills. Lab 2 (Fall). | ||
| CMPE-160 | Digital System Design I |
3 |
This course covers the specification, analysis, modeling and design of digital systems. Standard modules, such as decoders, multiplexers, shifter registers, adders, and counters, will be analyzed. Lectures will discuss fundamental design methodologies, state machines, and digital system modeling with the use of VHDL as a hardware description language. The laboratory provides hands-on experiences of the design, modeling, implementation, and testing of digital systems using commercial IC components as well as CAD tools. (Co-requisite: CSCI-105 or CSCI-140 or CSCI-141 or equivalent course.) Lab 2 (Fall, Spring). | ||
| CSCI-141 | Computer Science I (General Education) |
4 |
This course serves as an introduction to computational thinking using a problem-centered approach. Specific topics covered include: expression of algorithms in pseudo code and a programming language; functional and imperative programming techniques; control structures; problem solving using recursion; basic searching and sorting; elementary data structures such as lists, trees, and graphs; and correctness, testing and debugging. Assignments (both in class and for homework) requiring a pseudo code solution and an implementation are an integral part of the course. An end-of-term project is also required. Lec/Lab 6 (Fall, Spring). | ||
| CSCI-142 | Computer Science II (General Education) |
4 |
This course delves further into problem solving by continuing the discussion of data structure use and design, but now from an object-oriented perspective. Key topics include more information on tree and graph structures, nested data structures, objects, classes, inheritance, interfaces, object-oriented collection class libraries for abstract data types (e.g. stacks, queues, maps, and trees), and static vs. dynamic data types. Concepts of object-oriented design are a large part of the course. Software qualities related to object orientation, namely cohesion, minimal coupling, modifiability, and extensibility, are all introduced in this course, as well as a few elementary object-oriented design patterns. Input and output streams, graphical user interfaces, and exception handling are covered. Students will also be introduced to a modern integrated software development environment (IDE). Programming projects will be required. (Prerequisites: CSCI-141 with a grade of C- or better or equivalent course.) Lec/Lab 6 (Fall, Spring, Summer). | ||
| MATH-181 | Calculus I (General Education – Mathematical Perspective A) |
4 |
This is the first in a two-course 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. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). | ||
| MATH-182 | Calculus II (General Education – Mathematical Perspective B) |
4 |
This is the second in a two-course 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 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 (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). | ||
| PHYS-211 | University Physics I (General Education – Scientific Principles Perspective) |
4 |
This is a course in calculus-based 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 MATH-181 or equivalent course. Co-requisites: MATH-182 or equivalent course.) Lec/Lab 6 (Fall, Spring). | ||
| YOPS-10 | RIT 365: RIT Connections |
0 |
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 first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring). | ||
General Education – First-Year Writing (WI) |
3 | |
General Education – Artistic Perspective |
3 | |
General Education – Social Perspective |
3 | |
General Education – Elective |
3 | |
| Second Year | ||
| CMPE-250 | Assembly and Embedded Programming |
3 |
This course introduces embedded systems, along with fundamental computer organization, assembly language programming, and mixed language programming with C and assembly. Using a modern microcontroller and embedded systems IDE, such as the ARM Cortex-M0+ and Keil Microcontroller Development Kit, the course covers embedded programming concepts and interface modules, as well as addressing methods, machine instructions, assembler directives, macro definitions, code relocatability, subroutine linkage, data structures, I/O programming, exception processing, and interrupts. Program design techniques necessary to write efficient, maintainable device drivers are considered. (Prerequisites: CMPE-160 or EEEE-120 or equivalent courses.
Co-requisites: CSCI-140 or CSCI-142 or CSCI-242 or equivalent courses.) Lab 2 (Fall, Spring). | ||
| CMPE-260 | Digital System Design II |
4 |
This course presents modern approaches to the design, modeling and testing of digital system. Topics covered are: VHDL and Verilog HDL as hardware description languages (HDLs), simulation techniques, design synthesis, verification methods, and implementation with field programmable gate arrays (FPGAs). Combinational and both the synchronous and asynchronous sequential circuits are studied. Testing and design for testability techniques are emphasized and fault tolerant and fail safe design concepts are introduced. Laboratory projects that enable students gain hands-on experience are required. The projects include complete design flow: design of the system, modeling using HDLs, simulation, synthesis and verification. (Prerequisites: CMPE-160 or CMPE-161 or equivalent courses.
Co-requisites: PHYS-212 or PHYS-208 or EEEE-281 or equivalent courses.) Lab 2 (Fall, Spring). | ||
| EEEE-281 | Circuits I |
3 |
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 op-amps 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 battery-powered 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: MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lab 3 (Fall, Spring, Summer). | ||
| EGEN-99 | Engineering Co-op Preparation |
0 |
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 co-op 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). | ||
| MATH-190 | Discrete Mathematics for Computing (General Education) |
3 |
This course introduces students to ideas and techniques from discrete mathematics that are widely used in Computer Science. Students will learn about the fundamentals of propositional and predicate calculus, set theory, relations, recursive structures and counting. This course will help increase students’ mathematical sophistication and their ability to handle abstract problems. (Co-requisites: MATH-182 or MATH-182A or MATH-172 or equivalent courses.) Lecture 3 (Fall, Spring). | ||
| MATH-219 | Multivariable Calculus (General Education) |
3 |
This course is principally a study of the calculus of functions of two or more variables, but also includes the study of vectors, vector-valued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, and includes applications in physics. Credit cannot be granted for both this course and MATH-221. (Prerequisite: C- or better MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). | ||
| MATH-231 | Differential Equations (General Education) |
3 |
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: MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). | ||
| MATH-241 | Linear Algebra (General Education) |
3 |
This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course. (Prerequisites: MATH-190 or MATH-200 or MATH-219 or MATH-220 or MATH-221 or MATH-221H or equivalent course.) Lecture 3 (Fall, Spring). | ||
| PHYS-212 | University Physics II (General Education – Natural Science Inquiry Perspective) |
4 |
This course is a continuation of PHYS-211, 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: (PHYS-211 or PHYS-211A or PHYS-206 or PHYS-216) or (MECE-102, MECE-103 and MECE-205) and (MATH-182 or MATH-172 or MATH-182A) or equivalent courses. Grades of C- or better are required in all prerequisite courses.) Lec/Lab 6 (Fall, Spring). | ||
| SWEN-261 | Introduction to Software Engineering |
3 |
An introductory course in software engineering, emphasizing the organizational aspects of software development and software design and implementation by individuals and small teams within a process/product framework. Topics include the software lifecycle, software design, user interface issues, specification and implementation of components, assessing design quality, design reviews and code inspections, software testing, basic support tools, technical communications and system documentation, team-based development. A term-long, team-based project done in a studio format is used to reinforce concepts presented in class. (Prerequisite: CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124 or equivalent course.) Lec/Lab 3 (Fall, Spring). | ||
General Education – Ethical Perspective |
3 | |
| Third Year | ||
| CMPE-350 | Computer Organization |
3 |
The course covers the important aspects of the design, organization, and performance evaluation of modern computer systems. Topics include computer performance measures, instruction set architecture classification, input/output organization, CPU datapath and control unit design, microprogramming, arithmetic and logic unit design, and the memory hierarchy, including cache levels and virtual memory. (Prerequisites: CMPE-250 or equivalent course.) Lecture 3 (Fall, Spring). | ||
| CMPE-380 | Applied Programming in C |
3 |
This course uses the C language to implement algorithms used in the numerical solution of common problems encountered in science and engineering. Topics include an introduction to C, computer number representation and roundoff error, algorithms for finding roots of nonlinear equations, interpolation, threading, software security, numerical differentiation and integration, function approximation and data fitting solutions to systems of linear equations, and general matrix manipulation. (Prerequisites: MATH-241 and CMPE-250 or equivalent courses.) Lab 2 (Fall, Spring). | ||
| CMPE-499 | Co-op (spring and summer) |
0 |
After completing Co-op Seminar (EGEN-099) or Co-op Workshop as well as meeting Co-op enrollment requirements, Computer Engineering students should register for CMPE-499 for each term of full-time, paid employment in the Computer Engineering field. Students who take on Spring-Summer or Summer-Fall Co-ops must register for both the semester term and the summer term. Students must obtain permission from the Computer Engineering office for any exception to the assigned Co-op blocks. (This class is restricted to CMPE-BS students with at least 3rd year standing who have completed EGEN-99, EEEE-281, SWEN-261 and CMPE-260 or CMPE-499.) CO OP (Fall, Spring, Summer). | ||
| EEEE-282 | Circuits II |
3 |
This course covers the fundamentals of AC circuit analysis starting with the study of sinusoidal steady-state 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 coupled-coils. Linear, ideal and non-ideal 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. Two-port network theory is developed and applied to circuits and interconnections. (Prerequisites: C or better in EEEE-281 or equivalent course.) Lecture 3 (Fall, Spring, Summer). | ||
| EEEE-380 | Digital Electronics |
3 |
This is an introductory course in digital MOS circuit analysis and design. The course covers the following topics: (1) MOSFET I-V 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 precharge-evaluate, domino and transmission gate circuits; (5) Special topics, including static and dynamic MOS memory, and interconnect RLC behavior. (Prerequisites: EEEE-281 or equivalent course.) Lab 3 (Fall, Spring, Summer). | ||
General Education – Global Perspective |
3 | |
| Fourth Year | ||
| CMPE-460 | Interface and Digital Electronics (WI-PR) |
4 |
This course covers various sensors, motors, signal conditioning circuits including amplification, filtering, level shifting, ADC, and DAC. Modern tools, such as Keil ARM MDK and PSpice will be used to simulate and debug modern microcontrollers, such as NXP Kinetis, analog active filters, and operational amplifier application circuits. Each team of two students is required to design a complete data acquisition system from sensors, amplification, filtering, ADC, and DAC to analog outputs through either wired transmission or wireless transmission circuits (Prerequisites: EEEE-282 and (EEEE-380 or EEEE-381) and CMPE-250 or equivalent courses.
Corequisites: CMPE-380 or equivalent course.) Lab 2 (Fall, Spring). | ||
| CMPE-480 | Digital Signal Processing |
3 |
This course introduces the basic elements of continuous and discrete time signals and systems and fundamental signal processing techniques, such as FIR and IIR Filtering, the Fourier transform, the Discrete Fourier transform and the z transform. Theory is strengthened through MATLAB-based projects and exercises. (Prerequisites: MATH-231 and MATH-241 and EEEE-282 or equivalent courses.) Lecture 3 (Fall, Spring). | ||
| CMPE-499 | Co-op (fall and summer) |
0 |
After completing Co-op Seminar (EGEN-099) or Co-op Workshop as well as meeting Co-op enrollment requirements, Computer Engineering students should register for CMPE-499 for each term of full-time, paid employment in the Computer Engineering field. Students who take on Spring-Summer or Summer-Fall Co-ops must register for both the semester term and the summer term. Students must obtain permission from the Computer Engineering office for any exception to the assigned Co-op blocks. (This class is restricted to CMPE-BS students with at least 3rd year standing who have completed EGEN-99, EEEE-281, SWEN-261 and CMPE-260 or CMPE-499.) CO OP (Fall, Spring, Summer). | ||
| CMPE-550 | Computer Architecture |
3 |
The course covers various aspects of advanced uniprocessor computer architecture design. Instruction set architecture design alternatives are discussed with emphasis on the Reduced Instruction Set Computer (RISC) architecture. Techniques to enhance CPU performance such as pipelined execution optimizations, conditional branch handling techniques, exploitation of instruction-level parallelism, multiple-instruction issue, and dynamic scheduling are studied. Cache, and memory hierarchy design and performance issues are also presented. The design aspects of efficient and reliable input/output systems are also covered. The course concludes with an introduction to concepts of multiprocessor systems design. (Prerequisite: CMPE-350 or equivalent course.) Lecture 3 (Fall, Spring). | ||
| MATH-251 | Probability and Statistics (General Education) |
3 |
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 real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). | ||
General Education – Immersion |
3 | |
| Fifth Year | ||
| CMPE-497 | Multidisciplinary Senior Design I |
3 |
This is the first in a two-course sequence oriented to the solution of real-world 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: CMPE-460 and at least 4th year standing in CMPE-BS with a minimum of 2 terms of co-op completed.) Studio 6 (Fall, Spring). | ||
| CMPE-498 | Multidisciplinary Senior Design II |
3 |
This is the second in a two-course sequence oriented to the solution of real-world 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. The first course focuses primarily on defining the problem and developing the design, but may include elements of build/ implementation. This second course may include elements of design, but focuses on build/implementation and communicating information about the final design. (Prerequisite: CMPE-497 or equivalent course.) Studio 6 (Fall, Spring). | ||
| CMPE-570 | Data and Communication Networks |
3 |
This course will give an overview of the technologies, architectures and protocols used to build various types of computer and communication networks - wired or wireless. The emphasis will be placed on discussions of various network design problems and solution approaches. Specific issues covered in this course include: framing and coding, error detection, multiple access control, addressing, routing, flow and congestion control, scheduling and switching. (Prerequisites: MATH-251 or 1016-345 or equivalent course.) Lecture 3 (Fall, Spring). | ||
General Education – Immersion 2, 3 |
6 | |
Professional Electives |
6 | |
Open Electives |
9 | |
| Total Semester Credit Hours | 129 |
|
Please see General Education Curriculum (GE) for more information.
(WI-PR) 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.
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.
Computer Engineering, BS/MS degree, typical course sequence
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| CMPE-110 | Introduction to Computer Engineering |
1 |
This course overviews the field of computer engineering, the computer engineering curriculum at RIT, and research and career opportunities. The topics covered include basic circuit analysis, number systems, digital logic, programming, robotics, laboratory equipment, teamwork, critical thinking, technical writing, modern and contemporary issues, ethics, diversity, and communication skills. Lab 2 (Fall). | ||
| CMPE-160 | Digital System Design I |
3 |
This course covers the specification, analysis, modeling and design of digital systems. Standard modules, such as decoders, multiplexers, shifter registers, adders, and counters, will be analyzed. Lectures will discuss fundamental design methodologies, state machines, and digital system modeling with the use of VHDL as a hardware description language. The laboratory provides hands-on experiences of the design, modeling, implementation, and testing of digital systems using commercial IC components as well as CAD tools. (Co-requisite: CSCI-105 or CSCI-140 or CSCI-141 or equivalent course.) Lab 2 (Fall, Spring). | ||
| CSCI-141 | Computer Science I (General Education – Elective) |
4 |
This course serves as an introduction to computational thinking using a problem-centered approach. Specific topics covered include: expression of algorithms in pseudo code and a programming language; functional and imperative programming techniques; control structures; problem solving using recursion; basic searching and sorting; elementary data structures such as lists, trees, and graphs; and correctness, testing and debugging. Assignments (both in class and for homework) requiring a pseudo code solution and an implementation are an integral part of the course. An end-of-term project is also required. Lec/Lab 6 (Fall, Spring). | ||
| CSCI-142 | Computer Science II (General Education – Elective) |
4 |
This course delves further into problem solving by continuing the discussion of data structure use and design, but now from an object-oriented perspective. Key topics include more information on tree and graph structures, nested data structures, objects, classes, inheritance, interfaces, object-oriented collection class libraries for abstract data types (e.g. stacks, queues, maps, and trees), and static vs. dynamic data types. Concepts of object-oriented design are a large part of the course. Software qualities related to object orientation, namely cohesion, minimal coupling, modifiability, and extensibility, are all introduced in this course, as well as a few elementary object-oriented design patterns. Input and output streams, graphical user interfaces, and exception handling are covered. Students will also be introduced to a modern integrated software development environment (IDE). Programming projects will be required. (Prerequisites: CSCI-141 with a grade of C- or better or equivalent course.) Lec/Lab 6 (Fall, Spring, Summer). | ||
| MATH-181 | Project-Based Calculus I (General Education – Mathematical Perspective A) |
4 |
This is the first in a two-course 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. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). | ||
| MATH-182 | Project-Based Calculus II (General Education – Mathematical Perspective B) |
4 |
This is the second in a two-course 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 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 (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). | ||
| PHYS-211 | University Physics I (General Education – Scientific Principles Perspective) |
4 |
This is a course in calculus-based 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 MATH-181 or equivalent course. Co-requisites: MATH-182 or equivalent course.) Lec/Lab 6 (Fall, Spring). | ||
| YOPS-10 | RIT 365: RIT Connections |
0 |
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 first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring). | ||
General Education – Elective |
3 | |
First-Year Writing (WI) (General Education) |
3 | |
General Education – Artistic Perspective |
3 | |
General Education – Social Perspective |
3 | |
| Second Year | ||
| CMPE-250 | Assembly and Embedded Programming |
3 |
This course introduces embedded systems, along with fundamental computer organization, assembly language programming, and mixed language programming with C and assembly. Using a modern microcontroller and embedded systems IDE, such as the ARM Cortex-M0+ and Keil Microcontroller Development Kit, the course covers embedded programming concepts and interface modules, as well as addressing methods, machine instructions, assembler directives, macro definitions, code relocatability, subroutine linkage, data structures, I/O programming, exception processing, and interrupts. Program design techniques necessary to write efficient, maintainable device drivers are considered. (Prerequisites: CMPE-160 or EEEE-120 or equivalent courses.
Co-requisites: CSCI-140 or CSCI-142 or CSCI-242 or equivalent courses.) Lab 2 (Fall, Spring). | ||
| CMPE-260 | Digital System Design II |
4 |
This course presents modern approaches to the design, modeling and testing of digital system. Topics covered are: VHDL and Verilog HDL as hardware description languages (HDLs), simulation techniques, design synthesis, verification methods, and implementation with field programmable gate arrays (FPGAs). Combinational and both the synchronous and asynchronous sequential circuits are studied. Testing and design for testability techniques are emphasized and fault tolerant and fail safe design concepts are introduced. Laboratory projects that enable students gain hands-on experience are required. The projects include complete design flow: design of the system, modeling using HDLs, simulation, synthesis and verification. (Prerequisites: CMPE-160 or CMPE-161 or equivalent courses.
Co-requisites: PHYS-212 or PHYS-208 or EEEE-281 or equivalent courses.) Lab 2 (Fall, Spring). | ||
| EEEE-281 | Circuits I |
3 |
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 op-amps 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 battery-powered 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: MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lab 3 (Fall, Spring, Summer). | ||
| EGEN-99 | Engineering Co-op Preparation |
0 |
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 co-op 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). | ||
| MATH-190 | Discrete Mathematics for Computing (General Education – Elective) |
3 |
This course introduces students to ideas and techniques from discrete mathematics that are widely used in Computer Science. Students will learn about the fundamentals of propositional and predicate calculus, set theory, relations, recursive structures and counting. This course will help increase students’ mathematical sophistication and their ability to handle abstract problems. (Co-requisites: MATH-182 or MATH-182A or MATH-172 or equivalent courses.) Lecture 3 (Fall, Spring). | ||
| MATH-219 | Multivariable Calculus (General Education – Elective) |
3 |
This course is principally a study of the calculus of functions of two or more variables, but also includes the study of vectors, vector-valued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, and includes applications in physics. Credit cannot be granted for both this course and MATH-221. (Prerequisite: C- or better MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). | ||
| MATH-231 | Differential Equations (General Education – Elective) |
3 |
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: MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). | ||
| MATH-241 | Linear Algebra I (General Education – Elective) |
3 |
This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course. (Prerequisites: MATH-190 or MATH-200 or MATH-219 or MATH-220 or MATH-221 or MATH-221H or equivalent course.) Lecture 3 (Fall, Spring). | ||
| PHYS-212 | University Physics II (General Education – Natural Science Inquiry Perspective) |
4 |
This course is a continuation of PHYS-211, 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: (PHYS-211 or PHYS-211A or PHYS-206 or PHYS-216) or (MECE-102, MECE-103 and MECE-205) and (MATH-182 or MATH-172 or MATH-182A) or equivalent courses. Grades of C- or better are required in all prerequisite courses.) Lec/Lab 6 (Fall, Spring). | ||
| SWEN-261 | Introduction to Software Engineering |
3 |
An introductory course in software engineering, emphasizing the organizational aspects of software development and software design and implementation by individuals and small teams within a process/product framework. Topics include the software lifecycle, software design, user interface issues, specification and implementation of components, assessing design quality, design reviews and code inspections, software testing, basic support tools, technical communications and system documentation, team-based development. A term-long, team-based project done in a studio format is used to reinforce concepts presented in class. (Prerequisite: CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124 or equivalent course.) Lec/Lab 3 (Fall, Spring). | ||
General Education – Ethical Perspective |
3 | |
| Third Year | ||
| CMPE-350 | Computer Organization |
3 |
The course covers the important aspects of the design, organization, and performance evaluation of modern computer systems. Topics include computer performance measures, instruction set architecture classification, input/output organization, CPU datapath and control unit design, microprogramming, arithmetic and logic unit design, and the memory hierarchy, including cache levels and virtual memory. (Prerequisites: CMPE-250 or equivalent course.) Lecture 3 (Fall, Spring). | ||
| CMPE-380 | Applied Programming in C |
3 |
This course uses the C language to implement algorithms used in the numerical solution of common problems encountered in science and engineering. Topics include an introduction to C, computer number representation and roundoff error, algorithms for finding roots of nonlinear equations, interpolation, threading, software security, numerical differentiation and integration, function approximation and data fitting solutions to systems of linear equations, and general matrix manipulation. (Prerequisites: MATH-241 and CMPE-250 or equivalent courses.) Lab 2 (Fall, Spring). | ||
| CMPE-499 | Co-op (spring and summer) |
0 |
After completing Co-op Seminar (EGEN-099) or Co-op Workshop as well as meeting Co-op enrollment requirements, Computer Engineering students should register for CMPE-499 for each term of full-time, paid employment in the Computer Engineering field. Students who take on Spring-Summer or Summer-Fall Co-ops must register for both the semester term and the summer term. Students must obtain permission from the Computer Engineering office for any exception to the assigned Co-op blocks. (This class is restricted to CMPE-BS students with at least 3rd year standing who have completed EGEN-99, EEEE-281, SWEN-261 and CMPE-260 or CMPE-499.) CO OP (Fall, Spring, Summer). | ||
| EEEE-282 | Circuits II |
3 |
This course covers the fundamentals of AC circuit analysis starting with the study of sinusoidal steady-state 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 coupled-coils. Linear, ideal and non-ideal 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. Two-port network theory is developed and applied to circuits and interconnections. (Prerequisites: C or better in EEEE-281 or equivalent course.) Lecture 3 (Fall, Spring, Summer). | ||
| EEEE-380 | Digital Electronics |
3 |
This is an introductory course in digital MOS circuit analysis and design. The course covers the following topics: (1) MOSFET I-V 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 precharge-evaluate, domino and transmission gate circuits; (5) Special topics, including static and dynamic MOS memory, and interconnect RLC behavior. (Prerequisites: EEEE-281 or equivalent course.) Lab 3 (Fall, Spring, Summer). | ||
| MATH-251 | Probability and Statistics (General Education – Elective) |
3 |
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 real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). | ||
General Education – Global Perspective |
3 | |
| Fourth Year | ||
| CMPE-460 | Interface and Digital Electronics (WI-PR) |
4 |
This course covers various sensors, motors, signal conditioning circuits including amplification, filtering, level shifting, ADC, and DAC. Modern tools, such as Keil ARM MDK and PSpice will be used to simulate and debug modern microcontrollers, such as NXP Kinetis, analog active filters, and operational amplifier application circuits. Each team of two students is required to design a complete data acquisition system from sensors, amplification, filtering, ADC, and DAC to analog outputs through either wired transmission or wireless transmission circuits (Prerequisites: EEEE-282 and (EEEE-380 or EEEE-381) and CMPE-250 or equivalent courses.
Corequisites: CMPE-380 or equivalent course.) Lab 2 (Fall, Spring). | ||
| CMPE-480 | Digital Signal Processing |
3 |
This course introduces the basic elements of continuous and discrete time signals and systems and fundamental signal processing techniques, such as FIR and IIR Filtering, the Fourier transform, the Discrete Fourier transform and the z transform. Theory is strengthened through MATLAB-based projects and exercises. (Prerequisites: MATH-231 and MATH-241 and EEEE-282 or equivalent courses.) Lecture 3 (Fall, Spring). | ||
| CMPE-497 | Multidisciplinary Senior Design I |
3 |
This is the first in a two-course sequence oriented to the solution of real-world 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: CMPE-460 and at least 4th year standing in CMPE-BS with a minimum of 2 terms of co-op completed.) Studio 6 (Fall, Spring). | ||
| CMPE-499 | Co-op (summer) |
0 |
After completing Co-op Seminar (EGEN-099) or Co-op Workshop as well as meeting Co-op enrollment requirements, Computer Engineering students should register for CMPE-499 for each term of full-time, paid employment in the Computer Engineering field. Students who take on Spring-Summer or Summer-Fall Co-ops must register for both the semester term and the summer term. Students must obtain permission from the Computer Engineering office for any exception to the assigned Co-op blocks. (This class is restricted to CMPE-BS students with at least 3rd year standing who have completed EGEN-99, EEEE-281, SWEN-261 and CMPE-260 or CMPE-499.) CO OP (Fall, Spring, Summer). | ||
| CMPE-550 | Computer Architecture |
3 |
The course covers various aspects of advanced uniprocessor computer architecture design. Instruction set architecture design alternatives are discussed with emphasis on the Reduced Instruction Set Computer (RISC) architecture. Techniques to enhance CPU performance such as pipelined execution optimizations, conditional branch handling techniques, exploitation of instruction-level parallelism, multiple-instruction issue, and dynamic scheduling are studied. Cache, and memory hierarchy design and performance issues are also presented. The design aspects of efficient and reliable input/output systems are also covered. The course concludes with an introduction to concepts of multiprocessor systems design. (Prerequisite: CMPE-350 or equivalent course.) Lecture 3 (Fall, Spring). | ||
| CMPE-610 | Analytical Topics in Computer Engineering |
3 |
This course begins by reviewing signal and system analysis techniques for analyzing linear systems. It includes Fourier techniques and moves on to present fundamental computational techniques appropriate for a number of applications areas of computer engineering. Other topics include symbolic logic and optimization techniques. (Prerequisites: CMPE-480 and (MATH-251 or 1016-345) or graduate standing in the CMPE-MS program.) Lecture 3 (Fall, Spring). | ||
| CMPE-670 | Data and Communication Networks |
3 |
This course will give an overview of the technologies, architectures and protocols used to build various types of computer and communication networks - wired or wireless. The emphasis will be placed on discussions of various network design problems and solution approaches. Specific issues covered in this course include: framing and coding, error detection, multiple access control, addressing, routing, flow and congestion control, scheduling and switching. (Prerequisite: MATH-251 or 1016-345 or graduate standing in the CMPE-MS program.) Lecture 3 (Fall, Spring). | ||
| CMPE-795 | Graduate Seminar |
0 |
The graduate seminar prepares graduate students to effectively conduct their thesis research and expose them to current research in various areas of computer engineering. Current literature topics are reviewed through interactive presentations and discussions. (This class is restricted to students in the CMPE-MS, CMPE-BS/MS program.) Seminar (Fall, Spring). | ||
3 |
||
| CMPE-630 | Digital Integrated Circuit Design |
|
This course will cover the basic theory and techniques of Digital Integrated Circuit Design in CMOS technology. Topics include CMOS transistor theory and operation, design and implementation of CMOS circuits, fabrication process, layout and physical design, delay and power models, static and dynamic logic families, testing and verification, memory and nanoscale technologies. Laboratory assignments and project facilitate in hands-on learning of circuit-level design and simulation, layout and parasitic extractions, pre and post-layout verification and validation, full-custom flow and Synthesis based flow, using industry standard CAD tools. (Prerequisites: CMPE-260 and EEEE-282 and (EEEE-380 or EEEE-381) or equivalent courses.) Lab 2 (Fall, Spring). | ||
| CMPE-660 | Reconfigurable Computing |
|
The objective of this course is to present the foundations of reconfigurable computing methodologies from both hardware and software perspectives. Topics covered are: architectures of modern field programmable gate arrays (FPGAs), digital system design methodologies using FPGAs, hardware-software co-design with embedded processors, hardware optimization techniques, system level integration under operating system, dynamic reconfiguration. Laboratory projects in which students will acquire a solid capability of Xilinx CAD tools and FPGA devices are required. The projects include the whole design flow: design of the system, VHDL modeling, software and hardware development, FPGA verification. (Prerequisites: CMPE-260 or equivalent course or graduate standing in the CMPE-MS program.) Studio 3 (Fall). | ||
| CMPE-755 | High Performance Architectures |
|
This course will focus on learning and understanding the available hardware options to satisfy the needs of high performance and computational intensive applications. Special attention will be paid to single platform massively parallel devices, their programming and efficient use of the hardware resources. The course will include hands on work with the actual device, lab work, and technical reports and conference paper reading as a relevant source information. (Prerequisite: CMPE-350 or equivalent course or graduate standing in the CMPE-MS program.) Lecture 3 (Fall). | ||
Professional Elective |
3 | |
General Education – Immersion 1, 2 |
6 | |
Open Elective |
3 | |
| Fifth Year | ||
| CMPE-498 | Multidisciplinary Senior Design II |
3 |
This is the second in a two-course sequence oriented to the solution of real-world 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. The first course focuses primarily on defining the problem and developing the design, but may include elements of build/ implementation. This second course may include elements of design, but focuses on build/implementation and communicating information about the final design. (Prerequisite: CMPE-497 or equivalent course.) Studio 6 (Fall, Spring). | ||
Graduate Electives |
12 | |
General Education – Immersion 3 |
3 | |
Open Elective |
3 | |
9 |
||
| CMPE-790 | Thesis |
|
Thesis research investigates an independent 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 adviser to guide the thesis before registering. (Enrollment in this course requires permission from the department offering the course.) Thesis (Fall, Spring, Summer). | ||
| CMPE-792 | Graduate Project plus two additional Project Focus Electives |
|
Graduate Project is a scholarly undertaking that addresses an immediate and practical problem with tangible outcomes. A formal report, presentation, or demonstration is required. The student must obtain the approval of an appropriate faculty adviser to guide the project before registering. (This class is restricted to students in the CMPE-MS, CMPE-BS/MS program.) Project (Fall, Spring, Summer). | ||
Graduate Elective plus two additional Flexible Core Courses† |
||
| Total Semester Credit Hours | 150 |
|
Please see General Education Curriculum (GE) for more information.
(WI-PR) 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.
† Completing this option requires passing a comprehensive examination.
Computer Engineering, BS degree/Science, Technology and Public Policy, MS degree, typical course sequence
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| CMPE-110 | Introduction to Computer Engineering |
1 |
This course overviews the field of computer engineering, the computer engineering curriculum at RIT, and research and career opportunities. The topics covered include basic circuit analysis, number systems, digital logic, programming, robotics, laboratory equipment, teamwork, critical thinking, technical writing, modern and contemporary issues, ethics, diversity, and communication skills. Lab 2 (Fall). | ||
| CMPE-160 | Digital System Design I |
3 |
This course covers the specification, analysis, modeling and design of digital systems. Standard modules, such as decoders, multiplexers, shifter registers, adders, and counters, will be analyzed. Lectures will discuss fundamental design methodologies, state machines, and digital system modeling with the use of VHDL as a hardware description language. The laboratory provides hands-on experiences of the design, modeling, implementation, and testing of digital systems using commercial IC components as well as CAD tools. (Co-requisite: CSCI-105 or CSCI-140 or CSCI-141 or equivalent course.) Lab 2 (Fall, Spring). | ||
| CSCI-141 | Computer Science I |
4 |
This course serves as an introduction to computational thinking using a problem-centered approach. Specific topics covered include: expression of algorithms in pseudo code and a programming language; functional and imperative programming techniques; control structures; problem solving using recursion; basic searching and sorting; elementary data structures such as lists, trees, and graphs; and correctness, testing and debugging. Assignments (both in class and for homework) requiring a pseudo code solution and an implementation are an integral part of the course. An end-of-term project is also required. Lec/Lab 6 (Fall, Spring). | ||
| CSCI-142 | Computer Science II |
4 |
This course delves further into problem solving by continuing the discussion of data structure use and design, but now from an object-oriented perspective. Key topics include more information on tree and graph structures, nested data structures, objects, classes, inheritance, interfaces, object-oriented collection class libraries for abstract data types (e.g. stacks, queues, maps, and trees), and static vs. dynamic data types. Concepts of object-oriented design are a large part of the course. Software qualities related to object orientation, namely cohesion, minimal coupling, modifiability, and extensibility, are all introduced in this course, as well as a few elementary object-oriented design patterns. Input and output streams, graphical user interfaces, and exception handling are covered. Students will also be introduced to a modern integrated software development environment (IDE). Programming projects will be required. (Prerequisites: CSCI-141 with a grade of C- or better or equivalent course.) Lec/Lab 6 (Fall, Spring, Summer). | ||
| MATH-181 | General Education – Mathematical Perspective A: Project-Based Calculus I |
4 |
This is the first in a two-course 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. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). | ||
| MATH-182 | General Education – Mathematical Perspective B: Project-Based Calculus II |
4 |
This is the second in a two-course 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 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 (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). | ||
| PHYS-211 | General Education – Scientific Principles Perspective: University Physics I |
4 |
This is a course in calculus-based 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 MATH-181 or equivalent course. Co-requisites: MATH-182 or equivalent course.) Lec/Lab 6 (Fall, Spring). | ||
| YOPS-010 | RIT 365: RIT Connections |
0 |
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 first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring). | ||
General Education – First Year Writing (WI) |
3 | |
General Education – Elective |
3 | |
General Education – Artistic Perspective |
3 | |
General Education – Social Perspective |
3 | |
| Second Year | ||
| CMPE-250 | Assembly and Embedded Programming |
3 |
This course introduces embedded systems, along with fundamental computer organization, assembly language programming, and mixed language programming with C and assembly. Using a modern microcontroller and embedded systems IDE, such as the ARM Cortex-M0+ and Keil Microcontroller Development Kit, the course covers embedded programming concepts and interface modules, as well as addressing methods, machine instructions, assembler directives, macro definitions, code relocatability, subroutine linkage, data structures, I/O programming, exception processing, and interrupts. Program design techniques necessary to write efficient, maintainable device drivers are considered. (Prerequisites: CMPE-160 or EEEE-120 or equivalent courses.
Co-requisites: CSCI-140 or CSCI-142 or CSCI-242 or equivalent courses.) Lab 2 (Fall, Spring). | ||
| CMPE-260 | Digital System Design II |
4 |
This course presents modern approaches to the design, modeling and testing of digital system. Topics covered are: VHDL and Verilog HDL as hardware description languages (HDLs), simulation techniques, design synthesis, verification methods, and implementation with field programmable gate arrays (FPGAs). Combinational and both the synchronous and asynchronous sequential circuits are studied. Testing and design for testability techniques are emphasized and fault tolerant and fail safe design concepts are introduced. Laboratory projects that enable students gain hands-on experience are required. The projects include complete design flow: design of the system, modeling using HDLs, simulation, synthesis and verification. (Prerequisites: CMPE-160 or CMPE-161 or equivalent courses.
Co-requisites: PHYS-212 or PHYS-208 or EEEE-281 or equivalent courses.) Lab 2 (Fall, Spring). | ||
| EEEE-281 | Circuits I |
3 |
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 op-amps 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 battery-powered 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: MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lab 3 (Fall, Spring, Summer). | ||
| EGEN-099 | Engineering Co-op Preparation |
0 |
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 co-op 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). | ||
| MATH-190 | Discrete Mathematics for Computing |
3 |
This course introduces students to ideas and techniques from discrete mathematics that are widely used in Computer Science. Students will learn about the fundamentals of propositional and predicate calculus, set theory, relations, recursive structures and counting. This course will help increase students’ mathematical sophistication and their ability to handle abstract problems. (Co-requisites: MATH-182 or MATH-182A or MATH-172 or equivalent courses.) Lecture 3 (Fall, Spring). | ||
| MATH-219 | Multivariable Calculus |
3 |
This course is principally a study of the calculus of functions of two or more variables, but also includes the study of vectors, vector-valued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, and includes applications in physics. Credit cannot be granted for both this course and MATH-221. (Prerequisite: C- or better MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). | ||
| MATH-231 | Differential Equations |
3 |
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: MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). | ||
| MATH-241 | Linear Algebra |
3 |
This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course. (Prerequisites: MATH-190 or MATH-200 or MATH-219 or MATH-220 or MATH-221 or MATH-221H or equivalent course.) Lecture 3 (Fall, Spring). | ||
| PHYS-212 | General Education – Natural Science Inquiry Perspective: University Physics II |
4 |
This course is a continuation of PHYS-211, 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: (PHYS-211 or PHYS-211A or PHYS-206 or PHYS-216) or (MECE-102, MECE-103 and MECE-205) and (MATH-182 or MATH-172 or MATH-182A) or equivalent courses. Grades of C- or better are required in all prerequisite courses.) Lec/Lab 6 (Fall, Spring). | ||
| SWEN-261 | Introduction to Software Engineering |
3 |
An introductory course in software engineering, emphasizing the organizational aspects of software development and software design and implementation by individuals and small teams within a process/product framework. Topics include the software lifecycle, software design, user interface issues, specification and implementation of components, assessing design quality, design reviews and code inspections, software testing, basic support tools, technical communications and system documentation, team-based development. A term-long, team-based project done in a studio format is used to reinforce concepts presented in class. (Prerequisite: CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124 or equivalent course.) Lec/Lab 3 (Fall, Spring). | ||
General Education – Ethical Perspective |
3 | |
| Third Year | ||
| CMPE-350 | Computer Organization |
3 |
The course covers the important aspects of the design, organization, and performance evaluation of modern computer systems. Topics include computer performance measures, instruction set architecture classification, input/output organization, CPU datapath and control unit design, microprogramming, arithmetic and logic unit design, and the memory hierarchy, including cache levels and virtual memory. (Prerequisites: CMPE-250 or equivalent course.) Lecture 3 (Fall, Spring). | ||
| CMPE-380 | Applied Programming in C |
3 |
This course uses the C language to implement algorithms used in the numerical solution of common problems encountered in science and engineering. Topics include an introduction to C, computer number representation and roundoff error, algorithms for finding roots of nonlinear equations, interpolation, threading, software security, numerical differentiation and integration, function approximation and data fitting solutions to systems of linear equations, and general matrix manipulation. (Prerequisites: MATH-241 and CMPE-250 or equivalent courses.) Lab 2 (Fall, Spring). | ||
| CMPE-499 | Co-op (spring) |
0 |
After completing Co-op Seminar (EGEN-099) or Co-op Workshop as well as meeting Co-op enrollment requirements, Computer Engineering students should register for CMPE-499 for each term of full-time, paid employment in the Computer Engineering field. Students who take on Spring-Summer or Summer-Fall Co-ops must register for both the semester term and the summer term. Students must obtain permission from the Computer Engineering office for any exception to the assigned Co-op blocks. (This class is restricted to CMPE-BS students with at least 3rd year standing who have completed EGEN-99, EEEE-281, SWEN-261 and CMPE-260 or CMPE-499.) CO OP (Fall, Spring, Summer). | ||
| EEEE-282 | Circuits II |
3 |
This course covers the fundamentals of AC circuit analysis starting with the study of sinusoidal steady-state 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 coupled-coils. Linear, ideal and non-ideal 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. Two-port network theory is developed and applied to circuits and interconnections. (Prerequisites: C or better in EEEE-281 or equivalent course.) Lecture 3 (Fall, Spring, Summer). | ||
| EEEE-380 | Digital Electronics |
3 |
This is an introductory course in digital MOS circuit analysis and design. The course covers the following topics: (1) MOSFET I-V 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 precharge-evaluate, domino and transmission gate circuits; (5) Special topics, including static and dynamic MOS memory, and interconnect RLC behavior. (Prerequisites: EEEE-281 or equivalent course.) Lab 3 (Fall, Spring, Summer). | ||
General Education – Global Perspective |
3 | |
| Fourth Year | ||
| CMPE-460 | Interface and Digital Electronics (WI-PR) |
4 |
This course covers various sensors, motors, signal conditioning circuits including amplification, filtering, level shifting, ADC, and DAC. Modern tools, such as Keil ARM MDK and PSpice will be used to simulate and debug modern microcontrollers, such as NXP Kinetis, analog active filters, and operational amplifier application circuits. Each team of two students is required to design a complete data acquisition system from sensors, amplification, filtering, ADC, and DAC to analog outputs through either wired transmission or wireless transmission circuits (Prerequisites: EEEE-282 and (EEEE-380 or EEEE-381) and CMPE-250 or equivalent courses.
Corequisites: CMPE-380 or equivalent course.) Lab 2 (Fall, Spring). | ||
| CMPE-480 | Digital Signal Processing |
3 |
This course introduces the basic elements of continuous and discrete time signals and systems and fundamental signal processing techniques, such as FIR and IIR Filtering, the Fourier transform, the Discrete Fourier transform and the z transform. Theory is strengthened through MATLAB-based projects and exercises. (Prerequisites: MATH-231 and MATH-241 and EEEE-282 or equivalent courses.) Lecture 3 (Fall, Spring). | ||
| CMPE-499 | Co-op (summer) |
0 |
After completing Co-op Seminar (EGEN-099) or Co-op Workshop as well as meeting Co-op enrollment requirements, Computer Engineering students should register for CMPE-499 for each term of full-time, paid employment in the Computer Engineering field. Students who take on Spring-Summer or Summer-Fall Co-ops must register for both the semester term and the summer term. Students must obtain permission from the Computer Engineering office for any exception to the assigned Co-op blocks. (This class is restricted to CMPE-BS students with at least 3rd year standing who have completed EGEN-99, EEEE-281, SWEN-261 and CMPE-260 or CMPE-499.) CO OP (Fall, Spring, Summer). | ||
| CMPE-550 | Computer Architecture |
3 |
The course covers various aspects of advanced uniprocessor computer architecture design. Instruction set architecture design alternatives are discussed with emphasis on the Reduced Instruction Set Computer (RISC) architecture. Techniques to enhance CPU performance such as pipelined execution optimizations, conditional branch handling techniques, exploitation of instruction-level parallelism, multiple-instruction issue, and dynamic scheduling are studied. Cache, and memory hierarchy design and performance issues are also presented. The design aspects of efficient and reliable input/output systems are also covered. The course concludes with an introduction to concepts of multiprocessor systems design. (Prerequisite: CMPE-350 or equivalent course.) Lecture 3 (Fall, Spring). | ||
| CMPE-570 | Data and Communication Networks |
3 |
This course will give an overview of the technologies, architectures and protocols used to build various types of computer and communication networks - wired or wireless. The emphasis will be placed on discussions of various network design problems and solution approaches. Specific issues covered in this course include: framing and coding, error detection, multiple access control, addressing, routing, flow and congestion control, scheduling and switching. (Prerequisites: MATH-251 or 1016-345 or equivalent course.) Lecture 3 (Fall, Spring). | ||
| MATH-251 | Probability and Statistics |
3 |
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 real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). | ||
| PUBL-701 | Graduate Policy Analysis |
3 |
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). | ||
| PUBL-702 | Graduate Decision Analysis |
3 |
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 multi-attribute decision making. Students will apply these tools to contemporary public policy decision making at the local, state, federal, and international levels. Lecture 3 (Spring). | ||
Graduate Professional Elective: Policy Elective |
3 | |
Open Elective |
3 | |
General Education – Immersion 1 |
3 | |
| Fifth Year | ||
3 |
||
| CMPE-495 | Computer Engineering Senior Projects I |
|
The first course of a two-semester capstone undergraduate design projects course in computer engineering. Covers engineering design process and formulating project proposals. Students propose a team multidisciplinary design project, individually undertake an independent analysis of one of its subsystems, and formulate a formal team proposal for the project to be completed in the following course. (Prerequisites: CMPE-460 and at least 4th year standing in CMPE-BS with a minimum of 2 terms of co-op completed.) Lecture 3 (Fall, Spring). | ||
| CMPE-497 | Multidisciplinary Senior Design I |
|
This is the first in a two-course sequence oriented to the solution of real-world 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: CMPE-460 and at least 4th year standing in CMPE-BS with a minimum of 2 terms of co-op completed.) Studio 6 (Fall, Spring). | ||
3 |
||
| CMPE-496 | Computer Engineering Senior Projects II |
|
The conclusion of a two-course capstone undergraduate design projects course in computer engineering. Students will have prepared for the multidisciplinary team project during the previous course and will have done detailed project analysis over the intervening period. This course begins with project design reviews presented to the class and selected faculty members. Project performance analysis and reliability are major metrics. (Prerequisite: CMPE-495 or equivalent course.) Lecture 3 (Fall, Spring). | ||
| CMPE-498 | Multidisciplinary Senior Design II |
|
This is the second in a two-course sequence oriented to the solution of real-world 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. The first course focuses primarily on defining the problem and developing the design, but may include elements of build/ implementation. This second course may include elements of design, but focuses on build/implementation and communicating information about the final design. (Prerequisite: CMPE-497 or equivalent course.) Studio 6 (Fall, Spring). | ||
| PUBL-700 | Readings in Public Policy |
3 |
An in-depth 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 degree-seeking graduate students or those with permission from instructor.) Seminar (Fall). | ||
| PUBL-703 | Evaluation and Research Design |
3 |
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). | ||
| STSO-710 | Graduate Science and Technology Policy Seminar |
3 |
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 degree-seeking graduate students or those with permission from instructor.) Seminar (Fall). | ||
Professional Elective/Graduate Policy Elective |
3 | |
Policy Graduate Elective |
3 | |
General Education – Immersion 2, 3 |
6 | |
Open Elective |
3 | |
6 |
||
| PUBL-785 | Capstone 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). | ||
| PUBL-790 | 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). | ||
| PUBL-798 | Comprehensive Exam plus 2 Graduate Electives |
|
| Total Semester Credit Hours | 150 |
|
Please see General Education Curriculum for more information.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
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About University
Rochester Institute of Technology (Dubai)
Overview:
Rochester Institute of Technology (Dubai) is a branch campus of the renowned Rochester Institute of Technology in the United States. Located in Dubai Silicon Oasis, a special economic zone for knowledge and innovation, RIT Dubai offers a comprehensive range of undergraduate and graduate programs in various fields, including engineering, business, computing, and design. The institution is committed to providing students with a high-quality American education in a dynamic and international setting.
Services Offered:
RIT Dubai provides a wide array of services to support student success, including:
Academic Support Center:
- Offers tutoring, study skills workshops, and other resources to enhance academic performance.
Advising Resources:
- Provides guidance on academic planning, career exploration, and personal development.
Health and Wellness:
- Offers access to healthcare services, counseling, and wellness programs.
Athletics and Recreation:
- Provides opportunities for students to participate in sports, fitness activities, and recreational programs.
Student Leadership:
- Encourages student involvement in clubs, organizations, and leadership initiatives.
Student Accommodation:
- Offers on-campus housing options for students.
Parking and Transportation:
- Provides parking facilities and transportation services for students.
Student Life and Campus Experience:
RIT Dubai fosters a vibrant and inclusive campus community where students can engage in a variety of activities and experiences, including:
Student Life at RIT Dubai:
- Offers opportunities for students to connect with peers, participate in social events, and explore cultural activities.
New Student Orientation:
- Provides a welcoming introduction to campus life and resources.
Co-op and Internship Program:
- Offers students practical work experience through co-op and internship opportunities.
Key Reasons to Study There:
American Degree:
- RIT Dubai offers a true American degree, recognized globally for its quality and rigor.
State-of-the-Art Campus:
- The campus features modern facilities and technology to support learning and research.
Co-op and Internship Program:
- Provides students with valuable work experience and career development opportunities.
Study Abroad Options:
- Offers students the chance to study at other RIT campuses or partner institutions around the world.
Global Connectivity:
- RIT Dubai is located in a dynamic and international hub, providing students with diverse perspectives and networking opportunities.
Academic Programs:
RIT Dubai offers a range of undergraduate and graduate programs, including:
Undergraduate Programs:
- Bachelor of Fine Arts in New Media Design
- Bachelor of Science in Psychology
- Bachelor of Science in Industrial Engineering
- Bachelor of Science in Cybersecurity
- Bachelor of Science in Computing and Information Technologies
- Bachelor of Science in Electrical Engineering
- Bachelor of Science in Mechanical Engineering
- Bachelor of Science in Marketing
- Bachelor of Science in Finance
- Bachelor of Science in Global Business Management
Graduate Programs:
- Master of Science in Organizational Leadership and Innovation
- Masters of Science in Professional Studies: Future Foresight and Planning
- Masters of Science in Engineering Management
- Masters of Science in Mechanical Engineering
- Masters of Science in Professional Studies: Data Analytics
- Masters of Science in Professional Studies: Smart Cities
- Masters of Science in Cybersecurity
- Masters of Science in Electrical Engineering
Other:
- RIT Dubai has a strong focus on innovation and entrepreneurship, with dedicated labs and centers supporting student projects and research.
- The institution boasts a diverse student body representing over 75 nationalities, creating a rich and multicultural learning environment.
- RIT Dubai has a high employability rate, with over 80% of graduates securing employment within six months of graduation.
- The institution has a strong network of alumni, providing students with valuable connections and career support.
Total programs
226
Average ranking globally
#442
Average ranking in the country
#132
Admission Requirements
This program is STEM designated when studying on campus and full time.
First-Year Admission
A strong performance in a college preparatory program is expected. This includes:
- 4 years of English
- 3 years of social studies and/or history
- 4 years of math is required and must include algebra, geometry, algebra 2/trigonometry, and pre-calculus. Calculus is preferred.
- 2-3 years of science. Chemistry and physics are required.
Transfer Admission
Transfer course recommendations without associate degree
Pre-engineering courses such as calculus, calculus-based physics, chemistry, and liberal arts.
Appropriate associate degree programs for transfer
AS degree in engineering science
Financial Aid and Scholarships
100% of all incoming first-year and transfer students receive aid.
RIT’s personalized and comprehensive financial aid program includes scholarships, grants, loans, and campus employment programs. When all these are put to work, your actual cost may be much lower than the published estimated cost of attendance.
Learn more about financial aid and scholarships
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