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  • 4.00 Credits

    A comprehensive exploration of wearable technology through hands-on projects. Students will study the history and evolution of wearable devices, the design and evaluation of new technologies, as well as human-machine interaction. Students will engage in projects such as remotely controlling a robotic hand with a wearable glove, building heart rate and oximetry monitors for medical devices, creating a personalized mini-Fitbit that can count steps and monitor biometrics signals, and designing wearables that enhance athletic training through sensory feedback. Additionally, the course covers the fundamentals of initiating an innovative research project, offering students the chance to present their work at the Trailblazer Symposium. **COURSE LEARNING OUTCOMES (CLOs)** At the successful conclusion of this course students will: 1) Design and prototype wearable technology using sensors and microcontrollers. 2) Apply human-centered design principles to create assistive devices. 3) Develop hands-free assistive technology. 4) Acquire and apply new knowledge using appropriate learning strategies. Prerequisites: MECH 2250 (grade C- or higher) OR Instructor Permission. SP
  • 3.00 Credits

    Covers discrete-time systems and signals, z-transforms, and discrete-time Fourier transforms. Other topics include finite-impulse response and infinite impulse response digital filter design, sampling, signal quantization, and spectral transformation. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Analyze complex systems using discrete-time filters. 2. Construct digital filters to meet specified requirements. 3. Test physical systems experimentally and compare to theoretical results. 4. Discriminate between appropriate uses of the discrete-time transforms and digital filters. Prerequisites: ECE 3500 (Grade C- or higher).
  • 3.00 Credits

    Methodologies and algorithms for processing digital images with software. Topics include gray level transformations, histogram analysis, spatial domain filtering, 2D Fourier transforms, frequency domain filtering, image restoration, and reconstruction of computed tomography (CT) medical images. **COURSE LEARNING OUTCOMES (CLOs)** At the successful conclusion of the course students will: 1. Recognize terminology used in image processing algorithms, acquisition, and storage. 2. Manipulate digital images in the spatial domain and in the frequency domain. 3. Assess image processing results related to a particular image processing algorithm. 4. Implement image processing algorithms using software. Prerequisite: MECH 2250 (grade C- or higher) OR Instructor Permission.
  • 4.00 Credits

    The course covers topics related to power processing electronic circuits, including rectifiers, AC voltage controllers, frequency converters, DC-DC converters, and inverters. It also introduces the fundamentals of power semiconductor devices such as SCRs, IGBTs, and MOSFETs. Detailed analysis of these power circuits is provided, along with explanations of waveforms and control techniques. Furthermore, the course delves into the applications of power electronic technology in various sectors, including power generation and transmission, as well as everyday uses like battery chargers, motor drives, and power supplies. **COURSE ENROLLMENT CLASSIFICATION (CLOs)** At successful conclusion of this course students will: 1) Identify and analyze power converters such as ac-dc, dc-dc, dc-ac, and ac-ac. 2) Design power converters. 3) Analyze power electronics for motor drives, SMPS, and PV based power generation. 4) Acquire and apply new knowledge using appropriate learning strategies. Prerequisites: MECH 2250 (grade C- or higher) OR Instructor Permission. FA
  • 3.00 Credits

    Presents advanced topics for embedded systems, including hardware and software for real-time systems. Topics include scheduling paradigms, synchronization, inter-process communication, feedback control, verification & validation, and issues in safety-critical embedded systems. The laboratory associated with the course includes labs in these topics and a design project for students. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Design a real-time embedded system with appropriate consideration for issues unique to real-time systems. 2. Describe communication protocols, verification & validation, and software architectures that are unique to real-time embedded systems. 3. Develop software for an embedded real-time system. 4. Analyze hardware for sensing and actuation based on needs for an embedded system. Prerequisites: (ECE 3730 AND MECH 2250) (all grade C- or higher) AND ECE 4735 (Grade C- or higher, can be taken concurrently). SP
  • 1.00 Credits

    Lab portion of 4730. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Integrate hardware and software in an embedded system that meets specified needs. 2. Consider trade-offs when selective actuators, sensors, and microcontrollers in embedded systems. 3. Identify errors in the software to run a real-time embedded system. 4. Defend in writing the choices in an embedded system design. Prerequisites: ECE 4730 (Grade C- or higher, can be taken concurrently). SP
  • 1.00 - 3.00 Credits

    An independent research course that allows upper-level electrical and computer engineering students to work closely with a faculty member to explore engineering through research. Projects are chosen at the discretion of the faculty member. Students will have an opportunity to present their research at Engineering Design Day or similar venue. Repeatable up to 3 credits subject to graduation restrictions. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Identify and compile background pertaining to the research project. 2. Propose solutions pertaining to the research project using engineering design principles and/or the scientific method. 3. Model and analyze a system pertaining to the research project. 4. Design and conduct experiments and interpret associated results pertaining to the research project. 5. Draw conclusions and identify future work pertaining to the research project. Prerequisites: Instructor permission.
  • 1.00 - 4.00 Credits

    Specialized topics in Electrical and Computer Engineering used to fulfill technical elective requirements. Repeatable up to 24 credits subject to graduation restrictions. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Formulate and evaluate complex engineering problems by applying principles of engineering, science, and mathematics. 2. Model, analyze, and design electrical/electronic/mechatronic systems that accomplish a specified task or objective. Prerequisites: MECH 2250 (Grade C- or higher).
  • 0.50 - 3.00 Credits

    Specialized topics in Electrical and Computer Engineering used to fulfill technical elective requirements. Repeatable up to 18 credits subject to graduation restrictions. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Design experiments for electrical/electronic systems or processes, analyze experimental data, and make informed conclusions from the data. 2. Design, prototype, and troubleshoot electrical/electronic/mechatronic systems that accomplish a specified task or objective.
  • 3.00 Credits

    Fulfills General Education Social and Behavioral Sciences requirement and is an approved Global and Cultural Perspectives course. However, this course does not fulfill School of Business degree requirements but can be used as elective credit. This course offers an introduction to the economic theories of scarcity, consumer and producer choice, competition and monopoly, labor, capital, resource markets, antitrust and other government regulations, and income distribution in order to understand and appreciate the ideas, processes, dynamics, and institutions that underlie the social and economic system. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Understand and apply the concept of opportunity cost and the principles of supply and demand. 2. Understand and apply the principle of profit maximization, the connection between elasticity and revenue, and how firm operations differ in different market structures. 3. Analyze economic principles relating to complex social issues in order to identify alternative actions society may take, with applications to national income, inflation, and unemployment. 4. Provide coherent written and oral explanations of economic news reports. FA, SP