Schedule of Classes

Introduction to logic design with focus on the following topics: fundamentals of Boolean algebra and minimization techniques, logic realizations of SOP and POS functions, multiple function synthesis using PLDs, combinational circuit design as it applies to computers, sequential circuit elements, flip flops, counters and shift-registers, clock generation circuits, algorithmic state machine method of designing sequential circuits, and VHDL design and synthesis. Course culminates with a design project that uses VHDL to implement a finite state machine.

Introduction to computers and operating systems; introduction to programming in a high level language appropriate to electrical engineering.

Full-time cooperative education assignment for electrical engineering students who alternate periods of full-time school with periods of full-time academic or career-related work in industry. Satisfactory/Unsatisfactory.

Introduction to experimental design and implementation of analog and digital electronic circuits and systems. Students develop hardware and software troubleshooting and testing skills. The design experience culminates in a multi-week, specification-driven project.

Introduce fundamentals of electrical engineering principles. Basic circuit theory, Operational Amplifiers, First and second order passive circuits, AC sinusoidal analysis, Frequency Responses, Digital logic circuits, DC motors and generators, and accompanying laboratory experiments and projects. Open to non-electrical engineering majors only.

Fundamentals on analog IC and digital IC. Building blocks of integrated-circuit amplifiers. Differential and Multistage amplifiers. Power amplifiers. Feedback and filters. Oscillators. CMOS digital logic circuits. Memory and Clocking circuits. Electronic control devices and circuits. Simulations and experiments of electronic devices and circuits.

It provides the time and context necessary for students to learn and practice many different professional skills, make substantial contributions to a project, and experience many different roles in a team. Under the approval of department and advisors, up to 1 credit hour per semester for first and second year students; up to 2 credit hours per semester for third year students; not open to graduating senior students in ECE department.

Continuation of multidisciplinary team effort to prepare a business plan for the launch of a venture based on the electronic product proposed and analyzed in ECE 401. Each student will also gain insight into the critical importance of professional ethics by identifying and analyzing a case in which flawed ethical decisions lead to negative outcomes for individuals and their company. Both deliverables require significant writing, the quality of which will have a major impact on the student's grade.

Topics of special interest which may vary each time course is offered. Topic stated in current Schedule of Classes.

The analysis and control of distributed dynamic systems, distributed learning and control issues in dynamic systems, distributed control and estimation of multiple dynamic systems, use of fundamental tools in modeling and control of linear and nonlinear dynamic systems, applications of distributed learning and control for multiple dynamic systems through case studies in multiple robot coordination and distributed power grids. Cross-listed as ECE 543.

Experiments in transformers and rotating machines. Covered topics: electric machinery principles; brushed DC motor connections, operational characteristics, and applications; linear brushed DC motor model development, simulation, and verification; wound rotor and squirrel cage AC induction motor connections, operational characteristics, and applications; linear single-phase transformer model development and verification; power electronic H-bridge.

Review of transmission lines, impedance matching and transformations, S-parameters, passive RF junctions, RF amplifier design, RF systems, and front-end design. Cross-listed as ECE 551.

This course covers the theory, design, and engineering applications of machine learning with the emphasis on computational intelligence. Embedded hardware platforms, high-performance libraries, and high-performance architectures are used for implementation. Variants such as Deep Neural Networks and Convolutional Neural Networks are examined. Cross-listed as ECE 565.

Understanding of Linux and its adoption as an embedded OS platform, including process and thread management; communication, synchronization, and deadlocks; virtual memory and file systems; overview of methods and techniques to design and create embedded systems based on the Linux kernel. The essentials of the Linux operating system are discussed from the embedded system point of view, including selecting, configuring, cross-compiling, and installing a target-specific kernel, drivers, and subsystems; the GNU development tool chain; and tools used to build embedded Linux systems. Cross-listed as ECE 572.

Introductory topics in industrial automation cyber-physical systems security, fundamental security primitives specific to cyber-physical systems, and their application to a broad range of current and future security challenges. Purdue Model for ICS Security. Industrial control systems as an example instance of cyber-physical systems. Cross-listed as ECE575.

Continuation of the design and implementation of the senior design capstone project. Culminates in an oral presentation and a written report.

The analysis and control of distributed dynamic systems, distributed learning and control issues in dynamic systems, distributed control and estimation of multiple dynamic systems, use of fundamental tools in modeling and control of linear and nonlinear dynamic systems, applications of distributed learning and control for multiple dynamic systems through case studies in multiple robot coordination and distributed power grids. Cross-listed as ECE 443.

Experiments in transformers and rotating machines. Covered topics: electric machinery principles; brushed DC motor connections, operational characteristics, and applications; linear brushed DC motor model development, simulation, and verification; wound rotor and squirrel cage AC induction motor connections, operational characteristics, and applications; linear single-phase transformer model development and verification; power electronic H-bridge. Cross-listed as ECE 446. Not open to students with credit in ECE 446.

Review of transmission lines, impedance matching and transformations, S-parameters, passive RF junctions, RF amplifier design, RF systems, and front-end design. Cross-listed as ECE 451.

This course covers the theory, design, and engineering applications of machine learning with the emphasis on computational intelligence. Embedded hardware platforms, high-performance libraries, and high-performance architectures are used for implementation. Variants such as Deep Neural Networks and Convolutional Neural Networks are examined. Cross-listed as ECE 465.

Understanding of Linux and its adoption as an embedded OS platform, including process and thread management; communication, synchronization, and deadlocks; virtual memory and file systems; overview of methods and techniques to design and create embedded systems based on the Linux kernel. The essentials of the Linux operating system are discussed from the embedded system point of view, including selecting, configuring, cross-compiling, and installing a target-specific kernel, drivers, and subsystems; the GNU development tool chain; and tools used to build embedded Linux systems. Cross-listed as ECE 472.

Introductory topics in industrial automation cyber-physical systems security, fundamental security primitives specific to cyber-physical systems, and their application to a broad range of current and future security challenges. Purdue Model for ICS Security. Industrial control systems as an example instance of cyber-physical systems. Not open to students with credit in ECE 475.

Topics of special interest which may vary each time course is offered. Topic stated in current Schedule of Classes. Repeatable to a maximum of 6 semester hours.

Graduate research on a project selected by student and advisor. Repeatable to a maximum of 6 semester hours.

Advanced electrical and computer engineering research or design under the guidance of a faculty advisor. Required of students choosing thesis option. Repeatable to a maximum of 6 semester hours.