32 courses with the subject EECE, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
EECE 1151MATLAB based Engineering Graphics1
This course is designed to develop fundamental skills and working knowledge of handling graphics based on MATLAB. Topics include 2D/3D plotting, image file manipulation, and graphics outputs. A limited introduction to animation and GUI is also included.
Electrical conduction in metals, energy band models for electrical conduction, charge carriers, intrinsic semiconductors, extrinsic semiconductors, semiconductor junctions and devices; diodes, diode models; transport models and characteristics of bipolar junction (BJT); introduction to field effect transistors (MOSFETs & JFETs).
Steady-state A.C. circuits; polyphase circuits; complex frequencies; resonance and frequency response; Bode plots; magnetically coupled circuits; two-port networks; Introduction to Fourier analysis. One hour of recitation is required.
Poisson’s and Laplace’s equations; time-varying fields and Maxwell’s equations; plane wave propagation in free space, dielectrics and conductors; transmission lines.
AC and DC models of diodes, bipolar and FET transistors; theory, design, and analysis of single and multi-stage amplifiers at low, mid and high frequencies; design of op-amp circuits; transfer functions, analog computer and active filters.
AC and DC models of diodes, bipolar and FET transistors; theory, design, and analysis of single and multi-stage amplifiers at low, mid, and high frequencies; design of op-amp circuits; transfer functions, analog computer and active filters. Laboratory:
Introduction to the application of semiconductor devices in amplification, generation and control of electrical energy. Topics covered include operation, modeling, analysis of power semiconductor devices such as diodes, SCR’s and triacs, analysis and design of controlled rectifiers and control of motors.
Magnetic circuits; single-phase and three-phase transformers; transformer design using voltage regulation, efficiency, and temperature rise; theory; analysis, and modeling of three-phase induction motors, synchronous machines and direct current machines, two-phase servo motors.
Advanced programming tools and techniques using Python language in the development of solutions for real-world engineering problems. Topics include; Python functions, arithmetic, and structured commands; working with Python lists, tuples, dictionaries, sets, strings, files, and modules; Programming modern graphical user interface and hardware interface with embedded systems.
Basic principles of robotics and design of robot systems. Sensing position and velocity; concepts of robot coordinate systems, kinematics, dynamics, path control, velocity control, force control and compliance. Introduction to vision and robot programming languages.
A course which follows the software life cycle from the requirement, specification, and design phases through the construction of actual software. Topics include management of programming teams, design and programming methodologies, debugging aids, documentation, evaluation and measurement of software, verification and testing techniques, the problems of maintenance, and portability and application of CASE tools.
This course presents the integration of microprocessors into digital systems. Topics include hardware interfacing, bus protocols and peripheral systems, embedded and real-time operating systems, real-time constraints, networking, and memory system.
Studies of different artificial intelligence (AI) and machine learning (ML) concepts and techniques include neural network topologies and ML algorithms, supervised and unsupervised training algorithms, Deep learning networks, and training algorithms. The course starts with an introduction to the math and theory behind AI and ML and the usage of these tools. Finally, it present applications of AI and ML in the different engineering disciplines.
EECE 4570CYBERSECURITY FOR CYBER-PHYSICAL SYSTEMS3
This comprehensive course will guide students through understanding the basics of cybersecurity and protocols necessary for building robust Cyber-Physical Systems ( CPS). Students will learn the anatomy of CPS attack scenarios, CPS cybersecurity risk assessment, the Purdue model and a converged networkwide internet, the defense-in-depth model, CPS vulnerabilities, CPS network security, CPS device security, and CPS protection schemes.
Advanced Engineering Programming (EECE 3600) or equivalent.
EECE 4600Introduction to Biomedical Engineering3
A multi-disciplinary course in biomedical engineering which includes: basics of anatomy and physiology, bio-electric phenomena, biomedical sensors, bio-signal processing, medical imaging, physiological modeling, biotechnology, and rehabilitation engineering. Laboratory experiments for biomedical project design are also part of this course.
