Students will gain experience and a better understanding of the application of technologies discussed in classes by working in the field of computing security. Students will be evaluated by their employer. If a transfer student, they must have completed one term in residence at RIT and be carrying a full academic load.

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.

This course covers: 1) the first principles and fundamentals of energy conversion: 2) The fundamentals of electromechanical, related electromagnetic topics, electric variables and electromagnetic forces. The basic concepts of energy conversion systems, DC electric machines, induction & synchronous electric machines (motors & generators) used in power systems, automotive, industrial, robotics and other applications are presented. The theory of energy conversion and electromechanical motion devices are covered.

The courses will introduce Artificial Intelligence and Machine Learning topics with practical examples of data, tools, and algorithms. In addition to C, C++, and Matlab, a scripting language (i.e. Python) will be used and taught throughout the course. The course will explore basic artificial intelligence techniques and their applications to engineering problems. Students will be introduced to the following AI foundations: probability and linear algebra, state spaces, algorithms, data processing, feature extraction, feature reduction, classification, and decision making. Some of the techniques and tools to be covered in this course are inference, regression, linear discriminant analysis, decision trees, neural networks, deep learning platforms and architectures, and reinforcement learning. Students are expected to have any of the following programming skills: C/C++, Matlab, Java, or any other high level programming language.

One semester of paid work experience in electrical engineering.

A first course introducing students to the fundamentals of computational problem solving. Students will learn a systematic approach to problem solving, including how to frame a problem in computational terms, how to decompose larger problems into smaller components, how to implement innovative software solutions using a contemporary programming language, how to critically debug their solutions, and how to assess the adequacy of the software solution. Additional topics include an introduction to object-oriented programming and data structures such as arrays and stacks. Students will complete both in-class and out-of-class assignments.

Students perform paid, professional work related to their program of study. Students work full-time during the term they are registered for co-op. Students must complete a student co-op work report for each term they are registered; students also are evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op report and a corresponding employer report that indicates satisfactory student performance are received.

Independent study offers a student an opportunity to explore, in greater depth, a topic previously introduced in a prior course or a topic of special interest. A faculty member supervises the student's work. A student and faculty member will collaboratively develop an independent study proposal that describes the student's plan of work, expected deliverables, evaluation criteria, and number of credits that will be earned. Requires department consent.

This course is designed to give students an understanding of the role of the system administrator in large organizations. This will be accomplished through a discussion of many of the tasks and tools of system administration. Students will participate in both a lecture section and a separate lab section. The technologies discussed in this class include: operating systems, system security, and service deployment strategies.

This course provides an introduction to wired network infrastructures, topologies, technologies, and the protocols required for effective end-to-end communication. Basic security concepts for TCP/IP based technologies are introduced. Networking layers 1, 2, and 3 are examined in-depth using the International Standards Organization’s Open Systems Interconnection and TCP/IP models as reference. Course topics focus on the TCP/IP protocol suite, the Ethernet LAN protocol, switching technology, and routed and routing protocols common in TCP/IP networks. The lab assignments mirror the lecture content , providing an experiential learning component for each topic covered.

This class will take the students through the evolution of virtualization. The class begins with virtual network topologies such as VLANs, trunks and virtual routing and forwarding. The class will examine the various desktop virtualization platforms (Type 1) such as VirtualBox and VMWare workstation. Midway through the class students will transition into bare metal hypervisors (Type 2) and server virtualization. Elements of software defined networking, storage (ex. iSCSI) and cloud computing will also be discussed.

This course will investigate the protocols used to support network based services and the tasks involved in configuring and administering those services in virtualized Linux and Windows internet working environments. Topics include an overview of the TCP/IP protocol suite, in-depth discussions of the transport layer protocols, TCP and UDP, administration of network based services including the Dynamic Host Configuration Protocol (DHCP), Domain Name Service (DNS), Secure Shell (SSH), and Voice Over IP (VoIP). Students completing this course will have thorough theoretical knowledge of the Internet Protocol (IP), the Transport Control Protocol (TCP), and the User Datagram Protocol (UDP), as well as experience in administering, monitoring, securing and troubleshooting an internet work of computer systems running these protocols and services.