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Course Criteria
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3.00 Credits
This course is an engineering view of data communications within the areas of networking, wireless communications and Telecom. Topics include open systems network models (OSI), telephone systems, fiber optic communications, wireless systems, TCP/IP and other protocols, error detection and correction, and other engineering related topics within network communication areas. Prerequisite: ENGN2070. Quarter Credit Hours 4.5
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3.00 Credits
This is the first course dealing with the principles of networking. Students study the network models, which include topologies, components, modes of transmission and communication over different mediums. Topics include LAN/WAN and MAN technologies, wiring schemes, interface hardware, addressing and component identification. Prerequisite: ENGN3065. Quarter Credit Hours 4.5
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3.00 Credits
This second course on digital system design emphasizes design and implementation of a stored-program digital computer system, central processing unit (CPU) design, memory organization, input/output (I/O) organization, ALU design and computer arithmetic, and pipelining and vector processing. This design-based course requires intensive computer laboratory work using available digital circuit simulators. Prerequisite: ENGN3050. Quarter Credit Hours 4.5
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3.00 Credits
This introductory course addresses the application of scientific and engineering efforts in order to translate specific operational requirements into a system configuration. The course emphasizes a goal-and-teamoriented approach to representative system projects. The goal of this total engineering effort is the creation of an effective and efficient product within specified cost, time and performance envelopes. Prerequisite: MATH1013 or higher. (PT) Quarter Credit Hours 4.5
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3.00 Credits
AND MEASUREMENT This course addresses the critical role of performance in the modeling, design, assessment, operation and management of a system. Emphasis is placed on the identification and development of both qualitative performance criteria and quantitative performance criteria. Data-acquisition and processing requirements for these criteria are also considered both for online and offline system assessment. Prerequisite: ENGN3085. (PT) Quarter Credit Hours 4.5
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4.50 Credits
This course is an introduction to standards and regulatory codes governing the design and manufacturing of products and work environments. Standards for procedures and processes as related to design, manufacture, and configuration management are defined and case studies are used to develop relevant concepts. Codes and ergonomic concepts are presented and developed as the driving forces behind standards applied to design, manufacturing and work environments. (HO) (PT) Quarter Credit Hours 4.5
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4.50 Credits
practice This course is an introduction to quality control and professional practice as related to design and configuration management, with the concept of QC as the techniques and activities to achieve, sustain and improve the quality of products, services and project development. Quality control becomes the responsibility of everyone involved in the design of products or project management. Professional practice covers the general application of regulations, restrictions, record keeping, and ethics related to engineering design and project management. (HO) Quarter Credit Hours 4.5
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3.00 Credits
This course is an introduction to configuration management as a solution to engineering problems. Students are introduced to project management, change orders, documentation revision, product and project flow processes, and methods used to control products. Applications of CM are applied to the private corporate sector as well as to government agencies. Prerequisite: Senior status. (HO) (WI) Quarter Credit Hours 4.5
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3.00 Credits
The advent and availability of micro-miniaturization, computational power and artificial intelligence offer the unique potential for the formulation design, development and employment of "intelligent systems". Thepotential for knowledge acquisition, knowledge representation, inference capability, uncertainty reduction, and the success of expert systems, together with the ability to embed extraordinary computational power in components, devices, subsystems, etc., have opened the gateway to very robust or "intelligent systems."Conventional control and management strategies are reviewed and then enhanced by the inclusion of adaptive, learning and optimization techniques. Prerequisite: FIT1020 or FIT1030. Quarter Credit Hours 4.5
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3.00 Credits
This course involves the study of Fourier analysis for discrete-time and continuous-time signals and systems, difference equation, Z-transforms, digital filter structures and transfer functions. Analysis of sampling and aliasing effects are also presented with design algorithms for IIR and FIR Digital filters. Digital signal processing functions are also discussed. Prerequisite: MATH2043. (HO) Quarter Credit Hours 4.5
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