This text covers the theory and application of operational amplifiers and other linear integrated circuits. It is appropriate for Associate and Bachelors degrees programs in Electrical and Electronic Engineering Technology, Electrical Engineering and similar areas of study. Topics include negative feedback, comparators, voltage amplifiers, summing and differencing amplifiers, high speed and high power devices, non-linear circuit applications, regulators, oscillators, integrators and differentiators, active filters and AD/DA conversion. A companion laboratory manual is available.

This course provides an introduction to optical science with elementary engineering applications. Topics covered in geometrical optics include: ray-tracing, aberrations, lens design, apertures and stops, radiometry and photometry. Topics covered in wave optics include: basic electrodynamics, polarization, interference, wave-guiding, Fresnel and Fraunhofer diffraction, image formation, resolution, space-bandwidth product. Analytical and numerical tools used in optical design are emphasized. Graduate students are required to complete assignments with stronger analytical content, and an advanced design project.

The purpose of this course is to discuss modern techniques of generation of x-ray photons and neutrons and then follow with selected applications of newly developed photon and neutron scattering spectroscopic techniques to investigations of properties of condensed matter which are of interest to nuclear engineers.

Optical and optoelectronic properties of semiconductors, ceramics, and polymers. Electronic structure, refractive index, electroluminescence, electro-optic and magneto-optic effects, and laser phenomena. Microphotonic materials and structures; photonic band gap materials. Materials design and processing for lasers, waveguides, modulators, switches, displays and optoelectronic integrated circuits. Alternate years. This course covers the theory, design, fabrication and applications of photonic materials and devices. After a survey of optical materials design for semiconductors, dielectrics and polymers, the course examines ray optics, electromagnetic optics and guided wave optics; physics of light-matter interactions; and device design principles of LEDs, lasers, photodetectors, modulators, fiber and waveguide interconnects, optical filters, and photonic crystals. Device processing topics include crystal growth, substrate engineering, thin film deposition, etching and process integration for dielectric, silicon and compound semiconductor materials. The course also covers microphotonic integrated circuits and applications in telecom/datacom systems. Course assignments include four design projects that emphasize materials, devices and systems applications.

This class will study the behavior of photovoltaic solar energy systems, focusing on the behavior of "stand-alone" systems. The design of stand-alone photovoltaic systems will be covered. This will include estimation of costs and benefits, taking into account any available government subsidies. Introduction to the hardware elements and their behavior will be included.

Overview of engineering analysis and design techniques for synthetic polymers. Treatment of materials properties selection, mechanical characterization, and processing in design of load-bearing and environment-compatible structures.

Experiments broadly aimed at acquainting students with the range of properties of polymers, methods of synthesis, and physical chemistry. Examples: solution polymerization of acrylamide, bead polymerization of divinylbenzene, interfacial polymerization of nylon 6,10. Evaluation of networks by tensile and swelling experiments. Rheology of polymer solutions and suspensions. Physical properties of natural and silicone rubber.

You can build a wide range of practical electronic devices if you understand a few basic electronics concepts and follow some simple rules. These devices include light-activated and sound-activated toys and appliances, remote controls, timers and clocks, and motorized devices. The subject begins with an overview of the fundamental concepts, followed by a series of laboratory exercises that demonstrate the basic rules, and a final project.

Vectors - dot product, projection, decomposition of a vectorTMM 002 PRECALCULUS (Revised March 21, 2017)AdditionalOptional Learning Outcomes:2. Geometry: The successful Precalculus student can:2e. Interpret the result of vector computations geometrically and within the confines of a particular applied context (e.g., forces).Sample Tasks:The student can define vectors, their arithmetic, their representation, and interpretations.The student can decompose vectors into normal and parallel components.The student can interpret the result of a vector computation as a change in location in the plane or as the net force acting on an object.

Principles of Continuum Applied Mathematics covers fundamental concepts in continuous applied mathematics, including applications from traffic flow, fluids, elasticity, granular flows, etc. The class also covers continuum limit; conservation laws, quasi-equilibrium; kinematic waves; characteristics, simple waves, shocks; diffusion (linear and nonlinear); numerical solution of wave equations; finite differences, consistency, stability; discrete and fast Fourier transforms; spectral methods; transforms and series (Fourier, Laplace). Additional topics may include sonic booms, Mach cone, caustics, lattices, dispersion, and group velocity.

This course surveys a variety of reasoning, optimization and decision making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their application, taken from the disciplines of artificial intelligence and operations research. Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, and machine learning. Optimization paradigms include linear programming, integer programming, and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes.

This class introduces students to the interdisciplinary nature of 21st-century engineering projects with three threads of learning: a technical toolkit, a social science toolkit, and a methodology for problem-based learning. Students encounter the social, political, economic, and technological challenges of engineering practice by participating in real engineering projects with faculty and industry; this semester's major project focuses on the engineering and economics of solar cells. Student teams will create prototypes and mixed media reports with exercises in project planning, analysis, design, optimization, demonstration, reporting and team building.

This course presents principles of naval architecture, ship geometry, hydrostatics, calculation and drawing of curves of form, intact and damage stability, hull structure strength calculations and ship resistance. It introduces computer-aided naval ship design and analysis tools. Projects include analysis of ship lines drawings, calculation of ship hydrostatic characteristics, analysis of intact and damaged stability, ship model testing, and hull structure strength calculations.

This course introduces dynamic processes and the engineering tasks of process operations and control. Subject covers modeling the static and dynamic behavior of processes; control strategies; design of feedback, feedforward, and other control structures; model-based control; and applications to process equipment.

Are you involved in the development and execution of technical projects and eager to know what it takes to fund a project successfully? Would you like to be more in touch with the latest developments in project finance and able to use these to your advantage? If so, you’re in the right place!

This course will provide you with the fundamental knowledge and necessary tools to create the optimum financing structure for your project and enhance its potential to attract funding.

The approach taken is both theoretically sound and practically relevant. This is achieved by using case studies to illustrate the topics, as well as assignments that give learners first-hand experience in what it takes to put together a financeable project.

At the end of the course, you’ll understand what is required to achieve successful project financing.

Those who work on infrastructure and industrial projects, especially, will need to have a good understanding of how project financing works and how project investors and lenders think and assess the risks of a project.

Projects are increasingly set up through cooperation between different groups of stakeholders such as Public Private Partnerships (PPPs). Project contracts are evolving to facilitate and structure such co-operations, which has in turn led to a range of novel contracts and methods of financing.

" This is an engineering laboratory subject for mechanical engineering juniors and seniors. Major emphasis is on interplay between analytical and experimental methods in solution of research and development problems. Communication (written and oral) of results is also a strong component of the course. Groups of two or three students work together on three projects during the term."

Underestimating project complexity is widely accepted as one of the major causes of project failure. Based on international benchmarking activities (Merrow, 2010), we know that an average of 40% of projects do not deliver what they promised; for megaprojects in the oil and gas industry this figure is even worse (Ernst&Young, 2014).

As with most external factors, many of the causes and consequences of complexity are difficult to avoid or control. When dealing with complexity, standard practices in the field of project management often overlook the inherent uncertainties linked to the length and scale of engineering and infrastructure projects and their constantly changing environments. The situation is exacerbated by rapidly evolving technologies and social change.

Attempts to overcome these challenges by simply trying to reduce their causes is not enough.

In this course, you will learn our approach to mastering complexity, focused on front-end development and teamwork, which will help you develop the skills you need to make timely actions in order to tackle complexities and improve your chances of project success. You will learn how to enhance your own capacities and capabilities by ensuring you have the necessary balance of complementary skills in your team.

Project success starts with recognizing the main drivers of complexity, which can be highly subjective and highly dynamic. In this course, you will learn to identify what makes a project complex and how to perform a complexity assessment.

Examining the elements of a project (such as interfaces, stakeholders, cultures, environment, technology, etc.) and their intricate interactions is key to mastering complexity.

You will analyze these elements in the context of your own project. Then, based on our complexity framework, you will identify the complexity footprint of your project and use it to adapt your management processes. With personalized guidance and feedback from our world-class instructors, you will learn how to recognize what competencies you need to develop and how to adapt your management style accordingly, not only to improve project performance but also to enhance your decision-making capacity.

Are you a (project) engineer with a technical background but lack management knowledge? Are you eager to improve project performance and want to expand your knowledge?

This business and management course will focus on the necessary project management skills to successfully manage projects, distinguishing three areas:

The project manager and the team
The project process
The project context

The course focuses on the early project phases, including examples from technical projects within various sectors and industries (amongst others, but not limited to, infrastructure projects and construction projects).

At the end of this course, you will have created your own project execution plan, either in a team effort or on individual basis. Of course, the team effort allows for a special learning experience and we appraise active team participation.

Public policy issues are important to every field of engineering. Yet, most engineering students know little about the topic. For most students, however, an entire course focused on the topic is not necessary. For example, a class on engineering design could incorporate a case study on 3D printing policy.

This course will introduce students to the interrelationship of engineering and public policy, how to conduct neutral policy analysis, and then apply that knowledge in case studies to practice the skills they have learned. The modules takes a flipped classroom/active learning approach by using short videos to educate students, activities to practice the skills taught, and incorporates real-world examples such as hydraulic fracturing, drones, and 3D printing.

This subject introduces the key concepts and formalism of quantum mechanics and their relevance to topics in current research and to practical applications. Starting from the foundation of quantum mechanics and its applications in simple discrete systems, it develops the basic principles of interaction of electromagnetic radiation with matter. Topics covered are composite systems and entanglement, open system dynamics and decoherence, quantum theory of radiation, time-dependent perturbation theory, scattering and cross sections. Examples are drawn from active research topics and applications, such as quantum information processing, coherent control of radiation-matter interactions, neutron interferometry and magnetic resonance.