Design, simulation, and optimization of integrated photonics structures, the notion of fabless silicon photonics, metal and dielectric waveguides, planar waveguide modes, coupled mode theory, integrated passive couplers and splitters, Mach-Zehnder Interferometers, ring and disk resonators, adiabatic couplers, Bragg gratings, grating and edge couplers, photonic crystal waveguides and structures, principles of integrated modulator and detector operation, fabrication-dependent design considerations, use of transfer matrix, eigenmode expansion, and finite difference time-domain simulation techniques throughout the semester, design oriented and simulation based assignments and term project.

Examine the technologies, environmental impacts and economics of main energy sources of today and tomorrow including fossil fuels, nuclear power, biomass, geothermal energy, hydropower, wind energy, and solar energy. Energy storage systems. Comparison of different energy systems within the context of sustainability.

A capstone design course where students apply engineering and science knowledge in an electrical-electronics engineering design project. Development, design, implementation and management of a project in teams under realistic constraints and conditions. Emphasis on communication, teamwork and presentation skills..

A capstone design project on an industrially relevant problem. Students work on teams in consultation with various faculty and industrial members.

Sound and human speech systems, phonetics and phonology, speech signal representations, role of pitch and formants, pitch-scale and time-scale modifications, basics of speech coding and VoIP systems, fundamentals of pattern and speech recognition, search algorithms for speech recognition.

Review of multi-dimensional sampling theory, aliasing, and quantization, fundamentals of color, human visual system, 2-D Block transforms, DFT, DCT and wavelets. Image filtering, edge detection, enhancement, and restoration. Basic video file formats, resolutions, and bit rates for various digital video applications. Motion analysis and estimation using 2D and 3D models. Motion-compensated filtering methods for noise removal, de-interlacing, and resolution enhancement. Digital image and video compression methods and standards, including JPEG/JPEG2000 and MPEG-1/2 and 4. Content-based image and video indexing and MPEG-7.

The optoelectronic devices such as light-emitting diodes, lasers, photodetectors, etc. are widely used in modern lighting, information and telecommunication technologies. We will discuss the following topics with mathematical derivations and exciting practical examples: wave nature of light, dielectric waveguides and optical fibers, semiconductor science and light-emitting diodes, stimulated emission devices: optical amplifiers and lasers, photodetectors and image sensors, and polarization and modulation of light.

Basic principles, techniques, and instruments used in biomedical optical research. Scattering, absorption, fluorescence and polarization, and how these properties can be utilized in biomedical diagnostics and imaging. Modelling of light-tissue interactions. Ballistic imaging and microscopy. Optical coherence tomography. Optical biosensors

Design, simulation, and optimization of integrated photonics structures, the notion of fabless silicon photonics, metal and dielectric waveguides, planar waveguide modes, coupled mode theory, integrated passive couplers and splitters, Mach-Zehnder Interferometers, ring and disk resonators, adiabatic couplers, Bragg gratings, grating and edge couplers, photonic crystal waveguides and structures, principles of integrated modulator and detector operation, fabrication-dependent design considerations, use of transfer matrix, eigenmode expansion, and finite difference time-domain simulation techniques throughout the semester, design oriented and simulation based assignments and term project.

A series of lectures given by faculty or outside speakers.

Interns will spend four weeks in the Emergency Department. They will take an active role in the initial evaluation and treatment of patients, work alongside senior residents, attendings, and nursing staff, and are exposed to wide variety of patients, medical and surgical emergencies, and procedures. Interns will gain valuable experience, as they will be able to follow patients from presentation, through their workup, and onto their diagnosis and management. Interns will evaluate the patients’ level of urgency, learn and apply triage principles. Learn the basic interventions (such as urinary catheter, N/G gavage, taking blood sample, intubation etc). Interns will participate in daily teaching sessions, weekly departmental conferences, as well as lecture series designed specifically for them. (4 weeks; compulsory on-call nights and weekends)

Interns will spend four weeks in the Emergency Department. They will take an active role in the initial evaluation and treatment of patients, work alongside senior residents, attendings, and nursing staff, and are exposed to wide variety of patients, medical and surgical emergencies, and procedures. Interns will gain valuable experience, as they will be able to follow patients from presentation, through their workup, and onto their diagnosis and management. Interns will evaluate the patients’ level of urgency, learn and apply triage principles. Learn the basic interventions (such as urinary catheter, N/G gavage, taking blood sample, intubation etc). Interns will participate in daily teaching sessions, weekly departmental conferences, as well as lecture series designed specifically for them. (4 weeks; compulsory on-call nights and weekends)

Interns will spend four weeks in the Emergency Department. They will take an active role in the initial evaluation and treatment of patients, work alongside senior residents, attendings, and nursing staff, and are exposed to wide variety of patients, medical and surgical emergencies, and procedures. Interns will gain valuable experience, as they will be able to follow patients from presentation, through their workup, and onto their diagnosis and management. Interns will evaluate the patients’ level of urgency, learn and apply triage principles. Learn the basic interventions (such as urinary catheter, N/G gavage, taking blood sample, intubation etc). Interns will participate in daily teaching sessions, weekly departmental conferences, as well as lecture series designed specifically for them. (4 weeks; compulsory on-call nights and weekends)

Interns will spend four weeks in the Emergency Department. They will take an active role in the initial evaluation and treatment of patients, work alongside senior residents, attendings, and nursing staff, and are exposed to wide variety of patients, medical and surgical emergencies, and procedures. Interns will gain valuable experience, as they will be able to follow patients from presentation, through their workup, and onto their diagnosis and management. Interns will evaluate the patients’ level of urgency, learn and apply triage principles. Learn the basic interventions (such as urinary catheter, N/G gavage, taking blood sample, intubation etc). Interns will participate in daily teaching sessions, weekly departmental conferences, as well as lecture series designed specifically for them. (4 weeks; compulsory on-call nights and weekends)

Interns will spend four weeks in the Emergency Department. They will take an active role in the initial evaluation and treatment of patients, work alongside senior residents, attendings, and nursing staff, and are exposed to wide variety of patients, medical and surgical emergencies, and procedures. Interns will gain valuable experience, as they will be able to follow patients from presentation, through their workup, and onto their diagnosis and management. Interns will evaluate the patients’ level of urgency, learn and apply triage principles. Learn the basic interventions (such as urinary catheter, N/G gavage, taking blood sample, intubation etc). Interns will participate in daily teaching sessions, weekly departmental conferences, as well as lecture series designed specifically for them. (4 weeks; compulsory on-call nights and weekends)

The following objectives will be met through extensive reading, writing and discussion both in and out of class.Build a solid background in academic discourse, both written and spoken. Improve intensive and extensive critical reading skills. Foster critical and creative thinking. Build fundamental academic writing skills including summary, paraphrase, analysis, synthesis. Master cohesiveness as well as proper academic citation when incorporating the work of others.

Introduction to probability, sets, conditional probability, total probability theorem and Bayes rule; Independence, counting; Discrete random variables, functions of random variables, expectation, mean and variance; Continuous random variables, probability density functions, and cumulative distribution functions; Multiple random variables; Sums of random variables; Limit theorems; Covariance and correlation; Introduction to Stochastic Processes

Descriptive statistics; measures of association, correlation, simple regression; probability theory, conditional probability, independence; discrete and continuous random variables; probability distributions; functions of random variables; sampling distributions; estimation; inference (confidence intervals and hypothesis testing). Topics are supported by computer applications and specific examples from engineering applications.

Overview of corporate dynamics, including career paths, organizational structure and behavior in large organizations, corporate culture, decision-making process (organs, levels of authority, meetings, crisis and stress management), customer-focused organization and engineering ethics. There will be several case studies. There will also be high profile speakers from the corporate world to convey their real world experiences.

Entrepreneurship is creating something new and innovative with potential financial success in return. This course provides applied entrepreneurship know-how on the foundation, priorities, financing, finding the right employees, getting the word out, business development as well as entrepreneurial attributes such as commitment, determination, perseverance, goal oriented problem solving, team building. Teams of students will work on transforming an idea into a company which is ready for financing. Part of business success depends on understanding how relationships lead to other things. Hence, the course will also feature guest speakers from entrepreneurs and investors so that they share their successful as well as unsuccessful experiences which are often more valuable.

Effective assessment of data by applying statistics and computing techniques. Introduction of major data descriptors. Applying spreadsheet tools to facilitate data analysis and consequent decision making. Introduction to flowcharts and algorithms. Algorithmic reasoning for computer programming. Emerging information and computing technologies and the future of computing.

Introduction to basic mathematical concepts (including sets, counting, permutations, combinations, graph theory, basic probability and statistics) and simple problem solving methods using the following interesting examples: Hilbert Hotel, pigeonhole principle, Fibonacci numbers, stable marriage problem, four color theorem, traveling salesman problem, art gallery problem, schoolgirl problem, seven bridges problem, three prisoners problem, mathematical ideas in magic tricks, mathematics of gambling.

The fundamental concepts of logic such as statement, argument, premise, conclusion, inference, truth, falsity, validity, and invalidity; elements of propositional and predicate logic; conjunction, disjunction and negation of statements; truth tables for complex statements; logical equivalence; tautologies and contradictions; universal and existential quantifiers; truth trees; proof methods.