Fundamentals of Microwave and RF Design enables mastery of the essential concepts required to cross the barriers to a successful career in microwave and RF design. Extensive treatment of scattering parameters, that naturally describe power flow, and of Smith-chart-based design procedures prepare the student for success. The emphasis is on design at the module level and on covering the whole range of microwave functions available. The orientation is towards using microstrip transmission line technologies and on gaining essential mathematical, graphical and design skills for module design proficiency. This book is derived from a multi volume comprehensive book series, Microwave and RF Design, Volumes 1-5, with the emphasis in this book being on presenting the fundamental materials required to gain entry to RF and microwave design. This book closely parallels the companion series that can be consulted for in-depth analysis with referencing of the book series being familiar and welcoming.

Table of Contents
1 Introduction to Microwave Engineering
2 Antennas and the RF Link
3 Transmission Lines
4 Planar Transmission Lines
5 Extraordinary Transmission Line Effects
6 Coupled Lines and Applications
7 Microwave Network Analysis
8 Graphical Network Analysis
9 Passive Components
10 Impedance Matching
11 RF and Microwave Modules

This course will provide a gentle, yet intense, introduction to programming using Python for highly motivated students with little or no prior experience in programming. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. The course is designed to help prepare students for 6.01 Introduction to EECS. 6.01 assumes some knowledge of Python upon entering; the course material for 6.189 has been specially designed to make sure that concepts important to 6.01 are covered. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

6.976 covers system level issues of high speed communication systems and their impact on circuit requirements, with primary focus being placed on wireless and broadband data link applications. Course topics include: transistor level design techniques for high speed amplifiers, mixers, VCO's, registers and gates, and phase locked loops, and the impact of transmission line effects on circuit designs for narrowband and broadband systems. Finally, behavioral level simulation techniques are presented for phase locked loops and other communication circuits.

Designed as a freshmen seminar course, faculty from various School of Engineering departments describe the research and educational opportunities specific to and offered by their departments. Background lectures by the 20.010J staff introduce students to the fundamental scientific basis for bioengineering. Specially produced videos provide additional background information that is supplemented with readings from newspaper and magazine articles. Bioengineering at MIT is represented by the diverse curricula offered by most Departments in the School of Engineering. This course samples the wide variety of bioengineering options for students who plan to major in one of the undergraduate Engineering degree programs. The beginning lectures describe the science basis for bioengineering with particular emphasis on molecular cell biology and systems biology. Bioengineering faculty will then describe the bioengineering options in a particular engineering course as well as the type of research conducted by faculty in the department.

This is a fast-paced introductory course to the C++ programming language. It is intended for those with little programming background, though prior programming experience will make it easier, and those with previous experience will still learn C++-specific constructs and concepts. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

This course examines signals, systems and inference as unifying themes in communication, control and signal processing. Topics include input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations in discrete and continuous time; group delay; state feedback and observers; probabilistic models; stochastic processes, correlation functions, power spectra, spectral factorization; least-mean square error estimation; Wiener filtering; hypothesis testing; detection; matched filters.

This ebook provides a unique pedagogical approach to teaching the fundamentals of communication systems using interactive graphics and in-line questions. The material opens with describing the transformation of bits into digital baseband waveforms. Double-sideband suppressed carrier modulation and quadrature modulation then provide the foundation for the discussions of Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK), M-ary Quadrature Amplitude Modulation (M-QAM), M-ary Phase Shift Keying (MPSK), and the basic theory of Orthogonal Frequency Division Multiplexing (OFDM). Traditional analog modulation systems are also described. Systems trade-offs, including link budgets, are emphasized. Interactive graphics allow the students to engage with and visualize communication systems concepts. Interactivity and in-line review questions enables students to rapidly examine system tradeoffs and design alternatives. The topics covered build upon each other culminating with an introduction to the implementation of OFDM transmitters and receivers, the ubiquitous technology used in WiFi, 4G and 5G communication systems.

Table of Contents
1. Introduction
2. Signals & Systems Review
3. Baseband Data Transmission
4. Time Division Multiplexing (TDM)
5. Double - Sideband Suppressed Carrier (DSB-SC) Modulation
6. Quadrature Modulation/Multiplexing
7. Frequency Division Multiplexing (FDM) and Orthogonal Frequency Division Multiplexing (OFDM)
8. Double Sideband Large Carrier (DSB - LC) - Commercial AM
9. Single and Vestigial Sideband Modulation (SSB and VSB)
10. Frequency and Phase Modulation (FM/PM)
11. Superheterodyne Receiver
12. Communications Channels, Noise and Link Budgets
13. Performance of Analog Modulation with Noise
14. Performance of Digital Modulation with Noise
15. Multimegabit/sec Terrestrial Wireless Communication Systems: Impairments and Implementation
16. Introduction to Error Detection and Correction Techniques
17. Appendix net*TIMS FreeWire Laboratory Experiments

This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-squares, linear and quadratic programs, semidefinite programming, optimality conditions, and duality theory. Applications to signal processing, control, machine learning, finance, digital and analog circuit design, computational geometry, statistics, and mechanical engineering are presented. Students complete hands-on exercises using high-level numerical software. Acknowledgements The course materials were developed jointly by Prof. Stephen Boyd (Stanford), who was a visiting professor at MIT when this course was taught, and Prof. Lieven Vanderberghe (UCLA).

This course is an introductory subject in the field of electric power systems and electrical to mechanical energy conversion. Electric power has become increasingly important as a way of transmitting and transforming energy in industrial, military and transportation uses. Electric power systems are also at the heart of alternative energy systems, including wind and solar electric, geothermal and small scale hydroelectric generation.

This course is an introduction to linear optimization and its extensions emphasizing the underlying mathematical structures, geometrical ideas, algorithms and solutions of practical problems. The topics covered include: formulations, the geometry of linear optimization, duality theory, the simplex method, sensitivity analysis, robust optimization, large scale optimization network flows, solving problems with an exponential number of constraints and the ellipsoid method, interior point methods, semidefinite optimization, solving real world problems problems with computer software, discrete optimization formulations and algorithms.

This course offers an advanced introduction to numerical linear algebra. Topics include direct and iterative methods for linear systems, eigenvalue decompositions and QR/SVD factorizations, stability and accuracy of numerical algorithms, the IEEE floating point standard, sparse and structured matrices, preconditioning, linear algebra software. Problem sets require some knowledge of MATLAB;.

The primary objective of this project was to improve the laboratory manuals and associated ancillary learning resources for the junior-level course, Engineering Electronics (EE3401), which is a required course for students in three different degree programs at Kennesaw State University – Electrical Engineering, Mechatronics Engineering, and Computer Engineering.

In this project, we have developed and transformed the previous lab manuals, as well as added new learning materials. We have included detailed technical instructions within the lab manuals, revised the contents for improved readability, implemented coherent formatting across all manuals, introduced interactive links as necessary, developed and integrated pre-lab exercises, created video tutorials, LTspice simulation files and handouts, and MATLAB scripts for data analysis.In addition, we have developed laboratory datasheets for easy and convenient measurement data recording in electronic format using word files and a template for writing lab reports.

A total of 10 lab exercises with various ancillary materials (as described above) have been developed under this project:

Using LTSpice
Instrumentation
Operational Amplifiers
Differentiator, Integrator, and PWM
Diode Characteristics
Rectifiers & Regulators
MOSFET Behavior
CMOS Inverter & Amplifier
BJT Characteristics
BJT Amplifiers

Deriving a symbolic description of the environment from an image. Understanding physics of image formation. Image analysis as an inversion problem. Binary image processing and filtering of images as preprocessing steps. Recovering shape, lightness, orientation, and motion. Using constraints to reduce the ambiguity. Photometric stereo and extended Gaussian sphere. Applications to robotics; intelligent interaction of machines with their environment. Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. Lectures describe the physics of image formation, motion vision, and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include photogrammetry, object representation alignment, analog VLSI and computational vision. Applications to robotics and intelligent machine interaction are discussed.

This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

This course is an introduction to designing mechatronic systems, which require integration of the mechanical and electrical engineering disciplines within a unified framework. There are significant laboratory-based design experiences. Topics covered in the course include: Low-level interfacing of software with hardware; use of high-level graphical programming tools to implement real-time computation tasks; digital logic; analog interfacing and power amplifiers; measurement and sensing; electromagnetic and optical transducers; control of mechatronic systems.

The focus of the course is on medical science and practice in the age of automation and the genome, both present and future. It includes an analysis of the computational needs of clinical medicine, a review systems and approaches that have been used to support those needs, and an examination of new technologies.

Presents the main concepts of decision analysis, artificial intelligence, and predictive model construction and evaluation in the specific context of medical applications. Emphasizes the advantages and disadvantages of using these methods in real-world systems and provides hands-on experience. Technical focus on decision analysis, knowledge-based systems (qualitative and quantitative), learning systems (including logistic regression, classification trees, neural networks), and techniques to evaluate the performance of such systems. Students produce a final project using the methods learned in the subject, based on actual clinical data. (Required for students in the Master's Program in Medical Informatics, but open to other graduate students and advanced undergraduates.)

Microwave and RF Design: Radio Systems is a circuits- and systems-oriented approach to modern microwave and RF systems. Sufficient details at the circuits and sub-system levels are provided to understand how modern radios are implemented. Design is emphasized throughout. The evolution of radio from what is now known as 0G, for early radio, through to 6G, for sixth generation cellular radio, is used to present modern microwave and RF engineering concepts. Two key themes unify the text: 1) how system-level decisions affect component, circuit and subsystem design; and 2) how the capabilities of technologies, components, and subsystems impact system design. This book is suitable as both an undergraduate and graduate textbook, as well as a career-long reference book.

Table of Contents
1 Introduction to RF and Microwave Systems
2 Modulation
3 Transmitters and Receivers
4 Antennas and the RF Link
5 RF Systems

Microwave and RF Design: Transmission Lines builds on the concepts of forward- and backward-traveling waves. Many examples are included of advanced techniques for analyzing and designing transmission line networks with microstrip lines primarily used in design examples. Coupled-lines are an important functional element in microwave circuits, and circuit equivalents of coupled lines are introduced as fundamental building blocks in design. The text and examples introduce the often hidden design requirements of mitigating parasitic effects and eliminating unwanted modes of operation. This book is suitable as both an undergraduate and graduate textbook, as well as a career-long reference book.

Table of Contents
1 Introduction to Distributed Microwave Circuits
2 Transmission Lines
3 Planar Transmission Lines
4 Extraordinary Transmission Line Effects
5 Coupled Lines and Applications
6 Waveguides