Open Educational Resources | Pao Yue-kong Library, The Hong Kong Polytechnic University

Courseware

Communicating with Mobile Technology

This course covers the basics of J2ME and explores mobile imaging and media creation, GPS location, user-centered design, usability testing, and prototyping. Java experience is recommended.

Subjects:: Computing
Keywords:: Mobile apps Mobile computing Cell phone systems Application software -- Development
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Computation Structures

This course introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies. It covers the topics including multilevel implementation strategies, definition of new primitives (e.g., gates, instructions, procedures, processes) and their mechanization using lower-level elements. It also includes analysis of potential concurrency, precedence constraints and performance measures, pipelined and multidimensional systems, instruction set design issues and architectural support for contemporary software structures.

Subjects:: Electrical Engineering and Computing
Keywords:: Digital electronics
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Signals, Systems and Inference

This course covers signals, systems and inference 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; and 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.

Subjects:: Electronic and Information Engineering|Electrical Engineering
Keywords:: Signal processing Signal theory (Telecommunication) System analysis
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Database Systems

This course introduces the foundations of database systems, focusing on basics such as the relational algebra and data model, schema normalization, query optimization, and transactions. It is designed for students who have taken 6.033 (or equivalent); no prior database experience is assumed, though students who have taken an undergraduate course in databases are encouraged to attend.

Subjects:: Computing
Keywords:: Database management
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Electric Cars: Business

This course explains how electric mobility can work for various businesses, including fleet managers, automobile manufacturers and charging infrastructure providers. The experts of TU Delft, together with other knowledge institutes and companies in the Netherlands, will provide insights into and examples of how innovations have disrupted conventional businesses and created new businesses altogether. This will be explained through various concepts and models, including total cost of ownership models, lean mass production, value chain thinking and business integration.

Subjects:: Electrical Engineering
Keywords:: Electric vehicles Electric vehicle industry
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Electric Cars: Technology

This course focuses on the technology behind electric cars. You will explore the working principle of electric vehicles, delve into the key roles played by motors and power electronics, learn about battery technology, EV charging, smart charging and about future trends in the development of electric cars.

Subjects:: Electrical Engineering
Keywords:: Electric vehicles Electric vehicles -- Batteries
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Electric Cars: Introduction

This course explores the most important aspects of this new market, including state-of-the-art technology of electric vehicles and charging infrastructure; profitable business models for electric mobility; and effective policies for governmental bodies, which will accelerate the uptake of electric mobility.

Subjects:: Electrical Engineering
Keywords:: Electric vehicles
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Signals and Systems

This course covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials and geometrics, Fourier representations, Laplace and Z transforms, sampling) and representations of linear, time-invariant systems (difference and differential equations, block diagrams, system functions, poles and zeros, convolution, impulse and step responses, frequency responses). Applications are drawn broadly from engineering and physics, including feedback and control, communications, and signal processing.

Subjects:: Electrical Engineering
Keywords:: Signal processing System analysis
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Dynamic Systems and Control

The course addresses dynamic systems, i.e., systems that evolve with time. Typically these systems have inputs and outputs; it is of interest to understand how the input affects the output (or, vice-versa, what inputs should be given to generate a desired output). In particular, this course will concentrates on systems that can be modeled by Ordinary Differential Equations (ODEs), and that satisfy certain linearity and time-invariance conditions.

Subjects:: Computing
Keywords:: Mathematical models Dynamics System theory
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Introduction to Electric Power Systems

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.

Subjects:: Electrical Engineering
Keywords:: Electric power systems
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Solid-State Circuits

This is a course in analog circuit analysis and design. It covers the tools and methods necessary for the creative design of useful circuits using active devices. The class stresses insight and intuition, applied to the design of transistor circuits and the estimation of their performance. It concentrates on circuits using the bipolar junction transistor, but the techniques that we study can be equally applied to circuits using JFETs, MOSFETs, MESFETs, future exotic devices, or even vacuum tubes.

Subjects:: Electrical Engineering
Keywords:: Analog integrated circuits Linear integrated circuits
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Electromagnetics and Applications

This course explores electromagnetic phenomena in modern applications, including wireless and optical communications, circuits, computer interconnects and peripherals, microwave communications and radar, antennas, sensors, micro-electromechanical systems, and power generation and transmission. Fundamentals include quasistatic and dynamic solutions to Maxwell's equations; waves, radiation, and diffraction; coupling to media and structures; guided waves; resonance; acoustic analogs; and forces, power, and energy.

Subjects:: Electrical Engineering
Keywords:: Electromagnetism
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Materials Processing

This course is focused on physical understanding of materials processing, and the scaling laws that govern process speed, volume, and material quality. In particular, this course will cover the transport of heat and matter as these topics apply to materials processing.

Subjects:: Mechanical Engineering and Materials Science
Keywords:: Mass transfer Heat -- Transmission Transport theory Manufacturing processes Fluid mechanics
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Elements of Mechanical Design

This is an advanced course on modeling, design, integration and best practices for use of machine elements such as bearings, springs, gears, cams and mechanisms. Modeling and analysis of these elements is based upon extensive application of physics, mathematics and core mechanical engineering principles (solid mechanics, fluid mechanics, manufacturing, estimation, computer simulation, etc.).

Subjects:: Mechanical Engineering
Keywords:: Engineering design Machine design
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Mechatronics

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.

Subjects:: Mechanical Engineering
Keywords:: Mechatronics
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Internal Combustion Engines

This course studies the fundamentals of how the design and operation of internal combustion engines affect their performance, efficiency, fuel requirements, and environmental impact. Topics include fluid flow, thermodynamics, combustion, heat transfer and friction phenomena, and fuel properties, with reference to engine power, efficiency, and emissions.

Subjects:: Mechanical Engineering
Keywords:: Internal combustion engines
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Numerical Fluid Mechanics

This course is an introduction to numerical methods and MATLAB®: Errors, condition numbers and roots of equations. Topics covered include Navier-Stokes; direct and iterative methods for linear systems; finite differences for elliptic, parabolic and hyperbolic equations; Fourier decomposition, error analysis and stability; high-order and compact finite-differences; finite volume methods; time marching methods; Navier-Stokes solvers; grid generation; finite volumes on complex geometries; finite element methods; spectral methods; boundary element and panel methods; turbulent flows; boundary layers; and Lagrangian coherent structures (LCSs).

Subjects:: Mechanical Engineering
Keywords:: Fluid mechanics
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Principles and Practice of Assistive Technology

This is an interdisciplinary, project-based course, centered around a design project in which small teams of students work closely with a person with a disability in the Cambridge area to design a device, piece of equipment, app, or other solution that helps them live more independently.

Subjects:: Biomedical Engineering, Mechanical Engineering, Rehabilitation Sciences, Computing, and Electrical Engineering
Keywords:: Self-help devices for people with disabilities
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Neurotechnology in Action

This course explores cutting-edge neurotechnology that is essential for advances in all aspects of neuroscience, including improvements in existing methods as well as the development, testing and discussion of completely new paradigms. Readings and in-class sessions cover the fields of electrophysiology, light microscopy, cellular engineering, optogenetics, electron microscopy, MRI / fMRI, and MEG / EEG.

Subjects:: Biomedical Engineering and Biology
Keywords:: Neurotechnology (Bioengineering)
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Biomedical Signal and Image Processing

This course presents the fundamentals of digital signal processing with particular emphasis on problems in biomedical research and clinical medicine. It covers principles and algorithms for processing both deterministic and random signals. Topics include data acquisition, imaging, filtering, coding, feature extraction, and modeling. The focus of the course is a series of labs that provide practical experience in processing physiological data, with examples from cardiology, speech processing, and medical imaging. The labs are done in MATLAB® during weekly lab sessions that take place in an electronic classroom. Lectures cover signal processing topics relevant to the lab exercises, as well as background on the biological signals processed in the labs.

Subjects:: Biomedical Engineering and Medical Imaging
Keywords:: Biomedical engineering Signal processing Image processing
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Molecular, Cellular, and Tissue Biomechanics

This course develops and applies scaling laws and the methods of continuum and statistical mechanics to biomechanical phenomena over a range of length scales, from molecular to cellular to tissue or organ level.

Subjects:: Biomedical Engineering and Biology
Keywords:: Biomedical engineering Biomechanics
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CS229 - Machine Learning

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins); reinforcement learning and adaptive control. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.

Subjects:: Computing
Keywords:: Pattern perception -- Statistical methods Machine learning
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CS223A - Introduction to Robotics

The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of relevant results from geometry, kinematics, statics, dynamics, and control. The course is presented in a standard format of lectures, readings and problem sets.

Subjects:: Mechanical Engineering
Keywords:: Robotics
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User Interface Design and Implementation

This course examines human-computer interaction in the context of graphical user interfaces. The course covers human capabilities, design principles, prototyping techniques, evaluation techniques, and the implementation of graphical user interfaces. Deliverables include short programming assignments and a semester-long group project. Students taking the graduate version also have readings from current literature and additional assignments.

Subjects:: Computing
Keywords:: Human-computer interaction User interfaces (Computer systems)
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Design and Analysis of Algorithms

This is an intermediate algorithms course with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application. Topics include divide-and-conquer, randomization, dynamic programming, greedy algorithms, incremental improvement, complexity, and cryptography.

Subjects:: Computing
Keywords:: Algorithms
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Artificial Intelligence

This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances.

Subjects:: Computing
Keywords:: Artificial intelligence
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Computer Systems Security

6.858 Computer Systems Security is a class about the design and implementation of secure computer systems. Lectures cover threat models, attacks that compromise security, and techniques for achieving security, based on recent research papers. Topics include operating system (OS) security, capabilities, information flow control, language security, network protocols, hardware security, and security in web applications.

Subjects:: Computing
Keywords:: Data protection Computer security Computer networks -- Security measures Data encryption (Computer science)
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Free Online Course: Six Sigma: Define and Measure from edX | Class Central

An introduction to the Six Sigma methodology and DMAIC cycle for process improvement with a focus on the Define and Measure phases.

Subjects:: Management
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ESD.60 Lean/Six Sigma Processes

Students of this course will develop a broad understanding of Lean/Six Sigma principles and practices, build capability to implement Lean/Six Sigma initiatives in manufacturing operations, and learn to operate with awareness of Lean/Six Sigma at the enterprise level. All course materials are organized around a common "single-point lesson" (SPL) format, with some of the SPLs provided by the instructor and guests and with some developed and delivered by student teams.

Subjects:: Management and Computing
Keywords:: Quality control Six sigma (Quality control stard)
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16.660J Introduction to Lean Six Sigma Methods (MIT)

This course covers the fundamental principles, practices and tools of Lean Six Sigma methods that underlay modern organizational productivity approaches applied in aerospace, automotive, health care, and other sectors. It includes lectures, active learning exercises, a plant tour, talks by industry practitioners, and videos. One third of the course is devoted to a physical simulation of an aircraft manufacturing enterprise or a clinic to illustrate the power of Lean Six Sigma methods. The 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.

Subjects:: Management
Keywords:: Industrial efficiency Lean manufacturing Six sigma (Quality control stard)
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ESD.10 Introduction to Technology and Policy

This course explores perspectives in the policy process - agenda setting, problem definition, framing the terms of debate, formulation and analysis of options, implementation and evaluation of policy outcomes using frameworks including economics and markets, law, and business and management. Methods include cost/benefit analysis, probabilistic risk assessment, and system dynamics. Exercises include developing skills to work on the interface between technology and societal issues; simulation exercises; case studies; and group projects that illustrate issues involving multiple stakeholders with different value structures, high levels of uncertainty, multiple levels of complexity; and value trade-offs that are characteristic of engineering systems. Emphasis on negotiation, team building and group dynamics, and management of multiple actors and leadership.

Subjects:: Management
Keywords:: Policy sciences -- Economic aspects Political planning -- Economic aspects
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Farmer's Agribusiness Training Course: Module 3 - Entrepreneurship. Lesson 5: Credit Management

This Farmers' Agribusiness training course has been developed to help both farmers and farmer organisations. Its intention is to provide access to provide access to additional skills and knowledge that will allow farmers to move from a 'farm' to a 'firm'. This lesson describes funding possibilities, the process for sourcing funds, the measures that should be taken to ensure effective utilization of funds, repayment procedures.

Subjects:: Management
Keywords:: Entrepreneurship Credit -- Management
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15.024 Applied Economics for Managers | Sloan School of Management

The fact of scarcity forces individuals, firms, and societies to choose among alternative uses – or allocations – of its limited resources. Accordingly, the first part of this summer course seeks to understand how economists model the choice process of individual consumers and firms, and how markets work to coordinate these choices. It also examines how well markets perform this function using the economist's criterion of market efficiency. Overall, this course focuses on microeconomics, with some topics from macroeconomics and international trade. It emphasizes the integration of theory, data, and judgment in the analysis of corporate decisions and public policy, and in the assessment of changing U.S. and international business environments.

Subjects:: Management
Keywords:: Microeconomics
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15.875 Applications of System Dynamics

15.875 is a project-based course that explores how organizations can use system dynamics to achieve important goals. In small groups, students learn modeling and consulting skills by working on a term-long project with real-life managers. A diverse set of businesses and organizations sponsor class projects, from start-ups to the Fortune 500. The course focuses on gaining practical insight from the system dynamics process, and appeals to people interested in system dynamics, consulting, or managerial policy-making.

Subjects:: Management
Keywords:: Business consultants Social psychology
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Math 679 - Elliptic Curves

Math 679 is a graduate level mathematics course whose purpose is to prove Mazur's theorem (link is external). Mazur's theorem is a well-known and important result, however it is not often taught in classroom settings. The course is divided into three parts: elliptic curves and abelian varieties, moduli of elliptic curves, and proof of Mazur’s theorem.

Keywords:: Abelian varieties Curves Algebraic Curves Elliptic
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Chemistry 216 - The Synthesis and Characterization of Carbonyl Compounds

CHEM 216 builds on the experimental approach started in CHEM 211. Students participate in planning exactly what they are going to do in the laboratory by being given general goals and directions that have to be adapted to fit the specific project they will be working on. They use microscale equipment, which requires them to develop manual dexterity and care in working in the laboratory. They also evaluate the results of their experiments by checking for identity and purity using various chromatographic and spectroscopic methods.

Subjects:: Laboratory Techniques and Safety and Chemistry
Keywords:: Chemical laboratories Chemistry Organic Chemical laboratories -- Technique Organic compounds -- Synthesis
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Chemistry 125/126 - General Chemistry Laboratory 1

The focus of this guided inquiry laboratory is to foster critical thinking that allows students to design, perform, and interpret experiments. In addition, the student acquires technical skills that are required for further advancement in experimental sciences. Although an ability to collect and analyze data in a quantitative manner is developed, the emphasis of the course is to provide a qualitative understanding of the basic concepts of chemistry. This is accomplished by demonstrating that chemical principles are derived from experimental data. The goal is to provide students both with a more accurate picture of the scientific process and with skills that are relevant to solving real life problems.

Subjects:: Laboratory Techniques and Safety and Chemistry
Keywords:: Chemical laboratories Chemical laboratories -- Technique Chemistry
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ENGR 100: Introduction to Engineering: Design in the Real World

Currently offered in Fall and Winter semesters at the University of Michigan College of Engineering (Ann Arbor, MI), this survey course provides a general introduction to the engineering design process – spanning core topics from problem definition through prototyping and testing, as well as other important considerations such as sustainability, failure analysis, and engineering economics. In some semesters, select lectures have been delivered via screencast prior to class, with corresponding lecture times then involving a complementary or a reinforcing activity. This particular Section of Engineering 100 emphasizes multidisciplinary design, entrepreneurship, and benefitting people's quality of life.

Keywords:: Engineering design
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HMP 607 - Corporate Finance for Health Care Administrators

HMP 607 is the third in a three-course sequence intended to impart to generalist administrators the knowledge of finance and accounting necessary to manage health care organizations. The first course, HMP 608, covers financial accounting. The second course, HMP 606, focuses on managerial accounting topics. This third course concentrates on corporate finance topics. It aims to impart an understanding of how finance theory and practice can inform the decision-making of the health care firm. As such, HMP 607 is most appropriately considered a corporate finance course, as opposed to a course in financial markets. In addition, it will integrate corporate finance and accounting theories, institutional knowledge of health care finance, and applications to specific problems.

Subjects:: Management of Health Care Services
Keywords:: Health facilities Finance Corporations -- Finance
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EPID 757 - Introduction to Systematic Reviews and Meta-Analyses

Systematic reviews and meta-analyses are useful for evidence-based clinical and public health practice. The widespread and growing application of systematic review methods for the synthesis of evidence on important or pressing research and clinical questions underscore the need for health-care professionals to understand and critique this research design. This course will provide a detailed description of the systematic review process, discuss the strengths and limitations of the method, and provide step-by-step guidance on how to actually perform a systematic review and meta-analysis. Specific topics to be covered include: formulation of the review question, searching of literature, quality assessment of studies, data extraction, meta-analytic methods, assessment of heterogeneity and report writing. The course will also cover statistical issues such as selection of statistical models for meta-analysis, practical examples of fixed and random effects models, best evidence syntheses (qualitative systematic reviews) as well as examples of methods to evaluate heterogeneity and publication bias. STATA statistical software will be used to perform meta-analysis during the computer lab, along with tutorials on how to effectively use tools such as PubMed for conducting reviews.

Subjects:: Statistics and Research Methods
Keywords:: Meta-analysis Research -- Methodology Systematic reviews (Medical research)
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N 536 - Utilization of Nursing Research in Advanced Practice

The primary goal of this course is to promote an evidence-based approach to advanced nursing practice. Evidenced-based research findings for nursing practice will be evaluated in terms of racial, ethnic, and socioeconomic relevance. An understanding of the research process, applicable theories, organizational dynamics, and leadership functions are applied to design and process of implementing research in health care settings.

Subjects:: Statistics and Research Methods and Nursing
Keywords:: Nursing -- Research -- Methodology Evidence-based nursing
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N 420 - Perspectives in Global Health

This course introduces the student to global health concepts and the network of organizations working to advance health care internationally. Emphasis for this course is on the global burden of disease and determinates of health. It will provide the student with a broad introduction to programs, systems and policies affecting global health. Students will explore facets of the global health care delivery system, health care economics and the political process and its impact on the health of individuals and populations.

Subjects:: Public Health
Keywords:: Medical economics Public health administration World health Children -- Health hygiene
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Advanced Device Physics

This course will focus for a large part on MOSFET and CMOS, but also on heterojunction BJT, and photonic devices.First non-ideal characteristics of MOSFETs will be discussed, like channel-length modulation and short-channel effects. We will also pay attention to threshold voltage modification by varying the dopant concentration. Further, MOS scaling will be discussed. A combination of an n-channel and p-channel MOSFET is used for CMOS devices that form the basis for current digital technology. The operation of a CMOS inverter will be explained. We will explain in more detail how the transfer characteristics relate to the CMOS design.

Subjects:: Electrical Engineering
Keywords:: Metal oxide semiconductors Complementary Semiconductors Metal oxide semiconductor field-effect transistors Electronic circuit design
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Data Analysis: Take it to the MAX

This course is for all of those struggling with data analysis. You will learn: - Overcome data analysis challenges in your work and research - Increase your productivity and make better business decisions - Enhance your data analysis skills using spreadsheets - Learn about advanced spreadsheet possibilities like array formulas and pivottables - Learn about Excel 2013 features like PowerPivot & PowerMap - Learn to organize and test your spreadsheets

Subjects:: Computing
Keywords:: Electronic spreadsheets -- Computer programs Visual analytics Python (Computer program language) Information visualization Microsoft Excel (Computer file)
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Electronic Power Conversion

This course is an introduction to power electronics. First the principles of power conversion with switching circuits are treated as well as main applications of power electronics. Next the basic circuits of power electronics are explained, including ac-dc converters (diode rectifiers), dc-dc converters (non-isolated and isolated) and dc-ac converters (inverters). Related issues such as pulse width modulation, methods of analysis, voltage distortion and power quality are treated in conjunction with the basic circuits. The main principles of operation of most commonly used power semiconductor switches are explained. Finally, the role of power electronics in sustainable energy future, including renewable energy systems and energy efficiency is discussed.

Subjects:: Electrical Engineering
Keywords:: Electronic circuits Power electronics
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Electronic Instrumentation

This course is a basic course on Instrumentation and Measurement. Firstly, the detection limit in a typical instrument for measurement of an electrical quantity is determined for: offset, finite common-mode rejection, noise and interference. The dominant source of uncertainty is identified and the equivalent input voltage/current sources are calculated. Secondly, the measurement of a non-electrical quantity is discussed. In this case the detection limit should be expressed in terms of the non-electrical input parameter of interest. Issues discussed are: (cross-)sensitivities in frequently used transduction effects, non-electrical source loading and noise in the non-electrical signal domain. Coupled domain formal modeling is subsequently introduced to facilitate analytical multi-domain system analysis. Finally, the detection limit in typical applications in the mechanical, thermal, optical and magnetic signal domain are analysed, along with circuit and system techniques to maximize overall system detectivity. The tools that are introduced in the course, such as the formal modeling and the calculation of the detection limit, are applied in the mid-term project to a real-world measurement problem.

Subjects:: Electrical Engineering
Keywords:: Electronic instruments Electronic measurements
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Data Analysis: Visualization and Dashboard Design

This course covers the main tasks required from data analysts today, including importing, summarizing, interpreting, analyzing and visualizing data. It aims to equip you with the tools that will enable you to be an independent data analyst. Most techniques will be taught in Excel with add-ons and free tools available online. You will learn: - How to make data come to life with well-known types of visualizations such as line and bar graphs and new types of visualizations such as spark lines, contour plots and population pyramids. - How to create dashboards in Excel based on live data that can meet managerial and business needs. - How to connect data from different sources, such as the web and exports from your CRM, ERP, SAP or data warehouse. - Some hands-on data science and how to use actionable analysis tools. - Deep dive into known tools like PivotTables and introduce new ones like the analysis toolpak

Subjects:: Computing
Keywords:: Visual analytics Information visualization Industrial management -- Data processing Dashboards (Management information systems) Microsoft Excel (Computer file)
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Solar Energy: Photovoltaic (PV) Technologies

The technologies used to produce solar cells and photovoltaic modules are advancing to deliver highly efficient and flexible solar panels. In this course you will explore the main PV technologies in the current market. You will gain in-depth knowledge about crystalline silicon based solar cells (90% market share) as well as other up and coming technologies like CdTe, CIGS and Perovskites. This course provides answers to the questions: How are solar cells made from raw materials? Which technologies have the potential to be the major players for different applications in the future?

Subjects:: Electrical Engineering
Keywords:: Solar cells Photovoltaic power systems Photovoltaic power generation Silicon solar cells
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System Validation

The purpose of this course is to learn how to specify the behavior of embedded systems and to experience the design of a provably correct system. In this course you will learn how to formally specify requirements and to prove (or disprove) them on the behaviour. With a practical assignment you will experience how to apply the techniques in practice.

Subjects:: Computing
Keywords:: Embedded computer systems
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Solar Energy Engineering: Photovoltaic Energy Conversion

The key factor in getting more efficient and cheaper solar energy panels is the advance in the development of photovoltaic cells. In this course you will learn how photovoltaic cells convert solar energy into useable electricity. You will also discover how to tackle potential loss mechanisms in solar cells. By understanding the semiconductor physics and optics involved, you will develop in-depth knowledge of how a photovoltaic cell works under different conditions. You will learn how to model all aspects of a working solar cell. For engineers and scientists working in the photovoltaic industry, this course is an absolute must to understand the opportunities for solar cell innovation.

Subjects:: Electrical Engineering
Keywords:: Solar energy Renewable energy sources Photovoltaic cells Photovoltaic power generation
Resource Type:: Courseware

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