This is a class about applying autonomy to real-world systems. The overarching theme uniting the many different topics in this course will center around programming a cognitive robotic. This class takes the approach of introducing new reasoning techniques and ideas incrementally. We start with the current paradigm of programming you're likely familiar with, and evolve it over the semester—continually adding in new features and reasoning capabilities—ending with a robust, intelligent system. These techniques and topics will include algorithms for allowing a robot to: Monitor itself for potential problems (both observable and hidden), scheduling tasks in time, coming up with novel plans to achieve desired goals over time, dealing with the continuous world, collaborating with other (autonomous) agents, dealing with risk, and more.

Fundamental concepts and results for the compressible flow of gases. Topics include: appropriate conservation laws; propagation of disturbances; isentropic flows; normal shock wave relations, oblique shock waves, weak and strong shocks, and shock wave structure; compressible flows in ducts with area changes, friction, or heat addition; heat transfer to high speed flows; unsteady compressible flows, Riemann invariants, and piston and shock tube problems; steady 2D supersonic flow, Prandtl-Meyer function; and self-similar compressible flows. Emphasis on physical understanding of the phenomena and basic analytical techniques. 2.26 is a 6-unit Honors-level subject serving as the Mechanical Engineering department's sole course in compressible fluid dynamics. The prerequisites for this course are undergraduate courses in thermodynamics, fluid dynamics, and heat transfer. The goal of this course is to lay out the fundamental concepts and results for the compressible flow of gases. Topics to be covered include: appropriate conservation laws; propagation of disturbances; isentropic flows; normal shock wave relations, oblique shock waves, weak and strong shocks, and shock wave structure; compressible flows in ducts with area changes, friction, or heat addition; heat transfer to high speed flows; unsteady compressible flows, Riemann invariants, and piston and shock tube problems; steady 2D supersonic flow, Prandtl-Meyer function; and self-similar compressible flows. The emphasis will be on physical understanding of the phenomena and basic analytical techniques.

What we see through our windshields reflects ideas about our national identity, consumerism, and infrastructure. For better or worse, windshields have become a major frame for viewing the nonhuman world. The view from the road is one of the main ways in which we experience our environments. These vistas are the result of deliberate historical forces, and humans have shaped them as they simultaneously sought to be transformed by them. In Consuming Landscapes, Thomas Zeller explores how what we see while driving reflects how we view our societies and ourselves, the role that consumerism plays in our infrastructure, and ideas about reshaping the environment in the twentieth century. Zeller breaks new ground by comparing the driving experience and the history of landscaped roads in the United States and Germany, two major automotive countries. He focuses specifically on the Blue Ridge Parkway in the United States and the German Alpine Road as case studies. When the automobile was still young, an early twentieth-century group of designers—landscape architects, civil engineers, and planners—sought to build scenic infrastructures, or roads that would immerse drivers in the landscapes that they were traversing. As more Americans and Europeans owned cars and drove them, however, they became less interested in enchanted views; safety became more important than beauty. Clashes between designers and drivers resulted in different visions of landscapes made for automobiles. As strange as it may seem to twenty-first-century readers, many professionals in the early twentieth century envisioned cars and roads, if properly managed, as saviors of the environment. Consuming Landscapes illustrates how the meaning of infrastructures changed as a result of use and consumption. Such changes indicate a deep ambivalence toward the automobile and roads, prompting the question: can cars and roads bring us closer to nature while deeply altering it at the same time?

First published in 1981 by MIT Press, Continuum Electromechanics, courtesy of MIT Press and used with permission, provides a solid foundation in electromagnetics, particularly conversion of energy between electrical and mechanical forms. Topics include: electrodynamic laws, electromagnetic forces, electromechanical kinematics, charge migration, convection, relaxation, magnetic diffusion and induction interactions, laws and approximations of fluid mechanics, static equilibrium, electromechanical flows, thermal and molecular diffusion, and streaming interactions. The applications covered include transducers, rotating machines, Van de Graaff machines, image processing, induction machines, levitation of liquid metals, shaping of interfaces in plastics and glass processing, orientation of ferrofluid seals, cryogenic fluids, liquid crystal displays, thunderstorm electrification, fusion machines, magnetic pumping of liquid metals, magnetohydrodynamic power generation, inductive and dielectric heating, electrophoretic particle motion, electrokinetic and electrocapillary interactions in biological systems, and electron beams. "

Control Systems is an inter-disciplinary engineering text that analyzes the effects and interactions of mathematical systems. This book is for third and fourth year undergraduates in an engineering program.

The objective of this subject is to understand the nature of manufacturing process variation and the methods for its control. First, a general process model for control is developed to understand the limitations a specific process places on the type of control used. A general model for process variation is presented and three methods are developed to minimize variations: Statistical Process Control, Process Optimization and in-process Feedback Control. These are considered in a hierarchy of cost-performance tradeoffs, where performance is based on changes in process capability.

This course will focus on fundamental subjects in convexity, duality, and convex optimization algorithms. The aim is to develop the core analytical and algorithmic issues of continuous optimization, duality, and saddle point theory using a handful of unifying principles that can be easily visualized and readily understood.

Explore complex, multi-actor systems in which one factor influences all other factors. For instance, how innovative energy technologies merge into the existing energy system, or how new transport possibilities impact current processes. Armed with this information, learn to decide whether they should be further developed, consider possible negative results and weigh associated costs.

There are multiple ways to make decisions, but one way proven to be very useful is the analytical approach – a methodology for making the problem explicit and rationalising the different potential solutions. In short: analysis based support of decision making, design and implementation of solutions.

Creative Problem Solving and Decision Making as a course teaches you this method.

This book covers Direct Current (DC) circuit theory and is broken up into three modules. Module 1 covers the basics for circuits that include DC sources (voltage or current) and resistors. Even though Module 1 is not very difficult, it forms the foundation for more complicated topics in modules 2 and 3 so it is important to have a firm grasp of all Module 1 topics before moving on. Module 2 covers more difficult problem solving techniques for circuits that include only DC sources and resistors. Module 3 introduces capacitors and inductors. These non-linear reactive components are analyzed in the transient and steady state regions in circuits with DC sources in Module 3. Also annexed is a two-page cheat sheet that ENGR 2431 students at University of Oklahoma can use for exams.

This supplement is intended for an introductory electrical circuits course offered in a two or four year electrical engineering technology program. It features approximately 500 problems in DC electrical circuits ranging from introductory concepts and units through resistor color code, series, parallel, series-parallel and multi-source source circuits using voltage and current sources. Coverage includes Thévenin's and Norton's Theorems, maximum power transfer, source conversions, mesh & nodal analysis and superposition. Introductory material on capacitors and inductors with RL and RC transients rounds out the collection. Problems in each section are divided into four categories: Analysis, Design, Challenge and Simulation. Answers to the odd-numbered Design and Analysis problems are given in the appendix.

D-Lab: Energy offers a hands-on, project-based approach that engages students in understanding and addressing the applications of small-scale, sustainable energy technology in developing countries where compact, robust, low-cost systems for generating power are required. Projects may include micro-hydro, solar, or wind turbine generators along with theoretical analysis, design, prototype construction, evaluation and implementation. Students will have the opportunity both to travel to Nicaragua during spring break to identify and implement projects. D-Lab: Energy is part of MIT's D-Lab program, which fosters the development of appropriate technologies and sustainable solutions within the framework of international development.

Are you ready to leave the sandbox and go for the real deal? Have you followed Data Analysis: Take It to the MAX() and Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis?

In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis.

For your project, you will pick one raw dataset out of several options, which you will turn into a dashboard. You will begin with a business question that is related to the dataset that you choose. The datasets will touch upon different business domains, such as revenue management, call-center management, investment, etc.

This course is for all of those struggling with data analysis. That crazy data collection from your boss? Megabytes of sensor data to analyze? Looking for a smart way visualize your data in order to make sense out of it? We’ve got you covered!

Using video lectures and hands-on exercises, we will teach you cutting-edge techniques and best practices that will boost your data analysis and visualization skills.

This course has been awarded with the Wharton-QS gold education award in the category Regional awards Europe.
We will take a deep dive into data analysis with spreadsheets: PivotTables, VLOOKUPS, Named ranges, what-if analyses, making great graphs – all those will be covered in the first weeks of the course. After that, we will investigate the quality of the spreadsheet model, and especially how to make sure your spreadsheet remains error-free and robust.

Finally, once we have mastered spreadsheets, we will demonstrate other ways to store and analyze data. We will also look into how Python, a programming language, can help us with analyzing and manipulating data in spreadsheets.

This course is created using Excel 2013 and Windows. Most assignments can be made using another spreadsheet program and operating system as well, but we cannot offer full support for all configurations.

Struggling with data at work? Wasting valuable time working in multiple spreadsheets to gain an overview of your business? Find it hard to gain sharp insights from piles of data on your desktop?

If you are looking to enhance your efficiency in the office and improve your performance by making sense of data faster and smarter, then this advanced data analysis course is for you.

If you have already sharpened your spreadsheet skills in Data Analysis: Take It to the MAX(), this course will help you dig deeper. You will learn advanced techniques for robust data analysis in a business environment. 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. We encourage you to use your own data in this course but if not available, the course team can provide.

These course materials are part of an online course of TU Delft. Do you want to experience an active exchange of information between academic staff and students? Then join the community of online learners and enroll in this MOOC. This course is part of the Data Analysis XSeries.

In our daily lives we use hundreds or even thousands of products and services. They are all designed, some with more success than others. The ‘Delft Design Approach’ is a structured approach that helps designers to tackle complex design challenges: from formulating a strategic vision, to mapping user behaviors, their needs and their environment, to developing and selecting meaningful proposals for products and services.

DDA691x offers a college-level introduction to the Delft Design Approach through lectures and exercises on design fundamentals and 6 methods. You will understand basic models and concepts that underlie the Delft approach. You will also develop the capability to use 6 basic methods in a design context. You will do so by applying the methods to realistic design challenges and by reflecting on your own performance by comparing it to that of expert designers as well as through peer discussion.

Are you a design practitioner eager to become more strategic? Are you a business professional who wants to become more innovative? In this course, made by the world’s first strategic design school, you’ll follow the lead of big successful companies who already create new business opportunities and spark innovation by practicing design.

This course will introduce you to a hands-on design approach for finding new business opportunities. You will experience first-hand how design can be of value for your organisation. You’ll be challenged to create your own concepts that generate new business opportunities.

This course is produced by the same team that created the Strategic Product Design master programme at TU Delft, one of the oldest and most established programmes of strategic design in the world. Moreover, industry experts will help bridging design practice and business theory in a way that is unique in the present educational landscape.

The course considers the growing popularity of sustainability and its implications for the practice of engineering, particularly for the built environment. Two particular methodologies are featured: life cycle assessment (LCA) and Leadership in Energy and Environmental Design (LEED). The fundamentals of each approach will be presented. Specific topics covered include water and wastewater management, energy use, material selection, and construction.

In this course you will learn about the different experiences patients go through in a medical context. The patient journey explores the interaction between the patient and the healthcare providers in all stages of the disease; coping with treatment and dealing with expectations, and interaction with and between different stakeholders.

This course will give designers and specialists in healthcare the knowledge, insights and tools to be able to analyze and improve patient experience. You will learn how to map complex healthcare scenarios, pinpoint opportunities and create hands-on solutions aimed at improving the patient experience.

This course is an introduction to patient journey mapping; developed at the Delft University of Technology and applied in improvement of care pathway. Step-by-step, the course visualizes the different stakeholders, phases and actions involved in patient treatment. You will be challenged to pursue new insights and given unique opportunities to learn, observe and question patients and medical professionals, with the opportunity to attend a live broadcasted, interactive surgery.

Dredging equipment, mechanical dredgers, hydraulic dredgers, boundary conditions, design criteria, instrumentation and automation.

Role of the engineer as patent expert and as technical witness in court and patent interference and related proceedings. Rights and obligations of engineers in connection with educational institutions, government, and large and small businesses. Various manners of transplanting inventions into business operations, including development of New England and other US electronics and biotech industries and their different types of institutions. American systems of incentive to creativity apart from the patent laws in the atomic energy and space fields. For graduate students only; others see 6.901.