Do you want to think about ways to help solve New Orleans' problems? CityScope is a project-based introduction to the contemporary city. "Problem solving in complex (urban) environments" is different than "solving complex problems." As a member of a team, you will learn to assess scenarios for the purpose of formulating social, economic and design strategies to provide humane and sustainable solutions. A visit to New Orleans is planned for spring break 2007.

This course introduces the concepts, techniques, and devices used to measure engineering properties of materials. There is an emphasis on measurement of load-deformation characteristics and failure modes of both natural and fabricated materials. Weekly experiments include data collection, data analysis, and interpretation and presentation of results.

- Participants are going to implement ICT resources in classroom and to learn about civil engineering, its types, some vocabulary, y know how important civil engineering is. - This lesson plan is going to be developed in two-hour class (Pre-activity 15 minutes; While 70 minutes; 15 minutes= 100 minutes)ICT FRAMEWORK FOR TEACHERS:- Critically engage with the need for ICT-led innovation and the transformative power of positive change.- Design and manage learning environments which take into account ICT in the didactics of a given subject area.- Awareness of the constant impact of ICT on learning. 

In this video we show you how to connect Spider's motors to his tap light base. Created by Karl Wendt.

Radical Visions of 100% Clean Power for 100% of the People

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What cognitive styles do we use to interact with technology? The GenderMag Project has identified five cognitive facets we bring to our use of technology.

What cognitive styles do we use to interact with technology? The SESMag Project has identified six cognitive facets we bring to our use of technology.

Combinatorial Optimization provides a thorough treatment of linear programming and combinatorial optimization. Topics include network flow, matching theory, matroid optimization, and approximation algorithms for NP-hard problems.

AE 868 examines the theories and design practices of solar electric systems in the context of utility and commercial-scale applications. An important goal of the course is to equip solar professionals with skills to follow the impact of hardware trends in industry on feasibility, design, and the commissioning of such systems. Students will learn how to design solar electric systems as well as the processes required for permitting, construction, and commissioning. Topics include conceptual design of solar electric systems, solar electric technologies, inverter and power management technologies, design theory and economic analysis tools, system design processes for grid-tied and off-grid systems, integration of energy storage and demand response systems, construction project management, permitting, safety and commissioning, system monitoring, and maintenance.

This course will cover fundamentals of digital communications and networking. We will study the basics of information theory, sampling and quantization, coding, modulation, signal detection and system performance in the presence of noise. The study of data networking will include multiple access, reliable packet transmission, routing and protocols of the internet. The concepts taught in class will be discussed in the context of aerospace communication systems: aircraft communications, satellite communications, and deep space communications.

A closer look at the complex exponential term in Euler's Formula. We see that it represents a complex number, a distance of 1 from the origin of the complex plane. Created by Willy McAllister.

When we put time in the exponent of a complex exponential, the complex number it represent rotates in a circle on the complex plane. You can think of it as a spinning number! Created by Willy McAllister.

Complex numbers can be represented three ways on the complex plane: cartesian coordinates, radius and angle, and exponential form. Created by Willy McAllister.

Multiplying a real or complex number by the imaginary unit j corresponds to a rotation by +90 degrees. This is the key feature of j that makes it such a useful number. Created by Willy McAllister.

In this video we show you how and where to create the mounting holes in BIt-zee's Lexan base for the arduino, batteries, camera, on/off switch and wire routing. Created by Karl Wendt.

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.

6.004 offers an introduction to the engineering of digital systems. Starting with MOS transistors, the course develops a series of building blocks — logic gates, combinational and sequential circuits, finite-state machines, computers and finally complete systems. Both hardware and software mechanisms are explored through a series of design examples.
6.004 is required material for any EECS undergraduate who wants to understand (and ultimately design) digital systems. A good grasp of the material is essential for later courses in digital design, computer architecture and systems. The problem sets and lab exercises are intended to give students "hands-on" experience in designing digital systems; each student completes a gate-level design for a reduced instruction set computer (RISC) processor during the semester.

This course covers the algorithmic and machine learning foundations of computational biology combining theory with practice. We cover both foundational topics in computational biology, and current research frontiers. We study fundamental techniques, recent advances in the field, and work directly with current large-scale biological datasets.

This course is an introduction to computational theories of human cognition. Drawing on formal models from classic and contemporary artificial intelligence, students will explore fundamental issues in human knowledge representation, inductive learning and reasoning. What are the forms that our knowledge of the world takes? What are the inductive principles that allow us to acquire new knowledge from the interaction of prior knowledge with observed data? What kinds of data must be available to human learners, and what kinds of innate knowledge (if any) must they have?

An introduction to computational theories of human cognition. Emphasizes questions of inductive learning and inference, and the representation of knowledge. Project required for graduate credit. This class is suitable for intermediate to advanced undergraduates or graduate students specializing in cognitive science, artificial intelligence, and related fields.