What are your facet values when using software? What's one situation when your facet values might change? How did identifying your facet values affect your understanding of how you use software?
What cognitive styles do you use to interact with technology? PRE-REQ: https://www.oercommons.org/courseware/lesson/87536 LAST UPDATE: Changed title
Reflection assignment about cognitive styles used to interact with technology. Includes reflection questions about relating to the GenderMag personas.
Reflection assignment about cognitive styles used to interact with technology. Includes reflection questions about relating to the SESMag personas.
An example homework that runs students on the personas and how to use them in the GenderMag Walkthrough.
Activity where the class will perform a GenderMag walkthrough on the ACM website from the GenderMag persona’s perspective.
Heuristic evaluation peer activity using GenderMag Cognitive Style Heuristics.
Students mark on the continuum where they think their persona's cognitive styles are likely to fall.
What are your facet values when using software? What's one situation when your facet values might change? How did identifying your facet values affect your understanding of how you use software?
This activity first asks the students to study the patterns of bird flight and understand that four main forces affect the flight abilities of a bird. They will study the shape, feather structure, and resulting differences in the pattern of flight. They will then look at several articles that feature newly designed planes and the birds that they are modeled after. The final component of this activity is to watch the Nature documentary, "Raptor Force" which chronicles the flight patterns of birds, how researchers study these animals, and what interests our military and aeronautical engineers about these natural adaptations. This activity serves as an extension to the biomimetics lesson. Although students will not be using this information in the design process for their desert resort, it provides interesting information pertaining to the current use of biomimetics in the field of aviation. Students may extend their design process by using this information to create a means of transportation to and from the resort if they chose to.
The 16 lectures in this course cover the topics of adaptive antennas and phased arrays. Both theory and experiments are covered in the lectures. Part one (lectures 1 to 7) covers adaptive antennas. Part two (lectures 8 to 16) covers phased arrays. Parts one and two can be studied independently (in either order). The intended audience for this course is primarily practicing engineers and students in electrical engineering. This course is presented by Dr. Alan J. Fenn, senior staff member at MIT Lincoln Laboratory.
Online Publication
Adding a tail. Created by Karl Wendt.
An introduction to probability through the example of flipping a quarter and rolling a die. it is a practice lesson.
This resource contains materials related to Additive Manufacturing. Feel free to use any of the materials and modify them as needed for your class, If you modify them, please resubmit them to SLAM Resources.
This resource contains materials related to Additive Manufacturing. Feel free to use any of the materials and modify them as needed for your class, If you modify them, please resubmit them to SLAM Resources.
This resource contains materials related to Additive Manufacturing. Feel free to use any of the materials and modify them as needed for your class, If you modify them, please resubmit them to SLAM Resources.
This is a graduate course on the design and analysis of algorithms, covering several advanced topics not studied in typical introductory courses on algorithms. It is especially designed for doctoral students interested in theoretical computer science.
This course is a first-year graduate course in algorithms. Emphasis is placed on fundamental algorithms and advanced methods of algorithmic design, analysis, and implementation. Techniques to be covered include amortization, randomization, fingerprinting, word-level parallelism, bit scaling, dynamic programming, network flow, linear programming, fixed-parameter algorithms, and approximation algorithms. Domains include string algorithms, network optimization, parallel algorithms, computational geometry, online algorithms, external memory, cache, and streaming algorithms, and data structures.
Following a brief classroom discussion of relevant principles, each student in this course completes the paper design of several advanced circuits such as multiplexers, sample-and-holds, gain-controlled amplifiers, analog multipliers, digital-to-analog or analog-to-digital converters, and power amplifiers. One of each student's designs is presented to the class, and one may be built and evaluated. Associated laboratory assignments emphasize the use of modern analog building blocks. This course is worth 12 Engineering Design Points.
This graduate-level course focuses on current research topics in computational complexity theory. Topics include: Nondeterministic, alternating, probabilistic, and parallel computation models; Boolean circuits; Complexity classes and complete sets; The polynomial-time hierarchy; Interactive proof systems; Relativization; Definitions of randomness; Pseudo-randomness and derandomizations;Interactive proof systems and probabilistically checkable proofs.