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Alan Turing: Crash Course Computer Science #15
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Today we’re going to take a step back from programming and discuss the person who formulated many of the theoretical concepts that underlie modern computation - the father of computer science himself: Alan Turing. Now normally we try to avoid “Great Man" history in Crash Course because truthfully all milestones in humanity are much more complex than just an individual or through a single lens - but for Turing we are going to make an exception. From his theoretical Turing Machine and work on the Bombe to break Nazi Enigma codes during World War II, to his contributions in the field of Artificial Intelligence (before it was even called that), Alan Turing helped inspire the first generation of computer scientists - despite a life tragically cut short.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
Complexly
Provider Set:
Crash Course Computer Science
Date Added:
06/07/2017
The Alan Walks Wales Dataset: Quantified self and open data
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CC BY-NC-SA
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This case study describes the educational use of an open dataset collected as part of a thousand mile research walk. The content connects to many hot topics including quantified self, privacy, biosensing, mobility and the digital divide, so has an immediate interest to students. It includes inter-linkable qualitative and quantitative data, in a variety of specialist and general formats, so offers a variety of technical challenges including visualisation and data mining as well. Finally, it is raw data with all the glitches, gaps and problems attached to this.

The case study draws on experience in two educational settings: the first with a group of computer science and interaction design masters students in class-based discussions run by the first author; the second a computer science bachelor's project supervised by the second author.

Subject:
Applied Science
Computer Science
Material Type:
Case Study
Author:
Geoffrey Ellis
Alan Dix
Date Added:
04/09/2019
Alaska: AK-01 Columbia Glacier Kadin (Narrated)
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This short, time-lapse video shows the changes in the Columbia Glacier from May 12, 2007 to August 20, 2010. Narration provides general description of the geophysical dynamics and processes.

Subject:
Applied Science
Environmental Science
Physical Science
Material Type:
Lecture
Provider:
CLEAN: Climate Literacy and Energy Awareness Network
Provider Set:
CLEAN: Climate Literacy and Energy Awareness Network
Author:
Extreme Ice Survey
Date Added:
08/17/2018
Alaska GPS Analysis of Plate Tectonics and Earthquakes
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CC BY-NC-SA
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This activity introduces students to high precision GPS as it is used in geoscience research. Students build "gumdrop" GPS units and study data from three Alaska GPS stations from the Plate Boundary Observatory network. They learn how Alaska's south central region is "locked and loading" as the Pacific Plate pushes into North America and builds up energy that will be released in the future in other earthquakes such as the 1964 Alaska earthquake.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Subject:
Applied Science
Biology
Engineering
Life Science
Mathematics
Measurement and Data
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Teach the Earth
Author:
Beth Pratt-Sitaula
Date Added:
09/26/2022
Alaska Native Pilots
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Educational Use
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In this video adapted from Storyknife Productions, Alaska Native pilots share how they use traditional knowledge to read the landscape and predict the weather.

Subject:
Applied Science
Ecology
Environmental Science
Forestry and Agriculture
Geoscience
Life Science
Physical Science
Space Science
Material Type:
Lecture
Provider:
PBS LearningMedia
Provider Set:
PBS Learning Media: Multimedia Resources for the Classroom and Professional Development
Author:
National Science Foundation
WGBH Educational Foundation
Date Added:
11/04/2008
Alaska Native Teens Help Researchers
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Educational Use
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In this video adapted from KUAC-TV and the Geophysical Institute at the University of Alaska, Fairbanks, Alaska Native students contribute to research on how their environment is changing as a result of global warming.

Subject:
Applied Science
Ecology
Environmental Science
Forestry and Agriculture
Geoscience
Life Science
Physical Science
Space Science
Material Type:
Lesson
Provider:
PBS LearningMedia
Provider Set:
PBS Learning Media Common Core Collection
Author:
National Science Foundation
WGBH Educational Foundation
Date Added:
11/04/2008
Alaska Native Villages Work to Enhance Local Economies as They Minimize Environmental Risks
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As reduced sea ice conditions bring increased shipping and development opportunities to the Arctic, Alaska Native Village Corporations are at the table with resource developers, representing the interests of their people and land.

Subject:
Applied Science
Material Type:
Case Study
Provider:
National Oceanic and Atmospheric Administration
Provider Set:
U.S. Climate Resilience Toolkit
Date Added:
08/09/2016
Alaska Tsunami
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Educational Use
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In this video adapted from Alaska Sea Grant, discover why multiple tsunamis resulted from the Great Alaska Earthquake of 1964.

Subject:
Applied Science
Ecology
Environmental Science
Forestry and Agriculture
Geoscience
Life Science
Oceanography
Physical Science
Space Science
Material Type:
Lecture
Provider:
PBS LearningMedia
Provider Set:
PBS Learning Media: Multimedia Resources for the Classroom and Professional Development
Author:
National Science Foundation
WGBH Educational Foundation
Date Added:
11/04/2008
Alerte Terre!: An Interactive Lecture  Activity  on  Environmental Topics
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CC BY-NC-SA
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In this Interactive Lecture Demonstration, students will predict the main issues that might be included in short French language videos treating topics such as endangered species, organic farming, the effect of aerosols on the environment, pollution and sustainable development. They will then view short videos on the topics and reflect on how their prior assumptions meshed with reality.

Subject:
Applied Science
Arts and Humanities
Biology
Ecology
Environmental Science
Geoscience
Languages
Life Science
Physical Science
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Starting Point (SERC)
Author:
Laura Franklin
Date Added:
08/28/2012
Algae: Tiny Plants with Big Energy Potential
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Educational Use
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Students are introduced to biofuels, biological engineers, algae and how they grow (photosynthesis), and what parts of algae can be used for biofuel (biomass from oils, starches, cell wall sugars). Through this lesson, plants—and specifically algae—are presented as an energy solution. Students learn that breaking apart algal cell walls enables access to oil, starch, and cell wall sugars for biofuel production. Students compare/contrast biofuels and fossil fuels. They learn about the field of biological engineering, including what biological engineers do. A 20-slide PowerPoint® presentation is provided that supports students taking notes in the Cornell format. Short pre- and post-quizzes are provided. This lesson prepares students to conduct the associated activity in which they make and then eat edible algal cell models.

Subject:
Applied Science
Biology
Chemistry
Engineering
Life Science
Physical Science
Material Type:
Lesson
Provider:
TeachEngineering
Provider Set:
Lessons
Author:
Lauren Jabusch
Date Added:
05/16/2017
Algebraic Techniques and Semidefinite Optimization
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CC BY-NC-SA
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This research-oriented course will focus on algebraic and computational techniques for optimization problems involving polynomial equations and inequalities with particular emphasis on the connections with semidefinite optimization. The course will develop in a parallel fashion several algebraic and numerical approaches to polynomial systems, with a view towards methods that simultaneously incorporate both elements. We will study both the complex and real cases, developing techniques of general applicability, and stressing convexity-based ideas, complexity results, and efficient implementations. Although we will use examples from several engineering areas, particular emphasis will be given to those arising from systems and control applications.

Subject:
Applied Science
Engineering
Mathematics
Material Type:
Full Course
Provider Set:
MIT OpenCourseWare
Author:
Parrilo, Pablo
Date Added:
02/01/2006
Algorithm Engineering
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CC BY-NC-SA
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This is a research-oriented course on algorithm engineering, which will cover both the theory and practice of algorithms and data structures. Students will learn about models of computation, algorithm design and analysis, and performance engineering of algorithm implementations. We will study the design and implementation of sequential, parallel, cache-efficient, external-memory, and write-efficient algorithms for fundamental problems in computing. Many of the principles of algorithm engineering will be illustrated in the context of parallel algorithms and graph problems.

Subject:
Applied Science
Computer Science
Engineering
Material Type:
Full Course
Provider Set:
MIT OpenCourseWare
Author:
Leiserson, Charles
Shun, Julian
Date Added:
02/01/2023
Algorithmic Aspects of Machine Learning
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This course is organized around algorithmic issues that arise in machine learning. Modern machine learning systems are often built on top of algorithms that do not have provable guarantees, and it is the subject of debate when and why they work. In this class, we focus on designing algorithms whose performance we can rigorously analyze for fundamental machine learning problems.

Subject:
Applied Science
Computer Science
Engineering
Mathematics
Material Type:
Full Course
Provider Set:
MIT OpenCourseWare
Author:
Moitra, Ankur
Date Added:
02/01/2015
Algorithmic Bias
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CC BY-NC-ND
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This lesson centers around the How AI Works: Equal Access and Algorithmic Bias video from the How AI Works video series. Watch this video first before exploring the lesson plan.

In this lesson, students will practice cropping images to uncover the bias underlying the Twitter cropping algorithm. Then, students will read and watch a video about the discovery of this biased algorithm. Finally, students will discuss ways to recognize and reduce bias along with analyzing Twitter's response to the allegations of bias in their cropping algorithm.

This lesson can be taught on its own, or as part of a 7-lesson sequence on How AI Works. Duration: 45 minutes

Subject:
Applied Science
Computer Science
Mathematics
Statistics and Probability
Material Type:
Lesson Plan
Provider:
Code.org
Provider Set:
How AI Works
Date Added:
04/03/2024
Algorithmic Bias and Fairness: Crash Course AI #18
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Today, we're going to talk about five common types of algorithmic bias we should pay attention to: data that reflects existing biases, unbalanced classes in training data, data that doesn't capture the right value, data that is amplified by feedback loops, and malicious data. Now bias itself isn't necessarily a terrible thing, our brains often use it to take shortcuts by finding patterns, but bias can become a problem if we don't acknowledge exceptions to patterns or if we allow it to discriminate.

Subject:
Applied Science
Computer Science
Information Science
Material Type:
Lecture
Provider:
Complexly
Provider Set:
Crash Course Artificial Intelligence
Date Added:
01/06/2020
Algorithmic Lower Bounds: Fun with Hardness Proofs
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6.890 Algorithmic Lower Bounds: Fun with Hardness Proofs is a class taking a practical approach to proving problems can’t be solved efficiently (in polynomial time and assuming standard complexity-theoretic assumptions like P ≠ NP). The class focuses on reductions and techniques for proving problems are computationally hard for a variety of complexity classes. Along the way, the class will create many interesting gadgets, learn many hardness proof styles, explore the connection between games and computation, survey several important problems and complexity classes, and crush hopes and dreams (for fast optimal solutions).

Subject:
Applied Science
Computer Science
Engineering
Mathematics
Material Type:
Full Course
Provider Set:
MIT OpenCourseWare
Author:
Demaine, Erik
Date Added:
09/01/2014
Algorithm predicts neural electrical activity during shock therapy
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This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"A new algorithm has successfully mapped part of the brain’s circuitry during shock therapy. For those suffering from severe depression, the approach could make for safer and more effective treatment. For brain research at large, it could lead to better ways of untangling noisy neural data to reveal real connections between different focal regions of the brain. Despite the gruesome picture painted by pop culture, modern shock therapy is a mild treatment option. In fact, over 2 million treatments are administered worldwide every year. Under general anesthesia, patients receive a small amount of current to the brain, triggering a brief seizure. The resulting changes in brain chemistry have been shown to reverse symptoms of mental health conditions like severe depression or bipolar disorder. But the procedure isn’t perfect. One of the most troubling side effects is memory loss, a result of poor targeting. To be effective and safe, induced seizures should be restricted to the pre-frontal cortex..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Subject:
Anatomy/Physiology
Applied Science
Health, Medicine and Nursing
Life Science
Material Type:
Diagram/Illustration
Reading
Provider:
Research Square
Provider Set:
Video Bytes
Date Added:
09/20/2019