Updating search results...

Search Resources

700 Results

View
Selected filters:
  • Computer Science
AI Unplugged: Unplugging Artificial Intelligence
Conditional Remix & Share Permitted
CC BY-NC
Rating
0.0 stars

AI (Artificial Intelligence) is becoming a topic of increasing social importance. Political reactions like the publication of the AI strategy of the German Government in late 2018 are one indicator for that. But more importantly, we are already interacting with AI systems as if it were the most natural thing in the world, for example, when using language assistants such as Siri or Alexa. Nevertheless, according to surveys, over 50% of Germans do not know what artificial intelligence is.

To address this issue, we have put together a collection of Unplugged Activities related to the topic of AI. Unplugged Activities provide approaches that help learners of all ages to experience the ideas and concepts of computer science actively and do
without the use of a computer.

This brochure contains five activities you can use to teach ideas and concepts of artificial intelligence to learners of all ages.

Nowadays, AI is primarily realized through machine learning, but artificial intelligence is far more than that: AI is not only about technical aspects, but also raises questions of social relevance. This brochure shows possibilities, how these topics can be discussed with children and adults

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Author:
Stefan Seegerer
Annabel Lindner
Date Added:
02/03/2024
Abstraction Unplugged
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

In this lesson, students will be presented with a project that they will decompose with their partners without having access to its code and without access to a computer. Students will work in teams to recreate the project shown in the following lesson.

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Author:
NYC Computer Science for All
Date Added:
06/10/2021
Advanced Algorithms, Fall 2008
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

" 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."

Subject:
Applied Science
Computer Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Goemans, Michel
Date Added:
01/01/2008
Advanced Circuit Techniques, Spring 2002
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Following a brief classroom discussion of relevant principles, each student 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 emphasizing the use of modern analog building blocks. Alternate years.

Subject:
Applied Science
Computer Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Roberge, Jim
Date Added:
01/01/2002
Advanced Topics in Cryptography, Spring 2003
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Recent results in cryptography and interactive proofs. Lectures by instructor, invited speakers, and students. Alternate years. The topics covered in this course include interactive proofs, zero-knowledge proofs, zero-knowledge proofs of knowledge, non-interactive zero-knowledge proofs, secure protocols, two-party secure computation, multiparty secure computation, and chosen-ciphertext security.

Subject:
Applied Science
Computer Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Micali, Silvio
Date Added:
01/01/2003
Adventures in Advanced Symbolic Programming, Spring 2009
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

" This course covers concepts and techniques for the design and implementation of large software systems that can be adapted to uses not anticipated by the designer. Applications include compilers, computer-algebra systems, deductive systems, and some artificial intelligence applications. Topics include combinators, generic operations, pattern matching, pattern-directed invocation, rule systems, backtracking, dependencies, indeterminacy, memoization, constraint propagation, and incremental refinement. Substantial weekly programming Assignments and Labs are an integral part of the subject. There will be extensive programming Assignments and Labs, using MIT/GNU Scheme. Students should have significant programming experience in Scheme, Common Lisp, Haskell, CAML or some other "functional" language."

Subject:
Applied Science
Computer Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Sussman, Gerald
Date Added:
01/01/2009
Algorithm Deli
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

In this unplugged lesson, students will learn how to develop algorithms and the importance of providing specific instructions while making a simple deli sandwich. This lesson is part of the Virginia K-12 Computer Science Pipeline which is partly funded through a GO Virginia grant in partnership with Chesapeake Public Schools, Loudoun County Public Schools, and the Loudoun Education Foundation.

Subject:
Applied Science
Computer Science
English Language Arts
Material Type:
Lesson
Date Added:
04/26/2021
Algorithm Deli
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

In this unplugged lesson, students will learn how to develop algorithms and the importance of providing specific instructions while making a simple deli sandwich.

The Big Idea: Why are detailed instructions important when communicating ideas with others?

Subject:
Applied Science
Computer Science
English Language Arts
Material Type:
Lesson
Date Added:
06/15/2021
Algorithm Monster (Unplugged)
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

In this unplugged CS lesson, students will learn the importance of giving detailed directions when sharing ideas. This transfers to programming when students are told that when they provide instructions to the computer, they too need to be detailed and specific. This lesson is part of the Virginia K-12 Computer Science Pipeline which is partly funded through a GO Virginia grant in partnership with Chesapeake Public Schools, Loudoun County Public Schools, and the Loudoun Education Foundation.

Subject:
Applied Science
Computer Science
English Language Arts
Material Type:
Lesson
Date Added:
04/26/2021
Algorithms
Unrestricted Use
CC BY
Rating
0.0 stars

A presentation to help young students define and understand what an algorithm is.

Subject:
Applied Science
Computer Science
Material Type:
Module
Author:
NYC Department of Education
Date Added:
06/01/2021
Algorithms for Computer Animation, Fall 2002
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

In-depth study of an active research topic in computer graphics. Topics change each term. Readings from the literature, student presentations, short assignments, and a programming project. Animation is a compelling and effective form of expression; it engages viewers and makes difficult concepts easier to grasp. Today's animation industry creates films, special effects, and games with stunning visual detail and quality. This graduate class will investigate the algorithms that make these animations possible: keyframing, inverse kinematics, physical simulation, optimization, optimal control, motion capture, and data-driven methods. Our study will also reveal the shortcomings of these sophisticated tools. The students will propose improvements and explore new methods for computer animation in semester-long research projects. The course should appeal to both students with general interest in computer graphics and students interested in new applications of machine learning, robotics, biomechanics, physics, applied mathematics and scientific computing.

Subject:
Applied Science
Arts and Humanities
Computer Science
Literature
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Popovic, Jovan
Date Added:
01/01/2002