Updating search results...

Search Resources

697 Results

View
Selected filters:
  • Computer Science
Ambient Intelligence, Spring 2005
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course will provide an overview of a new vision for Human-Computer Interaction (HCI) in which people are surrounded by intelligent and intuitive interfaces embedded in the everyday objects around them. It will focus on understanding enabling technologies and studying applications and experiments, and, to a lesser extent, it will address the socio-cultural impact. Students will read and discuss the most relevant articles in related areas: smart environments, smart networked objects, augmented and mixed realities, ubiquitous computing, pervasive computing, tangible computing, intelligent interfaces and wearable computing. Finally, they will be asked to come up with new ideas and start innovative projects in this area.

Subject:
Applied Science
Computer Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Maes, Patricia
Date Added:
01/01/2005
Animated Division Stories (Problem-Based Interactive Learning)
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Students will work with a partner to write, solve, check, and animate a division story problem based on a division expression using a sharing model.

Subject:
Composition and Rhetoric
Computer Science
English Language Arts
Mathematics
Numbers and Operations
Speaking and Listening
Material Type:
Lesson Plan
Author:
Jody Walker
Date Added:
03/24/2019
Animation Using Loops
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

In this lesson, students will apply the concept of loops they learned in order to animate their sprites.

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Author:
NYC Computer Science for All
Date Added:
06/10/2021
App Inventor Maker Cards
Conditional Remix & Share Permitted
CC BY-SA
Rating
0.0 stars

This set of cards can be used in a workshop or a "Maker Faire" type of event. They give quick tidbits of code for building mini-apps with App Inventor. Use them in exhibits, parent nights, STEM fairs, after-school clubs, or anywhere that you need to get people jump-started using App Inventor.

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Author:
MIT
Date Added:
04/10/2020
Artificial Intelligence, Fall 2010
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems, understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering, and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.

Subject:
Applied Science
Computer Science
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Winston, Patrick Henry
Date Added:
01/01/2010
Assessing Creativity in Computing Classrooms
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

The excitement for the creative power of programming and the questions about how to assess students’ creative work prompted us to undertake this project, which was funded through the generous support of Google’s Computer Science Education Research program. In this project, we were guided by a central question: How do K-12 computing teachers assess creative programming work? Our approach was simple: during the summer of 2019, we talked to 80 K–12 computing teachers across the U.S. about how they supported and assessed creative work in programming activities. In our conversations, typically between two teachers and a member of our team, teachers brought a pair of assessment examples and used those examples as the foundation for a broader discussion about creativity, programming, and assessment.

Through these conversations, as well as an examination of the assessment research literature, we identified key principles that guide the assessment of creative programming activities:
-Foster a classroom culture that values assessment.
-See student process as well as product.
-Understand what is creative for the student.
-Support students by incorporating feedback from multiple perspectives.
-Scaffold opportunities for students to develop judgment of their own work.

Thanks to these incredible teachers who met with us and generously shared their thinking about their practice, we were able to gather more than 300 assessments, ranging from class project rubrics to examples of student project portfolios. In this document, we are sharing our understandings in two ways: (1) a collection of four case studies, and (2) a selection of 50 assessments. The case studies tell the stories of four teachers who are putting the guiding principles of creative assessment into practice in the complex, real-life contexts of their classrooms.

The 50 assessments represent a curated collection of real assessments that teachers are using in their classrooms, accompanied by quotes from teachers about what the assessment of creative work entails.

Subject:
Applied Science
Computer Science
Material Type:
Assessment
Author:
Creative Computing Lab - Harvard Graduate School of Education
Date Added:
06/28/2021
Automata, Computability, and Complexity, Spring 2011
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course provides a challenging introduction to some of the central ideas of theoretical computer science. Beginning in antiquity, the course will progress through finite automata, circuits and decision trees, Turing machines and computability, efficient algorithms and reducibility, the P versus NP problem, NP-completeness, the power of randomness, cryptography and one-way functions, computational learning theory, and quantum computing. It examines the classes of problems that can and cannot be solved by various kinds of machines. It tries to explain the key differences between computational models that affect their power.

Subject:
Applied Science
Computer Science
Information Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Aaronson, Scott
Date Added:
01/01/2011
Automatic Speech Recognition, Spring 2003
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Graduate-level introduction to automatic speech recognition. Provides relevant background in acoustic theory of speech production, properties of speech sounds, signal representation, acoustic modeling, pattern classification, search algorithms, stochastic modeling techniques (including hidden Markov modeling), and language modeling. Examines approaches of state-of-the-art speech recognition systems. Introduces students to the rapidly developing field of automatic speech recognition. Its content is divided into three parts. Part I deals with background material in the acoustic theory of speech production, acoustic-phonetics, and signal representation. Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques. Part III compares and contrasts the various approaches to speech recognition, and describes advanced techniques used for acoustic-phonetic modelling, robust speech recognition, speaker adaptation, processing paralinguistic information, speech understanding, and multimodal processing.

Subject:
Applied Science
Computer Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Glass, James Robert
Date Added:
01/01/2003
Beats Empire
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

The PFACS game engages students in playing the role of a music producer who must use data and computational thinking to promote their artist’s careers. “Data and Analysis” is one of five strands in the CS K-12 Framework — and it is a strand that readily bridges to mathematics and science content that you already teach. By giving students time to play the game and then having related classroom discussions, you can gain insight into your students’ progress in understanding these concepts.

This game does NOT require any coding skills nor knowledge of any programming language. It is about making choices using computational thinking concepts, not about writing code.

Beats Empire was designed for teachers:

In middle schools classrooms
That integrate data science, computational thinking and related concepts
For about an hour of use spread over 2-3 class periods
Where students have access to any computer, laptop or desktop, with Chrome or Firefox browser (not recommended for tablets or phones).
The key goals of Beats Empire are:

Students explore how their data skills addresses a real world challenge
Students gain career awareness of attractive data science jobs
Teachers increase their understanding of what students know and can do

Subject:
Applied Science
Computer Science
Mathematics
Social Science
Material Type:
Activity/Lab
Author:
Beats Empire
Date Added:
04/21/2020
Bee Bot Circus
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

In this lesson, students use the Bee Bots to move throughout their space. If Bee Bots are inaccessible, the lesson can be adapted by using the online coding platform. 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
Beginning Excel
Unrestricted Use
CC BY
Rating
0.0 stars

This textbook was written for a community college introductory course in spreadsheets utilizing Microsoft Excel. While the figures shown utilize Excel 2016, the textbook was written to be applicable to other versions of Excel as well. The book introduces new users to the basics of spreadsheets and is appropriate for students in any major who have not used Excel before.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
OpenOregon
Author:
Barbara Lave
Diane Shingledecker
Julie Romey
Mary Schatz
Noreen Brown
Date Added:
01/01/2017
Behavior of Algorithms, Spring 2002
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Study of an area of current interest in theoretical computer science. Topic varies from term to term. This course is a study of Behavior of Algorithms and covers an area of current interest in theoretical computer science. The topics vary from term to term. During this term, we discuss rigorous approaches to explaining the typical performance of algorithms with a focus on the following approaches: smoothed analysis, condition numbers/parametric analysis, and subclassing inputs.

Subject:
Applied Science
Computer Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Spielman, Daniel
Date Added:
01/01/2002
Boredom Buster DL Hyperdoc
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

In this week 1 of 6 hyperdocs, students are presented a problem and solve it through the use of one of the Computational Thinking strategies. This lesson is designed with K-5 in mind, and can be adapted to meet the needs of any classroom.Week 1 Problem: James has just learned that he has to stay inside for a few weeks and can’t play with his friends. He has an iPad, but his mom said he can only have it for 30 minutes a day. He also has toys, but says he is bored of them and has nothing fun to do. His mom said he could have anything in her craft room, but he doesn’t know what to do with the boxes, string, fabric, tape, sticks, and paint.  What can James do to make his day fun?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