23 Things is a suite of 23 self-paced online modules that cover a range of topics from video editing to basic coding. Each module or 'thing' consists of information, interactive activities, and invitations to try out various open and free software applications and technologies. The modules have been created using H5P and can be downloaded individually as a single H5P file, modified and re-used under a CC-BY-SA license - simply click on the 'reuse' link at the bottom of each module.

The content was created by Curtin University students as part of a 'students as partners' project.

Students and professionals in science, design and technology have to develop and communicate concepts that are often difficult to comprehend for the public, their peers and even themselves.

IMAGE | ABILITY – Visualizing the Unimaginable, will help you enhance your communication and interpersonal skills and provide insight, tips and tricks to make such complex and seemingly unimaginable concepts and ideas imaginable.

After finishing this course you will be more skilled in finding the right visual language to convey your ideas, thoughts and vision. You will be able to illustrate units and quantities, concepts and themes and you will know how to unravel complexity by using diagrams and schemes.

This toolkit is designed to help education authorities, school leaders, and teachers create thoughtful guidance to help their communities realize the potential benefits of incorporating artificial intelligence (AI) in primary and secondary education while understanding and mitigating the potential risks. ​

With guidance, an education system may realize the potential benefits of AI to improve learning outcomes, support teacher instruction and quality of life, and enhance educational equity. Without guidance, teachers and students can be exposed to privacy violations, inconsistent disciplinary consequences, and counterproductive AI adoption practices.

TeachAI brings together education leaders and technology experts to assist governments and education authorities in teaching with and about AI. The initiative is led by the TeachAI Steering Committee: Code.org, ETS, the International Society for Technology in Education, Khan Academy, and the World Economic Forum, and advised by a diverse group of 60+ organizations, governments, and individuals. TeachAI’s goals include increasing awareness, building community and capacity, and guiding policy.

Authors:
Pat Yongpradit, Pam Vachatimanont, and Charlotte Dungan, Code.org
Keith Krueger and Pete Just, Consortium for School Networking (CoSN)
Pati Ruiz, Digital Promise
Beth Havinga, European EdTech Alliance
Alix Gallagher and Benjamin Cottingham, Policy Analysis for California Education (PACE)
Jim Larimore, Strategic Advisor​

AI Guidance for Schools Toolkit © 2023 by Code.org, CoSN, Digital Promise, European EdTech Alliance, and PACE is licensed under CC BY-NC-SA 4.0 . This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This online module on artificial intelligence (AI) and information literacy covers how to understand, assess, cite, and use AI tools.

Students should expect to spend about 1-2 hours reading/watching the information in this module and completing a couple short quizzes and activities. Learning outcomes:

- Explain generally how AI-based tools work as well as their benefits and risks.
- Recognize when AI gives inaccurate or misleading answers, and fact-check AI output.
- Cite AI-generated work.
- Begin exploring creative ways to use these tools.

Canvas Commons version that includes quizzes is also available for reuse in Canvas-based courses.
Explore the LibGuide version here: https://lib.guides.umd.edu/AI

Developed by the Libraries and the Teaching and Learning Transformation Center (TLTC) at the University of Maryland. Special thanks to The Institute for Trustworthy AI in Law & Society (TRAILS) for their collaboration.

" 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."

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.

This class presents the application of principles of soil mechanics. It considers the following topics: the origin and nature of soils; soil classification; the effective stress principle; hydraulic conductivity and seepage; stress-strain-strength behavior of cohesionless and cohesive soils and application to lateral earth stresses; bearing capacity and slope stability; consolidation theory and settlement analyses; and laboratory and field methods for evaluation of soil properties in design practice.

This course is a continuation of 24.951. This semester the course topics of interest include movement, phrase structure, and the architecture of the grammar.

This course provides a deep understanding of engineering systems at a level intended for research on complex engineering systems. It provides a review and extension of what is known about system architecture and complexity from a theoretical point of view while examining the origins of and recent developments in the field. The class considers how and where the theory has been applied, and uses key analytical methods proposed. Students examine the level of observational (qualitative and quantitative) understanding necessary for successful use of the theoretical framework for a specific engineering system. Case studies apply the theory and principles to engineering systems.

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.

How can you reduce the energy loss of your home? What is the underlying science of energy loss in pipes? Which heat and mass transfer problems do we have to tackle to make consumer products?

In this engineering course, you will learn about the engineering principles that play an important role in all of these and more phenomena. You will learn about microbalances, radiation, convection, diffusion and more and their applications in everyday life.

This advanced course is for engineers who want to refresh their knowledge, engineering students who are eager to learn more about heat/mass transport and for all who have fun in explaining the science of phenomena in nature.

Advanced subject focusing on techniques, format, and prose style used in academic and professional life. Emphasis on writing as required in fields such as economics, political science, and architecture. Short assignments include: business letters, memos, and proposals that lead toward a written term project. Methods designed to deal with the special problems of those whose first language is not English. Successful completion satisfies Phase II of the Writing Requirement. This workshop is designed to help you write clearly, accurately and effectively in both an academic and a professional environment. In class, we analyze various forms of writing and address problems common to advanced speakers of English. We will often read one another's work.

" 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."

Building on Complex Adaptive Systems theory and basic Agent Based Modeling knowledge presented in SPM4530, the Advanced course will focus on the model development process. The students are expected to conceptualize, develop and verify a model during the course, individually or in a group. The modeling tasks will be, as much as possible, based on real life research problems, formulated by various research groups from within and outside the faculty.
Study Goals The main goal of the course is to learn how to form a modeling question, perform a system decomposition, conceptualize and formalize the system elements, implement and verify the simulation and validate an Agent Based Model of a socio-technical system.

Our human society consists of many intertwined Large Scale Socio-Technical Systems (LSSTS), such as infrastructures, industrial networks, the financial systems etc. Environmental pressures created by these systems on Earth‰ŰŞs carrying capacity are leading to exhaustion of natural resources, loss of habitats and biodiversity, and are causing a resource and climate crisis. To avoid this sustainability crisis, we urgently need to transform our production and consumption patterns. Given that we, as inhabitants of this planet, are part of a complex and integrated global system, where and how should we begin this transformation? And how can we also ensure that our transformation efforts will lead to a sustainable world? LSSTS and the ecosystems that they are embedded in are known to be Complex Adaptive Systems (CAS). According to John Holland CAS are "...a dynamic network of many agents (which may represent cells, species, individuals, firms, nations) acting in parallel, constantly acting and reacting to what the other agents are doing. The control of a CAS tends to be highly dispersed and decentralized. If there is to be any coherent behavior in the system, it will have to to arise from competition and cooperation among the agents themselves. The overall behavior of the system is the result of a huge number of decisions made every moment" by many individual agents. Understanding Complex Adaptive Systems requires tools that themselves are complex to create and understand. Shalizi defines Agent Based Modeling as "An agent is a persistent thing which has some state we find worth representing, and which interacts with other agents, mutually modifying each other‰ŰŞs states. The components of an agent-based model are a collection of agents and their states, the rules governing the interactions of the agents and the environment within which they live." This course will explore the theory of CAS and their main properties. It will also teach you how to work with Agent Based Models in order to model and understand CAS.

16.885J offers an holistic view of the aircraft as a system, covering: basic systems engineering; cost and weight estimation; basic aircraft performance; safety and reliability; lifecycle topics; aircraft subsystems; risk analysis and management; and system realization. Small student teams retrospectively analyze an existing aircraft covering: key design drivers and decisions; aircraft attributes and subsystems; and operational experience. Oral and written versions of the case study are delivered. For the Fall 2005 term, the class focuses on a systems engineering analysis of the Space Shuttle. It offers study of both design and operations of the shuttle, with frequent lectures by outside experts. Students choose specific shuttle systems for detailed analysis and develop new subsystem designs using state of the art technology.

This is a textbook for first year Computer Science. Algorithms and Data Structures With Applications to Graphics and Geometry.

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.

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.

This is a seminar course that explores the history of selected features of the physical environment of urban America. Among the features considered are parks, cemeteries, tenements, suburbs, zoos, skyscrapers, department stores, supermarkets, and amusement parks. The course gives students experience in working with primary documentation sources through its selection of readings and class discussions. Students then have the opportunity to apply this experience by researching their own historical questions and writing a term paper.