16.225 is a graduate level course on Computational Mechanics of Materials. The primary focus of this course is on the teaching of state-of-the-art numerical methods for the analysis of the nonlinear continuum response of materials. The range of material behavior considered in this course includes: linear and finite deformation elasticity, inelasticity and dynamics. Numerical formulation and algorithms include: variational formulation and variational constitutive updates, finite element discretization, error estimation, constrained problems, time integration algorithms and convergence analysis. There is a strong emphasis on the (parallel) computer implementation of algorithms in programming assignments. The application to real engineering applications and problems in engineering science is stressed throughout the course.

This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, MATLAB®, and Mathematica. Emphasis is placed on program design, algorithm development and verification, and comparative advantages and disadvantages of different languages.

This course is a graduate level introduction to automatic discourse processing. The emphasis will be on methods and models that have applicability to natural language and speech processing.
The class will cover the following topics: discourse structure, models of coherence and cohesion, plan recognition algorithms, and text segmentation. We will study symbolic as well as machine learning methods for discourse analysis. We will also discuss the use of these methods in a variety of applications ranging from dialogue systems to automatic essay writing.
This subject qualifies as an Artificial Intelligence and Applications concentration subject.

The theoretical frameworks of Hartree-Fock theory and density functional theory are presented in this course as approximate methods to solve the many-electron problem. A variety of ways to incorporate electron correlation are discussed. The application of these techniques to calculate the reactivity and spectroscopic properties of chemical systems, in addition to the thermodynamics and kinetics of chemical processes, is emphasized. This course also focuses on cutting edge methods to sample complex hypersurfaces, for reactions in liquids, catalysts and biological systems.

This course provides the fundamental computational toolbox for solving science and engineering problems. Topics include review of linear algebra, applications to networks, structures, estimation, finite difference and finite element solutions of differential equations, Laplace’s equation and potential flow, boundary-value problems, Fourier series, the discrete Fourier transform, and convolution. We will also explore many topics in AI and machine learning throughout the course.

This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace’s equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.
Note: This course was previously called “Mathematical Methods for Engineers I.”

This is a lesson plan designed for 3rd-5th graders that focuses on the core concepts of robots and what it takes to code them. Students build an understanding of algorithms and how to write a sequence of steps in order to accomplish a task. The lesson plan includes four vocabulary words that are regularly used in the lesson, a group Kahoot game to master these words, and instructions and handouts for a "code your friend" game where students get to pretend to be the robot.

The lesson takes 45 minutes.

Vocabulary:
Algorithm: a list of steps to finish a task
Program: an algorithm that has been coded into something that can be run by a machine
Bug: part of a program that does not work correctly
Debugging: finding and fixing problems in an algorithm or program

Resources (also included in the plan)
Nearpod Presentation
https://share.nearpod.com/qlLTPeI79R
Kahoot Vocab
https://play.kahoot.it/#/k/9d5000e6-5412-4776-8bd8-54a5962ccca1
Stacking Cup Ideas Handout
https://docs.google.com/document/d/1nhgt_BfbOmj4lCrcYRC5_QdXsbUbUnNbrMTK9qyFpmE/edit?usp=sharing

Standards:
3-5.DI.2 Develop a simple understanding of an algorithm (e.g., search, sequence of events, or
sorting) using computer-free exercises.

3-5.DI.1 Understand and use the basic steps in algorithmic problem solving (e.g., problem
statement and exploration, examination of sample instances, design, implementation, and
testing).

3-5.CD.2 Understand the pervasiveness of computers and computing in daily life (e.g., voicemail,
downloading videos and audio files, microwave ovens, thermostats, wireless Internet, mobile
computing devices, GPS systems).

This interactive textbook provides an educational resource into computational design for (industrial) designers. The book focusses on the use of computational design of products/artifacts at a human scale, which might be contrasted by the architectural/build environment scale – a domain which also extensively utilizes computational design principles and tools. Throughout the book, we make use of (commercial) computer-aided-design software, namely Rhinoceros®, and specifically the (build-in) module Grasshopper®.

The lessons and knowledge base offered in this book focus on topics that are specifically relevant for and/or attuned to product design (scale), which are categorized in relation to its goal (e.g. design for personalized fit/comfort/aesthetics), by its means (e.g. design for digital fabrication), or for its role in the design process (e.g. for design exploration or design simulation).

The book is intended for students both at bachelor and master level. As we believe in a learning-by-doing approach, we aimed for a hands-on, easy-to-get-started set of introductory lessons, which is complemented with a knowledge base. The introductory lessons do not assume any specific prior skills or knowledge (in general or with Rhino Grasshopper) to get started. Yet, (some) experience with computer-aided design (CAD), programming, data processing, and/or mathematics will likely be helpful to really delve into the more complex topics, such as those covered in the knowledge base.

The book is currently used as course material in two courses taught at Industrial Design Engineering: “Prototyping with/for Digital Fabrication” (BSc level, part of the Minor Advanced Prototyping), and “Computational design for Digital Fabrication” (MSc level, Elective). The content in this book is in part based on course materials from the above-mentioned courses, which have been been taught to and applied by students with diverse (technical) backgrounds (e.g. industrial design, mechanical engineering, computer science, and electrical engineering). Other parts of the book are inspired by student (graduation) projects and/or follow from research activities by the various contributing authors.

In EARTH 801, you will develop skills in a programming language designed for visual arts and visualization while exploring Earth science topics. Specifically, you'll learn and practice digital graphics capabilities in order to render Earth science concepts that are otherwise difficult to visualize due to complicated space and time scales. Here, you will interact with large, open, freely-available data sets by collecting, plotting, and analyzing them using a variety of computational methods. You'll be ready to teach secondary school students a range of Next Generation Science Standard skills involving data collecting, manipulation, analysis, and plotting. You'll also read and discuss current research regarding the teaching, learning, and evaluation of visualization skills, as well as multiple external representations of science concepts.

This course covers the analytical, graphical, and numerical methods supporting the analysis and design of integrated biological systems. Topics include modularity and abstraction in biological systems, mathematical encoding of detailed physical problems, numerical methods for solving the dynamics of continuous and discrete chemical systems, statistics and probability in dynamic systems, applied local and global optimization, simple feedback and control analysis, statistics and probability in pattern recognition.
An official course Web site and Wiki is maintained on OpenWetWare: 20.181 Computation for Biological Engineers.

This course covers concepts of computation used in analysis of engineering systems. It includes the following topics: data structures, relational database representations of engineering data, algorithms for the solution and optimization of engineering system designs (greedy, dynamic programming, branch and bound, graph algorithms, nonlinear optimization), and introduction to complexity analysis. Object-oriented, efficient implementations of algorithms are emphasized.

Short Description:
This course will introduce the student to Microsoft Excel.

Long Description:
This textbook was written for a community college introductory course in spreadsheets utilizing Microsoft Excel. While the figures shown utilize Excel 2019, 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. This textbook includes instructions for Excel for Mac also.

Word Count: 65627

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

The purpose of this course is to cultivate an understanding of modern computing technology through an in-depth study of the interface between hardware and software. The student will study the history of modern computing technology before learning about modern computer architecture, then the recent switch from sequential processing to parallel processing. Upon completion of this course, students will be able to: identify important advances that have taken place in the history of modern computing and discuss some of the latest trends in computing industry; explain how programs written in high-level programming language, such as C or Java, can be translated into the language of the hardware; describe the interface between hardware and software and explain how software instructs hardware to accomplish desired functions; demonstrate an understanding of the process of carrying out sequential logic design; demonstrate an understanding of computer arithmetic hardware blocks and floating point representation; explain how a hardware programming language is executed on hardware and how hardware and software design affect performance; demonstrate an understanding of the factors that determine the performance of a program; demonstrate an understanding of the techniques that designers use to improve the performance of programs running on hardware; demonstrate an understanding of the importance of memory hierarchy in computer design and explain how memory design impacts overall hardware performance; demonstrate an understanding of storage and I/O devices, their performance measurement, and redundant array of inexpensive disks (more commonly referred to by the acronym RAID) technology; list the reasons for and the consequences of the recent switch from sequential processing to parallel processing in hardware manufacture and explain the basics of parallel programming. (Computer Science 301)

For this 3-part project, students will practice using the problem-solving steps by pretending to help a family member or friend who has asked them to give a recommendation of which computer to buy.

Detailed introduction to the basic hardware and software, architectural components for computer communications in local area networks. The components that are focused upon include understanding the basics of computer networks, switching, routing, protocols and security.

This is the lesson plan for my college level, semester long, computer concepts course. Here's the course description ...

You are about to embark on an exciting journey learning about the information revolution and the incredible world of computers.

This course is very practical and applicable. It focuses on teaching you skills you can use. These skills include not only specific hands-on skills, like "right-clicking" and taking "screenshots," but also skills such as keeping yourself safe online, not texting while you're driving, and what to look for when buying computers (just to mention a very small fraction of the skills this course will teach you).

This is a university level course designed to introduce individuals to the world of computers, so it is rich in its depth and breadth of content. I have taught this course for over a decade and have refined it to be incredibly amazing and awesome. You are going to love this course and it will forever change your life. You will gain skills in this course which you will use for the rest of your life and which will make your life easier. Knowing how to use computers is essential in our day-and-age. This course will give you the skills you need to use computers well.

Presented with high-quality video lectures, this course will visually show you how to easily do everything with computers. This is just some of what you will learn in this course:

Learn the basic principles of hardware including circuits, coding schemes, binary, the five generations of computers, Moore's Law, IPOS, registers, cache, RAM, magnetic storage, optical storage, solid-state storage, ROM, BIOS, the motherboard, buses, and the CPU.

Learn how to operate a computer including a vast array of hands-on skills – just to mention a few for example: managing files, backing –up files, right clicking, taking screenshots, determining your computer’s properties, upgrading your computer, changing settings on your computer.

Learn how to use word processing software including the creation of a title page, document sections, headers and footers, styles, an automatically generated table of contents, the insertion of images, references, and the insertion of an automatically generated citation of works referenced.

Learn how to use spreadsheet software including formulas, functions, relative references, absolute references, mixed references, and the creation of a graph or chart.

Learn how to use video editing software including adding credits and transitions then publishing that video to a video hosting website such as YouTube.

Learn how to use databases including table creation, the setting of a primary key, the establishment of table relationships, the setting of referential integrity, and the creation and execution of a query.

Learn how to use presentation software to more effectively give presentations.

Learn to do some simple programing including designing, coding, testing, debugging, and running a program.

Learn about the world wide web including sending email, conducting searches , having familiarity with online educational resources such as Khan Academy, and having an awareness of online "cloud computing" tools such as Google Word Processing, Google Spreadsheets, and the many other online tools offered by Google.

Learn about application software and system software including operating systems, utilities, and drivers.

Learn about networks including architecture, topology, firewalls, security, wireless networks, and securing wireless networks.

Learn about the Internet, the World Wide Web, censorship, the digital divide, net neutrality, differing legal jurisdictions, website creation, multimedia, social media, and eCommerce.

Learn about information systems, systems development, and the systems development life cycle.

Learn about program development, programming languages, and the program development life cycle.

Learn about databases including table creation, primary keys, relationships, referential integrity, queries, and structured query language.

Learn about privacy and security issues related to computers.

Learn about robots and artificial intelligence including the Turing test.

Learn about intellectual property including patents, trademarks, copyrights, and the creative commons.

Learn about ethics and ethical issues relating to the use of technology.

Learn about health ramifications of using computers including repetitive stress injury, carpal tunnel syndrome, and ergonomics.

Learn about e-Waste and other environmental concerns related to technology.

Lifetime access to this course allows you to easily review material and continue learning new material.

After taking this course, you will have a thorough understanding of how to use computers well.

From beginners, to advanced users, this course is perfect for all ability levels. This course will add value to everyone's skillset.

Short Description:
This course will introduce the student to Microsoft windows, Word, Excel, Access and PowerPoint.

Long Description:
This textbook will introduce the student to Microsoft windows, Word, Excel, Access and PowerPoint. The text covers basic concepts of creating word processing, spreadsheets, databases and presentation materials for the workplace.

Word Count: 26424

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

This powerpoint presentation is a brief lecture about the introduction to computer ethics and its implications on the online community. Common ethical issues are presented and are retrieved from valid sources. Local ethical issues from the Philippines are given to provide viewers specific examples of concerns. 

References:
ABS-CBN News. (2017, June 21). Retrieved from http://news.abs-cbn.com/business/06/21/17/7-bdo-atms-compromised-in-skimming-official

Brey, P. (2007). Computer Ethics in (Higher) Education. Retrieved from https://www.utwente.nl/en/bms/wijsb/staff/brey/Publicaties_Brey/Brey_2007_Higher-Education.pdf 

Crisostomo, S. (2016, March 19). Comelec Website Hacked. Retrieved from http://www.philstar.com/headlines/2016/03/29/1567196/comelec-website-hacked

Dalipe, J. (2016, October 24). Retrieved from http://www.sunstar.com.ph/cebu/local-news/2016/10/25/bpo-senior-manager-faces-online-libel-case-505555

Reynolds, G. (2010). Principles Of Ethics In Information Technology (Philippine Edition). 

Turculet, M. (2014). Ethical Issues Concerning Online Social Networks. Retrieved from http://www.sciencedirect.com/science/article/pii/S1877042814050307

Toy, M. (2006, May 16). Retrieved from http://www.theage.com.au/news/world/chinese-hightech-hero-a-fake/2006/05/15/1147545263329.html

This course immerses students in the process of building and testing their own digital and board games in order to better understand how we learn from games. We explore the design and use of games in the classroom in addition to research and development issues associated with computer–based (desktop and handheld) and non–computer–based media. In developing their own games, students examine what and how people learn from them (including field testing of products), as well as how games can be implemented in educational settings.