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3D Printing, Computer Aided Design (CAD) and G-Code Basics
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Students learn how 3D printing, also known as additive manufacturing, is revolutionizing the manufacturing process. First, students learn what considerations to make in the engineering design process to print an object with quality and to scale. Students learn the basic principles of how a computer-aided design (CAD) model is converted to a series of data points then turned into a program that operates the 3D printer. The activity takes students through a step-by-step process on how a computer can control a manufacturing process through defined data points. Within this activity, students also learn how to program using basic G-code to create a wireframe 3D shapes that can be read by a 3D printer or computer numerical control (CNC) machine.

Subject:
Applied Science
Computer Science
Engineering
Geometry
Mathematics
Measurement and Data
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
Activities
Author:
Matthew Jourden
Date Added:
05/04/2019
Advanced Algorithms, Fall 2008
Conditional Remix & Share Permitted
CC BY-NC-SA
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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:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Goemans, Michel
Date Added:
01/01/2008
Advanced Circuit Techniques, Spring 2002
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CC BY-NC-SA
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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:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Roberge, Jim
Date Added:
01/01/2002
Advanced Java Lecture Slides
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CC BY-SA
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Lecture slides and assignments for a second semester course in Java. Topics include: wrapper classes, String methods, advanced classes methods, inheritance, file input/output, exceptions and recursion.

Subject:
Computer Science
Material Type:
Lecture Notes
Author:
Ibtsam Mahfouz
Date Added:
12/28/2021
Advanced Topics in Cryptography, Spring 2003
Conditional Remix & Share Permitted
CC BY-NC-SA
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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:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Micali, Silvio
Date Added:
01/01/2003
Adventures in Advanced Symbolic Programming, Spring 2009
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CC BY-NC-SA
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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:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Sussman, Gerald
Date Added:
01/01/2009
African American History and Culture
Unrestricted Use
CC BY
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African American History and Culture contains 10 modules starting with African Origins - History and Captivity and continuing through Reconstruction. Openly-licensed course materials developed for the Open Educational Resources (OER) Degree Initiative, led by Achieving the Dream https://courses.lumenlearning.com/catalog/achievingthedream.

Subject:
Applied Science
Computer Science
History
U.S. History
Material Type:
Textbook
Provider:
Lumen Learning
Author:
Florida State College At Jacksonville
Date Added:
07/13/2021
Agent Based Modeling of Complex Adaptive Systems (Advanced)
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CC BY-NC-SA
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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.

Subject:
Applied Science
Computer Science
Material Type:
Full Course
Provider:
Delft University of Technology
Provider Set:
Delft University OpenCourseWare
Author:
Dr. Ir. I. Nikolic
Date Added:
03/03/2016
Algorithms by Jeff Erickson
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CC BY-NC-SA
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This web page contains a free electronic version of my self-published textbook Algorithms, along with other lecture notes I have written for various theoretical computer science classes at the University of Illinois, Urbana-Champaign

Subject:
Applied Science
Computer Science
Material Type:
Reading
Provider:
University of Illinois at Urbana-Champaign
Author:
Jeff Erickson
Date Added:
07/07/2021
Algorithms for Computer Animation, Fall 2002
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CC BY-NC-SA
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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:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Popovic, Jovan
Date Added:
01/01/2002
Ambient Intelligence, Spring 2005
Conditional Remix & Share Permitted
CC BY-NC-SA
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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:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Maes, Patricia
Date Added:
01/01/2005
Android Acceleration Application
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Educational Use
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In the first of two sequential lessons, students create mobile apps that collect data from an Android device's accelerometer and then store that data to a database. This lesson provides practice with MIT's App Inventor software and culminates with students writing their own apps for measuring acceleration. In the second lesson, students are given an app for an Android device, which measures acceleration. They investigate acceleration by collecting acceleration vs. time data using the accelerometer of a sliding Android device. Then they use the data to create velocity vs. time graphs and approximate the maximum velocity of the device.

Subject:
Applied Science
Computer Science
Engineering
Material Type:
Full Course
Unit of Study
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Brian Sandall
Scott Burns
Date Added:
09/18/2014
Aprendiendo a Programar en Python con mi Computador: Primeros pasos rumbo a cómputos de gran escala en las Ciencias e Ingenierías
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CC BY-SA
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Este libro está dirigido, principalmente, a Estudiantes y Docentes que quieren aprender a programar como forma de fortalecer sus capacidades cognoscitivas y así obtener un beneficio adicional de su computador para lograr un mejor provecho de sus estudios. Dada la orientación del libro respecto a programar para resolver problemas asociados a las Ciencias e Ingenierías, el requisito mínimo de matemáticas que hemos elegido para presentar el contenido del mismo se cubre, normalmente, en el tercer año del bachillerato. No obstante, el requisito no es obligatorio para leer el libro en su totalidad y adquirir los conocimientos de programación obviando el contenido matemático.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
Project LATIn: The Latin American Open Textbook Initiative
Author:
Héctor Fernández
Juan Carlos Ruiz
Sergio Rojas
Date Added:
07/07/2021
Artificial Intelligence, Fall 2010
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CC BY-NC-SA
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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:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Winston, Patrick Henry
Date Added:
01/01/2010
Automata, Computability, and Complexity, Spring 2011
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CC BY-NC-SA
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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:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Aaronson, Scott
Date Added:
01/01/2011
Automated Software Testing: Advanced Skills for Java Developers
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CC BY-NC-SA
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Software testing gets a bad rap for being difficult, time-consuming, redundant, and above all – boring. But in fact, it is a proven way to ensure that your software will work flawlessly and can meet release schedules.

In a two-course series, we will teach you automated software testing in an inspiring way. We will show you that testing is not as daunting a task as you might think, and how automated testing will make you a better developer who programs excellent software.

This second course builds upon the first course’s material. It covers more advanced tools and techniques and their applications, now utilizing more than just JUnit. Key topics include Test-Driven Development, state-based and web testing, combinatorial testing, mutation testing, static analysis tools, and property-based testing.

This is a highly practical course. Throughout the lessons, you will test various programs by means of different techniques. By the end, you will be able to choose the best testing strategies for different projects.

Subject:
Applied Science
Computer Science
Material Type:
Full Course
Provider:
Delft University of Technology
Provider Set:
Delft University OpenCourseWare
Author:
Dr. M. Aniche
Prof.dr. A. Van Deursen
Date Added:
07/14/2021
Automate the Boring Stuff
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CC BY-NC-SA
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If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?

In Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand-no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to:

Search for text in a file or across multiple files
Create, update, move, and rename files and folders
Search the Web and download online content
Update and format data in Excel spreadsheets of any size
Split, merge, watermark, and encrypt PDFs
Send reminder emails and text notifications
Fill out online forms

Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.

Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Author:
Al Sweigert
Date Added:
07/07/2021
Automatic Speech Recognition, Spring 2003
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CC BY-NC-SA
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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:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Glass, James Robert
Date Added:
01/01/2003
Beginning Excel 2019
Unrestricted Use
CC BY
Rating
0.0 stars

This Beginning Excel textbook is intended for use in a one-term introductory spreadsheet course for all majors taught at two-year colleges. The basics of Excel, as they apply to the professional workplace, are introduced, including spreadsheet design, data entry, formulas, functions, charts, tables, and multi-sheet use. This textbook includes instructions for Excel for Mac also.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
OpenOregon
Author:
Art Schneider
Barbara Lave
Diane Shingledecker
Hallie Puncochar
Julie Romey
Mary Schatz
Noreen Brown
Date Added:
07/07/2021