Discrete Integrated Circuit Electronics (DICE)
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FUNDAMENTALS of COMPUTING (2019-20) COURSE CODE: 5023 502800CH (Grade 7 for ½ High School Credit) 502900CH (Grade 8 for ½ High School Credit)
EXPLORING COMPUTER SCIENCE NEW NAME: FUNDAMENTALS OF COMPUTING (2019-20) COURSE CODE: 5023 502800CH (grade 7 for ½ high school credit) 502900CH (grade 8 for ½ high school credit) COURSE DESCRIPTION: Fundamentals of Computing is designed to introduce students to the field of computer science through an exploration of engaging and accessible topics. Through creativity and innovation, students will use critical thinking and problem solving skills to implement projects that are relevant to students’ lives. They will create a variety of computing artifacts while collaborating in teams. Students will gain a fundamental understanding of the history and operation of computers, programming, and web design. Students will also be introduced to computing careers and will examine societal and ethical issues of computing. OBJECTIVE: Given the necessary equipment, software, supplies, and facilities, the student will be able to successfully complete the following core standards for courses that grant one unit of credit. RECOMMENDED GRADE LEVELS: 9-12 (Preference 9-10) COURSE CREDIT: 1 unit (120 hours) COMPUTER REQUIREMENTS: One computer per student with Internet access RESOURCES: See attached Resource List A. SAFETY Effective professionals know the academic subject matter, including safety as required for proficiency within their area. They will use this knowledge as needed in their role. The following accountability criteria are considered essential for students in any program of study. 1. Review school safety policies and procedures. 2. Review classroom safety rules and procedures. 3. Review safety procedures for using equipment in the classroom. 4. Identify major causes of work-related accidents in office environments. 5. Demonstrate safety skills in an office/work environment. -
Bernd Schoner, Ph.D
Bernd Schoner, Ph.D. 108 Auburn St. 1 Washington Sq. Vil. Cambridge, MA 02139 New York , NY 10012 berndschoner [at] gmail [dot] com _____________________________________________________________________________________________ EMPLOYMENT THINGMAGIC, A DIVISION OF TRIMBLE NAVIGATION LIMITED 2010 – present Cambridge, Massachusetts. VP Business Development. Leading integration of ThingMagic product within Trimble vertical divisions in engineering, construction, and mobile computing. Managing ThingMagic’s largest OEM accounts. Selling high-Profile technology projects in heavy-civil and vertical construction. THINGMAGIC, INC. 2005 – 2010 Cambridge, Massachusetts. Co-Founder and President. Led corPorate conversion to C-Corporation. Hired senior executives and middle management to scale the comPany to 60 PeoPle. Managed a team of 40 in charge of all technical oPerations, development and manufacturing. Led intellectual property strategy including the establishment of the RFID patent pool and defensive licensing arrangements. Transitioned into business development managing key accounts and worldwide sales. Travelled to more than fifty countries to build an international distribution channel for ThingMagic’s Products. THINGMAGIC, LLC 2000 – 2005 Cambridge, Massachusetts. Co-Founder and Managing Partner. Set-up corporate structure, legal representation, accounting. Led project and customers acquisition. Negotiated high-profile technology licensing deals. Hired executive advisor and CEO. Led transformation from services to product and manufacturing-based -
Top 10 Reasons to Major in Computing
Top 10 Reasons to Major in Computing 1. Computing is part of everything we do! Computing and computer technology are part of just about everything that touches our lives from the cars we drive, to the movies we watch, to the ways businesses and governments deal with us. Understanding different dimensions of computing is part of the necessary skill set for an educated person in the 21st century. Whether you want to be a scientist, develop the latest killer application, or just know what it really means when someone says “the computer made a mistake”, studying computing will provide you with valuable knowledge. 2. Expertise in computing enables you to solve complex, challenging problems. Computing is a discipline that offers rewarding and challenging possibilities for a wide range of people regardless of their range of interests. Computing requires and develops capabilities in solving deep, multidimensional problems requiring imagination and sensitivity to a variety of concerns. 3. Computing enables you to make a positive difference in the world. Computing drives innovation in the sciences (human genome project, AIDS vaccine research, environmental monitoring and protection just to mention a few), and also in engineering, business, entertainment and education. If you want to make a positive difference in the world, study computing. 4. Computing offers many types of lucrative careers. Computing jobs are among the highest paid and have the highest job satisfaction. Computing is very often associated with innovation, and developments in computing tend to drive it. This, in turn, is the key to national competitiveness. The possibilities for future developments are expected to be even greater than they have been in the past. -
Hardware Architecture
Hardware Architecture Components Computing Infrastructure Components Servers Clients LAN & WLAN Internet Connectivity Computation Software Storage Backup Integration is the Key ! Security Data Network Management Computer Today’s Computer Computer Model: Von Neumann Architecture Computer Model Input: keyboard, mouse, scanner, punch cards Processing: CPU executes the computer program Output: monitor, printer, fax machine Storage: hard drive, optical media, diskettes, magnetic tape Von Neumann architecture - Wiki Article (15 min YouTube Video) Components Computer Components Components Computer Components CPU Memory Hard Disk Mother Board CD/DVD Drives Adaptors Power Supply Display Keyboard Mouse Network Interface I/O ports CPU CPU CPU – Central Processing Unit (Microprocessor) consists of three parts: Control Unit • Execute programs/instructions: the machine language • Move data from one memory location to another • Communicate between other parts of a PC Arithmetic Logic Unit • Arithmetic operations: add, subtract, multiply, divide • Logic operations: and, or, xor • Floating point operations: real number manipulation Registers CPU Processor Architecture See How the CPU Works In One Lesson (20 min YouTube Video) CPU CPU CPU speed is influenced by several factors: Chip Manufacturing Technology: nm (2002: 130 nm, 2004: 90nm, 2006: 65 nm, 2008: 45nm, 2010:32nm, Latest is 22nm) Clock speed: Gigahertz (Typical : 2 – 3 GHz, Maximum 5.5 GHz) Front Side Bus: MHz (Typical: 1333MHz , 1666MHz) Word size : 32-bit or 64-bit word sizes Cache: Level 1 (64 KB per core), Level 2 (256 KB per core) caches on die. Now Level 3 (2 MB to 8 MB shared) cache also on die Instruction set size: X86 (CISC), RISC Microarchitecture: CPU Internal Architecture (Ivy Bridge, Haswell) Single Core/Multi Core Multi Threading Hyper Threading vs. -
Open Dissertation Draft Revised Final.Pdf
The Pennsylvania State University The Graduate School ICT AND STEM EDUCATION AT THE COLONIAL BORDER: A POSTCOLONIAL COMPUTING PERSPECTIVE OF INDIGENOUS CULTURAL INTEGRATION INTO ICT AND STEM OUTREACH IN BRITISH COLUMBIA A Dissertation in Information Sciences and Technology by Richard Canevez © 2020 Richard Canevez Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy December 2020 ii The dissertation of Richard Canevez was reviewed and approved by the following: Carleen Maitland Associate Professor of Information Sciences and Technology Dissertation Advisor Chair of Committee Daniel Susser Assistant Professor of Information Sciences and Technology and Philosophy Lynette (Kvasny) Yarger Associate Professor of Information Sciences and Technology Craig Campbell Assistant Teaching Professor of Education (Lifelong Learning and Adult Education) Mary Beth Rosson Professor of Information Sciences and Technology Director of Graduate Programs iii ABSTRACT Information and communication technologies (ICTs) have achieved a global reach, particularly in social groups within the ‘Global North,’ such as those within the province of British Columbia (BC), Canada. It has produced the need for a computing workforce, and increasingly, diversity is becoming an integral aspect of that workforce. Today, educational outreach programs with ICT components that are extending education to Indigenous communities in BC are charting a new direction in crossing the cultural barrier in education by tailoring their curricula to distinct Indigenous cultures, commonly within broader science, technology, engineering, and mathematics (STEM) initiatives. These efforts require examination, as they integrate Indigenous cultural material and guidance into what has been a largely Euro-Western-centric domain of education. Postcolonial computing theory provides a lens through which this integration can be investigated, connecting technological development and education disciplines within the parallel goals of cross-cultural, cross-colonial humanitarian development. -
From Ethnomathematics to Ethnocomputing
1 Bill Babbitt, Dan Lyles, and Ron Eglash. “From Ethnomathematics to Ethnocomputing: indigenous algorithms in traditional context and contemporary simulation.” 205-220 in Alternative forms of knowing in mathematics: Celebrations of Diversity of Mathematical Practices, ed Swapna Mukhopadhyay and Wolff- Michael Roth, Rotterdam: Sense Publishers 2012. From Ethnomathematics to Ethnocomputing: indigenous algorithms in traditional context and contemporary simulation 1. Introduction Ethnomathematics faces two challenges: first, it must investigate the mathematical ideas in cultural practices that are often assumed to be unrelated to math. Second, even if we are successful in finding this previously unrecognized mathematics, applying this to children’s education may be difficult. In this essay, we will describe the use of computational media to help address both of these challenges. We refer to this approach as “ethnocomputing.” As noted by Rosa and Orey (2010), modeling is an essential tool for ethnomathematics. But when we create a model for a cultural artifact or practice, it is hard to know if we are capturing the right aspects; whether the model is accurately reflecting the mathematical ideas or practices of the artisan who made it, or imposing mathematical content external to the indigenous cognitive repertoire. If I find a village in which there is a chain hanging from posts, I can model that chain as a catenary curve. But I cannot attribute the knowledge of the catenary equation to the people who live in the village, just on the basis of that chain. Computational models are useful not only because they can simulate patterns, but also because they can provide insight into this crucial question of epistemological status. -
Efficient Processing of Deep Neural Networks
Efficient Processing of Deep Neural Networks Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel Emer Massachusetts Institute of Technology Reference: V. Sze, Y.-H.Chen, T.-J. Yang, J. S. Emer, ”Efficient Processing of Deep Neural Networks,” Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, 2020 For book updates, sign up for mailing list at http://mailman.mit.edu/mailman/listinfo/eems-news June 15, 2020 Abstract This book provides a structured treatment of the key principles and techniques for enabling efficient process- ing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the- art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas. 1 Contents Preface 9 I Understanding Deep Neural Networks 13 1 Introduction 14 1.1 Background on Deep Neural Networks . -
Quantum Computing with Molecules
Reproduced with permission. Copyright (c) 1998 by Scientific American, Inc. All rights reserved. Quantum Computing with Molecules By taking advantage of nuclear magnetic resonance, scientists can coax the molecules in some ordinary liquids to serve as an extraordinary type of computer by Neil Gershenfeld and Isaac L. Chuang ........... SUBTOPICS: Action at a Distance Spin Doctoring Two Things at Once ILLUSTRATIONS: Desktop Quantum Computer Factoring a number with 400 digits--a numerical feat needed to break some security codes--would take even the fastest supercomputer in existence billions of Magnetic Nucleus years. But a newly conceived type of computer, one that exploits quantum- Controlled-NOT mechanical interactions, might complete the task in a year or so, thereby defeating Logic Gate many of the most sophisticated encryption schemes in use. Sensitive data are safe Cracking A for the time being, because no one has been able to build a practical quantum Combination computer. But researchers have now demonstrated the feasibility of this approach. Such a computer would look nothing like the machine that sits on your desk; surprisingly, it might resemble the cup of coffee at its side. FURTHER READING We and several other research groups believe quantum computers based on the molecules in a liquid might one day overcome many of the limits facing RELATED LINKS conventional computers. Roadblocks to improving conventional computers will ultimately arise from the fundamental physical bounds to miniaturization (for example, because transistors and electrical wiring cannot be made slimmer than the width of an atom). Or they may come about for practical reasons--most likely because the facilities for fabricating still more powerful microchips will become prohibitively expensive. -
Cloud Computing and E-Commerce in Small and Medium Enterprises (SME’S): the Benefits, Challenges
International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Cloud Computing and E-commerce in Small and Medium Enterprises (SME’s): the Benefits, Challenges Samer Jamal Abdulkader1, Abdallah Mohammad Abualkishik2 1, 2 Universiti Tenaga Nasional, College of Graduate Studies, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia Abstract: Nowadays the term of cloud computing is become widespread. Cloud computing can solve many problems that faced by Small and medium enterprises (SME’s) in term of cost-effectiveness, security-effectiveness, availability and IT-resources (hardware, software and services). E-commerce in Small and medium enterprises (SME’s) is need to serve the customers a good services to satisfy their customers and give them good profits. These enterprises faced many issues and challenges in their business like lake of resources, security and high implementation cost and so on. This paper illustrate the literature review of the benefits can be serve by cloud computing and the issues and challenges that E-commerce Small and medium enterprises (SME’s) faced, and how cloud computing can solve these issues. This paper also presents the methodology that will be used to gather data to see how far the cloud computing has influenced the E-commerce small and medium enterprises in Jordan. Keywords: Cloud computing, E-commerce, SME’s. 1. Introduction applications, and services) that can be rapidly provisioned and released with minimal management effort or service Information technology (IT) is playing an important role in provider interaction.” [7]. From the definition of NIST there the business work way, like how to create the products, are four main services classified as cloud services which are; services to the enterprise customers [1]. -
203046 Omslag
SUSTAINABILITY AT THE SPEED OF AT LIGHT SUSTAINABILITY Over the last few years, information technology’s This report is a contribution from WWF to the impact on society has become a hot topic. It is clear discussion about ICT in tomorrow’s society. We have that over the next couple of years information and asked some of the best experts in the world to cont- communication technologies (ICT) will affect and ribute with a chapter in which they describe the role reshape most parts of our society. ICT will come to of ICT for Sustainable Development in their respec- radically influence the global economy, and, to an tive fields. The report is an attempt to bridge the gap unknown degree, our culture and the way we percei- between the ICT experts and the policy makers in ve the world, our relationship to it, and our actions. politics and business. It is WWFs firm belief that Although ICT will have an enormous effect these groups, together with the rest of society, need on tomorrow’s society, surprisingly little research to talk more frequently and openly to each other if has been conducted regarding its future environ- we want to create a sustainable framework for the arlstad, Sweden mental consequences. Most of the work that has ICT-development. been done has reached one of two opposing con- clusions: either ICT will bring only good things, from solutions to world hunger and the elimination of all transportation problems to a revitalised democra- cy; or it will bring nothing but problems, accelera- ting resource consumption, introducing new toxic materials and resulting in greater inequity by intro- ducing a digital divide that will worsen the already unequal distribution of wealth and influence. -
Architectural Adaptation for Application-Specific Locality
Architectural Adaptation for Application-Specific Locality Optimizations y z Xingbin Zhang Ali Dasdan Martin Schulz Rajesh K. Gupta Andrew A. Chien Department of Computer Science yInstitut f¨ur Informatik University of Illinois at Urbana-Champaign Technische Universit¨at M¨unchen g fzhang,dasdan,achien @cs.uiuc.edu [email protected] zInformation and Computer Science, University of California at Irvine [email protected] Abstract without repartitioning hardware and software functionality and reimplementing the co-processing hardware. This re- We propose a machine architecture that integrates pro- targetability problem is an obstacle toward exploiting pro- grammable logic into key components of the system with grammable logic for general purpose computing. the goal of customizing architectural mechanisms and poli- cies to match an application. This approach presents We propose a machine architecture that integrates pro- an improvement over traditional approach of exploiting grammable logic into key components of the system with programmable logic as a separate co-processor by pre- the goal of customizing architectural mechanisms and poli- serving machine usability through software and over tra- cies to match an application. We base our design on the ditional computer architecture by providing application- premise that communication is already critical and getting specific hardware assists. We present two case studies of increasingly so [17], and flexible interconnects can be used architectural customization to enhance latency tolerance to replace static wires at competitive performance [6, 9, 20]. and efficiently utilize network bisection on multiproces- Our approach presents an improvement over co-processing sors for sparse matrix computations. We demonstrate that by preserving machine usability through software and over application-specific hardware assists and policies can pro- traditional computer architecture by providing application- vide substantial improvements in performance on a per ap- specific hardware assists. -
Development of a Predictable Hardware Architecture Template and Integration Into an Automated System Design Flow
Development Secure of Reprogramming a Predictable Hardware of Architecturea Network Template Connected and Device Integration into an Automated System Design Flow Securing programmable logic controllers MARCUS MIKULCAK MUSSIE TESFAYE KTH Information and Communication Technology Masters’ Degree Project Second level, 30.0 HEC Stockholm, Sweden June 2013 TRITA-ICT-EX-2013:138Degree project in Communication Systems Second level, 30.0 HEC Stockholm, Sweden Secure Reprogramming of a Network Connected Device KTH ROYAL INSTITUTE OF TECHNOLOGY Securing programmable logic controllers SCHOOL OF INFORMATION AND COMMUNICATION TECHNOLOGY ELECTRONIC SYSTEMS MUSSIE TESFAYE Development of a Predictable Hardware Architecture TemplateKTH Information and Communication Technology and Integration into an Automated System Design Flow Master of Science Thesis in System-on-Chip Design Stockholm, June 2013 TRITA-ICT-EX-2013:138 Author: Examiner: Marcus Mikulcak Assoc. Prof. Ingo Sander Supervisor: Seyed Hosein Attarzadeh Niaki Degree project in Communication Systems Second level, 30.0 HEC Stockholm, Sweden Abstract The requirements of safety-critical real-time embedded systems pose unique challenges on their design process which cannot be fulfilled with traditional development methods. To ensure their correct timing and functionality, it has been suggested to move the design process to a higher abstraction level, which opens the possibility to utilize automated correct-by-design development flows from a functional specification of the system down to the level of Multiprocessor Systems-on-Chip. ForSyDe, an embedded system design methodology, presents a flow of this kind by basing system development on the theory of Models of Computation and side-effect-free processes, making it possible to separate the timing analysis of computation and communication of process networks.