2758 件ヒット (0.015秒)：
This class is given using Google Classroom (class code: m57xxiq)
Computer architecture and IC technology will be lectured to understand modern computer systems better. The lecture includes
・ Logic design of ALU, memory hierarchy composed of SRAM, DRAM, NAND Flash, and HDD, and control units with hard-wired logic and microprogramming.
・Structure of computer systems using processors, memories, and input/output devices as building blocks.
・High-performance computing mechanisms such as pipelining and parallel processing.
・Issues and tradeoffs involved in the design of computer system architecture for the design of instruction sets.
In addition, research topics on state-of-the-art LSI technology will be also presented in the lecture.
Google Classroomのクラスコードは工学部Webページにて確認すること。
学部シラバス・時間割(https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html)
コンピュータの構造と機能についての基礎知識の修得を目的とする．コンピュータの歴史を踏まえ，現在のコンピュータと今後の発展について講義する．コンピュータの概念を理解し有効利用する能力を養うことをねらう．
The class code for Google Classroom can be found on the Web site of
the School of Engineering:
https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html (JP Only)
The objective of this course is to acquire basic knowledge about the structure and functions of computers. Starting from the history of computers, the mechanisms of how they work will be explained and their future will be discussed. The goal is to help students understand the concept of computers and develop the ability to use computers effectively.
This class will be managed by Google classroom, whose class code is xnt2pve, and given in-person in Room 213 of Mechanical Engineering building. Sometime, this class will be also delivered in a real-time on-line fashion. Please check the google classroom before attending the class on every Monday and Thursday, at 1:00pm (until 2:30).
１．Class subject(目的)
As the learning goal, students have acquired the knowledge of circuit design and organization of modern computer systems.
２．Object and summary of class(概要)
After the quick review of computer systems development in the history, the course gives the mathematical foundation for computer system design. Based on the mathematical foundation, the design methodology of basic circuits such as combinational circuits and sequential circuits is given. And then, the course describes how a computer system is constructed by using several basic combinational and sequential circuits, and discusses its functionality to carry out arithmetic and logic operations. In addition, the format of a machine language to direct operations to the computer system and its interpretation to generates control signals will be presented.
３．Goal of study(達成目標等)
In this course, students should be able to:
(1) know the concept of today's computers based on the history of computers development,
(2) learn data representation for computers and the mathematical foundation of computer arithmetic, and
(3) understand the concrete structure and functionality of modern computer systems through their basic components of arithmetic unit, memory and control unit as building blocks in terms of hardware and software.
Google Classroomのクラスコードは工学部Webページにて確認すること。
学部シラバス・時間割(https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html)
１．目的：計算機の構造と機能についての基礎知識の修得を目的とする。
２．概要：計算機の歴史を踏まえ、現在の計算機の内容を説明し、今後の発展について述べる。
３．達成目標等：計算機の概念を理解させ、計算機の有効利用を行う能力を養わせる。
Google Classroom class code: gme6p5e
The class code for Google Classroom can be found on the Web site of
the School of Engineering:
https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html (JP Only)
The objective of this course is to acquire basic knowledge about the structure and functions of computers. Starting from the history of computers, the mechanisms of how they work will be explained and their future will be discussed. The goal is to help students understand the concept of computers and develop the ability to use computers effectively.
Google Classroomのクラスコードは工学部Webページにて確認すること。
学部シラバス・時間割(https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html)
１．目的
ディジタルコンピューティングシステムの構成要素，レジスタトランスファ論理に基づく計算機の論理設計法の習得により，VLSIプロセッサの構成原理の基礎を理解する．
２．概要
ディジタルコンピューティングシステムの構成要素である，組合せ回路，フリップフロップ，レジスタ，カウンタ，メモリ，順序回路，演算回路などの構成法について学習する．さらに，これらを構成要素とした，レジスタトランスファ論理に基づく計算機の基礎的設計法を習得する．
３．達成目標等
簡単な計算機を設計できる実力をつけることが達成目標である．このためには，組合せ回路，レジスタ，順序回路及び演算回路などのモジュールの設計，レジスタトランスファ論理による計算機設計手法などを十分理解すること．
The class code for Google Classroom can be found on the Web site of
the School of Engineering:
https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html (JP Only)
1. Objective:
Study building blocks of digital computing system and logic design of digital computer based on register-transfer logic. Through this study, you can understand an elementary design philosophy of VLSI processors.
2. Summary:
Learn basic building blocks of digital computing system such as combinational circuits, flip-flops, registers, counters, memories, sequential circuits, and arithmetic circuits. Also, study a basic design methodology of digital computer based on register-transfer logic, in combining with the above building blocks.
3. Goal:
The goal of this course is to acquire the skills of designing a simple digital computer. In order to reach this goal, deepen understanding design techniques of basic modules such as combinational circuits, registers, sequential circuits and arithmetic circuits, and design methodologies of digital computer based on register-transfer logic.
建築とITコミュニケーションを統合的なひとつのデザインの問題として考える。
オフィス、学校、図書館などの建築空間の多くは、その内部で情報の授受を行うことが主要な役割であった。しかし、近年の情報技術の革新によって、建築空間と情報の関係は大きく変化した。これからの空間と情報のデザインを考えていくためには、両者の相互作用を根本的に見直す必要がある。両者は別々の分野ではなく、そのデザインにあたっては総合的に検討されなければならない。
この講義では、テクノロジーのみならず、社会学、芸術、哲学、認知科学などの分野にも視野を広げ、空間と情報にかかわる諸理論と事例を展望する。具体的には、現代における様々なITコミュニケーションデザインについての事例やそれを支える技術について解説し、ユビキタスコンピューティング社会において、建築や都市の空間がどのように影響を受け、変化し、その可能性を広げうるのかについて論じる。
情報と空間とが融合する時代に必要なデザイン能力開発の基礎作りを目的とする。さらに、設計および建築生産の情報化が高度に進展している都市・建築設計の分野において必要な知識を得て、また高度なコミュニケーション能力の習得に必要な基礎的理論を習得する。
Google Hangouts Meet または ZOOM を使用する。接続先 URL は Google Classroom で通知する。
Google Classroomのクラスコードは工学研究科Webページ
https://www.eng.tohoku.ac.jp/edu/syllabus-g.html
（大学院シラバス・時間割・履修登録）にて確認すること。
Concerning about architecture, information, technology and communication as an integrated matter of design.
Most of architectural space like office, school and library were used to carry out the exchange of information mainly. However, the relation between architectural space and information has changed significantly because of the innovation of information technology in recent years. It is necessary to review the interaction of both fundamentally to consider about design of space and information in the future. Design about space and information needs to be considered not separately but comprehensively.
We will take a perspective through theories and case studies of space and information designs in this lecture by enlarging the field of vision in not only the technology, but also the fields such as sociology, art, philosophy, and cognitive science. In particular, showing about various IT communication designs in these days with technologies supporting them, and discuss how they had an influence on architectural and urban space and changed and spread out their possibility in the ubiquitous computing society.
The purpose of this lecture is making a foundation of ability for design development in the times when information and space are fused. In addition, we get knowledge and basic theories of communication in the field of urban and architectural design.
Use Google Hangouts Meet or ZOOM. The URL to connect to is notified in Google Classroom.
The class code for Google Classroom can be found on the Web site of the School of Engineering:
https://www.eng.tohoku.ac.jp/english/academics/master.html (under "Timetable & Course Description")
大学院シラバス・時間割・履修登録(https://www.eng.tohoku.ac.jp/edu/syllabus-g.html)
ニューロモルフィックデバイス工学
This class is given using Google Classroom. (class code: cg3zovd)
脳では従来のノイマン型コンピュータよりも効率的で高度な情報処理が行われている。そこで現在のコンピュータの限界を超える情報処理システムとしての観点から脳・神経システムに関して講述する。神経系の基本素子としてのニューロンの構造と機能に関して詳細に学んだ後、脳・神経の構造と機能を模倣・利用したデバイス、およびシステム集積に必要な概念やテクノロジを学ぶ。
Timetable & Course Description(https://www.eng.tohoku.ac.jp/english/academics/master.html)
NEUROMORPHIC DEVICE ENGINEERING
This class is given using Google Classroom. (class code: cg3zovd)
Compared to conventional Neumann-type computing, high-performance and highly efficient signal processing is performed in the human brain. In this course, we'll review the brain and nervous systems from the point of view of signal processing systems beyond the present computing. The students will be able to:
・Understand the detailed structures and functions of neurons as a basic neural element.
・Learn about neuromorphic devices and system integration concepts/technology.