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Information Science and Technology (48)
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Japanese (10)
English (48)
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Course
University-wide Education Program
Faculty・Graduate School
Information Science and Technology (48)
Semester
Period
Day of the week
Language
Japanese (10)
English (48)
Lecturers with
practical experience
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The URLs, account and classroom informations have been removed to prevent the leakage of internal information for online classes.
Last updated at Apr 22, 2024.

Class plans and classrooms are subject to change, so be sure to check UTAS for the latest information.
If you do not have access to the UTAS, please contact your instructor or academic affairs office.
Introduction to Near-Term Quantum Computation
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The goal of this course is to learn how to implement utility-scale applications on a quantum computer. To achieve the goal, the course covers from the basics of quantum information to recent advances of quantum algorithms for noisy quantum devices as well as circuit optimization and error mitigat...
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Code
Course title
Lecturer
Semester
Period
4810-1166
GIF-CS5044L3
Introduction to Near-Term Quantum Computation
Tamiya Onodera
S1 S2
Fri 5th
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Academic Writing in English
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This class will teach you how to plan and do research in Computer Science, as well as how to structure and write a research paper for publication in English-language conference proceedings and journals. In particular, we will look at how planning and performing your research affects how you sho...
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Course title
Lecturer
Semester
Period
4810-1170
GIF-CS5801L3
Academic Writing in English
Whittaker Edward William Daniel
A1 A2
Tue 4th
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Practical English Presentation Skill I
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本講義には、英語で学術的なプレセンテーションのやり方について議論する。コンピュータ科学専攻修士課程入学者が原則的に履修する必要である。 We will discuss how to make an academic presentation during this course. This course is a mandatory course for all master students at Department of Computer Scie...
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Course title
Lecturer
Semester
Period
4810-1171
GIF-CS5802S3
Practical English Presentation Skill I
Suppakitpaisarn Vorapong
S1 S2
Sat
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Approximation and Online Algorithms with Applications
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In this class, we discuss basic concepts in algorithmics such as NP-hardness, approximation algorithms, and online algorithms. Then, we give examples how to apply them to practical research. At the end of this class, students who are not familiar with these theoretical concepts are expected to...
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Course title
Lecturer
Semester
Period
4810-1183
GIF-CS5054L3
Approximation and Online Algorithms with Applications
Suppakitpaisarn Vorapong
S1 S2
Mon 5th
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Network Optimizations
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During this class, we discuss fundamental and state-of-the-art research results on network optimization. The class covers results on sensor networks and social networks. Network design algorithms and efficient algorithms for networks with several million nodes are also discussed during the class....
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Course title
Lecturer
Semester
Period
4810-1185
GIF-CS5056L3
Network Optimizations
Suppakitpaisarn Vorapong
A1 A2
Mon 3rd
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Advanced Custom Computing
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コンピュータシステムの更なる高性能化・効率化のためには、アプリケーションドメインに特化したハードウェアおよびソフトウェアを活用するカスタムコンピューティングが重要である。本講義では、カスタムコンピューティングを行う際に必要となるコンピュータアーキテクチャに関する知識と、高度なアプリケーションを実...
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Semester
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4810-1190
GIF-CS5094L3
Advanced Custom Computing
Takamaeda Shinya
A1 A2
Thu 2nd
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Remote Sensing Image Analysis
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リモートセンシング画像解析の基礎と最新動向を学ぶことを目的とする /Learn the basics and latest trends of remote sensing image analysis
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Semester
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4810-1191
GIF-CS5095L3
Remote Sensing Image Analysis
YOKOYA Naoto
A1 A2
Mon 4th
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Trustworthiness Assurance for Data-Driven AI Software Systems
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過去数十年にわたり、機械学習及び深層学習を基盤としたAIソフトウェアシステムは、多岐にわたる産業領域において顕著な性能向上を達成してきた。今日、これらのデータ駆動型のAIソフトウェアシステムの信頼性の確保は、世界的な緊急課題として、社会的な関心及び期待に応える重要性を増している。本講義では、高品質で...
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Course title
Lecturer
Semester
Period
4810-1197
GIF-CS5101L2
Trustworthiness Assurance for Data-Driven AI Software Systems
A1 A2
Tue 3rd
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Special Lecture on Computer Science III
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This course will provide several combinatorial optimization search techniques which are used in artificial intelligence (AI).
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Lecturer
Semester
Period
4810-1206
GIF-CS6075L3
Special Lecture on Computer Science III
CODOGNET Philippe
A1 A2
Thu 4th
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Special Lecture on Computational Science I
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OpenMPは指示行を挿入するだけで手軽に「マルチスレッド並列化(multi-threading)」ができるため,マルチコアプロセッサ内の並列化に広く使用されている。本講義ではOpenMPによる並列化に関する講義・実習を実施する。本講義では対象アプリケーション(有限体積法(finite-volume method, FVM)によってポアソン方程式...
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Code
Course title
Lecturer
Semester
Period
4810-1215
GIF-CS6060L3
Special Lecture on Computational Science I
Kengo Nakajima
S1 S2
Wed 1st
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