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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 21, 2025.
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.
Last updated at Apr 21, 2025.
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.
Advanced Natural Language Processing
Reading papers in turn to understand and discuss advanced theories and technologies for natural language processing.
Code
Course title
Lecturer
Semester
Period
4810-1103
GIF-CS5003L3
Advanced Natural Language Processing
Yusuke Miyao
Mon 2nd
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Introduction to Near-Term Quantum Computation
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 mitigation techniques to maximize results. The course also introduces how to implement quantum algorithms using open-source framework of quantum computing and real quantum devices with more than 100 qubits. The course is intended to help students understand the potential and limitations of currently available quantum devices.
Code
Course title
Lecturer
Semester
Period
4810-1166
GIF-CS5044L3
Introduction to Near-Term Quantum Computation
KOBAYASHI Yuri
Fri 5th
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Academic Writing in English
This lecture introduces the fundementials of academic writing in English, with both methodology and concrete examples to walk through how to write academic paper.
Code
Course title
Lecturer
Semester
Period
4810-1170
GIF-CS5801L3
Academic Writing in English
Tue 4th
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Practical English Presentation Skill I
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。2024年度以前に入学した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。2025年以後に入学した学生は「実践英語対話表現演習III」を履修すること。
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 Science who enter the department not after 2024. Please enroll in the course "Practical English Presentation Skill III" if you enter the department in the academic year 2025 or after.
Code
Course title
Lecturer
Semester
Period
4810-1171
GIF-CS5802S3
Practical English Presentation Skill I
Suppakitpaisarn Vorapong
Intensive
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Advanced Data Analysis
回帰，分類，次元削減，クラスタリング，異常検出，深層学習などのデータ解析技術の基本的な考え方と数理的基礎，および，先端的なアルゴリズムを，最新のトピックを交えながら解説する．
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We lecture fundamental concepts, mathematical foundations and advanced algorithms of data analysis techniques including regression, classification, dimensionality reduction, clustering, outlier detection, and deep learning.
Code
Course title
Lecturer
Semester
Period
4810-1176
GIF-CS5048L3
Advanced Data Analysis
SUGIYAMA Masashi
Tue 2nd
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Approximation and Online Algorithms with Applications
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 learn their importance in practical point of views. On the other hands, students who are familiar with them are expected to gain more experiences on applying the concepts to practical settings.
本講義では、NP困難、近似アルゴリズム、オンラインアルゴリズムなどアルゴリズムを解析する理論の概要を説明し、機械学習や データベースなど応用分野に適用する事例を挙げる。
アルゴリズム論を勉強したことがない学生には理論的な解析の重要性を実感させ、勉強したことがある学生にはアルゴリズム論の応用を経験させることを目的としている。
Code
Course title
Lecturer
Semester
Period
4810-1183
GIF-CS5054L3
Approximation and Online Algorithms with Applications
Suppakitpaisarn Vorapong
Mon 5th
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Algorithms for Information Security and Privacy
In this class, we discuss algorithms that use for speeding up systems for information security and privacy. Particularly, the class focuses on algorithms for elliptic curve cryptography, one of the most well-known cryptographic system. We also explain ideas behind discrete algorithms that can protect users’ personal information in large-scale database.
本授業には、情報セキュリティ・情報プライバシーを保護するシステムを最速するアルゴリズムについて講義する。特に、セキュリティ技術の代表になっている楕円曲線暗号の実装アルゴリズムについて議論し、巨大データベースに入っている個人情報を保護する離散アルゴリズムを解説する。
Code
Course title
Lecturer
Semester
Period
4810-1184
GIF-CS5055L3
Algorithms for Information Security and Privacy
Suppakitpaisarn Vorapong
Mon 3rd
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Special Lecture on Computer Science III
This course will describe several combinatorial optimization search techniques which are used in artificial intelligence (AI).
Code
Course title
Lecturer
Semester
Period
4810-1206
GIF-CS6075L3
Special Lecture on Computer Science III
CODOGNET Philippe
Thu 4th
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Special Lecture on Computational Science I
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）をOpenMPによってマルチコアプロセッサ上で並列化するのに必要な計算手法，アルゴリズム，プログラミング手法の講義，実習の他，並列前処理手法の最新の研究に関する講義も実施する。プログラミング実習にはスーパーコンピュータシステム（Wisteria/BDEC-01(Odyssey)）を使用する。
OpenMP is the most widely-used way for parallelization on each compute node with multiple cores because multi-threading can be done easily by just inserting "directives". In this class, lectures and exercises for parallelization by multi-threading of the target application (Poisson’s equation solver by FVM (finite-volume method)) on multicore processors using OpenMP are provided, which covers numerical algorithms, and programming methods. Moreover, lectures on recent research topics on parallel preconditioning methods will be also provided. The "Supercomputer System (Wisteria/BDEC-01(Odyssey))" is available for hands-on exercises.
Code
Course title
Lecturer
Semester
Period
4810-1215
GIF-CS6060L3
Special Lecture on Computational Science I
Kengo Nakajima
Wed 1st
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Special Lecture on Computational Science II
並列計算プログラミング技法に関する講義、実習を実施する。並列計算に広く使用されているMPI（Message Passing Interface）, OpenMPを使用したプログラミングを中心に扱う。様々な計算機における最適化技術についても併せて講義，実習を実施する。プログラミング実習には東大情報基盤センターのWisteria/BDEC-01(Odyssey)を使用する。ターゲットとするアプリケーションは有限要素法による一次元及び三次元定常熱伝導解析プログラムであり，背景となる基礎的な理論から，実用的なプログラムの作成法まで，連立一次方程式解法などの周辺技術も含めて講義を実施する。
Lectures and hands-on exercises on parallel programming methods for large-scale scientific computing will be provided. This class focuses of programming using MPI (Message Passing Interface) and OpenMP, which is widely used method for “de facto standard” of parallel programming. Lectures on optimization methods on various types of architectures are also given. Wisteria/BDEC-01(Odyssey) at ITC is available for hands-on exercises. Target applications are 1D/3D codes for steady-state heat transfer by finite-element method (FEM). This class covers wide range of topics related to FEM, such as fundamental mathematical theory, programming method, and solving large-scale linear equation.
Code
Course title
Lecturer
Semester
Period
4810-1216
GIF-CS6061L3
Special Lecture on Computational Science II
Kengo Nakajima
Wed 1st
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