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subjects Advanced Data Science Exercise（eHELP） number of credits 1 semesters Second semester teaching staff Ha...
Harada Koji Toyohashi University of Technology CITE
subjectsAdvanced Data Science Exercise（eHELP）number of credits1semestersSecond semesterteaching staffHarada Kojiclass timeunspecifieddistance education formAsynchronous WBL type
Please refer to the Japanese page for details.
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subjects Physics 2 number of credits 1.5 semesters Second semester teaching staff Yatsui Takashi class time un...
Yatsui Takashi Toyohashi University of Technology Department of Electrical and Electronic Information Engineering
subjectsPhysics 2number of credits1.5semestersSecond semesterteaching staffYatsui Takashiclass timeunspecifieddistance education formAsynchronous WBL type
Please refer to the Japanese page for details.
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subjects Basics of Modern Control Engineering number of credits 1 semesters First semester teaching staff Taka...
Takagi Kentaro Toyohashi University of Technology Department of Mechanical Engineering
subjectsBasics of Modern Control Engineeringnumber of credits1semestersFirst semesterteaching staffTakagi Kentaroclass timeunspecifieddistance education formAsynchronous WBL type
Please refer to the Japanese page for details.
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subjects Basic English Grammar number of credits 1.0 semesters Second semester teaching staff Levin David Mich...
Levin David Michael Toyohashi University of Technology Institute of Liberal Arts and Science
subjectsBasic English Grammarnumber of credits1.0semestersSecond semesterteaching staffLevin David Michaelclass timeunspecifieddistance education formAsynchronous WBL type
Please refer to the Japanese page for details.
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subjects Physics 1 number of credits 3.0 semesters second semester teaching staff Okada Hiroshi class time uns...
Okada Hiroshi Toyohashi University of Technology Institute of Liberal Arts and Science
subjectsPhysics 1number of credits3.0semesterssecond semesterteaching staffOkada Hiroshiclass timeunspecifieddistance education formAsynchronous WBL type
Please refer to the Japanese page for details.
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subjects Basic Image Processing number of credits 1.0 semesters Second semester teaching staff Sugaya Yasuyuki...
Sugaya Yasuyuki Toyohashi University of Technology Department of Computer Science and Engineering
subjectsBasic Image Processingnumber of credits1.0semestersSecond semesterteaching staffSugaya Yasuyukiclass timeunspecifieddistance education formAsynchronous WBL type
Please refer to the Japanese page for details.
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subjects Life Science and Chemistry number of credits 1.0 semesters First semester teaching staff Eki Toshihik...
Eki Toshihiko Toyohashi University of Technology Department of Applied chemistry and Life Science
subjectsLife Science and Chemistrynumber of credits1.0semestersFirst semesterteaching staffEki Toshihikoclass timeunspecifieddistance education formAsynchronous WBL type
Please refer to the Japanese page for details.
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subjects Data Science Exercise number of credits 1.0 semesters First semester teaching staff Koji Harada class...
Koji Harada Toyohashi University of Technology CITE
subjectsData Science Exercisenumber of credits1.0semestersFirst semesterteaching staffKoji Haradaclass timeunspecifieddistance education formAsynchronous WBL type
Please refer to the Japanese page for details.
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Learn the basics of machine learning. To be able to learn basic machine learning concepts, mathematics, Python...
Harada Koji Toyohashi University of Technology Center for IT-based Education
Learn the basics of machine learning. To be able to learn basic machine learning concepts, mathematics, Python, libraries often used for machine learning, etc., which are necessary for learning machine learning, and implement machine learning algorithms.
機械学習の基礎的な内容を学ぶ。機械学習を学ぶ上で必要となる、基礎的な機械学習の考え方・数学・Python・機械学習によく用いられるライブラリなどについて学び、機械学習アルゴリズムを実装できること。
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Data science is an important approach to tackle various social issues based on data. In this exercise, you wil...
Harada Koji Toyohashi University of Technology Center for IT-based Education
Data science is an important approach to tackle various social issues based on data. In this exercise, you will learn about deep learning as a data science tool using e-Learning teaching materials. The goal is to acquire a basic level at which deep learning can be used for research and business.
データサイエンスはデータを元に社会の様々な課題に取り組むための重要なアプローチである。本演習授業は、e-Learning教材を用いて、データサイエンスのツールとしてのディープラーニングに関して学ぶ。ディープラーニングを研究やビジネスに活用できる基礎的なレベルまでを身につけることを目標とする。
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(On-demand) Week 1 Introduction(On-demand) Weeks 2-6 Machine learning mathematics(On-demand) Weeks 7-9 Python ...
Harada Koji Toyohashi University of Technology Center for IT-based Education
(On-demand) Week 1 Introduction(On-demand) Weeks 2-6 Machine learning mathematics(On-demand) Weeks 7-9 Python basics(On-demand) Week 10 Numerical calculation(On-demand) Week 11 Data processing and visualization(On-demand) Weeks 12-15 Implementation of machine learningDue to changes in the activity standards for preventing the spread of the new coronavirus infection at our university, the content of classes and the evaluation method for grades may change.If the lesson implementation is changed, we will notify you from Google Classroom and the academic affairs information system.
