Scientific Measurement

Numbering Code U-ENG25 25009 LJ71 Year/Term 2021 ・ First semester
Number of Credits 2 Course Type Lecture
Target Year Target Student
Language Japanese Day/Period Fri.3
Instructor name TSUCHIYA TOSHIYUKI (Graduate School of Engineering Professor)
YOKOKAWA RYUUJI (Graduate School of Engineering Professor)
KINOSHITA KATSUYUKI (Graduate School of Energy Science Associate Professor)
MIYAKE MASAO (Graduate School of Energy Science Associate Professor)
Outline and Purpose of the Course Basics of scientific insturmentaion is covered.
Course Goals Understanding of the basics of scientific instrumentation in engineering physics.
Schedule and Contents Guidance,2times,Guidance on how this class is operated, and how to use computing facility for this class. Basic knowledge on the role of IDS in network security and how machine learning can help the intrusion detection.
Intrusion Detection by Signature-Based IDS,5times,Learn the mechanism of intrusion detection by signature-based IDS by studying open source signature-based IDS and attacks, such as correspondence between alarms issued from IDS and communications, and adding signatures to detect attacks.
Intrusion Detection by Machine Learning,7times,Learn the method of classifying normal and malicious traffic by machine learning algorithms and public dataset for benchmarking intrusion detection performance.
Presentation,1time,Based on the exercise, students presents their methods of intrusion detection using machine learning, and discuss it with other students and instructors.
Evaluation Methods and Policy Examination. Reports are considered also.
Course Requirements None
Study outside of Class (preparation and review) NA
Textbooks Textbooks/References 計測工学, 小寺秀俊、神野郁夫、鈴木亮輔、田中功、冨井洋一、中部主敬、箕島弘二、横小路泰義, (朝倉書店), ISBN:9784254201598
References, etc. NA
Courses delivered by Instructors with Practical Work Experience 分類:

A course with practical content delivered by instructors with practical work experience
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