Nagoya University, School of Engineering Lecture information system (SYLLABUS)

Advanced Lectures on Real-World Data Analysis U1(1.0 credits)

Division at courseMaster's Course
Course Type:
Class Format:Lecture
Department Name : common
Starts 1 : 1 Autumn Semester
Lecturer : leading graduate programs  

•Course Purpose
This course introduces various methods of data analysis for the real-world data circulation across various research fields. It also enhances the development of students’ skill in analyzing real-world data.

•Prerequisite Subjects
statistics, signal processing, information processing

•Course Topics
This course deals with the principles of probability statistics, hypothesis testing, signal processing, pattern recognition, machine learning, and so on.

Handouts will be distributed in the class if needed.

•Additional Reading
Handouts will be distributed in the class if needed.

•Grade Assessment
The final grade will be determined by the points of a written exam. To pass, students must earn at least 60 points out of 100. 1 credit is approved via lectures.


•Contacting Faculty
Contact with lecturers.


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