Advanced Experiments

Course Information

College	Toyama College	Year	2022
Course Title	Advanced Experiments
Course Code	0022	Course Category	Specialized / Compulsory
Class Format	Experiment / Practical training	Credits	Academic Credit: 2
Department	Control Information Systems Engineering Course	Student Grade	Adv. 1st
Term	Second Semester	Classes per Week	2
Textbook and/or Teaching Materials
Instructor	Tsukada Akira,Ito Nao,Mizumoto Iwao,Aso Tsukasa,Yoshii Yotsumi

Course Objectives

Through challenges, it is possible to understand technical expertise and evaluation methods for the development of systems. And, it is possible to summarize and publish the acquired technical knowledge.

Rubric

	Ideal Level of Achievement (Very Good)	Standard Level of Achievement (Good)	Unacceptable Level of Achievement (Fail)
Have a design capability to solve the problem.	Utilizing science and technology and information, it is possible to respond to the demands of society with a wide perspective and advanced expertise.	Have specialized technologies that can meet the demands of society.	Do not have technology that meets the demands of society.
Have the ability to perform the PJ.	The team or the person can systematically advance the PJ in the constraint and express the creative system and express it.	The team or the person can proceed with PJ systematically within the limits.	The team or the person cannot proceed systematically with PJ within the limits.
The ability to resolve issues and publish the results of the efforts.	The background and purpose of the problem, including the trends in the relevant areas, can be understood and easily explained to others.	The background and purpose of the problem are almost understood, and it can be explained easily to the others.	Cannot understand the background or purpose of the problem, and cannot explain it easily to others.

Assigned Department Objectives

ディプロマポリシー C-2 （共通の制約条件の中、個人またはチームで計画的にPJを進め、創造的なシステムを実現し表現することができる。）

JABEE C2 （共通の制約条件の中，個人またはチームで計画的にPJを進め，創造的なシステムを実現し表現することができる）

Teaching Method

Outline:

Through the experiments, the expertise of electronics and information technology will be enhanced. We will also enhance our ability to build systems through our tasks.

Style:

Experiments are conducted on 5 themes.

Notice:

The credit approval requires more than 60 points.

Course Plan

			Theme	Goals
2nd Semester
	3rd Quarter
		1st	Deep learning programming 1	To be able to set up a development environment and execute a sample program for deep learning (recognition of handwritten numbers).
		2nd	Deep learning programming 2	Set up a problem that can be solved by deep learning in a team, and create a learning program for it.
		3rd	Deep learning programming 3	Improve the learning program and discuss the results obtained.
		4th	Analysis of data analysis using statistical analysis method 1	The statistical analysis method can be explained.
		5th	Analysis of data analysis using statistical analysis method 2	A statistical analysis method can be used to perform basic data analysis.
		6th	Analysis of data analysis using statistical analysis method 3	The statistical analysis method can be used to analyze the application data.
		7th	Hands-On Experience with IoT Devices 1	An IoT device can be explained.
		8th	Hands-On Experience with IoT Devices 2	You can experiment with the basic features of an IoT device.
	4th Quarter
		9th	Hands-On Experience with IoT Devices 3	You can experiment with the application functionality of an IoT device.
		10th	Phase sensitive amplifier training	The phase sensitive amplifier can be explained.
		11th	Simulation of the simulation of signals buried in the noise	Signal detection in the noise is possible.
		12th	Training of weak signal detection systems	Detection of a weak signal is possible.
		13th	Data collection and analysis exercise of sensing device 1	The sensing device and the data collection can be explained.
		14th	Data collection and analysis exercise of sensing device 2	The experiment of element technology concerning sensing devices and data collection can be carried out.
		15th	Data collection and analysis exercise of sensing device 3	The sensing device and the data collection system can be constructed.
		16th	Occasional date

Evaluation Method and Weight (%)

	Examination	Presentation	Mutual Evaluations between students	Behavior	Portfolio	Other	Total
Subtotal	0	100	0	0	0	0	100
Basic Ability	0	0	0	0	0	0	0
Technical Ability	0	100	0	0	0	0	100
Interdisciplinary Ability	0	0	0	0	0	0	0