Media Information Processing

Course Information

College	Anan College	Year	2024
Course Title	Media Information Processing
Course Code	1795403	Course Category	Specialized / Elective
Class Format	Lecture	Credits	Academic Credit: 2
Department	Course of Information Engineering	Student Grade	5th
Term	First Semester	Classes per Week	前期:2
Textbook and/or Teaching Materials	Introduction to Practical Image/Sound Processing in Python (Katsunobu Ito et al., Corona Publishing Co., Ltd.)
Instructor	Tanaka Tatsuji,Ota Kengo

Course Objectives

1. Understand and can explain the digitization of image and audio information.
2. Understand and can explain basic techniques of audio processing.
3. Understand and can explain basic techniques of image processing.

Rubric

	Ideal Level	Standard Level	Minimum Level
Achievement 1	Understands the digitization of image and audio information and can explain it systematically.	Understands the digitization of image and audio information and can explain it.	Understands the digitization of image and audio information.
Achievement 2	Understands basic audio processing techniques and can implement them while referring to appropriate materials.	Understands basic audio processing techniques and can explain them.	Understands basic audio processing techniques.
Achievement 3	Understands basic image processing techniques and can implement them while referring to appropriate materials.	Understands basic image processing techniques and can explain them.	Understands basic image processing techniques.

Assigned Department Objectives

学習・教育到達度目標 D-1 （設計・システム系，情報・論理系，材料・バイオ系，力学系を含む工学の基礎となる学問分野について，自主的かつ継続的に学習できる。）

Teaching Method

Outline:

Acquire knowledge about the digitization and processing techniques of representative media information such as image and audio data. Additionally, learn about media information processing techniques using deep learning.

Style:

Notice:

Course Plan

			Theme	Goals
1st Semester
	1st Quarter
		1st	Basics of Image Processing with Python	Understand and can implement the basics of digital image processing.
		2nd	Basics of Image Processing with Python	Understand and can implement the basics of digital image processing.
		3rd	Basics of Image Processing with Python	Understand and can implement the basics of digital image processing.
		4th	Basics of Image Processing with Python	Understand and can implement the basics of digital image processing.
		5th	Applied Image Processing with Python	Understand and can implement the applications of digital image processing.
		6th	Applied Image Processing with Python	Understand and can implement the applications of digital image processing.
		7th	Applied Image Processing with Python	Understand and can implement the applications of digital image processing.
		8th	Digitization of Image Information	Understand and can explain the digitization of image information.
	2nd Quarter
		9th	【Midterm Exam】
		10th	Audio Processing with Python	Understand and can implement the techniques of digital audio processing.
		11th	Audio Processing with Python	Understand and can implement the techniques of digital audio processing.
		12th	Audio Processing with Python	Understand and can implement the techniques of digital audio processing.
		13th	Digitization of Audio Information	Understand and can explain the digitization of audio information.
		14th	Media Processing with Deep Learning	Understand and can implement media processing techniques with deep learning.
		15th	Media Processing with Deep Learning	Understand and can implement media processing techniques with deep learning.
		16th	【Final Exam, Return of Answer Sheets】

Evaluation Method and Weight (%)

	Examination	Presentation	Quiz	Behavior	Portfolio	Other	Total
Subtotal	60	0	0	0	40	0	100
Basic Proficiency	30	0	0	0	20	0	50
Specialized Proficiency	30	0	0	0	20	0	50
Cross Area Proficiency	0	0	0	0	0	0	0