Numbering Code	G-INF00 58045 LE13	Year/Term	2022 ・ Second semester
Number of Credits	2	Course Type	Lecture
Target Year		Target Student
Language	English	Day/Period	Fri.2
Instructor name	CHU, Chenhui (Graduate School of Informatics Program-Specific Associate Professor) Jesper Jansson (Graduate School of Informatics Program-Specific Associate Professor) LIN, Donghui (Graduate School of Informatics Program-Specific Associate Professor) EVEN，Jani Juhani luc (Graduate School of Informatics Program-Specific Senior Lecturer) LI，Douglas (Graduate School of Informatics Program-Specific Senior Lecturer) KAWAHARA TATSUYA (Graduate School of Informatics Professor)
Outline and Purpose of the Course	The course covers topics of many disciplines in the departments of the　school from mathematical theory to application areas. It provides an introduction and state-of-the-art in each topic.
Course Goals	to get wide perspectives in the disciplines of informatics.
Schedule and Contents	Machine Translation: MT (Prof. Chenhui Chu) 1. Introduction of Machine Translation 2. Domain Adaptation for Neural Machine Translation 3. Multilingual Neural Machine Translation Advanced graph algorithms (Prof. Jesper Jansson) 1. Graph orientation 2. Consensus trees 3. Phylogenetic networks Human-Robot Interaction: HRI (Prof. Jani Even) 1. Human Robot Interaction (HRI) a multidisciplinary field 2. Mobile Robots and Spatial Awareness 3. Perception-oriented HRI Internet of Things: IoT (Prof. Donghui Lin) 1: Introduction to Internet of Things 2: Protocols, Technologies, and Applications in Internet of Things 3: Cloud Computing and Edge Computing for Internet of Things Data Mining (Prof. Li Douglas) 1: Basic data mining techniques 2: State of the art data mining algorithms 3: State of the art data mining applications (guest talk by Craig C. Douglas)
Evaluation Methods and Policy	Grading will be determined by question-answers and submitted reports on the assignments which will be given by individual lecturers during the course.
Course Requirements	None
Study outside of Class (preparation and review)	Lecture materials will be provided via PandA CMS. Students are expected to review them.