Numbering Code	U-LAS30 10016 LE10 U-LAS30 10016 LE11 U-LAS30 10016 LE12	Year/Term	2022 ・ First semester
Number of Credits	2	Course Type	Lecture
Target Year	All students	Target Student	For all majors
Language	English	Day/Period	Wed.5
Instructor name	LIN, Donghui (Graduate School of Informatics Program-Specific Associate Professor)
Outline and Purpose of the Course	Nowadays, in order to conduct state-of-the-art research or development in various fields including also liberal arts and sciences, one needs to know not only fundamental computer skills but also how to process, utilise and analyse large scale and heterogenous information. This lecture covers fundamentals of information literacy and information utilization including topics related to collecting, organizing, searching, managing and analyzing information as well as topics related to presenting and visualizing information. The course will provide overview of basic technologies for extracting useful knowledge to perform sophisticated analysis, and will also introduce how to use these technologies in different research fields.
Course Goals	Students will know fundamentals of information retrieval, processing, analysing and presenting and be able to understand when and how computational techniques should be used for solving diverse problems.
Schedule and Contents	Processing and management of information (about 7 classes) This part covers topics related to automatic analysis and processing of information, information retrieval (search engines) and storage (relational databases). Analysis of information (about 4 classes) This part covers methods used for analyzing the data, such as effective information and data mining techniques (association rules, clustering techniques, decision trees, etc.) and machine learning approaches. Representation of information (about 2 classes) Topics related to acquisition of information by computers (e.g., analog and digital data, multi-media, sampling theorem), and topics related to representation of information (coding, information amount, entropy, Huffman code, mutual information). Information design (about 1 classes) This part will cover data visualization techniques. Total：14 classes, 1 feedback session.
Evaluation Methods and Policy	Grading will be based on the evaluation of submitted reports for each assignment. All assignments will be available via the PandA system.
Course Requirements	None
Study outside of Class (preparation and review)	Students will review materials after classes based on the lecture slides.
Textbooks	Textbooks/References	All lecture slides will be available via the PandA system.