Numbering Code	U-LAS30 10016 LE10 U-LAS30 10016 LE11 U-LAS30 10016 LE12	Year/Term	2022 ・ Second semester
Number of Credits	2	Course Type	Lecture
Target Year	All students	Target Student	For all majors
Language	English	Day/Period	Mon.2
Instructor name	EVEN，Jani Juhani luc (Graduate School of Informatics Program-Specific Senior Lecturer)
Outline and Purpose of the Course	Information is everywhere and overwhelming in our modern society. “Information literacy” has now become a necessary skill in any career path. “Information literacy” is not just about “using computers”, it is about accessing, analyzing and visualizing the huge amount of information at our disposal. This course covers the fundamentals of “information literacy”. The first part explains how computers acquire and represent information. Then, the collection, organization and management of large quantity of information is discussed. In particular, the focus is on how to search and analyze information. Finally, several ways of presenting and visualizing the information are discussed. The students will learn to use the necessary technologies to extract knowledge from large amount of information, analyze that information and format the results in an appealing manner for presentation. This process will be illustrated by examples in different fields.
Course Goals	Students will learn to handle large amount of information in an efficient manner. They will also acquire an understanding of what techniques to use for a given problem.
Schedule and Contents	The course starts with the representation of information by computers: ・　information acquisition: sampling and quantization ・　information representation: coding ・　information quantification: entropy, mutual information Then, we will discuss automatic information processing and management: ・　information processing system ・　information retrieval (search engines) ・　information storage (relational databases) The next part will introduce techniques for information analysis: ・　data mining ・　machine learning Finally, visualization techniques and information presentation will be discussed: ・　diagram creation ・　graph creation ・　heatmap creation The schedule and contents are subject to change based on class progress. Total：14 classes, 1 Feedback session
Evaluation Methods and Policy	The evaluation will be based on assignments given after some of the classes (50%) and a final examination (50%). For each task, the evaluation criteria will be presented and a raw score grade [0-100] will be used. In addition, some classes will have self-evaluation quizzes that do not contribute to the evaluation.
Course Requirements	This is a beginner course: no prior experience is required. However, some mathematical developments require to be familiar with basic probabilities. Some basic computer skills are required for accessing the material (web browser) and submitting the assignments (writing or scanning).
Study outside of Class (preparation and review)	The students are expected to review the new material within the week of delivery in order to smoothly follow the course. Assignments (if any) will be due by the day before the next class.
Textbooks	Textbooks/References	No textbook, handouts.
References, etc.	Some references will be given in class.