My goal of education is (1) to nurture students' capacity for problem solving by acquiring skills in computation such as R programming and media production, and by acquiring scientific thinking and knowledge in communication and media psychology, and (2) to help students to apply these skills and thinking abilities to solve problems in various areas such as journalism, public relations, advertising, broadcasting, etc.
General introduction to communication science as a way of understanding how humans communicate with themselves, other individuals or media. The focus is on understanding the selection / processes / effects of human / mass communication, and the functions of communication in social situations.
Introduction to data communication as a way of collecting/refining, analyzing/interpreting/predicting, and presenting/delivering data using computer programming skills such as R programming. The focus is on understanding core theories and concepts in communication psychology, and acquiring computer programming skills for embodying data communication.
Data Analysis & Statistical Inference
Introduction to statistics as a way of understanding and analyzing data. Students learn how to use data for solving problems by collecting/transforming/analyzing data, and by making inferences and conclusions about communication phenomena. The focus is on learning knowledge of statistics and skills of computer programming
Workshop for collecting and analyzing data using computer programming skills and for learning how to write and report a data-driven story. The focus is on understanding overall processes of data collection and reporting, and on building the ability of data-driven storytelling.
Film & Data
Intensive analysis of a topic in the field of film studies. The topics may include understanding psychological causes and processes of enjoyment of movies, or finding predictors of movie success. Students utilize their ability acquired from the courses such as understanding communication, data communication, data-driven storytelling, data analysis and statistical inference.
Media Design1, 2
Media Communication English1, 2
Capstone Design1, 2
Programming for Social Science
Introduction to R programming for collecting/refining, analyzing/interpreting/predicting, and presenting/delivering data. The focus is on acquiring computer programming skills for embodying data communication.
Text mining is an automated content analysis. It is a technique that analyzes frequency and relationships among words in corpus, a collection of documents. Uses of computer to extract meaning automatically enable handling of a large amount of data efficiently. After learning fundamentals of machine learning, students will get training how to apply concepts in communication and psychology. Basic skills in R programming are required to take this course.
Advanced Statistics for Social Science
Advanced course for statistics for those who have completed an introductory statistics. Students learn how to use data for solving problems by collecting/transforming/analyzing data, and by making inferences and conclusions about communication phenomena. The focus is on learning advanced knowledge of statistics and skills of computer programming such R
Social Network Analysis
Social network analysis is a way of analyzing social phenomena by grasping overall linking structures of individual social units. In this course, students will learn various types of network analyses treating individuals and media as the unit of analyses. Especially, students will learn semantic network analysis, a way of analyzing content of text by analyzing words and words-networks. After learning fundamentals of natural language process, network theory, and cognitive psychology, students will acquire skills for text extraction and analyzing network using open R packages such as igraph.
Media Psychology Research
Media psychology is the study of relations between humans and media focusing on psychological processes. This course mainly covers uses, effects, and processes of media uses Topics of this class include media selection, perceived reality, immersion, media engagement, empathy, social cognition, functions of story, influence of media uses at the level of individual.
Health Communication Research
Health communication is the study and use of communication strategies to influence individual and social decisions that improve health. Various disciplines such as journalism studies, advertising, public relations, public health, pharmacy, medicine, nursing science, physiology, psychology, sociology, and others are closely knitted with each other. Communication between patients and medical professionals, news reports on health, public health campaign, and health information technology are typical topics in health communication. This course selects a topic from health communication and covers it intensively.
Human Computer Interaction is research that examines phenomena and technology in related to interaction between humans and computers or computer networks. It is multidisciplinary that various fields such as computer science, design, linguistics, psychology, philosophy, media studies, etc. involve. Approach from natural science focuses on machine design, whereas approach from social science focuses on understanding human behaviors such as humans’ perception and cognition of computers. In this class, students will learn media design and psychological processes to understand the principles of human computer interaction.