Course Description
The village of Hakuba is recognized as one of the best snow resorts in Japan. Recently, the number of tourist spots in Hakuba that can be enjoyed even during the green season has increased. Meanwhile, the COVID-19 pandemic has changed the way people travel, and new forms of tourism are emerging. Considering this context, students will learn about the tourism issues facing Hakuba and what can be done to solve them. Using information provided by the Hakuba government, big data held by DOCOMO on tourism in Hakuba, and field surveys in Hakuba, students will deepen their understanding and prepare presentations of what they have learned.
Keywords
problem-solving, problem discovery, group work, data science, tourism policy
Course Plan
* This is a provisional schedule as of February 2023. The final schedule will be shared during Orientation in the first session.
* Abbreviations: H – representative from Hakuba; D – representative from DOCOMO; S – representative from Shinshu University
• Session 1 (S): Orientation
• Session 2 (H): Basic knowledge (1): Tourist attractions and problem awareness in Hakuba
• Session 3 (D): Basic knowledge (2): Introduction to DOCOMO’s regional development initiatives
• Session 4 (S): Dividing into groups; icebreakers; presentation of the problems to be solved
• Session 5 (S): Lecture on problem-solving methods; preparation for field survey
• Sessions 6, 7 (Intensive classes) (S): Field survey in Hakuba
• Session 8 (S): Review of field survey; directions for future issues
• Session 9 (D): Basic knowledge (3): Introduction to mobile spatial statistics
• Session 10 (D): Basic knowledge (4): Introduction to Docomo's Premiere Panels
• Session 11 (S, D): Lecture on data analysis; data browsing and tabulation
• Session 12 (S, D): Mid-term presentations
• Session 13 (S): Preparation for final presentation
• Session 14 (S, D): Rehearsal for final presentation
• Session 15 (S, H, D): Final presentation; class questionnaire
