日本語

Course Code etc
Academic Year 2024
College College of Law and Politics
Course Code EX810
Theme・Subtitle Business Statistics
Class Format Online (all classes are online)
Class Format (Supplementary Items) 発話を伴う授業を学内で受講する場合はN851教室の利用可。
Campus Lecture
Campus Niiza
Semester Fall semester
DayPeriod・Room Fri.5
ログインして教室を表示する(Log in to view the classrooms.)
Credits 2
Course Number LPX2901
Language English
Class Registration Method Course Code Registration
Assigned Year 配当年次は開講学部のR Guideに掲載している科目表で確認してください。
Prerequisite Regulations
Acceptance of Other Colleges 履修登録システムの『他学部・他研究科履修不許可科目一覧』で確認してください。
Course Cancellation 〇(履修中止可/ Eligible for cancellation)
Online Classes Subject to 60-Credit Upper Limit
Relationship with Degree Policy 各授業科目は、学部・研究科の定める学位授与方針(DP)や教育課程編成の方針(CP)に基づき、カリキュラム上に配置されています。詳細はカリキュラム・マップで確認することができます。
Notes ※併置科目(親科目:観光学部)
グローバルコースの学生のみ

【Course Objectives】

Upon completion of this course, the student will be able to
①Understand and explain basic tourism concepts and destination marketing elements.
②Understand the DCOVA framework
③Able to apply statistics to solve business problems

【Course Contents】

The tourism industry is a foundation of the global economy and a significant industry that impacts a variety of sectors. In this course, by learning fundamental tourism statistics, student will deepen student understanding of industry health and dynamism through indicators such as visitor numbers, spending patterns, and market share. At the core of the course is the DCOVA framework, which promotes systematic decision-making through the collection, organization, visualization, and application of data. Through practical projects, student will cultivate analytical skills and develop the ability to support decision-making within the industry.

Japanese Items

【授業計画 / Course Schedule】

1 Introduction: Important Things to Learn First
2 Defining and Collecting Data
3 Organizing and Visualizing Variables
4 Numerical Descriptive Measures
5 The Normal Distribution
6 Sampling Distributions
7 Confidence Interval Estimation
8 Fundamentals of Hypothesis Testing: One-Sample Tests
9 Two-Sample Tests and One-Way ANOVA
10 t-Test
11 Journal article Reading and Discussion (Quantitative)
12 Student Project
13 Student Project
14 Student Project

【活用される授業方法 / Teaching Methods Used】

板書 /Writing on the Board
スライド(パワーポイント等)の使用 /Slides (PowerPoint, etc.)
上記以外の視聴覚教材の使用 /Audiovisual Materials Other than Those Listed Above
個人発表 /Individual Presentations
グループ発表 /Group Presentations
ディスカッション・ディベート /Discussion/Debate
実技・実習・実験 /Practicum/Experiments/Practical Training
学内の教室外施設の利用 /Use of On-Campus Facilities Outside the Classroom
校外実習・フィールドワーク /Field Work
上記いずれも用いない予定 /None of the above

【授業時間外(予習・復習等)の学修 / Study Required Outside of Class】

1.Preparation Activities:
Study basic statistical terms and concepts in advance to gain a preliminary understanding of the topics to be discussed.
Read summaries or introductions to relevant chapters to build a foundation for class discussions.
Find real-world cases in the tourism industry that demonstrate how statistical data can be collected and utilized.

2.Review Activities:
Organize class notes, distilling key concepts and definitions.
Complete any assigned homework or exercises to apply and reinforce the content learned.
Form study groups with classmates to discuss concepts from class and clarify any doubts.

3.Application Activities:
Practice with actual data, such as analyzing tourism-related datasets to exercise statistical skills.
Conduct small research projects, like designing a survey, collecting data, and analyzing it.
Use software tools (e.g., Excel) for practicing data organization, analysis, and visualization.

【成績評価方法・基準 / Evaluation】

種類 (Kind)割合 (%)基準 (Criteria)
平常点 (In-class Points)100 In-class Participation (English) (60%)
最終レポート(Final Report)(40%)
備考 (Notes)

【テキスト / Textbooks】

その他 (Others)
Reading materials will be distributed in class

【参考文献 / Readings】

その他 (Others)
Reading materials will be distributed in class

【履修にあたって求められる能力 / Abilities Required to Take the Course】

【学生が準備すべき機器等 / Equipment, etc., that Students Should Prepare】

Excel

【その他 / Others】

【注意事項 / Notice】