日本語 English
| 開講年度/ Academic YearAcademic Year |
20252025 |
| 科目設置学部/ CollegeCollege |
経営学研究科/Graduate School of BusinessGraduate School of Business |
| 科目コード等/ Course CodeCourse Code |
KN004/KN004KN004 |
| テーマ・サブタイトル等/ Theme・SubtitleTheme・Subtitle |
Survey Methods and Quantitative Analysis |
| 授業形態/ Class FormatClass Format |
対面（全回対面）/Face to face (all classes are face-to-face)Face to face (all classes are face-to-face) |
| 授業形態（補足事項）/ Class Format (Supplementary Items)Class Format (Supplementary Items) |
In principle, this class is held in-person. You will need access to a stable internet connection in an appropriate learning environment (including device) especially for select sessions with guest speakers and workshops (special online zoom sessions will be announced at least one week in advance). |
| 授業形式/ Class StyleCampus |
講義/LectureLecture |
| 校地/ CampusCampus |
池袋/IkebukuroIkebukuro |
| 学期/ SemesterSemester |
秋学期他/Fall OthersFall Others |
| 曜日時限・教室/ DayPeriod・RoomDayPeriod・Room |
ログインして教室を表示する（Log in to view the classrooms.） |
| 単位/ CreditsCredits |
22 |
| 科目ナンバリング/ Course NumberCourse Number |
MIB5011 |
| 使用言語/ LanguageLanguage |
英語/EnglishEnglish |
| 履修登録方法/ Class Registration MethodClass Registration Method |
自動登録/Automatic RegistrationAutomatic Registration |
| 配当年次/ Assigned YearAssigned 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。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。 |
| 先修規定/ Prerequisite RegulationsPrerequisite Regulations |
|
| 他学部履修可否/ Acceptance of Other CollegesAcceptance 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。 |
| 履修中止可否/ Course CancellationCourse Cancellation |
×（履修中止不可/ Not eligible for cancellation） |
| オンライン授業60単位制限対象科目/ Online Classes Subject to 60-Credit Upper LimitOnline Classes Subject to 60-Credit Upper Limit |
|
| 学位授与方針との関連/ Relationship with Degree PolicyRelationship 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。 |
| 備考/ NotesNotes |
Upon completion of the course, students should:
1) have a better appreciation of quantitative methods in a business context
2) be able to undertake preliminary analysis using regressions
3) be able to use various statistics functions within EXCEL
4) be prepared to undertake course work in applied data analysis, finance, and economics.
This module is an introduction to data analysis and applied statistics. The course introduces topics in the context of finance, however, the methods and techniques covered in the class can be applied to a wide range of fields in business and economics.
Students should have access to EXCEL (Data Analysis Tools).
| 1 | Introduction |
| 2 | Descriptive Statistics: Location |
| 3 | Descriptive Statistics: Spread |
| 4 | Descriptive Statistics: Correlations |
| 5 | The Normal Distribution and Inference: An Intuitive Introduction |
| 6 | The Normal Distribution and Inference: An Intuitive Introduction |
| 7 | The Regression Model: An Introduction |
| 8 | The Regression Model: Dummy Variables |
| 9 | The Regression Model: Applications |
| 10 | The Regression Model: Applications |
| 11 | The Regression Model: Estimating Beta (Market Model) |
| 12 | Research |
| 13 | Research |
| 14 | Research |
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
Review assigned readings and notes each week. Work on weekly assignments and project.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
Assignments and In-Class Excercise(40%) Participation(20%) 最終レポート(Final Report)(40%) |
| 備考 (Notes) | ||
なし/None
Students should have a PC notebook and/or pad with EXCEL and a stable access to the internet (from home).
Detailed course outline posted on Canvas during the first week of class. Notes and readings posted on Canvas. Course schedule and content is subject to change (all changes/modifications will be posted on Canvas and announced in class). Students are expected to check Canvas and their Rikkyo email account on a regular basis for announcements.
Upon completion of the course, students should:
1) have a better appreciation of quantitative methods in a business context
2) be able to undertake preliminary analysis using regressions
3) be able to use various statistics functions within EXCEL
4) be prepared to undertake course work in applied data analysis, finance, and economics.
This module is an introduction to data analysis and applied statistics. The course introduces topics in the context of finance, however, the methods and techniques covered in the class can be applied to a wide range of fields in business and economics.
Students should have access to EXCEL (Data Analysis Tools).
| 1 | Introduction |
| 2 | Descriptive Statistics: Location |
| 3 | Descriptive Statistics: Spread |
| 4 | Descriptive Statistics: Correlations |
| 5 | The Normal Distribution and Inference: An Intuitive Introduction |
| 6 | The Normal Distribution and Inference: An Intuitive Introduction |
| 7 | The Regression Model: An Introduction |
| 8 | The Regression Model: Dummy Variables |
| 9 | The Regression Model: Applications |
| 10 | The Regression Model: Applications |
| 11 | The Regression Model: Estimating Beta (Market Model) |
| 12 | Research |
| 13 | Research |
| 14 | Research |
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
Review assigned readings and notes each week. Work on weekly assignments and project.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
Assignments and In-Class Excercise(40%) Participation(20%) 最終レポート(Final Report)(40%) |
| 備考 (Notes) | ||
なし/None
Students should have a PC notebook and/or pad with EXCEL and a stable access to the internet (from home).
Detailed course outline posted on Canvas during the first week of class. Notes and readings posted on Canvas. Course schedule and content is subject to change (all changes/modifications will be posted on Canvas and announced in class). Students are expected to check Canvas and their Rikkyo email account on a regular basis for announcements.