Course Name Year Term Period Faculty / Graduate School All Instructors Credits
50573:Policy Information Processing 1 (P) 2025 Fall Mon2 College　Of　Policy　Science INOGUCHI MUNENARI 2

Campus

OIC

Class Venue

AS464

Language

English

Course Outline and Method

The course aims to offer students basic computer literacy essential for policy science major students to study other subjects and conduct research. This course will cover the basic knowledge to conduct academic activities, such as presentation, writing, data processing, and analysis.

Student Attainment Objectives

Through this course:
1. Students will be able to manage information for academic research using various resources
    including the Internet, databases, and the library.
2. Students will be able to develop a basic research proposal and framework.
3. Students will be able to write academic papers with correct structure following a designated
    academic writing style.
4. Students will be able to use spreadsheets and create tables as well as figures for academic papers.
5. Students will be able to conduct academic presentations.

Recommended Preparatory Course

Course Schedule

Lecture/Instructor（When there are multiple instructors) Theme
Keyword, References and Supplementary Information
1

Introduction

Outline and course overview

【+R-Jugyo】Information for “+R-Jugyo” will be posted on manaba+R.

2

Academic Writing (1)

Using Microsoft Word, essay and report writing style

3

Academic Writing (2)

Using Microsoft Word, essay and report writing style

4

Academic Presentation (1)

Using Microsoft PowerPoint, presenting research proposal

5

Academic Presentation (2)

Presentation Structure

6

Data Organization and Processing (1)

Filter, Graph creation

7

Data Organization and Processing (2)

Data Calculation Using Excel (1)

8

Data Organization and Processing (3)

Data Calculation Using Excel (2)

9

Data Organization and Processing (4)

Descriptive statistics, PivotTable

10

Data Organization and Processing (5)

Scatter plot, regression line, correlation coefficient

11

Final Assignment and Review (1)

Preparation for Final presentation

12

Final Assignment and Review (2)

Preparation for Final presentation

13

Final Assignment and Review (3)

Presenting research results and final report writing (1)
(online lectures via Teams)

14

Final Assignment and Review (4)

Presenting research results and final report writing (2)
(online lectures via Teams)

Class Format

14 classes on Face to Face basis, 0 classes on Media basis (either live-streamed classes or on-demand classes).

Recommendations for Private Study

Students should prepare for the class by building their knowledge base by reading related academic literatures outside class hours.

Grade Evaluation Method

Kind Percentage Grading Criteria etc.
Final Examination (Written) 0

Report Examination
(A report to be submitted by the unified deadline)		 0

Exams and/or Reports other than those stated above, and Continuous Assessment　
(Evaluation of Everyday Performance in Class)		 100

Class Attendance and Participation, Weekly Assignment, Final Presentation, Final Report

Grade Evaluation Method （Note）

Advice to Students on Study and Research Methods

Textbooks

Textbooks （Frequency of Use, Note）

No textbook will be assigned. Lecture materials will be distributed online via manaba+R, etc.

Reference Books

Reference Books （Frequency of Use, Note）

Web Pages for Reference

How to Communicate with the Instructor In and Out of Class(Including Instructor Contact Information)

Learning Management System （manaba+R）,Talk with Students

Other Comments

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URL:https://secure.ritsumei.ac.jp/students/pathways-future/course/curriculum.html/