| 学部・大学院区分 | | 開・博前 | | | 時間割コード | | 3051010 | | | 科目区分 | | 共通・基礎
Basic | | | 科目名 【日本語】 | | 情報処理実習 | | | 科目名 【英語】 | | Information Processing | | | コースナンバリングコード | | | | | 担当教員 【日本語】 | | 宇佐見 晃一 ○ | | | 担当教員 【英語】 | | USAMI Koichi ○ | | | 単位数 | | 2 | | | 開講期・開講時間帯 | | 春集中 その他 その他
Intensive(Spring) Other Other | | | 授業形態 | |
| |
| 授業の目的 【日本語】 | | | | | 授業の目的 【英語】 | | This is an introductory course of data processing for social sciences. Lectures will cover basic and advanced operations of MS-Office software that is one of the indispensable skills to create papers and documents, to make presentation materials and to handle data.
Students will be able to efficiently create research papers and business documents in the correct format using MS-Word. Students will be able to efficiently create presentation materials in the correct format using MS-PowerPoint. Students will be able to efficiently create tables and graphs which are necessary for writing research papers and business documents in the correct format using MS-Excel. Students will be able to solve equations and optimization problems using MS-Excel. |
| | | 到達目標 【日本語】 | | | | | 到達目標 【英語】 | | | | | 授業の内容や構成 | | Structure of the Course / Schedule授業の構成・計画
Part 1 MS-Word for proper documents
01. Basic knowledge on software (window explore view setting) and introduction to MS-word
02. Option setting (formatting mark and privacy setting), style setting (normal font and paragraph) and page setting
03. Drawing function, tables, text boxes and object setting.
04. Business documents and pamphlets
05. Academic documents and references
Part 2 MS-PowerPoint for proper presentation materials
06. Basic knowledge on presentations and introduction to MS-PowerPoint
07. Initial setting of slides, handouts, and notes.
08. Slide changes and animations
Part 3 MS-Excel for proper data processing
09 Basic knowledge on MS-Excel (address, property of cells)
10. Data menu and pivot table function for data handling
11. Graphs and Tables
12. Practice on data handling
13. Goal seek function and solver functions for optimization problems
14. Vector functions and handling of vector and matrix
15. Statistic functions and finance functions |
| | | 履修条件・関連する科目 | | | There is no precondition to take this course |
| | | 成績評価の方法と基準 | | | Performance in the class 20% and report 80%. Credit is given to C- or C (where applicable) or higher grade for each criterion. |
| | | 教科書・参考書 | | Textbook
Lecture materials are distributed through USB memory or web site though no text book is used in the lecture.
Reference
Joan Lambert (2015), Microsoft Office 2016 Step by Step, Microsoft Press,
ISBN-13: 978-0735699236 |
| | | 課外学習等（授業時間外学習の指示） | | | | | 注意事項 | | | | | 使用言語 | | | | | 授業開講形態等 | | | | | 遠隔授業（オンデマンド型）で行う場合の追加措置 | | | |
|