GISDepartment of Global and Interdisciplinary Studies
FRI100ZA（情報学フロンティア / Frontiers of informatics 100）Introduction to ProgrammingIntroduction to Programming
Alfons Josef Schuster
授業コードなどClass code etc
| 学部・研究科Faculty/Graduate school | GISDepartment of Global and Interdisciplinary Studies |
| 添付ファイル名Attached documents | |
| 年度Year | 2025 |
| 授業コードClass code | A6064 |
| 旧授業コードPrevious Class code | |
| 旧科目名Previous Class title | |
| 開講時期Term | 秋学期授業/Fall |
| 曜日・時限Day/Period | 月1/Mon.1 |
| 科目種別Class Type | |
| キャンパスCampus | 市ヶ谷 / Ichigaya |
| 教室名称Classroom name | 情報実習室E（0409） |
| 配当年次Grade | 1～4 |
| 単位数Credit(s) | 2 |
| 備考（履修条件等）Notes | |
| 他学部公開科目Open Courses | |
| 他学部公開（履修条件等）Open Courses (Notes) | |
| グローバル・オープン科目Global Open Courses | |
| 成績優秀者の他学部科目履修制度対象Interdepartmental class taking system for Academic Achievers | ○ |
| 成績優秀者の他学部科目履修（履修条件等）Interdepartmental class taking system for Academic Achievers (Notes) | 制度ウェブサイトの3．科目別の注意事項(1)GIS主催科目の履修上の注意を参照すること。 |
| 実務経験のある教員による授業科目Class taught by instructors with practical experience | |
| SDGsCPSDGs CP | |
| アーバンデザインCPUrban Design CP | |
| ダイバーシティCPDiversity CP | |
| 未来教室CPLearning for the Future CP | |
| カーボンニュートラルCPCarbon Neutral CP | |
| 千代田コンソ単位互換提供（他大学向け）Chiyoda Campus Consortium | |
| 旧科目との重複履修Duplicate Subjects Taken Under Previous Class Title | |
| カテゴリー（2024年度以降入学者）Category (commenced 2024 onwards) |
100-level General Study Courses Value-Added Courses |
| カテゴリー（2020～2023年度入学者）Category (commenced 2020-2023) |
100-level General Study Courses Value-Added Courses |
| カテゴリー（2016～2019年度入学者）Category (commenced 2016-2019) |
100-level General Study Courses Adjunct Subjects |
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授業の概要と目的（何を学ぶか）Outline and objectives
Today, computers and computer programs (software) are omnipresent in the world around us. This course is an introductory course on computer programming. Programming is a creative activity, and the course emphasizes hands-on computer programming. The course aims to familiarize students with fundamental programming concepts such as Variables, Strings, Arrays, Operators, Conditional Statements, Loops, Functions, and so on. The course also aims to apply these basic programming concepts to computer-based problem-solving methods.
到達目標Goal
By the end of the semester, students should: (i) understand fundamental programming concepts shared by most programming languages, (ii) be able to apply these concepts to a wide range of problem situations, and (iii) have gained an understanding of the popular Python programming language.
この授業を履修することで学部等のディプロマポリシーに示されたどの能力を習得することができるか（該当授業科目と学位授与方針に明示された学習成果との関連）Which item of the diploma policy will be obtained by taking this class?
Will be able to gain “DP 1”, “DP 2” and “DP 4”.
授業で使用する言語Default language used in class
英語 / English
授業の進め方と方法Method(s)（学期の途中で変更になる場合には、別途提示します。 /If the Method(s) is changed, we will announce the details of any changes. ）
The main elements of the course are lectures, assignments, programming exercises, and in-class discussions. The lectures relate to the topics mentioned in the course schedule below. A class typically provides feedback and guidance on assignments. In addition, each class provides various programming exercises that allow students to engage actively, discuss, and practice current issues in computer programming.
アクティブラーニング（グループディスカッション、ディベート等）の実施Active learning in class (Group discussion, Debate.etc.)
あり / Yes
フィールドワーク（学外での実習等）の実施Fieldwork in class
なし / No
授業計画Schedule
授業形態/methods of teaching：対面/face to face
※各回の授業形態は予定です。教員の指示に従ってください。
1[オンライン/online]：Introduction to the course.
Introduction to the course and to programming in Python.
2[対面/face to face]：Introduction to basic programming elements.
For example, comments, variables, data types, numbers, or casting. Programming exercises.
3[対面/face to face]：Introduction to basic programming elements.
For example, strings, booleans, or operators. Programming exercises.
4[対面/face to face]：Introduction to basic programming elements.
Data structures. For example, lists, tuples, sets, or dictionaries. Programming exercises.
5[対面/face to face]：Introduction to basic programming elements.
Control statements. For example, if-else, while, or for loop. Programming exercises.
6[対面/face to face]：Introduction to basic programming elements.
Review and consolidation of material so far. Programming exercises.
7[対面/face to face]：Review and midterm exam.
Review and final tips. Midterm exam.
8[対面/face to face]：Introduction to basic programming elements.
Functions. Programming exercises.
9[対面/face to face]：Introduction to basic programming elements.
File handling. Programming exercises.
10[対面/face to face]：Introduction to basic programming elements.
Review and consolidation of basic programming elements. Programming exercises.
11[対面/face to face]：Introduction to more advanced Python programming elements.
Python modules. Programming exercises.
12[対面/face to face]：Introduction to more advanced Python programming elements.
Python Matplotlib. Programming exercises.
13[対面/face to face]：Introduction to more advanced Python programming elements.
Modern Python environments (e.g., Anaconda, Jupyter notebook). Programming exercises.
14[対面/face to face]：Final examination & wrap-up.
Review and final tips. Final exam.
授業時間外の学習（準備学習・復習・宿題等）Work to be done outside of class (preparation, etc.)
Class preparation and review for this class are 2 hours each. Students are expected to read various course related materials carefully to acquire a thorough understanding of the ideas and concepts presented to them in class. In addition, students are given weekly assignments. These assignments are an important element in the course and contribute to the overall mark that a student may achieve.
テキスト（教科書）Textbooks
There is no required textbook for this course. The course uses online materials. In addition, handouts and other reading materials will be provided by the instructor.
参考書References
Python Basics: A Practical Introduction to Python. Authors: David Amos, Dan Bader, Joanna Jablonski, and Fletcher Heisler. Publisher: Real Python (realpython.com) (2021). ISBN-10: 1775093328. ISBN-13: 978-1775093329.
成績評価の方法と基準Grading criteria
Participation (10%).
Assignments (20%).
Midterm exam (30%).
Final exam (40%).
学生の意見等からの気づきChanges following student comments
Not applicable.
学生が準備すべき機器他Equipment student needs to prepare
The first class provides instructions about setting up a Python working environment on a PC/laptop.
Prerequisite
None.