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データサイエンス応用研究
| 令和２年度入学者 | データサイエンス応用研究 | ||||
|---|---|---|---|---|---|
| 令和元年度以前入学者 | 社会学実証応用研究３ | ||||
| 教員名 | 菅野剛 | ||||
| 単位数 | 2 | 課程 | 開講区分 | 文理学部 | |
| 科目群 | 社会学専攻 | ||||
| 学期 | 前期 | 履修区分 | 選択 | ||
| 授業の形態 | On demand (NU-AppsG and Google Classroom) |
|---|---|
| 授業概要 | Introduction to Programming and Data Science |
| 授業のねらい・到達目標 | Learn programming. Learn statistics. Reduce cognitive biases. |
| 授業の方法 | https://sites.google.com/a/nihon-u.ac.jp/sugano-lab/home/google-classroom Classes to be held online. If the first class is not held in the classroom, please refer to the above web page and join the Google Classroom class. Online instruction is available with Google Classroom, etc. Preparation for class by reading textbooks and by learning online resources beforehand is required. Discuss the topics and applied data analysis during the class. Programming and analyses are provided as pre-course work and homework. NU-MailG accounts and joining to Google Classroom are required. (BYOD: Bring your own device. ASUS Chromebook Flip C100PA / C101PA available for students.) Courses are to be closed upon no registration. |
| 授業計画 | |
|---|---|
| 1 |
Classroom: Notification of NU-AppsG accounts, password reminder settings, password settings, how to use Google Classroom, joining a class, Google Colaboratory, Python, Introduction to Programming and Data Science.
【事前学習】Pre-course work: Introduction to Programming and Data Science （2時間） 【事後学習】Homework: Introduction to Programming and Data Science （2時間） |
| 2 |
Introduction to Python
【事前学習】Pre-course work: Introduction to Python （2時間） 【事後学習】Homework: Introduction to Python （2時間） |
| 3 |
Core Elements of Programs
【事前学習】Pre-course work: Core Elements of Programs （2時間） 【事後学習】Homework: Core Elements of Programs （2時間） |
| 4 |
Simple Algorithms
【事前学習】Pre-course work: Simple Algorithms （2時間） 【事後学習】Homework: Simple Algorithms （2時間） |
| 5 |
Functions, scoping, and abstraction
【事前学習】Pre-course work: Functions （2時間） 【事後学習】Homework: Functions （2時間） |
| 6 |
Tuples and Lists
【事前学習】Pre-course work: Tuples and Lists （2時間） 【事後学習】Homework: Tuples and Lists （2時間） |
| 7 |
Dictionaries
【事前学習】Pre-course work: Dictionaries （2時間） 【事後学習】Homework: Dictionaries （2時間） |
| 8 |
Testing and Debugging
【事前学習】Pre-course work: Testing and Debugging （2時間） 【事後学習】Homework: Testing and Debugging （2時間） |
| 9 |
Exceptions and Assertions
【事前学習】Pre-course work: Exceptions and Assertions （2時間） 【事後学習】Homework: Exceptions and Assertions （2時間） |
| 10 |
Classes and object-oriented programming
【事前学習】Pre-course work: Classes and Inheritance （2時間） 【事後学習】Homework: Classes and Inheritance （2時間） |
| 11 |
An Extended Example
【事前学習】Pre-course work: An Extended Example （2時間） 【事後学習】Homework: An Extended Example （2時間） |
| 12 |
Computational Complexity
【事前学習】Pre-course work: Computational Complexity （2時間） 【事後学習】Homework: Computational Complexity （2時間） |
| 13 |
Some simple algorithms and data structures
【事前学習】Pre-course work: Searching and Sorting Algorithms （2時間） 【事後学習】Homework: Searching and Sorting Algorithms （2時間） |
| 14 |
Plotting and more about classes
【事前学習】Pre-course work: Plotting （2時間） 【事後学習】Homework: Plotting （2時間） |
| 15 |
Programming and Data Science
【事前学習】Pre-course work: Programming and Data Science （2時間） 【事後学習】Homework: Programming and Data Science （2時間） |
| その他 | |
|---|---|
| 教科書 | 使用しない |
| 参考書 | John V. Guttag, Introduction to Computation and Programming Using Python: With Application to Understanding Data., The MIT Press, 2016, 2 edition P.G.ホーエル 『初等統計学』 培風館 1981年 第4版 T.H.ウォナコット・R.J.ウォナコット 『統計学序説』 培風館 1978年 P.G.ホーエル 『入門数理統計学』 培風館 1978年 『IT技術者の長寿と健康のために （長野宏宣・中川晋一・蒲池孝一・櫻田武嗣・坂口正芳・八尾武憲・衣笠愛子・穴山朝子）』 近代科学社 2016年 Ana Bell, Eric Grimson, and John Guttag. 6.0001 Introduction to Computer Science and Programming in Python. Fall 2016. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA. https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/ John Guttag. 6.00SC Introduction to Computer Science and Programming. Spring 2011. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA. https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00sc-introduction-to-computer-science-and-programming-spring-2011/index.htm |
| 成績評価の方法及び基準 | 授業参画度(100%) Self-directedness and Intellectual flexibility. |
| オフィスアワー | Ask any questions at any time on Google Classroom. Appointment times will generally be available after the class. |
| 備考 | The content of the syllabus is subject to change based on the student's progress. Pre-class work and homework time is approximate. |