Web Page for Waseda University SILS Nishiyama-zemi

早稲田大学国際教養学部・西山ゼミのウェブページ

  • Aims and Scopes
    • Just as academic development is rapid these days, the learning and research goals of our “zemi” are changing year by year. At present, the theme is “Learning and practicing fundamental methods of data science using R”. At the weekly seminars, we deepen our understanding of statistics that we have learned since entering the university by reading some textbooks dealing with computer training using R.
    • In writing a senior thesis, each student selects a research theme depending on his/her own interest, and collects some data sets to achieve the purpose. The data analysis methods that each person has acquired are put into practice, and the research goal is to discover some new knowledge through the conversations with data.
  • Contact Address
    • School of International Liberal Studies, Waseda University
      1-6-1 Nishi-Waseda, Shinjuku-ku, Tokyo 169-8050, Japan
    • Email: nishiyama [at] waseda [dot] jp
  • List of Seminar Textbooks
    • 『時系列データ分析』 by 横内大介・青木義充．技術評論社，2014．
    • “R for Everyone: Advanced Analytics and Graphics” by J.P. Lander. Addison-Wesley, 2013.
    • “R for Marketing Research and Analytics” by C. Chapman and E.M. Feit. Springer, 2015.
    • “R for Data Science” by H. Wickhman and G. Grolemund. O’Reilly, 2017.
    • “An Introduction to Statistical Learning: with Applications in R” by G. James, D. Witten, T. Hastie and R. Tibshirani. Springer, 2013.
    • “ggplot2” by H. Wickhman. Springer, 2016.
    • 『はじめてのパターン認識』 by 平井有三．森北出版，2012．
    • 『スパース推定法による統計的モデリング』 by 川野秀一・松井秀俊・廣瀬慧．共立出版，2018．
    • “Quantitative Social Science: An Introduction” by K. Imai. Princeton, 2017.
    • “Data Science Using Python and R” by C.D. Larose and D.T. Larose. Wiley, 2019.
    • “Data Visualization with R” by R. Kabakoff. https://rkabacoff.github.io/datavis/
    • “R for Data Science (2e)” by H. Wickham, M. Çetinkaya-Rundel, and G. Grolemund. https://r4ds.hadley.nz/
    • “Introduction to Data Science (Part 1): Data Wrangling and Visualization with R” by R.A. Irizarry. https://rafalab.dfci.harvard.edu/dsbook-part-1/
    • “Introduction to Data Science (Part 2): Statistics and Prediction Algorithms Through Case Studies” by R.A. Irizarry. https://rafalab.dfci.harvard.edu/dsbook-part-2/
  • Titles for Senior Theses of Graduates from SILS Nishiyama-zemi
    • The analysis of the relationship between the psychological disorders and activities people do.
    • How can inbound tourism further develop in Japan? —Analysis of variables affecting the development of inbound tourismusing the WEF Travel and Tourism Competitiveness Report 2015—.
    • The future challenges of medical service in Japan.
    • Higher education and role of Waseda Vision 150 considered from the viewpoint of university rankings.
    • The effect of “Zekkei” boom; Analysis of the reviews about Zekkei.
    • What are the factors of highly rated movies?
    • Neural networks implementation in Malaria infected cell classification —Analysis of simple, small, yet effective neural network models.
    • The alternating determination method of multipliers for the Dantzig selector.
    • Relationships between one’s enviromental values and proenvironmental actions.
    • How to apply methods of clustering and classification with R.
    • Applications of Big Data in restaurant industry.
    • Discuss the impact of Cryptocurrency on business transactions and the global economy.
    • Application of technology in macroeconomic assessment: Analyzing the U.S. economy and its trends.
    • Planning and development of solutions to apparel loss using iOS apps.
    • How the global trend of SDGs and climate change is impacting the automotive industry.
    • The geography of Pokemon GO: Which types of places are advantaged and disadvantaged by Pokemon GO?
    • Development and evaluation of hourse racing AI with logistic regression.
    • Methodology of text analysis on online reviews.
    • Trend analysis of real estate transactions in Tokyo.
    • The Chi-squared test for the contingency table.
    • Game market research based on game sales data.
    • HIV in focus: Examining prevalence, antiretroviral therapy success, and future trends.
    • Evaluation of GX policy in Japan: Impact analysis of carbon neutral port development in Yokohama city.
    • Why has K-pop gone viral in the world?
    • Wine quality: What determines the quality of wine?
    • Building a high-accuracy translation web application with the customized model and novel approaches.
    • Quantitative trading system over Japanese stock market and automatic trading realization.
    • Neural network practice for image denosing.
    • A study of credit card fraud detection.
    • Portfolio optimization in the Chinese stock market: Evaluating stocks using the Fama-French three-factor model.
    • What influences your sleep? — A regression example of the Sleep, Health and Lifestyle data.
    • Analyzing the relationship between socioeconomic factors and fertility rates: A comparative study of France and Korea (1980-2020).
    • Determinants of GDP in advanced economies: A cross-country analysis.
    • Greenery in Tokyo’s 23 Wards —Focusig on Chiyoda Ward and Taito Ward—.
    • Bridging the devide: Comparing industry and academia in AI model development.