パーソナルツール
現在の場所: ホーム → 担当教員 → Kramer, Brandon → Syllabus2018 → Multidisciplinary Topic Studies 4
文書操作

←講義で検索へ     ←時間割で検索へ

科目名 Multidisciplinary Topic Studies 4  Science and Society
担当教員 Kramer, Brandon
授業の目的、または到達目標 To introduce and explore the theories and techniques which support all findings in the social sciences. Students will learn about basic methods of data analysis, and how to critically look at results and “facts” presented in current media and news events.
By the end of the course, students should be able to:
* perform and explain the core procedures underlying data analysis within the social sciences
* critically interpret data presented in current topics and news events
* create a data collection instrument, and analyze the data collected from it
授業の概要 This course will cover the basic procedures for data analysis in the social sciences. Some elementary techniques and concepts will be introduced, with ample time for practice and implementation using real data. While this knowledge is developing, students will practice critical interpretation of data presented in current topics and news events. Finally, students will be able to create their own instrument and collect original data, which they will analyze and present.
科目群/ベンチマーク 共通英語科目　Advancedﾚﾍﾞﾙ必修　
授業の形態 Group and class discussions, lectures, online coursework, presentations, and reflection papers.
時間割   概要 宿題(予習・復習等)
1
  • Introduction to Social Sciences; Data Collection and Error; Introduction to Numeracy
  • TBA (To Be Announced) A detailed syllabus will be provided in class
2
  • Sampling Pt. 1: Sample vs. Population
  • TBA
3
  • Sampling Pt. 2: Dealing with Bias
  • TBA
4
  • Describing Quantitative Data: Histograms, Averages, and Standard Deviation
  • TBA
5
  • Survey Creation Pt. 1: Crafting Research Questions
  • TBA
6
  • Survey Creation Pt. 2: Item Construction; Alpha Testing; Pilot Testing; Organizing Data in Excel
  • TBA
7
  • Graph Types; Producing APA Tables and Figures
  • TBA
8
  • Two-Variable Analysis Pt. 1: Correlations
  • TBA
9
  • Statistical Significance and p-values
  • TBA
10
  • Two Variable Analysis Pt. 2: Introduction to t-tests
  • TBA
11
  • Alpha-Testing for Second Analysis
  • TBA
12
  • Data Review and Presentation Preparation
  • TBA
13
  • Presentation Preparation and Practice
  • TBA
14
  • Research Presentations
  • TBA
15
  • Reflection and Wrap-up
  • TBA
準備学習 Class will be conducted assuming that all students have previously worked with the material. Students must do the assigned modules, tasks, and readings before class, and prepare for weekly discussions. Readings and homework must be completed before class. Reflection papers should be based on recent course content and must be completed alone. Out-of-class assignments should take at least 2 to 3 hours for every hour in class, so students should manage their time accordingly.
教科書 Readings will be provided, free sources of online learning will be utilized, and additional notes and activities will be provided.
参考文献 Additional learning resources will be used in this class and provided for students to watch or read and try to understand. Students will be expected to be proactive if they are unable to comprehend these resources, and ask for help from fellow students or the teacher to understand the material.
成績評価方法・基準 Evaluation is based on course work, participation, and papers:
*Class work & quizzes – 40% (includes in-class work, homework, presentations, quizzes, discussions);
*Research presentation(s) – 20%;
*Written summary & reflection of research – 10%;
*Reflection & response papers – 30% (4 or more)
備考 A detailed syllabus will be provided in the first class. Any changes to the syllabus will be announced at that time.

時間割

担当教員 開講学期 開講曜日 開講時限 履修クラス 単位数
Kramer, Brandon 秋学期 火曜日 ５時限 2