This document discusses the development of e-learning courses in statistics through the Duex program. Duex is a consortium of Japanese universities and companies focused on data-related human resource development. It produces online statistics and data science courses using a low-cost, high-quality approach involving individual instructors creating video lectures using PowerPoint, scripts, and video editing software. The document outlines Duex's funding and participating institutions, and provides tips for instructors to efficiently create online video courses themselves with minimal budget and assistance from others.

1. E-learning Development of Statistics and in Duex:
Practical Approaches and their Tips for Low-Cost/High-Quality Courses
Joe Suzuki
Mathematical Science Division
Statistical Mathematics
Osaka University
November 15, 2018
Conference on Education of Data Science
at Shiga Univerity

2. Joe Suzuki Professor of Statistics, Osaka university
Research Machine learning (graphical models and sparse estimation)
Education Statistics for undergraduate and graduate students
Management e-learning production at Duex

3. Data-related Human Resource Development (Duex)
was established in October 2017
Duex consists of 3 Cources
A. Data Science Basic Course
B. Data Science Practice Course
C. Medical Data Basic and Practice Course
Universities Osaka U, Kyoto U, Shiga U, Kobe U,
Wakayama U, Nara Institute of Tech
Companies More than 10 including Apt,
Intelligence, Aioi-Nissei-Dowa, etc.
Others ISM, NII, AIST, AIP

4. Duex has been selected as MEXT’s
Data related Human Resource Development Project
Period Yearly Budget for each Institute
2017.10 – 2018.3 70 M JPY (= 0.65 M USD)
2018.4 – 2019.3 140 M JPY (= 1.3 M USD)
2019.4 – 2020.4 140 M JPY (= 1.3 M USD)
2020.4 – 2021.3 140 M JPY (= 1.3 M USD)
2021.3 – 2022.3 140 M JPY (=1.3 M USD)
• Waseda U.
• U. of Electro-Communications
• Tokyo Medical & Dental U.
• Osaka U.
Ministry of Education,
Culture, Sports, Science
and Technology
Mission:
Develop leaders who take charge the statisticians around him.
棟梁
(August 2017)

5. 棟梁 is the leader of a specialist group
棟梁 should be a specialist
as well as a manager

6. Kick off Meeting of Duex @ Osaka U.
More than 100 participants (Oct. 7, 2017)

7. Machine Learning &Statistics Spring Camp @ Osaka U.
200 participants for each day (March 26-27, 2018 ).

8. • Hard to ask other to become 非常勤講師 (Part-Time instructor)
while more faculties are asking us to teach Statistics
(not just engineering, but almost all)
• Almost impossible to commute to Osaka U.
• The study material has been standardized
Why e-Learning in Statistics?

9. How to make an e-learning video
without spending money/time?
• discussing with the members who develop materials
• evaluate them in some steps:
Joe Suuki
Mathematics of Machine Learning and R Programming
Sparse Estimation and its Application to Machine Learning

10. Make a Video Course by Yourself: Low Cost/High Quality
• PC with Camera
• Camtasia Studio (video generation software)
• High-Quality Microphone
(using PC microphone makes the voice quality low)
• Music, Video, Image
(a free version is available)
• Narration Software reading texts
(could be used)
Without asking others to record voice and video
Prepare

11. Possible Steps for making a video using PowerPoint
1. Make slides using PowerPoint
2. Make a script for each PowerPoint page
3. Record your lecture: choose one of the two
3 a. Speak in front of PC using a microphone and proceeding with the slides
3 b. transfer the script files to voice files, and embed them to PowerPoint
4. Add the recorded video/voice to tracks in Camtasia Studio
5. Add the starting/ending videos, texts, effects to the tracks.
6. Finalize and wait for Camtasia Studio to generate the MP3 format.
7. Upload the video to your LMS, Youtube, etc.

12. 2. Make a script for each PowerPoint page
サンプル数Nに比べて、説明変数の
個数pの方が大きい状況を考えます。
問題点として、まず、2のp乗個の
モデルを比較する必要があります。
ここでいうモデルは、目的変数が
どの説明変数に依存するかという
ことです。また、pがNより大きい
と、最尤推定ができません。
Slide Script

13. 3. Make Voice Files using Narration Software
Blue Microphones Yeti USB
around 150 USD
Low-Cost High-Quality
Around 100 USD
Standard JP
/Kansai JPLeast Expensive JP Narrator

14. Why Script is needed even when you use microphone?
Un-huh come on um・・・、ah・・・ let’s see you know
Using narration software is reasonable:
always clean voice is obtained even when you tired.
A voice file (.wave) will be generated.

15. 4. Include Voice Files to PowerPoint

16. Each voice file is added to each slide page.

17. 5. Add Effects for changing the page

18. 6. Set up SlideShow

19. Camtasia Studio (200 USD/Licence)
https://www.techsmith.com/

20. 7. Camtasia Studio records
• PC Capture (page change timing and pointer)
• You (via PC camera)
YOU
Pointer

21. 8. Overlay Media in Tracks
• Intro/Ending Video
• Intro/Ending Music
• Text
• Other Video
• PC Camera
• PC Capture
Add necessary Effects

22. Choose your media
https://library.techsmith.com/assets contains free media.

23. 9. Add further effects on the tracks
• Changing the PC camera size
• Music Fade-in/out
• Add further texts
• Add effects when changing between PC camera and PC capture
Make one in your organization an expert.

24. 10. Make an MP4 format file
Takes Twice as long as the video duration.
For a video of 20 mins, it takes 40 mins to generate its MP4 file
Using Camtasia Studio.
You will obtain a video.

25. Where to Upload your video?
Learning Management
System (LMS)
Vimeo
• Password Protection
• The video file cannot be downloaded
• The uploaded file can be updated
• Detailed Access Analysis
• 70 USD/year

26. Tips for making videos
• Make your Power Point as good as possible
• Prepare Scripts
• Use Media as much as possible
To become a an expert:
Make video as many as possible

27. What Statistic Courses are available?
Machine Learning with R
Mathematical Finance
Finance with YUIMA R Package
Sparsity with Statistical Learning
Bio and Medical Statistics
Mathematics for Statistics
IoT and Statistics
Social Statistics
Multivariate Analysis
Economic Statistics
Information Geometry
Causality
Mathematical Medicine
Modeling for Data Science
(Basic) Statistics
A-I and A-II for Human and Social Sciences
B-I and B-II for BioStats
C-I and C-II for Engineers
Those courses are for Ph. D Students but the matrials are easy enough !

28. Concluding Remarks
• Duex: an organization of Data Science Education
• How to make an e-learning video: A Case Study
new
2019 Machine Learning & Data Science Spring Camp
will be held in Osaka, March 11-12, 2019