November 2, 2017, Conference on Education of Data Science at Shiga Univerity

1. E-learning Design and Development
for Data Science in Osaka University
Joe Suzuki
Mathematical Science Division
Statistical Mathematics
Osaka University
November 2, 2017
Conference on Education of Data Science
at Shiga Univerity

2. Joe Suzuki as Researcher
Uncertainty in Artificial Intelligence, August 12-15, 2017
“Branch and Bound for Regular Bayesian Network Structure Learning”
Joe Suzuki and Jun Kawahara
Probabilistic Graphical Models, Machine Learning, Information Theory
Mathematician rather than Statistician

3. Joe Suzuki as Educator
Problems of University Entrance Exam for Data Analysis
A list of authors
Announced by
government

4. Kansai Data related Human Resource Development Consortium
(KDC) was established in October 2017
KDC 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

5. KDC 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)

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

7. Kick off Meeting of KDC at Osaka U., Oct. 7, 2017
More than 100 participants

9. Statistics in Osaka University
MMDS (Center for Mathematical Modeling and Data Science)
Many well known Professors by their Statistics Research
Math Logic is crucial in Statistics.
Methodologies of Statistics are changing
Do not believe the currently used methods.
Learn the bottom that does not change.
Do not use any statistical fact you cannot prove.
Schools teaching
only methodologies
Osaka U.
Statistics 棟梁
Develop

10. President
Prof. Takashi Suzuki,
Osaka U.
Course A Manager
Prof. Joe Suzuki, Osaka U.
Planning Lectures of Statistics
Developing e-learning courses
2017
2nd
2018
1st
2018
2nd
2019
1st
2019
2nd
. . . .
e-learning 0 5 15 25 30
classroom 30 25 15 5 0
e-learning will gradually replace on-site
Osaka University is the main
host of the KDC.

11. • 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)
• The study material has been standardized:
• R language Exercises are fit to the LMS (learning management system)
Why e-Learning in Statistics?
Statistics I Statistics II
Probability and Independence Parameter Estimation
Random Variables and their Distributed Functions Least Square Estimation
Density Functions Hypothesis Testing of Expectation and Variance
Distributions and their Transformations Confident Interval of Estimation
Expectation, Variance, and Covariance Chi-square Testing
Law of Large Numbers & Central Limit Theorem Anova

12. Why e-Learning in KDC?
• Without it, students outside Osaka U. should visit there every week.
It is impossible for Shiga U. students to physically attend classes at Osaka U.
• Not so many statistics teachers are in each university except a large university.
Why more than one university teach the same materials of statistics?
• Company people prefer university materials to commercial learning products.
Less expensive and reliable.
• Budget will be terminated in five years, so that revenue should be considered.
Statistics MOOC in Japan

13. Why not give students Video rather than Text?
Most Students
can NOT understand a written explanation
can often understand the same information in the form of a video
I give complicated materials via video for Osaka U. Students
Why not for other U. Students ?
Not needed for just recording your lecture
Using a microphone
Is recommended to
get High quality voice

14. Camtasia Studio (200 USD/Licence)
https://www.techsmith.com/
1. Make a Powerpoint slide
2. Record your lecture
(capture your PC Screen)
3. Add animation, music, other video
to Camtasia Studio track
(If you need, replace your voice
by a narrator’s)
A high quality learning video can be generated, better than most Coursera courses.
You do not have to pay to companies that produce learning materials

15. 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 !

16. e-learning Materials
• Recording actual Classes by Video
• PowerPoint + Voice + Effects
For each Course
1 Term (Seven Classes x 90 mins, 1 unit)
Actually 15-20 mins x 2-3 video for each
Schooling
Exercises for each time
A couple of 15-20 min videos each time
Quiz for each video
2018 1st 2018 2nd and later
Learning Management System
(Blackboard)
Learning Management System
(Moodle)
Supposed to be for Ph.D Students.
Easy enough even for Bachelor Students.

17. Moodle: a Learning Management System
Pros
Long history and many users
(fewer bugs, good interface)
Japanese works well
Open Source (No fee)
Cons
Close System, not a Mooc system
Open Source
Its server should be managed
Bugs exist
The backup should be taken for the student data
Edx Blackboard

18. Provide the KDC Lectures to Mooc (in Future)
Only four lectures in Japanese
while thousands of English lectures

19. Utilizing Mooc may help KDC well known.

20. Developing Team
6 RAs Profs.
KDC RA is to make the e-learning course
given teaching materials.
In reality, the Profs are willing to make it.E-LEARNING COURSE
TEACHING
MATRIALS
REWARD
Profs. consider to enroll as many Ph.D
students as possible.
In Osaka University, the quality of education is
often measured by the number of Ph. D students.
Incentive for the people inside
Otherwise, nobody would have been willing to work for the project

21. Why go to classroom?
The experience in KDC may change the whole Osaka U. Statistics
Replace the existing lectures by their e-learning
• .
Happy Life may come to us!
They do not have to ask 非常勤講師 (Part-Time instructor) anymore
The assistant researchers check the Problem tasks submitted by students
The number of classes to teach may be reduced.
Be careful: this might be your own goal
The HQ of Osaka U. may reduce the number
of academic posts of Statistics.
In fact, some U. English teachers lose jobs by Mooc.

22. Goal: increase Ph.D Students
Osaka U. HQ and MEXT evaluate out education
not by the evaluations by the students
but how many Ph.D students are there
In Japan, Ph. D students are not being paid
Few students proceed to Ph.D
Master Course Students who declare to proceed to Ph.D 10万円 (900 USD)/ mon
Ph. D Students 15万円 (1350 USD)/mon
Strategy: Pay cash to Students to get more Ph.D Students than other Universities

23. Featured Lectures
Finance with YUIMA R Package
Fukasawa, sekine, and Eguchi
Sparcity in Statistical Learning
Tanabe and J. Suzuki
This course deals with Lasso
and generalizations. Very few
have read through the book
thus far. In the world. The
course give most
comprehensive explanations.

24. Conclusion
KDC has just started developing e-learning courses.
Main Concerns
1. 30 e-learning Courses can be developed in a year and half?
2. How many students can attend the e-learning courses?
3. In five years, does the revenue exceed the expenses so that KDC can continue?
We are happy if our activiy
1. gives some insights to people who wish to improve statistics education
2. gives chances to study statistics for as many people as possible