E-learning Design and Development for Data Science in Osaka University

Joe SuzukiMathematical Science Division

Statistical MathematicsOsaka University

November 2, 2017Conference on Education of Data Science

at Shiga Univerity

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

Joe Suzuki as Educator

Problems of University Entrance Exam for Data Analysis

A list of authorsAnnounced bygovernment

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

KDC has been selected as MEXT’sData 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, Scienceand Technology

Mission:

Develop leaders who take charge the statisticians around him.棟梁

(August 2017)

棟梁 is the leader of a specialist group

棟梁 should be a specialistas well as a manager

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

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 teachingonly methodologies

Osaka U.Statistics 棟梁

Develop

PresidentProf. Takashi Suzuki,Osaka U.

Course A ManagerProf. Joe Suzuki, Osaka U.

Planning Lectures of StatisticsDeveloping e-learning courses

20172nd

20181st

20182nd

20191st

20192nd

. . . .

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.

• 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

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

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. StudentsWhy not for other U. Students ?

Not needed for just recording your lecture

Using a microphoneIs recommended to get High quality voice

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 videoto 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

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 StatisticsSocial StatisticsMultivariate AnalysisEconomic StatisticsInformation GeometryCausalityMathematical MedicineModeling 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 !

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.

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 existThe backup should be taken for the student data

Edx Blackboard

Provide the KDC Lectures to Mooc (in Future)

Only four lectures in Japanesewhile thousands of English lectures

Utilizing Mooc may help KDC well known.

Developing Team

6 RAs Profs.

KDC RA is to make the e-learning coursegiven teaching materials.In reality, the Profs are willing to make it.E-LEARNING COURSE

TEACHINGMATRIALS

REWARD

Profs. consider to enroll as many Ph.Dstudents as possible.

In Osaka University, the quality of education isoften measured by the number of Ph. D students.

Incentive for the people inside

Otherwise, nobody would have been willing to work for the project

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.

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

Featured Lectures

Finance with YUIMA R Package

Fukasawa, sekine, and Eguchi

Sparcity in Statistical Learning

Tanabe and J. Suzuki

This course deals with Lassoand generalizations. Very fewhave read through the bookthus far. In the world. Thecourse give most comprehensive explanations.

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