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DATA SCIENCE

Data science is a multidisciplinary blend of records inference, algorithmm development, and generation if you want to solve analytically complicated troubles.

BIG DATA

Big records may be analyzed for insights that result in better selections and strategic commercial enterprise actions.

BUSINESS ANALYSIS

Business analysis is the exercise of enabling change in an organizational context, by way of defining needs and recommending answers that deliver cost to stakeholders.

Latest News

Catch up, our activities!

Academic Service to the Office of the National Digital Economy and Society Commission (ONDE)

(Updated!!) May 2018, A workshop on Reviewing and Enhancing ASEAN ICT Skills Standard is to be hosted on 2-3 July 2018 with an aim to consider a skill standard in 3 areas respect to[…]

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Academic service to the Office of the University Registrar (Assumption University)

March 2018, IDL presented data analytic results (based on AU’s students intakes for the past five years) to the University Registrar, Dr. Soonthorn Pibooncharoensit. Details can be found here. For[…]

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Big Data with 8 V’s – 5 Things You Need to Know About Big Data

https://www.kdnuggets.com/2018/03/5-things-big-data.html

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About us

INTELLIGENT DATA ANALYTICS LABORATORY

Intelligent Data Analytics Laboratory (IDL) at Assumption University focuses on Data Science, which of course includes data management, data mining, data analysis and visualization. 

Getting start with Data Science!

What kind of components that included in our research?

PROGRAMMING

Programming language semantics and syntax are used when constructing an utility. Thus, programming requires knowledge of software domain names, algorithms and programming language expertise.

LINEAR ALGEBRA

A Linear Programming model seeks to maximize or
minimize a linear function, subject to a set of linear
constraints.

DATA VISUALIZATION

Today’s data visualization tools go beyond the standard charts and graphs used in Microsoft Excel spreadsheets, displaying data in more sophisticated ways.

STATISTIC

It’s far crucial to apprehend the thoughts behind the various techniques, if you want to realize how and when to apply them.

DATA MINING

It is important to understand the ideas behind the various techniques, in order to know how and when to use them.

MACHINE LEARNING

Machine gaining knowledge of is an utility of synthetic intelligence (ai) that offers systems the ability to routinely research and improve from revel in without being explicitly programmed.

Research

To be updated

Training

Introduction to data analysis with SPSS

Starts January 2018

Meet our team

Let’s us introduce labaratory team members, who currently working here.

Asst.Prof.Dr.Thanachai

Faculty member, Director

Asst.Prof.Titida

Faculty member

Asst.Prof.Paitoon

Faculty member

A.Chayapol

Faculty member

Asst.Prof.Dr.Jirapun

Honourary Advisor

Mr.Kittisak

Ungraduate member

Mr.Krisanapat

Ungraduate member

Mr.Pon-Ake

Ungraduate member

Mr.Prasong

Ungraduate member

Mr.Tanus

Ungraduate member

Interest? Join us!

Contact us

If you have question or you want to contact our team member, in the case that you cannot meet them. Please send us your message.