HACARUS held a special lecture at Shiga University

HACARUS Held A Special Lecture At Shiga University

On December 17, 2020, HACARUS’ data scientists gave a special lecture to master’s students at the Graduate School of Data Science at Shiga University.

The Graduate School of Data Science, Shiga University was established in April 2019 with the goal of developing “data specialists with knowledge of multiple fields, connect methodologies and data, and create value”, and is the first graduate school in data science in Japan.

Data scientists from HACARUS gave the lecture as part of the intensive course by Professor Kaoru Kawamoto.

Under the theme of “utilization of machine learning in visual inspection at manufacturing sites”, HACARUS’ data scientists spoke to the students attending the lecture online. The lecture was held for the second time following 2019, with added contents such as image processing and machine learning.

HACARUS’ data scientists explained what kind of problems could occur in the real-life project of machine learning and data analysis, using the visual inspection project as an example.

There are many opportunities for students to learn about technical matters such as specific methods of machine learning in usual lectures. However, problem-solving during real-life projects often requires more than technical knowledge alone. Therefore, the focus of this lecture was on the issues that are often seen in actual projects, such as;

  • Not enough data on defective products
  • You can’t afford to overlook defective products
  • The definition of defective products is ambiguous
  • Strict demand for lead time
  • Extremely strict data security
  • Strong accountability
  • False expectations

Students had the opportunity to think about how they could deal with these issues that they may face in the actual progress of the project, with real examples and exercises provided by HACARUS.

Here are some comments from the attendees of the lecture:

It was a good opportunity to reconsider the way our services should be. The simulated experience of analysis work using image data was also interesting.

The experience of learning from actual events that occur in the company was truly meaningful, as it is difficult to use Python in a hands-on setting at university.


The lecture was a great success, despite being held online due to the situation regarding COVID-19. We hope to keep contributing to the education of future data scientists through sharing our experiences and thoughts.


(Written by Yoshihiko Iwao, Data Scientist at HACARUS)


Takashi Someda

CTO of Hacarus. Has over 15 years experience as a software and server engineer in several global SaaS startups. Currently working hard to make something new with machine learning. Holds masters degree in Information Science at Kyoto University.

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