Introductory poster presentation to help compsci students select research lab.

1. Data analysis is a process consisting of several phases
and aimed at finding useful information. The following
is a series of steps, and each step is iterative.
Data collection is a phase in which necessary data is
obtained from various sources. The collected data is
called raw data, but it cannot be used as is. Data
processing and cleaning organize and correct data for
analysis, for example arranging data in tabular form or
removing outliers. Once the datasets are cleaned, we
can move on to the analysis. Analysists use a variety of
methods to understand data characteristics. At this
point, graphs are often
used to visualize and
help us better
understand the data.
Scientific computing: Data analysis
Why Lawson continues to sell the 31st
largest product in sales.
Although one of Lawson’s product, “Horoniga
Chocolate Blanc”, ranks 31st in the sweet bread sales
ranking, analysis of consumer data shows that 10% of
heavy users account for 60% of sales. Based on results
of analysis, Lawson continues to sell this product.
Exploratory data analysis (EDA)
EDA is a method used to actually analyze processed data. There are different
ways to understand the characteristics of the data. One example of this is taking
a statistical value such as mean, median, mode, variance and correlation
coefficient. By taking these values, we can understand broad trends in the
overall data.
In Lawson’s example, if they had only looked at the sales rankings, they would
have ended sales of that product. However, Lawson’s marketing department
placed the highest priority on repeat rate, not simple rankings. The results of
analysis based on this showed that some woman frequently repeat, and they
continued to sell in order not to miss out on important customers. As this
example, it is important in analysis to look at data from different perspective, not
just one.
In addition, visualization of data using
graphs is useful tool. Commonly used
graphs include the following.
・Box plot
・Histogram
・Scatter plot
・Run chart
・Heat map
・Bar chart

2. Mathematical Foundation
-Quantum Mechanics-
Hook
Everything around us is made of atoms.
Atoms consist of elementary particles.
Key details
1.Elementary particles have
mysterious property.
2. Application of Quantum
Mechanics
More details
1.Quantum Mechanics is the study of observing
the physical phenomena of its elementary
particles. At first, we thought light was a wave, but
when scientist shone light on metal, electrons
popped out. Scientist think that this phenomena is
light is wave and particle. This was the birth of the
quantum mechanics. In short, elementary particles
have two properties. It is very mysterious.
2.In fact, Quantum Mechanic of thinking is used in
modern society. Using computer system from
potential of elementary particles. So called
“quantum computer”. Other ways, Used in laser
technology applications.

3. Numerical Calculation
Hook
Numerical Calculation : To solve
problems with computers.
Key details
• Mathematics
• Physics
• Meteorology
More details
• In mathematics field, calculations of differential,
integral, Fourier transform and so on are
possible. With these knowledge, this
technique is applied to other fields.
• In physics field, by numerical
calculation, phenomenon of the real world can
be simulated. For example, RLC circuit can be
modeled with differential equation.
• In meteorology field, numerical
calculation is used to represent information
such as temperature, air pressure, humidity by
numerical values. By measuring these values
and solving equation using these
data, prediction of weather becomes possible.