Foundational Skills for Academic Research

This presentation discusses the foundational skills required for academic research in the field of Artificial Intelligence. It covers the problem of the study, theoretical basis, logical reasoning, methodology used, findings, limitations, future research directions, and opinions about the study. The presentation emphasizes the importance of artificial intelligence in computer science and its role in improving learning and study.

Foundational Skills for Academic Research
(Artificial Intelligence stream of computer science )

Table of content
Problem of the study
Theoretical basis
Logical reasoning
Methodology used in the paper
Findings of the study
Limitations and future research direction
Opinion about the study

Problem of the study
One of the main issue is Covid 19 because during this
situation educational industry are closed and no one
are able in increasing their learning.
 In this situation, Artificial intelligence played an
important role by solving the issue of students who
have computer science stream.

Theoretical basis
The role of artificial intelligence is optimum in field of
computer science. This not help to perform the activities in
effective manner but providing an opportunity bring great
changes so able to deliver the preferable number of
outcomes.
The aspect of artificial intelligence improves the process of
automation along with speed of work.
This simultaneously aid in improvement of speed through
which able to perform multiple functions effectively.

Logical reasoning
The role of artificial intelligence is immense in computer science
from the diversified point of views. The aspect that justifies same is
speed, multiple functioning and improved functioning.
This not only improves internal working speed but add new working
abilities within personnel's.
The another point that justifies the importance of Artificial
intelligence is its capability to do beyond of the existing working
practices so able to deliver exceptionally better from the original
features.

Methodology used in the paper
In this paper, qualitative research methodology was
used that is effective because it helps in getting of in-
depth information regarding the significance of
artificial intelligence in computer science.
There are different number of secondary sources used
within the article which are books, articles, books,
journals etc.

Findings of the study
From the findings mentioned in the article, it has been
found out that artificial intelligence is important and
beneficial for computer science students in its study
and learning.
It has been identified that artificial intelligence is
useful technology and not take maximum time as well
as assist in learning.

Limitations and future research direction
There are different limitations such as lack of time, cost,
resources etc. These are major limitations that had
negative impact over the performance of researcher.
There are some future research directions such as
importance of artificial intelligence in improving learning
of computer science students, issues faced by computer
science students during Covid 19 etc.

Opinion about the study
The main opinion having by me regarding this study is
ability of ability of artificial intelligence in improvement of
the working of computer science aspects.
This brings automation in process along with allow to
perform multiple functions at single time.
 I have the opinion that it is must for each and everyone to
establish scenario artificial intelligence in working for
improvement of the overall offering and services.

References
Maddox, T.M., Rumsfeld, J.S. and Payne, P.R., 2019.
Questions for artificial intelligence in health
care. Jama, 321(1), pp.31-32.
Venkatasubramanian, V., 2019. The promise of
artificial intelligence in chemical engineering: Is it
here, finally?. AIChE Journal, 65(2), pp.466-478.