Applied sciences

What are the applied sciences?

The word applied in applied sciences and professional science refers to how scientific and professional skills are used in jobs and professions.

In other words, it means applying scientific knowledge to a physical environment.

Applied science – the discipline dealing with the art or science of applying scientific knowledge to practical problems; “he had trouble deciding which branch of engineering to study

[caption id="attachment_447" align="aligncenter" width="1280"]Applied science Applied science[/caption]

This is what we call vocational training, in which you receive special training for specific occupations. So when you decide to enroll in a bachelor’s or master’s degree in this field, you have chosen your future job and will be trained to prepare for it.

Once you have chosen a particular profession or science as your future job, then you will take courses that will prepare you for the skills related to that job.

What professions need vocational training?

  • Forensic medicine
  • Librarianship
  •  Real estate consultant
  •  Social work assistance
  • Nursing
  • And …

You can’t learn these skills on your own!
So once you get a degree in this type of job, you will be directly employed to practice your acquired skills.

The field of applied and professional sciences alone is not a field in itself. Therefore, you must choose a profession or science and apply your knowledge in that direction and work in it.

Applied science

Applied science is a discipline that applies existing scientific knowledge to develop more practical applications, such as technology or inventions. Within natural science, disciplines that are basic science also called pure science, develop information to predict and perhaps explain—thus somehow understand—phenomena in the natural world. Applied science applies basic science to practical endeavors. Applied science is typically engineering, which develops technology, although there might be feedback between basic science and applied science: research and development. Medical sciences, for instance medical microbiology and its clinical virology, are applied sciences that apply biology toward medical knowledge and inventions, but not necessarily medical technology, whose development is more specifically biomedicine or biomedical engineering. Applied science can also apply formal science, such as statistics and probability theory, as in epidemiology. Genetic epidemiology is an applied science applying both biological and statistical methods.

 

About KSRA

The Kavian Scientific Research Association (KSRA) is a non-profit research organization to provide research / educational services in December 2013. The members of the community had formed a virtual group on the Viber social network. The core of the Kavian Scientific Association was formed with these members as founders. These individuals, led by Professor Siavash Kaviani, decided to launch a scientific / research association with an emphasis on education.

KSRA research association, as a non-profit research firm, is committed to providing research services in the field of knowledge. The main beneficiaries of this association are public or private knowledge-based companies, students, researchers, researchers, professors, universities, and industrial and semi-industrial centers around the world.

Our main services Based on Education for all spectrums people in the world. We want to make an integration between researches and educations. We believe education is the main right of Human beings. So our services should be concentrated on inclusive education.

The KSRA team partners with local under-served communities around the world to improve the access to and quality of knowledge based on education, amplify and augment learning programs where they exist, and create new opportunities for e-learning where traditional education systems are lacking or non-existent.

AI4COVID-19: AI enabled preliminary diagnosis for COVID-19(pandemic) from cough samples via an app

AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app

Abstract Methods Cough is a symptom of over thirty non-COVID-19 related medical conditions. This makes the diagnosis of a COVID-19 infection by cough alone an extremely challenging multidisciplinary problem. We […]

AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app Read More »

Implementation of Principal Component Analysis on Masked and Non-masked Face Recognition

Implementation of Principal Component Analysis on Masked and Non-masked Face Recognition

Abstract This paper represents an implementation of Principal Component Analysis (PCA) on masked and non-masked face recognition. Security is an essential term in our today’s life. In various Biometric technology,

Implementation of Principal Component Analysis on Masked and Non-masked Face Recognition Read More »

Involving End-Users in HCI Education: A Case Study and Steps Forward

Involving End-Users in HCI Education: A Case Study and Steps Forward

Abstract Users are at the core of HCI—they are the focus of our designs, evaluations, and HCI pedagogy; however, limited research exists on how HCI/design students engage with end-user populations

Involving End-Users in HCI Education: A Case Study and Steps Forward Read More »

Opportunities and Challenges in Involving Users in Project-Based HCI Education

Opportunities and Challenges in Involving Users in Project-Based HCI Education

ABSTRACT Users are fundamental to HCI. However, little is known about how HCI education introduces students to working with users, particularly those different from themselves. To better understand design students’

Opportunities and Challenges in Involving Users in Project-Based HCI Education Read More »

Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence

Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence

Abstract The intelligent industrial environment developed with the support of the new generation network physics system (CPS) can realize the high concentration of information resources. In order to carry out

Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence Read More »

An Unsupervised Deep Learning Model for Early Network Traffic Anomaly Detection

An Unsupervised Deep Learning Model for Early Network Traffic Anomaly Detection

Abstract Various attacks have emerged as the major threats to the success of a connected world like the Internet of Things (IoT), in which billions of devices interact with each

An Unsupervised Deep Learning Model for Early Network Traffic Anomaly Detection Read More »

Investigating Academicians’ Use of Tablet PC from the Perspectives of Human Computer Interaction and Technology Acceptance Model

Investigating Academicians’ Use of Tablet PC from the Perspectives of Human Computer Interaction and Technology Acceptance Model

Abstract This phenomenological study examines academicians’ beliefs and lived experiences of using tablet PC based on the Human-Computer Interaction (HCI) and Technology Acceptance Model (TAM). Participants included 15 academic staff

Investigating Academicians’ Use of Tablet PC from the Perspectives of Human Computer Interaction and Technology Acceptance Model Read More »