Department of Computer Science (AI-ML)
About The Department
The Department of Computer Science and Engineering at ARTA was established in 2008. The department boasts state-of-the-art infrastructure and advanced computing facilities, supported by high-speed internet and seamless wireless connectivity.
Our department is a hub of modern instruction and cutting-edge research, fostering an innovative learning environment. We take pride in offering a research-friendly atmosphere enriched by high-quality education. Our distinguished faculty members, with vast experience in teaching and research, are dedicated to imparting top-notch knowledge and skills.
The department actively promotes industry-institute collaboration by encouraging students and faculty to engage in sponsored research projects and consulting services. By identifying key areas of interest and technological advancements, we aim to bridge the gap between academia and industry, ensuring our students remain at the forefront of technological evolution.
Prospects and Future of CSE
Since its introduction in engineering colleges, universities, and institutions, Computer Science and Engineering (CSE) has remained one of the most prestigious and competitive fields of study. India's thriving IT industry has significantly contributed to the global economy, strengthening the nation’s reputation and generating a large number of high-paying job opportunities for CSE graduates.
In the first year, CSE students will be introduced to fundamental engineering concepts similar to other engineering disciplines. From the second year onward, they will delve into core computer science subjects such as:
- Programming
- Advanced Data Structures
- Digital Logic Design
- Algorithms
- Computer Networks
- Operating Systems
- Web Technologies
- Databases
- Computer Architecture
Additionally, students will explore emerging and in-demand technologies such as:
- Cloud Computing
- Artificial Intelligence & Machine Learning
- Data Science & Deep Learning
- Image Processing
- Internet of Things (IoT)
- Cybersecurity & Blockchain Technology
With computing being integrated into almost every industry, CSE graduates enjoy a vast array of career opportunities. The high demand for computer engineers ensures job stability and growth. Furthermore, the field continues to attract research funding, motivating many students to pursue higher education and advanced research.
Vision
To create top-notch computer engineers who are well-versed with the latest tools and technologies, equipped to excel in the ever-evolving field of computing.
Mission
- M1 - Enhancing Programming Skills: Delivering quality education with a perfect blend of theoretical knowledge and practical applications.
- M2 - Promoting Career Growth: Encouraging students to pursue higher education, entrepreneurship, and industry employability.
- M3 - Fostering Innovation & Leadership: Developing creativity, multidisciplinary skills, leadership attributes, work ethics, societal responsibilities, and industry preparedness among students.
PEOs, POs, and COs – UG
Program Educational Objectives (PEOs)
- PEO's 1 - Strong Foundation: Provide graduates with a solid base in Computer Science & Engineering, along with essential Mathematics and Science principles to develop technical skills such as modeling, analyzing, designing, programming, and implementation.
- PEO's 2 - Technological Advancements: Equip students with the latest technological developments in programming, databases, compiler design, network security, and other emerging technologies.
- PEO's 3 - Career Readiness: Guide graduates in choosing a suitable career path, whether in employment, entrepreneurship, or higher education, while instilling ethical leadership skills.
- PEO's 4 - Interpersonal & Social Responsibility: Develop essential teamwork, communication, and social responsibility skills, enabling students to become effective team members and leaders.
Program Outcomes (POs)
- PO1 - Engineering Knowledge: Apply Mathematics, Science, and Engineering fundamentals to solve complex problems.
- PO2 - Problem Analysis: Identify, research, and analyze complex engineering issues using scientific principles.
- PO3 - Design & Development: Create solutions that meet societal, environmental, and industrial requirements.
- PO4 - Investigations: Utilize research methods and data analysis to reach valid conclusions.
- PO5 - Modern Tool Usage: Apply advanced engineering and IT tools with an understanding of limitations.
- PO6 - Engineer & Society: Assess societal, health, legal, and cultural responsibilities in professional engineering.
- PO7 - Environment & Sustainability: Understand the impact of engineering solutions on sustainability.
- PO8 - Ethics: Commit to ethical engineering principles and professional responsibilities.
- PO9 - Individual & Team Work: Work efficiently as an individual or team leader in multidisciplinary settings.
- PO10 - Communication: Effectively communicate engineering ideas and solutions through reports, presentations, and documentation.
- PO11 - Project Management & Finance: Apply management and finance principles to projects in multidisciplinary environments.
- PO12 - Life-long Learning: Develop skills for continuous learning in a fast-evolving technological landscape.
Program Specific Outcomes (PSOs)
Artificial Intelligence & Machine Learning (AIML) - PSOs
- PSO1: Utilize foundational AI knowledge to build intelligent systems using computational principles and techniques.
- PSO2: Develop AI-based solutions to address societal issues and challenges.