Top B Tech Colleges In Telangana

About CSE (AI&ML) Department

The Department of Computer Science and Engineering (CSE – AI&ML) was established in the year 2020 with the aim of providing inclusive technology education to students from all over India and the world and thereby creating responsible citizens who would contribute to the betterment of their families, society and nation.
The vision of CSE department is to emerge as a world class technology department through education, innovation and collaborative research.
The department has progressed with a vision and a strong commitment to developing competent programmers with uncompromising standard of excellence in the training, both class room sessions and hands on sessions, given to students.
The department has well equipped computing laboratories and a rich repository of software covering a wide spectrum of applications.

VISION

To achieve global standards of quality in technical educationwith the help of advanced resources and automated tools to bridge the gap between industry and academia.

MISSION

• Build the students technically competent on global arena through effective teaching learning process and world-class infrastructure.

• Inculcate professional ethics, societal concerns, technical skills and life-long learning to succeed in multidisciplinary fields.

• Establish competency centre in the field of Artificial Intelligence and Machine Learning with the collaboration of industry and innovative research.

Program Educational Objectives (PEOs)

The graduates of Computer Science and Engineering with Specialization in Artificial Intelligence &Machine Learning will be able to :

PEO 1. Domain Knowledge : Impart strong foundation in basic sciences, Mathematics , engineering and emerging areas by Advanced tools and Technologies.

PEO 2. Professional Employment : Develop Professional skills that prepare them for immediate employment in industry, government, entrepreneurship and Research.

PEO 3. Higher Degrees : Pursue higher studies and acquire masters and research.

PEO 4. Engineering Citizenship : Communicate and work effectively, engage in team work, achieve professional advancement, exhibit leadership skills, and ethical attitude with a sense of social responsibility.

PEO 5. Life Long Learning : Lead in their field and respond to the challenges of an ever-changing environment with the most current knowledge and technology.

Program Outcomes:

Engineering graduates will be able to:
Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective Presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary Environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes (PSOs)

The graduates of Computer Science and Engineering with Specialization in Artificial Intelligence &Machine Learning will be able to :

PSO1 Understand and Apply Multi-Disciplinary and core concepts with emerging technologies for sustaining (endorse) with the Dynamic Industry Challenges.
PSO2 Design Automated Applications in Machine Learning, Deep Learning,Natural Language Processing and Relevant Emerging areas for visualizing, interpreting the datasets.
PSO3 Develop Computational Knowledge, project and Interpersonal skills using innovative tools for finding an elucidated solution of the real world problems and societal needs.