VISION:

To Achieve excellent standards of quality-education by using the latest tools, nurturing collaborative culture and disseminating customer oriented innovations to relevant areas of academia and industry towards serving the greater cause of society.

MISSION:

• To develop professionals who are skilled in the area of Artificial Intelligence and Data Science.
• To impart quality and value based education and contribute towards the innovation of computing, expert system, Data Science to raise satisfaction level of all stakeholders.
• Our effort is to apply new advancements in high performance computing hardware and software.

Program Educational Objectives (PEOs)

A graduate of the CSE (ARTIFICIAL INTELLIGENCE & MACHINE LEARNING) Program should:

PEO 1: Students will demonstrate their ability to adapt to a rapidly changing environment by having learned
   and applied new skills and new technologies.

PEO 2:  Apply appropriate theory, practices, and tools to the specification, design, implementation, maintenance,
and evaluation of computing and artificial intelligence in the workplace.

PEO 3: Graduates will use their knowledge and skills to grow in their careers, to pursue higher studies and become entrepreneurs.

Program Specific Outcomes (PSOs)

A graduate of the CSE (ARTIFICIAL INTELLIGENCE & MACHINE LEARNING) Program will:

PSO 1: The ability to understand, analyse and demonstrate the knowledge of human cognition, Artificial  Intelligence, Machine Learning and data engineering in terms of real world problems to meet the
challenges of the future.

PSO 2: Graduates will be able to develop software applications and products in specialized areas of Artificia  Intelligence and Machine Learning.

Program Outcomes (POs)

PO 1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 2: Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO 3: 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, societal, and environmental considerations.

PO 4: 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.

PO 5: 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.

PO 6: 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.

PO 7: Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of need for sustainable development.

PO 8: Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.

PO 9: Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society. Some of them are, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO 11:  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.

PO 12: Lifelong Learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change

Course Outcomes (CO)

HOD

Mrs. K Divya

Mrs K Divya currently working as a Asst.Professor and Heading the department of CSE(Artificial Intelligence & Machine Learning). She received B.Tech degree from JNTUH Hyderabad,M.Tech degree from JNTUH Hyderabad.She is having over 08 Years of teaching experience. She is a Life time member of IAENG. She acted as a resource person for various workshops, FDPs and STTPs in various institutions She organized several guest lectures, workshops, FDPs. She was completed several online certification courses.

All the Staff are Ratified by JNTUH

Computer Science Engineering (AIML)- Labs

Attendance & Monitoring Committee:

This committee is headed by head of the Department and is assisted by two Associate Professors. The task of this committee is ensure that the students are regular to the college. For this, the attendance status of every class is taken in the second working hour, the absent student’s parents are communicated, and follow-up action is taken.

Training & Placement Committee:

The Training & Placement Committee is an interface between the students and the training and placement office. The database of students is maintained by the committee and during the placement drive, one of the committee member will assist TPO and ensure that all the meritorious students in the departments are taken care of placement.

Committee for Student Performance Evaluation:

The task of this committee is to identify students whose performance is below 70 percentile in the first and second internal assessment exams. Once the students are identified, their parents are called for and need based counseling is done for the students in presence of their parents. The main objective of this is to ensure that the average performers are taken proper care of and their performance improved and in the process improving the pass percentage.