The Department of Computer Science and Engineering in Artificial Intelligence and Machine Learning (CSE – AI & ML) was established in the year 2021 with an intake of 60. Over the years, it has grown by leaps & bounds and the current intake is 300.

AI&ML— Artificial Intelligence (AI) and Machine Learning (ML)—represents an important evolution in computer science and data processing that is quickly transforming a vast array of industries. Artificial intelligence (AI) refers to the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence.

Machine learning is a specific form of AI that allows computers to learn and grow after they are introduced to scenarios in the form of data. As businesses and other organizations undergo digital transformation, they’re faced with a growing tsunami of data that is at once incredibly valuable and increasingly burdensome to collect, process and analyze. New tools and methodologies are needed to manage the vast quantity of data being collected, to mine it for insights and to act on those insights when they’re discovered.

Artificial intelligence and machine learning give organizations a way to extract value out of the troves of data they collect, delivering business insights, automating tasks and advancing system capabilities. AI/ML has the potential to transform all aspects of a business by helping them achieve measurable outcomes including: Increasing customer satisfaction, offering differentiated digital services, Optimizing existing business services, Automating business operations, increasing revenue and reducing costs.

NEWS LETTER (CSM) : 2025    2024(Jan-June)    2024(July-Dec)    2023(Jan-June)    2023(July-Dec)  2022

Magazine (CSB) : June-2025     June-2024    Dec-2024

Vision:

The department aims to become a leader in the field of education, training and research in emerging technologies of computer science with managerial skills and social values.

Mission:

M1: To facilitate competent industry relevant education through teaching learning process.

M2: To inculcate interest on research and innovation through critical thinking.

M3: To impart values and ethics for prospective and promising engineering.

Program Outcomes:

Engineering Graduates will be able to:

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. 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.
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.
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.
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.
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.
7. 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.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. 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.
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.
12. 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:

Students will be able to

PSO1: Design, Identify and Apply Computing techniques and resources for solving real time engineering problems.

PSO2: Identify and Understand the emerging tools of Artificial Intelligence and Machine Learning.

PSO3: Understand algorithmic analysis and decision making skills in the field of Artificial Intelligence and Machine learning.

 Program Educational Objectives:

The Program Educational Objectives (PEOs) of the under graduate programme in CSE- Artificial Intelligence (CSM) and Machine learning at G. Pulla Reddy Engineering College (Autonomous) Kurnool are to prepare graduates to possess the ability to

PEO1: Analyze, Design and Develop computer based systems and applications using emerging areas of computer Science.

PEO2: Be engineering professionals, innovators, entrepreneurs engaged in their profession with social awareness and ethical values.

PEO3: Work in teams in multi-disciplinary areas to address the needs of society.

PEO4: Adapt to emerging technologies by engaging themselves in lifelong learning.