VISION

• To produce excellent professionals in agricultural engineering through quality education, leadership skills and ethical values to serve the society.

MISSION

• Providing in-depth knowledge and applications of agricultural machineries and associated process with embedded technology.
• Developing multidisciplinary learning environment with leadership skills.
• Impart training in entrepreneurial and life skills for enhancing employability.

PROGRAM EDUCATIONAL OBJECTIVES(PEOs)

PEO1: Graduates shall become agricultural professionals with specialization in irrigation, farm equipments, post harvest and renewable energy along with automation.

PEO2: Graduates shall able to design and develop optimistic products for the benefits of farmer and society.

PEO3: Graduates shall have professional ethics, team spirit, life-long learning, adopt corporate culture, core values and leadership skills and communication skills.

PROGRAM SPECIFIC OUTCOMES (PSOs) 

PSO1: Professional skills: Students shall understand, analyze, design and develop agricultural equipments to meet the requirements of farmer and industry.

PSO2: Competency: Students shall qualify at the State, National and International level competitive examination for employment, higher studies and research.

PROGRAM OUTCOMES (POs)

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, societal, 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.

Profile

The Department of Agricultural Engineering was established in the year 2021, offers 4 years B.Tech- Agricultural Engineering course with an intake of 60 students. The department has well experienced and highly qualified faculty members, excellent infrastructure, ultra-modern buildings, well equipped laboratory facilities and career guidance. The department is established to develop professionals with the knowledge of modern farming, irrigation, farm mechanization, soil and water conservation, harvesting, renewable energy and crop production with IoT technology. The department is focusing on widening the practical knowledge of the students thus encouraging them to solve different practical difficulties in small-landholdings. The practical knowledge gained by them during practical field works and industrial visits has been added advantage for new technology and innovations. The department leads in the transfer of agriculture engineering and technology education to the younger generation on the right path to fulfill the career in agriculture and allied sectors.

Profile

Department of Artificial Intelligence and Data Science established in the academic year 2021-2022 with the intake capacity of 60 seats. This is an interdisciplinary branch of science, engineering and technology creating a complete system and a pattern shift in almost every sector of the technical industry, academics and research. The Curriculum and Syllabus is well designed by the team of experts to match the industry expectations. The program encompasses students to get expertise in critical skills such as Artificial Intelligence, Machine learning, Data Science, Advanced Analytics and Mathematical modeling.

Highlights of the Department

• Students centered Teaching Learning Process
• Focus on Experiential and Project Based Learning
• Parental care and Counseling
• Strong Industry Interface and Hands on Training to students
• In-house and Industry Internship opportunities
• State of the art infrastructure and cutting edge laboratories
• Excellent faculty student ratio.
• Online learning through NPTEL, Spoken Tutorial, etc.
• Focus on extracurricular activities.

PROGRAM EDUCATIONAL OBJECTIVES

PEO1: Graduates will be able to Artificial Intelligence professionals with expertise in the fields of Artificial Intelligence, Big Data Analytics and Data Science.

 PEO2: Graduates will be able to develop problem solving skills and ability to provide solution for real time problems.

 PEO3: Graduates shall have professional ethics, team spirit, life-long learning, communication skills and adopt corporate culture, core values and leadership skills.

PROGRAM SPECIFIC OUTCOMES (PSO's) 

PSO1: Professional skills: Students shall excel in software development including Artificial Intelligence technologies to solve complex computation task with soft skills.

PSO2: Competency: Students shall qualify at the State, National and International level competitive examination for employment, higher studies and research.

PROGRAM OUTCOMES (POs)

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, societal, 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.

Vision

To produce globally competent engineers in the field of Artificial Intelligence and Data Science with a focus on emerging computing needs of the industry and society.

Mission

• Enrich the students’ skills, knowledge with interdisciplinary skill sets by cognitive learning environment and industrial collaboration.
• Promote quality and value based education towards emerging computing needs of the industry and entrepreneurship skills among students.
• Provide for students with leadership qualities, ethical and human values to serve the nation and focus on students’ overall development.