History

Department of CSE (Artificial Intelligence and Machine Learning) was started in year 2021. The department has well qualified, devoted and dynamic team of 04 teaching staff member. A vibrant teaching – learning ambiance is maintained in the department through seminars, industry institute interaction etc. The department focuses on developing future software professional who strive towards inculcating good academic skills along with industrial exposure.

Mission:

• PEO1:To provide students with core proficiency in engineering, mathematics, science and technology to establish successful career path in their life.
• PEO2:To provide the students thorough knowledge to plan, analyze, design, develop and test AI and ML based solutions for real world problems
• PEO3: To inculcate among students, professionalism, ethical standards, effective oral and communication skills, leadership qualities, diverse professional environments emerging technologies
• PEO4: To explore innovative learning opportunities for application of knowledge to benefit society

1. Engineering knowledge: An ability to apply knowledge of mathematics, science and engineering fundamentals in the field of Computer Science to the solution of engineering problems
2. Problem analysis: An ability to design experiments, identify, formulate, analyze & interpret engineering problems in the field of Computer Science
3. Design & Development of Solutions: An ability to design solutions for engineering problems and design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
4. Investigation of Complex Problem: An ability to design software, performs experiments, analyzes and interprets the outcomes data to arrive at valid conclusions
5. Modern tool usage: An ability to use the techniques, skills, and modern engineering tools and softwares necessary for engineering practice
6. Engineer and society: The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context
7. Environment& sustainability: An ability to understand the impact of engineering solutions in social and environmental contexts and demonstrate knowledge of and need for sustainable development
8. Ethics: An ability to apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice
9. Individual and Team Work: An ability to function effectively as an individual, and as a member or leader in diverse teams and in multi disciplinary settings
10. Communication: An ability to communicate effectively about their domain in both verbal and written form
11. Project Management and Finance: Demonstrate knowledge and understanding of 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 to survive in Company/Organization or independently

1. Students should be able to understand the concepts and applications in the field of Computer Science Engineering (Artificial Intelligence and Machine Learning)
2. Students should be able to use engineering practices, strategies and tactics for the development, operation and maintenance of softwares
3. Students should posses the skills to communicate in both oral and written forms

• Course Outcome