OVERVIEW

 
       Department of Artificial Intelligence aims to produce computing graduates with high potency, apply, design and develop systems to pertain and to integrate both software and hardware devices, utilize modern approaches in programming and problem solving techniques. The Department was established in the year 2020 with the main objective of providing quality education in the field of Engineering and Technology. It is recognized as nodal center under Anna University. The Department has proved to be a center of excellence in Academic, Sponsored research and Continuing Education Programme.

Important courses

• Artificial Intelligence

• Cloud Computing

• Big Data Analytics

• Machine Learning Techniques

• Robotic Process Automation

• Internet of Things

• Data Visualization

• Natural Language Processing

• Programming for Problem Solving

• Python Programming

• Object Oriented Programming

• Web Technology

• Computer Communication Networks

• Cryptography and Network Security

• Data Structures and Algorithms

• Database Management Systems

• Distributed Computing

This program prepares the students for career as

• Business Analyst

• Data Analyst

• Intelligence Analyst

• Data Manager

• Information Security Analyst

• Risk Analyst

• Software Developers

• Hardware Engineers

• System Design Engineer

• System Analyst and Architect

• Networking Engineers and Administrators

• Database Administrator

• web developer

Vision:

To uphold aspirants by imparting cognitive learning environment with continuous education, research and industrial collaboration to become inventive in Artificial Intelligence and Data Science Eminent.

Mission:

• To provide Skill Based Education to master the students in problem solving and analytical skills to enhance their niche expertise in the field AI and Data Science.

• To educate the students with latest technologies to update their knowledge in the field of AI and Data Science

• To enable students to experience the Content Based Learning with premier quality data science education, research and industrial collaboration

• To guide students in research on Artificial Intelligence and Data Science, with the aim of having an ethical impact on society by tackling societal grand challenges

I.PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

Graduates can

1. Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.

2. Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.

3. Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.

4. Design and model AI based solutions to critical problem domains in the real world.

5. Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

II.PROGRAM OUTCOMES (POs)

Graduate Attribute

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 in dependent and life-long learning in the broadest context of technological change.

 III. PROGRAM SPECIFIC OUTCOMES (PSOs)

Graduates should be able to:

1. Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.

2. Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems.

3. Create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems.

4. Develop data analytics and data visualization skills, skills pertaining to knowledge acquisition,knowledge representation and knowledge engineering, and hence be capable of coordinating complex projects.

5. Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.