MASTER GROUP OF INSTITUTIONS _ DAY 1 (62) (2)

Department of Artificial Intelligence and Data Science

About Department

Artificial Intelligence, known as AI, and Data Science as DS, has become the two most important sought after technologies in today’s time. Artificial Intelligence and Data Science is everywhere and there is almost an urgent need to collect and preserve any data that is being generated. This is why analytics is in the frontier of IT and has become crucial today as it aids in improving business, decision making and providing the biggest edge over the competitors. Building human-level thought processes through the creation of artificial intelligence (AI) is the state-of-the-art in Computer Science. Intelligent machines are influenced by emerging technologies, smart devices and sensors, computing power, faster data processing, huge storage and human-machine interaction capabilities.

Similarly, Data Science is an interdisciplinary field with the ability to extract knowledge / insights from data – be it structured, unstructured, or semi-structured data. Twinned with Artificial Intelligence, more efficient solutions to find meaningful information from huge pools of data are possible today, with data from multiple sources – sensors, images, streaming video, satellite, medical imagery and the cloud. This B.Tech program has a comprehensive coverage of applied mathematics used in data science and artificial intelligence while preparing the students to analyze, design and experiment solutions to problems.

Vision

To produce excellent professionals in Artificial Intelligence and Data Science, emphasizing technical excellence, ethics, social responsibility, and alignment with industry and societal needs.

Mission

To Provide the ambience to become industry ready Professionals, Researchers and Entrepreneurs by offering courses on cutting edge technology for the students.

To strengthen the Industry-Academia interface that will help the graduates to cater the real time requirements of the Industry.

To transform lives of the students by nurturing leadership qualities, ethical and human values to serve the National needs.

To in still in pupils a desire to learn constantly in a connected to address societal issues.

To develop problem solving and team building skills to promote the sense of societal and ethical responsibilities

Programe Educational Objectives(PEO)

To make the students to have a successful career in the field of Artificial Intelligence and Data Science and Research.
To enhance graduates’ capacity and inclination for learning new skills and becoming proficient in technology.
To develop the graduates’ professional ethics so they can advance society through their job.

PROGRAM OUTCOMES (POs)

Engineering Graduates will be able to

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

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 modelling 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, and need for sustainable development.

PO 8 Ethics: Apply ethical principles and commit to professional ethics and 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 at large, such as, 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 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(PSOs)

Apply fundamental knowledge in the analysis and design of various functional systems in the field of Deep learning, Machine learning and Data Analytics.