PEO1: Utilize the 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.
About the Department
B.Tech Artificial Intelligence & Data Science is an undergraduate programme with advanced learning solutions imparting knowledge in innovations such as Artificial Intelligence, which encompasses machine learning, deep learning and Data Science, which involves developing methods of recording, storing and analyzing data.
This course is devised to equip students to develop smart machines, applications and software with the latest combination of machine learning and visualization technologies. In recent years, data science has risen as one of the most dynamic, high-growth, and fruitful careers in technology. Data Science bring into play AI to generate predictions and also focuses on transforming data for analysis and visualizations. Hence to make the student fraternity to move towards the future, we have introduced this new course which is the need of the hour.
This course is for individuals who want to acquire the ability to design intelligent solutions to problems in a variety of domains and business applications such as natural language processing, image recognition and data analysis.
Objectives
- The program encompasses emerging areas in the field of Data Science, Data Engineering and Advanced Analytics through application-oriented and student-centric learning.
- The program fosters students to get expertise in critical skills such as Artificial Intelligence, Machine learning, Product development, scripting languages and Mathematical modeling.
- Acquire meaningful insights in the areas of natural language processing, text mining, robotics, reasoning and problem solving.
- Create and design intelligent solutions to real time Business applications.
Vision and Mission
Vision
Thrive as a center of excellence through teacher and learner-centered education, innovation and state-of-the-art research by providing skilled engineers to create a sustainable value-based society.
Mission
M1: To provide skill based education to master the students in problem solving and analytical skills
M2: :To enrich and empower student’s caliber through the best teaching-learning methodology to meet the demands of the corporate world.
M3: :To guide students in research with the aim of having an ethical impact on society
M4: Grooming professionals with high ethical values and ability to solve real-life problems.
Program Educational Objectives (PEOS)
PEO2: Advance the 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.
PEO3: Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
PEO4: Design and model AI based solutions to critical problem domains in the real world.
PEO5: Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.
Program Outcomes (POs)
PO1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2 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.
PO3 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.
PO4 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.
PO5 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.
PO6 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.
PO7 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.
PO8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10 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.
PO11 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.
PO12 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)
Graduates should be able to:
- evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
- arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems
- 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
- 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.
- able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.
