Artificial Intelligence & Data Science

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About the department

Students in this department engage in rigorous coursework and hands-on projects, allowing them to develop the technical skills necessary for analyzing complex datasets and creating intelligent systems. State-of-the-art laboratories and access to modern tools and software provide an immersive learning environment.

The faculty consists of experienced professionals and researchers who are committed to fostering innovation and encouraging students to participate in cutting-edge research. Collaborations with industry partners enhance learning opportunities, offering insights into real-world applications and trends.

The department prepares graduates for a wide range of career opportunities, including roles in data analysis, machine learning engineering, and AI development. With a focus on critical thinking and problem-solving, students are equipped to tackle contemporary challenges and contribute meaningfully to the evolving field of artificial intelligence and data science.

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Vision & Mission

Vision

To be a leading department in Information Technology, recognized for excellence in education, research, and innovation, while empowering students to become proficient professionals who drive advancements in technology and effectively address the challenges of a digital world.

Mission

To provide a comprehensive education in Artificial Intelligence and Data Science that equips students with the technical skills, analytical thinking, and ethical values necessary for successful careers.

Program Educational Objectives (PEOS)

Technical Expertise

Graduates will possess a solid foundation in computer science principles, enabling them to design, develop, and implement innovative software solutions.

Problem-Solving Skills

Graduates will demonstrate the ability to analyze complex problems and apply computational thinking to develop effective solutions in diverse domains.

Professional Growth

Graduates will engage in lifelong learning and continuous professional development, staying current with emerging technologies and industry trends.

Team Collaboration

Graduates will effectively collaborate in diverse teams, utilizing strong communication and interpersonal skills to contribute to group projects and initiatives.

Ethical and Social Responsibility

Graduates will understand the ethical implications of technology and demonstrate a commitment to responsible practices that consider societal impacts and sustainability.

Program Outcomes (POS)

Engineering Knowledge:

Apply knowledge of mathematics, science, and engineering principles to solve complex problems in electronics and communication engineering.

Problem Analysis:

Identify, formulate, and analyze complex engineering problems to reach substantiated conclusions using first principles of mathematics and engineering sciences.

Design and Development:

Design solutions for complex engineering problems, considering public health, safety, and environmental considerations, while adhering to relevant standards.

Investigation:

Conduct investigations of complex problems using research-based knowledge and methods, including design of experiments, analysis, and interpretation of data.

Modern Tools Usage:

Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex engineering activities.

Societal Impact:

Understand and assess the societal, health, safety, legal, and cultural issues relevant to professional engineering practice and sustainable development.

Environment and Sustainability:

Recognize the need for and engage in lifelong learning, understanding the impact of engineering solutions in a global, economic, environmental, and societal context.

Ethics:

Apply ethical principles and commit to professional ethics and responsibilities, as well as norms of engineering practice.

Teamwork:

Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.

Communication:

Communicate effectively on complex engineering activities with the engineering community and with society at large, including being able to comprehend and write effective reports and design documentation.

Program Specific Outcomes (PSOs)

  • Machine Learning and AI Applications:Graduates will be able to design, implement, and evaluate machine learning models to solve complex problems across various domains.
  • Data Analysis and Visualization:Graduates will possess the skills to analyze large datasets, extract meaningful insights, and effectively communicate findings through data visualization techniques.
  • Statistical Methods and Data Mining:Graduates will understand and apply statistical methods and data mining techniques to uncover patterns and trends in data.
  • Ethical AI Practices:Graduates will recognize the ethical implications of AI and data science, ensuring responsible and fair use of technology in their professional practices.
  • Emerging Technologies Integration:Graduates will be familiar with emerging technologies such as deep learning, natural language processing, and big data frameworks, enabling them to innovate and adapt in a rapidly changing landscape.

Innovative Teaching & Learning

Innovative teaching and learning refer to approaches that enhance the educational experience by integrating creative and effective methods to engage students and promote deeper understanding

Benefits

Engagement:

Increases student motivation and participation.

Critical Thinking:

Encourages deeper analysis and problem-solving skills.

Collaboration:

Fosters teamwork and communication among students.

Real-World Skills:

Prepares students for real-world challenges by applying knowledge in practical contexts.