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Academics · Computing & information sciences

Department of Artificial Intelligence and Machine Learning

B.Sc. Artificial Intelligence and Machine Learning was introduced in the year 2024 with a strong commitment to excellence in computing education. By nurturing analytical thinking, innovation, and ethical values, the department enables stud…

Department Profile

B.Sc. Artificial Intelligence and Machine Learning was introduced in the year 2024 with a strong commitment to excellence in computing education. By nurturing analytical thinking, innovation, and ethical values, the department enables students to achieve their professional goals and aspirations in the field of Artificial Intelligence and Machine Learning. In addition to curriculum-based teaching, the department emphasizes holistic development through technical seminars, bridge courses, symposiums, hardware workshops, and skill-oriented training programmes. These initiatives equip students with industry-relevant knowledge, hands-on experience, and problem-solving abilities required for the future workforce.

Vision

To develop dynamic and digitally competent professionals for the future workforce.

Mission

  • To strive for academic excellence in Artificial Intelligence and Machine Learning through a creative and learner-centric teaching–learning process.
  • To foster critical thinking, innovation, and adaptability among students.
  • To transform students into globally competitive and socially responsible professionals.
  • Certificate courses on “AI-Powered Robotics: From Sensors to Smart Actions” and “Artificial Intelligence in Textile Management” are offered to students to enhance their technical expertise and industry-relevant skills.

The XPLORSA Association was launched in the year 2000. To transform the students into technically competent and ethical Computer Science professionals, the XPLORSA Association organizes seminars and conferences in State and National level, symposiums, workshops and the like. The association widens the knowledge of the students on modern trends and technologies and also instil them with the required employability skills.

Faculty Profile

Syllabus

POs and COs

Gallery

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