Department of Computer Science & Engineering - AIML

Strategic Plan

  • To work for getting accreditation from premier agencies like NAAC, NBA, and to maintain permanent affiliation from the university.
  • To engage with industry current needs and subsequently sign MOUs with them.
  • To achieve 100% placement for all eligible students focusing on core domains.
  • To establish an in-house training center for GATE exams.
  • To offer certification courses continuously to impart technical skill sets.
  • Promoting technology-assisted self-learning and engaging students.
  • Establishing Data Centers of Excellence in upcoming IT fields like Artificial Intelligence and Cloud Computing.
  • Incubate successful start-ups creating innovative products and business models using the latest technologies.

 

S. No Teaching Methods
1 Smart Classroom
2 LCD Projectors
3   Video Lectures
4   Power Point Presentation
5   NPTEL Video Lectures
6  Outcome Based Teaching

 

S. No Learning Methods
1  Collaborative Learning
2   Participative Learning
3  ICT Based Learning
4  Experimental Learning
5  LMS – Teaching Materials
6  Digital Library
S. No Name Position
1 Jyoti Prakash Singh Asst. Prof
2 Sakshee Tripathi Asst. Prof
3 Sandhya Sharma Asst. Prof.
4 Chhatrapal Yadaw Asst. Prof.

Department Profile

  • Degree & Duration : Bachelor of Engineering & 8 Semester
  • Established : 2022
  • Current Intake : 60
  • No. of Faculty : 04
  • Total Laboratories : 11 (in-share with CSE branch)

Our Vision | Mission

Vision, Mission & PEO

VISION

To emerge as a center of excellence in the field of Artificial Intelligence & Machine Learning education,
and to produce technically competent AI and ML professionals who drive industry innovation and positively
impact society through cutting-edge technologies.

MISSION

  • To provide the best possible educational facilities for teaching and learning in AI & ML for building a promising career.
  • To produce skilled AI & ML engineers with strong personal and professional responsibilities for Industry, Government, and Society.
  • To create an environment that enhances core competencies and promotes research in AI & ML.
  • To strengthen students ethically, socially, and professionally through co-curricular and extracurricular activities.

Program Educational Objectives (PEOs)

  • Graduates will be able to solve a wide range of AI & ML problems to serve industry and society.
  • Graduates will excel with professional skills, strong fundamentals, and advanced technologies to become Data Scientists, ML Leaders, AI Researchers, or Entrepreneurs.
  • Graduates will achieve professional competence through life-long learning, advanced degrees, and globally relevant engineering skills.
  • Graduates will develop solutions for real-world industrial problems in a fast-changing technological environment and effectively communicate as professionals or entrepreneurs.

Labs