Computer Science AIDS - CEC Bilaspur

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

Faculty & Staff

S. No	Name		Position
1	Nilesh Kumar Gupta	HOD & Asst. Prof
2	Aarzoo Begam		Asst. Prof
3	Ankita Pandey		Asst. Prof.
4	Chhabi Lal		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)

Vision, Mission & PEO

VISION

To emerge as a center of excellence in the field of Artificial Intelligence & Data Science education by using the latest tools,
and to produce technically competent AI and DS professionals who nurture a collaborative culture and disseminate customer-oriented
innovations to relevant areas of academia and industry towards serving the greater cause of society.

Mission

To provide the best possible educational facilities for teaching and learning for AI and DS students to build a promising career.
To produce the best AI and DS engineers with strong personal and professional skills to meet the needs of Industry, Government, and Society.
To create an ambient environment where core competencies in AI and DS along with research can be enhanced.
To strengthen and mold students in professional, ethical, social, and environmental dimensions by encouraging participation in co-curricular and extracurricular activities.

Program Educational Objectives (PEOs)

To equip graduates with a strong foundation in engineering sciences and Artificial Intelligence & Data Science fundamentals
to become effective collaborators, researchers, and real-time problem solvers with technical competencies.
Graduates will have the capability to apply their knowledge and skills to solve issues in real-world Artificial Intelligence
and Data Science sectors and to develop feasible and viable systems.
To excel in industry or technical professions, higher studies, and entrepreneurship while exhibiting global competitiveness.