Accredited by NAAC with 'A' Grade | Approved by AICTE, New Delhi |
Affiliated to Anna University, Chennai | Recognized Under 2(f) of UGC Act 1956
Military Road, Ammapet, Salem - 636003

AVSEC
Home
ABOUT US
Institution Profile Why AVS? Chairman's Desk Correspondent's Desk Principal Profile Strategic Plan Organogram Awards Received
ADMINISTRATION
Governing council Academic Council Code of Conduct HR Manual
ACADEMICS
Programmes Offered B.Tech Artificial Intelligence and Data Science B.Tech Information Technology B.E. Biomedical Engineering B.E. Computer Science and Engineering B.E Computer Science and Engineering (AI & ML) B.E. Electronics and Communication Engineering B.E. Electrical and Electronics Engineering B.E. Mechanical Engineering B.E. Civil Engineering Master of Business Administration (MBA) Master of Computer Applications (MCA) PO, PSO & CO Academic Calendar Swayam Faculties
RESEARCH
Research Policy Research Committee Research Supervisor Research Projects Publications (Research) Patent Incubation Centre
ADMISSION
Admission Procedure Admission Enquiry Form Admission Process and Guidelines Scholarship Pamphlet Prospectus Eligibility
IQAC
About IQAC Committee IQAC Initiatives Minutes & ATR
NAAC
Statutory Declaration NAAC Certificate AISHE Undertaking Report SSR Best Practice Institutional Distinctiveness
Annual Report NIRF ISO Statutory Declaration
Feedback
Stakholder Feedback Stakholder Filled Forms Analysis & Action Taken Report
PLACEMENT
About Placement Cell Placement Team Activities Training
Statistics
Placement Details 2023 Placement Details 2022 Placement Details 2021 Placement Details 2020 Placement Details 2019
Our Elite Recruiters Industrial Interactions Gallery
Placement Summary Batches
Batch 24-25 Batch 25-26
Placement Testimonials
BEYOND CLASSROOM
QES COE
Professional Societies
Institution of Engineers Indian Society for Technical Education Institute of Indian Foundrymen Soft Computing Research Socity
Siruthuli Industrial Visits
SKILLEDGE
Calendar PS Attachment
Elite - Internal Support
UG PG
Skill Training Reward Points
FACILITIES
Library Campus Tour Infrastructure Sports Facility Gym Food Court Juice Shop Divyangjan Hostel Transport
GALLERY
Regatta'25 Graduation Day'25 Achievers Day'25 Technical Symposium'25 Capstone'25 IPLONSTAR Farewell Day Celebrations Eminent personalities NSS EDC
Contact
Department of

Computer Science and Engineering
(AI & ML)

Transforming the future through intelligent algorithms and automated systems.

About the Department

The Department of Computer Science and Engineering (AI & ML) focuses on building "smart" systems that can learn and make decisions like humans. While regular computers just follow fixed instructions, AI and ML use advanced math and data to help machines improve themselves over time. This technology powers everything from self-driving cars and voice assistants like Alexa to personalized recommendations on Netflix. In this department, students learn how to design these intelligent algorithms and use high-performance computing to solve complex, real-world problems.

Career Opportunities
  • Edge Architect
  • Machine Learning Engineer
  • MLOps Lead
  • Data Scientist

Vision

To be a Centre of Excellence in Artificial Intelligence and Machine Learning through quality education, innovation, and impactful research for industry and society.

Mission

  • To build strong foundations in AI and ML through innovative teaching.
  • To provide quality education that enhances technical and research skills.
  • To nurture ethical, leadership, and industry-ready professionals.

PEO & Outcomes

Program Educational Objectives (PEOs)
  • Utilize proficiencies in AI, data science and statistics to build systems requiring management of large data volumes.
  • Advance technical skills to pursue pioneering research in AI and Data Science.
  • Think logically, pursue lifelong learning and collaborate with an ethical attitude.
  • Design and model AI based solutions to critical problem domains in the real world.
Program Outcomes (Regulation 2021)
DepartmentRegulation - 2021
AI & DS View PO/PSO File

Curriculum & Syllabus

UG Course Material
Download 2021 Syllabus

Laboratory Facilities

AI Lab 1

Artificial Intelligence Lab

Advanced computing facility for Machine Learning & Deep Learning models.

  • Processor:  Intel Core i7 11th Gen
  • Memory:  16GB DDR4 RAM
  • Storage:  512GB SSD
  • Connectivity:  1 Gbps High-Speed LAN
Data Science Lab

Data Science Laboratory

Dedicated center for Big Data Analytics and Visualization.

  • Capacity:  60 Workstations
  • Software:  Anaconda, Tableau, R-Studio
  • Focus Area:  Data Mining & Warehousing
  • Environment:  Fully Air-Conditioned
Research Lab

Project & Research Lab

Innovation hub for final year projects and research incubation.

  • Purpose:  Capstone Projects & R&D
  • Hardware:  IoT Kits, Raspberry Pi, Arduino
  • Cloud Access:  AWS & Azure Instances
  • Facility:  Smart Board & Projector
Chat with us Admission Enquiry
Autonomous Status for 10 years (UGC) | Counselling Code : 2636 | NAAC Accredited with 'A' Grade | Admissions Open Call: +91-94427-00200 | Autonomous Status for 10 years | Counselling Code : 2636 | NAAC Accredited with 'A' Grade | Admissions Open Call: +91-94427-00200 |