Admissions Open 26-27 | Engineering • Polytechnic • Arts & Science • School

B.Tech. Artificial Intelligence & Data Science

LATHA MATHAVAN ENGINEERING COLLEGE
(Run by Karuppiah Pillai Theivanai Ammal Educational Trust)
ISO 9001 : 2015 Certified Institutions
(AICTE Approved & Anna University Affiliated)
B.Tech. Artificial Intelligence & Data Science
B.Tech. Artificial Intelligence & Data Science
4 Years / 8 Semesters Passed 10+2 / HSC Examination with Mathematics, Physics & Chemistry from a recognized board.
Cutting-edge undergraduate program in Artificial Intelligence & Data Science covering machine learning, deep learning, big data, and cloud computing.

Course Curriculum & Semester Syllabus

Year 1 - Semester 1
  • • Applied Calculus
  • • English Essentials – I
  • • தமிழர் மரபு / Heritage of Tamils
  • • Applied Physics – I
  • • Applied Chemistry – I
  • • Computer Programming
  • • Essentials of Computing
  • • Makerspace
  • • Life Skills for Engineers – I
  • • Physical Education – I
Year 1 - Semester 2
  • • Linear Algebra
  • • Basic Electrical and Electronics Engineering
  • • Digital Principles and Computer Organization
  • • தமிழர்களும் ததொழில்நுட்பமும் / Tamils and Technology
  • • Applied Physics (CSIE) – II
  • • Python for Data Science
  • • English Essentials – II
  • • Re-Engineering for Innovation
  • • Life Skills for Engineers – II
  • • Physical Education – II
  • • Foreign Language
Year 2 - Semester 3
  • • Discrete Mathematics
  • • Data Structures
  • • Java Programming
  • • Exploratory Data Analysis
  • • Operating Systems
  • • Skill Development Course – I
  • • English Communication Skills Laboratory – II
Year 2 - Semester 4
  • • Probability and Statistics
  • • Algorithms
  • • Artificial Intelligence Essentials
  • • Data Privacy and Security
  • • Standards in Artificial Intelligence
  • • Database Management Systems
  • • Skill Development Course – II
  • • English Communication Skills Laboratory – III
Year 3 - Semester 5
  • • Optimisation Techniques
  • • Natural Language Processing
  • • Programme Elective – I
  • • Programme Elective – II
  • • Machine Learning
  • • Computer Networks
  • • Internet of Things
  • • Skill Development Course – III
  • • Industry Oriented Course – I
Year 3 - Semester 6
  • • Compiler Design
  • • Programme Elective – III
  • • Open Elective
  • • Deep Learning
  • • Image Processing
  • • UI/UX Design and Human Centered Design
  • • Industry Oriented Course – II
  • • Full Stack Development Laboratory
  • • Self-Learning Course
Year 4 - Semester 7
  • • Programme Elective – IV
  • • Programme Elective – V
  • • Climate Change and Sustainability
  • • Ethical Hacking and Penetration Testing
  • • Engineering Entrepreneurship Development
  • • Summer Internship
Year 4 - Semester 8
  • • Project Work / Internship cum Project Work
Eligibility & Admission Requirements

Passed 10+2 / HSC Examination with Mathematics, Physics & Chemistry from a recognized board.

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