B.Tech. in AI (BACHELOR OF TECHNOLOGY IN ARTIFICIAL INTELLIGENCE.)

B.Tech in Artificial Intelligence is a field within computer science and engineering that focuses on developing machines capable of performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language processing.

At Kantipur International College (KIC), this program is designed to bridge theoretical knowledge with practical application. The curriculum emphasizes hands-on learning, industry-oriented projects, and real-world problem-solving, preparing students to become skilled AI professionals. With a strong focus on innovation, entrepreneurship, and emerging technologies, KIC aims to equip students with the competencies needed to thrive in the rapidly evolving digital and AI-driven global landscape.

Year I – Semester I

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT101CO Introduction to Programming 3 3 1 2 6
BT102CO Digital Logic 3 3 1 2 6
BT103HS Calculus 3 3 1 0 4
BT104HS Introduction to Artificial Intelligence 3 3 1 0 4
BT105HS Technical Report Writing and Presentation 3 3 1 0 4
BT106HS Society and Professional Ethics 3 3 1 0 4

 Year I – Semester II

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT251CO Object Oriented Programming 3 3 1 2 6
BT252CO AI and Intelligent Systems 3 3 1 2 6
BT253CO Microprocessor and Assembly Language 3 3 1 2 6
BT254CO Probability and Statistics 3 3 1 0 4
BT255HS Linear Algebra 3 3 1 0 4
BT256CO Project I 2 1 0 2 3

Year II – Semester I

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT201CO Database Management System 3 3 1 2 6
BT202CO Data Structure and Algorithm 3 3 1 2 6
BT203CO Computer Organization 3 3 1 0 4
BT204CO Operating System 3 3 1 2 6
BT205HS Differential Equations 3 3 1 0 4
BT206CO Project II 2 0 0 3 3

Year II – Semester II

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT251CO Numerical Methods 3 3 1 2 6
BT252CO Computer Networks 3 3 1 2 6
BT253CO Design and Analysis of Algorithms 3 3 1 0 4
BT254CO Programming for AI (Tools, Techniques, Libraries) 3 3 1 2 6
BT255HS Introduction to Data Science 3 3 1 2 6
BT256CO Project III 2 0 0 3 3

Year III – Semester I

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT301CO Machine Learning 3 3 1 2 6
BT302CO Optimization Techniques 3 3 1 2 6
BT303CO Embedded Systems 3 3 1 2 6
BT304CO Pattern Recognition and Image Processing 3 3 1 2 6
BT305CO Data Warehousing and Mining 3 3 1 2 6
BT306CO Project IV 2 0 0 3 3

Year III – Semester II

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT351CO Object Oriented Software Engineering 3 3 1 2 6
BT352CO Computer Vision 3 3 1 2 6
BT353CO Deep Learning 3 3 1 2 6
BT354CO Speech and Natural Language Processing 3 3 1 2 6
BT355HS Research Methods 3 3 1 0 4
BT356CO Project V 2 0 0 3 3

Year IV – Semester I

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT401CO Internship 3 0 0 3 3
BT402CO Reinforcement Learning 3 3 1 2 6
BT403CO Cloud Computing 3 3 1 2 6
BT404CO Project VI 2 0 0 3 3

Year IV – Semester II

Course Code Course Title Credits Lecture (Hrs) Tutorial (Hrs) Lab (Hrs) Total (Hrs)
BT451CO IoT for Smart City 3 3 1 2 6
BT452** Elective I 3 3 1 0 4
BT453** Elective II 3 3 1 0 4
BT454CO Professional Project 3 0 1 3 4

Elective Courses

Computer Vision

  • Image and Video Processing
  • Surveillance Video Analytics
  • People Detection and Biometric Recognition

Mathematics

  • Introduction to Statistical Learning
  • Optimization Methods in Machine Learning / Convex Optimization
  • Kernel Methods
  • Bayesian Data Analysis

Computing / IoT

  • Smart Product Development
  • Predictive Analysis and IoT
  • Modeling & Simulation
  • Pervasive Computing

Data Science

  • Fundamentals of Big Data Analytics
  • Data Analysis and Visualization

Business Intelligence

  • Social Media Analytics