BTech In Artificial Intelligence
Affiliated to: Kathmandu UniversityAbout Course
- Course Title : BTech In Artificial Intelligence
- Category/Level : Bachelors
- Course Duration (months) : 48 months
- Cost Range (NPR) :
- Affiliated to : Kathmandu University
Course Description:
Kathmandu University offers Bachelor of Technology in Artificial Intelligence which aims to provide undergraduate students with a comprehensive AI education that is supplemented by practical training. The curriculum focuses on project-based learning and includes an internship program to ensure students gain practical, real-world experience.
The objectives of Bachelor of Technology in Artificial Intelligence (AI) program is to make students capable who can use the role of AI in poverty reduction, quality education, develop the standard of living which directly influences the economic growth of Nepal and reduce/forecast manmade as well as natural disasters
Admission info
Eligibility
Applicants must have passed with the subjects PCM (Physics, Chemistry and Mathematics) or PMCs (Physica, Mathematics and Computer Science) in both XI and XII.
Syllabus
The program begins with introductory courses in Programming Computer Science, Mathematics and Statistics to build a firm technical foundation. Later, the students will leam core Al concepts and techniques including state-space search, gameplaying, Machine Learning, Neural networks, Computer vision, Language Understanding, and more complex subjects.
Curricular Structure
Semester-I
Subject-Credit
-Introduction to Intelligent Systems-3
-Introduction to Programming-3
-Calculus-3
-Probability and Statistics-3
-Ethics and Professional Conducts-3
-Advanced Communication Skills-3
-Total Semester Credits-18
Semester-II
Subject-Credit
Object-oriented Programming-3
Data Structures and Algorithms-3
Discrete Structures-3
Linear Algebra-3
Introduction to Cognitive Science-3
Semester Project-I-2
Total Semester Credits-17
Semester-III
Subject-Credit
Database Management Systems-3
Design and Analysis of Algorithms-3
Artificial Intelligence-3
Introduction to Data Science-3
Differential Equations-3
Semester Project-II-2
Total Semester Credits-17
Semester-IV
Subject-Credit
Software Engineering-3
Optimization Theory-3
Numerical Methods-3
Introduction to Machine Learning-3
Programming Paradigms for AI-3
Semester Project-III-2
Total Semester Credits-17
Semester-V
Subject-Credit
Pattern Recognition-3
Data Mining-3
Computer Networks and Cyber Security-3
Elective I (AICL)-3
Innovative Entrepreneurship-3
Semester Project-IV-2
Total Semester Credits-17
Semester-VI
Subject-Credit
Advanced Machine Learning-3
Image Processing-3
Elective II (AICL)-3
Elective III (MSE)-3
Seminar-2
Semester Project-V-2
Total Semester Credits-16
Semester-VII
Subject-Credit
-Deep Learning-3
-Elective IV (AICL)-3
-Elective V (AICL)-3
-Elective VI (MSE)-3
-Industrial Preparation-1
-Semester Project-VI-2
-Total Semester Credits-15
Semester-VIII
Subject-Credit
-Elective VII (AICL)-3
-AI and Society-3
-Industrial Internship-6
-Total Semester Credits-12
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