Duration 3 Years |
Level Graduation |
Type Degree |
Eligibility 10+2 |
B.Sc Artificial Intelligence and Mobile Computing or Bachelor of Science in Artificial Intelligence and Mobile Computing is a full-time three-year undergraduate degree program. The program is built with a one-of-a-kind curriculum to address industrial and practical demands, and students will be able to use critical thinking and technical skills learned in the fields of Artificial Intelligence and Data Analytics. Machine Learning Techniques, Computer Vision, Deep Learning, Cognitive Computing, Data Analysis and Visualization Techniques, Big Data Analytics, Predictive Analytics, and other courses are included in the curriculum to offer students with both conceptual and practical expertise.
B.Sc Artificial Intelligence and Mobile Computing Eligibility
B.Sc Artificial Intelligence and Mobile Computing Syllabus
Syllabus of Artificial Intelligence and Mobile Computing Course as prescribed by various colleges & universities.
B.Sc Artificial Intelligence and Mobile Computing Semester-I |
|
Sr. No. |
Subjects to Study |
1 |
Communicative English |
2 |
Computer Architectures |
3 |
Digital Logic System Design |
4 |
Ethics and Human Values |
5 |
Linear Algebra and Calculus |
6 |
Problem Solving and Programming using C |
7 |
Practicals
|
B.Sc Artificial Intelligence and Mobile Computing Semester-II |
|
1 |
Data Structures |
2 |
Data Base Management Systems |
3 |
Environmental Studies |
4 |
Object Oriented Programming using C++ |
5 |
Probability and Statistics |
6 |
Practicals
|
B.Sc Artificial Intelligence and Mobile Computing Semester-III |
|
1 |
Computer Networks |
2 |
Data Mining |
3 |
Introduction to Artificial Intelligence |
4 |
Operating Systems |
5 |
Python Programming |
6 |
Statistics for ML |
7 |
Practicals
|
B.Sc Artificial Intelligence and Mobile Computing Semester-IV |
|
1 |
Artificial Neural Networks |
2 |
Cloud Computing |
3 |
Design and Analysis of Algorithms |
4 |
Optimization Techniques |
5 |
Web Technology |
6 |
Practicals
|
B.Sc Artificial Intelligence and Mobile Computing Semester-V |
|
1 |
Mobile Application Development |
2 |
Machine Learning: Principles and Practices |
3 |
R Programming |
4 |
Practical
|
5 |
Elective-I
|
6 |
Elective-II
|
7 |
Project Phase-I |
B.Sc Artificial Intelligence and Mobile Computing Semester-VI |
|
1 |
Pattern Recognition |
2 |
Elective-III
|
3 |
Elective-IV
|
4 |
Project Phase-II |
B.Sc Artificial Intelligence and Mobile Computing College