B.Tech CSE with Artificial Intelligence & Machine Learning(Powered by IBM)
B.Tech CSE with Artificial Intelligence & Machine Learning(Powered by IBM)
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Your Program
B.Tech CSE with Artificial Intelligence & Machine Learning(Powered by IBM)
Duration |
ELIGIBILITY |
ADMISSION PROCESS |
FEES |
|---|---|---|---|
| 04 Years | 60% in 10+2 in PCM . | On the basis of performance in the online Multiple-Choice Question (MCQ) Test of 2 hours duration and personal interview | Rs. 1,60,000 per annum |
About the Course
Computer science engineering (CSE) with Artificial Intelligence & Machine Learning(Powered by IBM) is one of the popular courses among engineering aspirants which focuses on the basic elements of computer programming and networking. Students pursuing computer science courses will gain knowledge of design, implementation and management of information system of both hardware and software. Going by the name, CSE course deals primarily with the theory of computation and design of computational systems. The course is offered across the globe in technical institutions at undergraduate as well as postgraduate levels awarding B.Tech and M.tech degrees, respectively.
Job Prospects
- Computer Programmer
- Software Developer
- Entrepreneur
- Business Analyst
- Android Developer
- Researchers
- Analytical Developer
- Civil Services
- Teacher
Course Structure
Semester 1
University Core
- Proficiency in Co-curricular Activities
- Mathematics – I
- Environmental Studies
- Human Ethics & Value
- Foundation Course
- Professional Communication I
- Web Designing
- Introduction to Programming Language
- Professional Communication Lab
- Introduction to Internet Of Things (IOT)
Program Core
- Electrical & Electronics Engineering
- Design Thinking
- Electrical & Electronics Engineering Lab
- Engineering Drawing Lab
Practical
- Electrical & Electronics Engineering Lab
- Engineering Drawing Lab
University Elective
- Remedial Mathematics
- Remedial Physics
- Foreign Language (German/French. Etc.)
- History of Engineering & Science
Semester 2
University Core
- Mathematics – II
- Professional Communication-II
- Advance Java
- Engineering Physics
- Advance JAVA Lab
- Workshop Practice
- Employability Skills–I
- Proficiency in Co-curricular Activities
- Foundation Course
Program Core
- Engineering Mechanics
- Engineering Physics Lab
- Basics of MATLAB
- AUTOCAD Lab
- Introduction to AI
Practical
- Engineering Physics Lab
- Basics of MATLAB
- AUTOCAD Lab
Program elective
- Remedial Mathematics
- Remedial Physics
- Professional Ethics and Human Values
Semester 3
University Core
- Economics and Social Sciences
- Employability Skill-II
- Introduction to Android
- Proficiency in Co-Curricular Activities
Program Core
- Data Structures and Algorithms
- Principles of Programming Languages
- Machine Learning
- Dynamic Paradigm in AI and ML-I
- Data Structures and Algorithms Lab
- Industrial oriented Python Project Lab
Practical
- Data Structures and Algorithms Lab
- Industrial oriented Python Project Lab
- Machine Learning Lab
Program Elective
Open Elective
Semester 4
University Core
- Employability Skill-III
- Proficiency in Co-Curricular Activities
Program Core
- Software Engineering
- Discrete Mathematics and Graph Theory
- Web Development and Database (PHP & My SQL)
- Dynamic Paradigm in AI and ML-II
- Industrial oriented Core Java Project Lab
- Design Practice with UML Lab
- Web Development and Database Lab(PHP & My SQL)
Practical
- Design Practice with UML Lab
- Web Development and Database(PHP & My SQL)
Program Elective
Open Elective
- Introduction to Internet of Things(IoT)
- Core Java
Semester 5
University Core
- Employability Skill-IV
- Practical Training Seminar Stage-I
- Proficiency in Co-Curricular Activities
Program Core
- Database Management System
- Computer Architectures
- Advance Android-I
- Dynamic Paradigm in AI and ML-III
- Computer Architectures Lab
- Database Management System Lab
- Project Advance Android-I (Lab)
Practical
- Computer Architectures Lab
- Database Management System Lab
- Project Advance Android-I (Lab)
Program Elective
Open Elective
- Advanced Web Development
Semester 6
University Core
- Employability Skills-V
- Proficiency in Co-Curricular Activities
Program Core
- Design & Analysis of Algorithms
- Theory of Computation
- Computer Network
- Dynamic Paradigm in AI and ML-IV
- Computer Graphics Lab
- Computer Network Lab
- Project Advanced Android –II
Practical
- Computer Graphics Lab
- Computer Network Lab
- Project Advanced Android –II
Program Elective
Open Elective
- Angular JS
Semester 7
University Core
- Employability Skills-VI
- Practical Training Seminar Stage-II
- Proficiency in Co-Curricular Activities
Program Core
- Information & Network Security System
- Operating Systems
- Deep Learning
- System Security Lab using C
- Major Project Stage-I
Practical
- System Security Lab using C
- Major Project Stage-I
Program Elective
Open Elective
- X-Windows Lab
- Asynchronous Transfer Mode
Semester 8
University Core
- Intellectual Property Right
- Seminar
Program Core
- Real Time Systems
- Compiler Construction
- Cloud Computing
- Compiler Construction Lab
Practical
- Compiler Construction Lab
- Advanced Computer Architecture Lab
Program Elective
Open Elective
-
- Advance Computer Architectures
Teaching
The typical percentage of time spent in different learning activities for this course is based on student choices. This information is collated from the previous year and will not be available if the course is new.
Year 1
Year 2
Year 3
Year 4
Assessment
Typically how work is assessed for this course is based on student choices. This information is collated from the previous year and will not be available if the course is new.
Year 1
Year 2
Year 3
Year 4
