B.Tech CSE in Artificial Intelligence and Machine Learning Syllabus - Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG, Hyderabad)

  • Years 4 Years
  • Type Course Under Graduate
  • stream Engineering
  • Delivery Mode
Written By universitykart team | Last updated date Jul, 07, 2024

The Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning syllabus at Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG), Hyderabad is designed to provide overall knowledge to the students with a strong foundation. Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning faculty at Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG) specially focus on in-depth learning to relevant subjects. At first semester syllabus of Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning at Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG), students learn the basics of programme. A strong foundation is very important for comprehensive learning. Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning syllabus at Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG), Hyderabad maintains a balance between theoretical knowledge and practical knowledge.

Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning first year students at Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG) are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG), Hyderabad also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning syllabus at Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG), Hyderabad is also frequently updated to give industry relevant training and knowledge to students. Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG) strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG) enable Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning students to apply knowledge and skills in a controlled environment and get required experience.

According to syllabus of Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning progress, students learn advanced topics and complex concepts. The Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning curriculum at Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG), Hyderabad mainly focuses on analytical and critical thinking. As the Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning course unfolds, students develop several important skills that increases their employability. As per syllabus of Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning at Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG) also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.

Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning curriculum at Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG) includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning syllabus at Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG) aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG)

  1. Workshops and Seminars - Regular sessions with industry experts help Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning students at Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG) to stay updated with current trends.
  2. Group Projects - Collaborative projects according to Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG) syllabus develop teamwork and problem-solving skills.
  3. Case Studies - Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
  4. Extracurricular Activities - Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG) offers several activities like sports, clubs, societies, etc. to encourage overall development.

Note: Given below syllabus is based on the available web sources. Please verify with the Nalla Narasimha Reddy Education Society's Group of Institutions (NNRG), Hyderabad for latest Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning curriculum.

Syllabus and subjects in B.Tech CSE in Artificial Intelligence and Machine Learning

A Bachelor of Technology (B.Tech) program in Computer Science and Engineering (CSE) with a specialization in Artificial Intelligence and Machine Learning (AI/ML) offers a comprehensive curriculum that combines core computer science concepts with advanced topics in AI and ML. The B.Tech CSE in AI/ML syllabus typically includes foundational courses in mathematics, programming, data structures, and algorithms, providing students with a solid computational foundation. As students progress, they delve into specialized subjects like machine learning, deep learning, natural language processing, computer vision, and reinforcement learning. Practical experience is gained through hands-on projects and internships, often involving the development of AI/ML models and applications. Graduates of this program are well-prepared for careers in AI/ML research, data science, and the development of AI-driven solutions for a wide range of industries, making them valuable contributors to the rapidly evolving field of artificial intelligence.


Year 1st OR 1st and 2nd Semester Syllabus of Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning

S.No
Subjects
1
Linear Algebra and Differential Calculus                                                                                                              
2
Applied Physics                         
3
English
4
Programming for Problem Solving
5
Engineering Graphics
6
Differential Equations and Vector Calculus
7
Engineering Chemistry
8Data Structures

Year 2nd OR 3rd and 4th Semester Syllabus of Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning

S.No
Subjects
1
Digital Logic Design
2
Object Oriented Programmin g in C++                                                                                                 
3
Probability and Statistics                             
4
Discrete Mathematics
5
Database Management Systems
6
Computer Organization
7
Operating Systems
8Economics and Accounting for Engineers
9
Java Programming                                                                                            
10Design and Analysis of Algorithms
11Lab Work

Year 3rd OR 5th and 6th Semester Syllabus of Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning

S.No
Subjects
1
Computer Networks                                                                                             
2
Data Warehousing and Data Mining                                                                                                   
3
Artificial Intelligence                                          
4
Machine Learning
5
Big Data Analytics
6
Software Engineering

Year 4th OR 7th and 8th Semester Syllabus of Bachelor of Technology (B.Tech.) CSE in Artificial Intelligence and Machine Learning

S.No
Subjects
1
Cryptography and Network Security
2
Neural Networks and Deep Learning                
3
Fundamentals of Management and Entrepreneurship                                                                            
4
Lab Work

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