B.Tech. in Artificial Intelligence and Data Science-Duration: 4 years

 VR Siddhartha Engineering College (VRSEC) in Kanuru, affiliated with Jawaharlal Nehru Technological University, Kakinada (JNTUK), offers a B.Tech. in Artificial Intelligence and Data Science. This undergraduate program spans four years and is designed to equip students with foundational and advanced knowledge in AI and data science.

Program Overview:

  • Duration: 4 years
  • Level: Undergraduate (B.Tech.)
  • Affiliation: JNTUK
  • Curriculum Highlights: The program covers a range of topics, including machine learning, data analytics, artificial intelligence principles, and their applications in real-world scenarios.

Accessing the Syllabus:

The detailed syllabus for the B.Tech. in Artificial Intelligence and Data Science is available on the official VRSEC website.

  1. Visit the Curriculum and Syllabus Page: Navigate to the VRSEC Curriculum and Syllabus page:

  2. Locate the Program: Under the "B.Tech Programmes Curriculum" section, find "Artificial Intelligence & Data Science."

  3. Download the Syllabus: Click on the "Download Syllabus" link to access the PDF document containing detailed course information.

Additional Information:

For more insights into the program structure, course content, and academic regulations, you may also refer to the following resources:

  • Academic Regulations and Syllabus Document: This document provides comprehensive details on course credits, evaluation methods, and academic policies.

  • Course Files: Detailed course files, including lecture notes and assignments, are available for reference.

Contact Information:

For personalized assistance or specific queries regarding the program, consider reaching out to the admissions office or the Department of Computer Science and Engineering at VRSEC.

If you have further questions or need additional assistance, feel free to ask!

Comments

Popular posts from this blog

how to practice javascripts online

ui/ux road map

Adobe Photoshop 2024 v25.12.0 Cracked for macOS