Lingayas - The Best Autonamous College to Enroll for Lifetime

Intelligent Systems & AI Applications.

four-year undergraduate program designed to equip students with the knowledge and skills necessary to develop intelligent systems and applications. This program integrates machine learning, data analytics, and visualization technologies to address complex problems across various domains.

Our Vision

To Achieve excellent standards of quality-education by using the latest tools,
nurturing collaborative culture and disseminating customer-oriented innovations
to relevant areas of academia and industry towards serving the greater cause of society.

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Overview

Multidisciplinary AI & Data Science.

AI focuses on creating intelligent systems, and DS leverages data to extract insights and drive decision-making.

The AI & DS program offers a comprehensive curriculum that includes:

Neural Networks
Robotics
Machine Learning Algorithms
Data Analytics and Visualization

Students engage in hands-on labs, real-world projects, and internships to reinforce theoretical knowledge with practical experience.

Our Mission

To develop professionals who are skilled in the area of Artificial Intelligence and Data Science.

To impart quality and value based education and contribute towards the innovation of computing, expert system.
To encourage students for pursuing higher education and research.
Our effort is to apply new advancements in high performance computing hardware and software.
Faculty contributions to research, publications, and thought leadership.

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PSOs

Program Specific Outcomes

While specific PSOs for the B.Tech ECE program at LIMAT are not explicitly detailed in the available sources, the program aims to develop graduates who can

Apply AI & DS Techniques: Implement machine learning algorithms and data science methodologies to solve complex problems across various domains
Develop Intelligent Systems: Design and develop intelligent systems and applications that can learn and adapt to new situations
Utilize Modern Tools: Employ contemporary tools and technologies for data analysis, model training, and system deployment.
Engage in Lifelong Learning: Adapt to the rapidly evolving field of AI & DS through continuous learning and professional development.
Adhere to Ethical Standards: Recognize and uphold professional and ethical responsibilities in engineering practices.

FAQs (Frequently Asked Questions)

1. What is AI&DS Engineering?

AI&DS engineering focuses on designing, developing, and applying artificial intelligence (AI) and data science (DS) techniques to solve real-world problems using algorithms, machine learning, data analysis, and computational tools.

2. What are the key subjects in the AI&DS program?

Key subjects include:

Machine Learning
Artificial Intelligence
Data Structures and Algorithms
Data Mining and Warehousing
Big Data Analytics
Deep Learning
Natural Language Processing
Cloud Computing
Statistics and Probability

3. What skills are required for AI&DS?

" Key Required Skills are...

Strong mathematical foundation (Linear Algebra, Calculus, Statistics)
Programming skills (Python, R, Java)
Knowledge of AI/ML frameworks (TensorFlow, PyTorch)
Data visualization and analysis skills
Problem-solving and critical thinking
Project management and organizational skills

4. What are the differences between AI&DS and CSE?

AI&DS:Specializes in AI, machine learning, and data science applications.
CSE: Covers a broader scope of computer science, including hardware, software, and networking.

5. What industries hire AI&DS graduates?

"AI&DS professionals are in demand across industries, including:

IT and Software Development
Healthcare
Finance and Banking
Manufacturing
Retail and E-commerce
Entertainment (e.g., gaming, streaming)
Autonomous Vehicles

6. Are internships necessary in AI&DS?