Computer Science and Engineering (Artificial Intelligence and Machine Learning)

Introduction

The Computer Science and Engineering (Artificial Intelligence and Machine Learning) course is a four-year undergraduate program that focuses on the design, development, and application of artificial intelligence and machine learning systems. The course provides students with a comprehensive understanding of computer science and engineering principles, as well as specialized knowledge in AI and ML.

Course Objectives

To provide students with a solid foundation in computer science and engineering principles.
To develop students' skills in AI and ML, including machine learning algorithms, deep learning, and natural language processing.
To equip students with the knowledge and skills to design, develop, and implement AI and ML systems and applications.
To prepare students for careers in AI, ML, and related fields.

Career Opportunities

Graduates of the Computer Science and Engineering (Artificial Intelligence and Machine Learning) course can pursue careers in various fields, including:

AI and ML Engineer
Design, develop, and implement AI and ML systems and applications.
Data Scientist
Analyze and interpret data to inform business decisions.
Business Intelligence Developer
Design and implement business intelligence solutions.
Robotics Engineer
Design, develop, and implement robotics systems and applications.
Research and Development
Pursue research and development in AI, ML, and related fields.

Faculty Profile

Key Skills

Career Prospects & Opportunities

Programming Skills: Proficiency in programming languages such as Python, Java, and C++.
AI and ML Skills: Knowledge of AI and ML algorithms, including machine learning, deep learning, and natural language processing.
Data Analysis and Visualization Skills: Ability to analyze and visualize data using tools like Tableau, Power BI, and D3.js.
Problem-Solving Skills: Ability to analyze and solve complex technical problems.
Communication Skills: Ability to effectively communicate technical information to non-technical stakeholders.

The Computer Science and Engineering (Artificial Intelligence and Machine Learning) course provides students with a comprehensive understanding of computer science and engineering principles, as well as specialized knowledge in AI and ML. The course structure and curriculum are designed to equip students with the knowledge and skills required to succeed in the AI and ML industries.

Supporting Department

Mathematics

The mathematics department lays the foundation for engineering studies. Experienced faculty members help shape the careers of engineering students from the first year.

Physics

The Physics department lays the foundation for engineering studies. Experienced faculty members help shape the careers of engineering students from the first year.

Chemistry

The Chemistry department lays the foundation for engineering studies. Experienced faculty members help shape the careers of engineering students from the first year.

English

The English department lays the foundation for engineering studies. Experienced faculty members help shape the careers of engineering students from the first year.