B.Tech in AI & ML

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Overview

The Artificial Intelligence and Machine Learning program at Anurag University is designed to provide students with a comprehensive understanding of the principles, algorithms, and applications of artificial intelligence and machine learning. The program curriculum covers various topics, including data mining, pattern recognition, natural language processing, deep learning, computer vision, and more. The aim is to equip students with the knowledge and skills needed to develop intelligent systems and algorithms to solve complex real-world problems.

Outcome Based Education

PEO (Programme Educational Objectives)

1. Graduates will be successful professionals in the field of artificial intelligence and machine learning, possessing a strong foundation in engineering, science, and technology.
2. Graduates will possess the ability to analyze, design, and develop AI and ML-based solutions for real-world problems across different domains.
3. Graduates will be effective contributors and leaders in multidisciplinary teams, demonstrating excellent communication and teamwork skills, while adhering to legal and ethical responsibilities.
4. Graduates will embrace lifelong learning to stay abreast of the ever-changing developments in the field of artificial intelligence and machine learning.

PO (Program Outcome)

1. Apply mathematical foundations, computer science principles, and engineering fundamentals to solve complex engineering problems in the field of AI and ML.
2. Identify, analyze, and design solutions for complex problems using AI and ML techniques, algorithms, and tools.
3. Develop and implement AI and ML models and systems that meet specific requirements, considering societal, environmental, and ethical aspects.
4. Conduct research, analyze data, and derive meaningful insights using AI and ML techniques, contributing to the advancement of knowledge in the field.
5. Select and apply appropriate AI and ML techniques, tools, and resources to solve complex problems, with an understanding of their limitations and trade-offs.
6. Analyze the impact of AI and ML solutions on individuals, organizations, and society, considering legal, ethical, and social implications.
7. Understand the importance of sustainable development and incorporate it into AI and ML solutions, considering societal and environmental contexts.
8. Demonstrate professionalism, ethical behavior, and responsibility in AI and ML practice.
9. Function effectively as an individual and as a member or leader in diverse teams, including multidisciplinary settings.
10. Communicate effectively on complex AI and ML activities with the engineering community and society at large, using appropriate documentation, reports, presentations, and instructions.
11. Apply engineering and management principles in AI and ML projects, demonstrating the ability to manage projects and work in multidisciplinary environments.
12. Recognize the need for continuous learning and development, and possess the skills to engage in independent and lifelong learning in the field of AI and ML.

PSO (Program Specific Outcome)

The program-specific outcomes for the AIML program at Anurag University are currently not available. Please contact Anurag University for specific information on PSOs for AIML.

Honours & Minors

About B. Tech. (Honors/Minor)

AICTE in its ‘Model Curriculum – 2018’ for UG Program in Engineering & Technology has recommended that a student will be eligible to get an undergraduate degree with ‘Honors’ or ‘Minor Engineering’ if he/she completes and acquires an additional 18-20 credits. AU gives its students the opportunity to get a degree in B. Tech. (Hons.) or B.Tech. (Minor Engg.), by earning 18 additional credits of professional courses. These additional credit courses shall not be part of the regular curriculum

Eligibility

B. Tech. (Hons./Minor Engg.) degree is open to all current Engineering /Technology undergraduates who have taken admission on or after the academic year 2022 – 23
A B. Tech. (Reg.) student should secure a CGPA of at least 7.5 by the end of 2nd sem without any backlogs.
A B. Tech. (LES) student should secure a SGPA of at least 7.5 in the 3rd sem without any backlogs.
Students securing ‘F’ grade in any previous semester(s) are not eligible for registration.