Overview
The AI research team at Anurag University works on developing intelligent algorithms and systems that can learn, reason, and perceive the world around them. They explore various AI domains, including natural language processing, computer vision, robotics, and intelligent systems, and collaborate with industry partners to apply AI to real-world problems.
Outcome Based Education
PEO (Programme Educational Objectives)
1. Be able to employable as software professionals in reputed industries
2. Be able to analyze the problems by applying the principles of Artificial Intelligence, Statistics and scientific investigation and to design and implement industry related solutions using Artificial and Machine Learning techniques.
3. Be able to work productively in supportive and leadership roles on multidisciplinary teams with professional skills with high regard to legal and ethical responsibilities.
PO (Program Outcome)
1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10.Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
11.Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
12.Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
PSO (Program Specific Outcome)
1. To address the challenges in collecting, storing increasing amounts of data of all types for the purposes of prediction and decision making.
2. To train students to build AI systems to mimic human intelligence
3. To focus on the following areas of AI: Search, Machine Learning, Language Technologies and Computer Vision
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.
The following Honors/Minors are being offered by various departments
Artificial Intelligence & Machine Learning
Honors
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Minor Engg. (Offered to other depts)
Artificial Intelligence
Data Science
Honors
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Minor Engg. (Offered to other depts)
Artificial Intelligence
Computer Science & Engg.
Honors
Data Science
Minor Engg. (Offered to other depts)
CSE
Information Technology
Honors
Cyber Security
Minor Engg. (Offered to other depts)
Information Technology
Chemical Engg.
Honors
Green Tech. & Sustainability Engg.
Minor Engg. (Offered to other depts)
Material Science & Engg.
Civil Engg.
Honors
Smart City Planning & Development
Minor Engg. (Offered to other depts)
Smart City Planning
Electronics & Communication Engg.
Honors
AI for Signal Processing
Minor Engg. (Offered to other depts)
Robotics
Electrical & Electronics Engg.
Honors
1. Electric Vehicle 2. Smart Grid
Minor Engg. (Offered to other depts)
Electric Vehicle
Mechanical Engg.
Honors
Additive Manufacturing
Minor Engg. (Offered to other depts)
3-D Printing
Career Path
AI Engineer
Machine Learning Engineer
Data Scientist
Robotics Engineer
AI Research Scientist
AI Product Manager
Natural Language Processing Engineer
Placements
Vineetha Polamada
- AI
- 13.2 LPA
- Amazon Wow
Jukanti Rakesh Kumar
- AI
- 11 LPA
- Accolite Digital
Bhrugubanda Vijaiya Sai Mohana
- AI
- 8.5 LPA
- Brillio