B.Tech in AI/ML* with Curriculum Aligned to NVIDIA Deep Learning Institute (DLI)

Duration4 Years

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Eligibility10+2 *

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Program Specific Outcomes (PSO)
PSO 01

Design and develop intelligent automated systems by leveraging mathematical, analytical, programming, and operational skills to solve real-world problems.

PSO 02

Apply machine learning techniques and software tools to conduct experiments, interpret data, and address complex challenges.

PSO 03

Implement engineering solutions for the benefit of society through the application of Artificial Intelligence and Machine Learning.

Programme Outcomes (PO)

To apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

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To identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

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To 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.

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To 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.

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To create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

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To 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.

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To understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

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To apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

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To function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

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To 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.

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To 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.

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To 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.

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Curriculum Details

Course Code Course Name L T P Credits
MAT1720 Matrix Methods and Linear Algebra 3 0 0 3
COM1515 Modern English Language 0 0 4 2
PHY1009/PHY1009L Elements of Modern Physics / Elements of Modern Physics Lab 3 0 2 4
CSE1008/CSE1008L Programming and Problem Solving using C / Programming and Problem Solving using C Lab 2 0 2 3
CSI1201 IT Infra Landscape Overview 2 0 0 2
VAC001 Design Thinking 2 0 0 2
EGR1501 Induction Program 0 0 0 0
Total Credits 16

Course Code Course Name L T P Credits
MAT1120/MAT1120L Probability and Statistics using Python / Probability and Statistics using Python Lab 3 0 2 4
PHY1008/PHY1008L Quantum Mechanics / Quantum Mechanics Lab 3 0 2 4
ELE1001/ELE1001L Fundamentals of Electrical and Electronics Engineering / Fundamentals of Electrical and Electronics Engineering Lab 3 0 2 4
CSE1009/CSE1009L Data Structures / Data Structures Lab 3 0 2 4
COM1521 Communication Skills and Ability Enhancement 0 0 4 2
LAW3710 Constitution of India 3 0 0 0
EGV1001 Engineering Visualization and Project Realization 0 0 4 2
VAC004 Introduction to Indian Knowledge System 2 0 0 2
Total Credits 22

Course Code Course Name L T P Credits
MAT1723/MAT1723L Discrete Mathematics using Python / Discrete Mathematics using Python Lab 3 0 2 4
CSE2025/CSE2035L Object Oriented Programming through C++ / Object Oriented Programming through C++ Lab 3 0 2 4
ELX2705 Digital Logic Design 2 0 0 2
COM2521 Academic Writing 0 0 4 2
CSE2034/CSE2034L Introduction to Design and Analysis of Algorithms / Introduction to Design and Analysis of Algorithms Lab 3 0 2 4
UHV2701 Universal Human Values 3 0 0 3
IDP2501/IDP2502 Developing a Business Model / Research & Design 0 1 4 3
Total Credits 22

Course Code Course Name L T P Credits
CSE2036/CSE2036L Programming using Java / Programming using Java Lab 2 0 2 3
CSE2711 Computer Organization and Architecture 3 1 0 4
CSE2037/CSE2037L Basics of Data Communication and Computer Networks / Basics of Data Communication and Computer Networks Lab 3 0 2 4
CSE2045/CSE20245L Generative AI and Diffusion Models / Generative AI and Diffusion Models Lab 3 0 2 4
CSE2046/CSE2046L Retrieval-Augmented Generation (RAG) Systems / RAG Retrieval-Augmented Generation (RAG) Systems Lab 3 0 2 4
COM2525 Work Place Communication 0 0 4 2
IDP2503/IDP2504 Translating Business Model / Data Analysis & Publication 0 1 4 3
VAC003 Environmental Studies 2 0 0 2
Total Credits 26

Course Code Course Name L T P Credits
CSE3008/CSE3008L Introduction to Database Management Systems / Introduction to Database Management Systems Lab 3 0 2 4
CSE3009/CSE3009L Operating Systems and its Applications / Operating Systems and its Applications Lab 2 0 2 3
ELX3008/ELX3008L Microprocessor and Microcontrollers / Microprocessor and Microcontrollers Lab 2 0 2 3
Professional Elective-I 3 1 0 4
CSE3045/CSE3045L LLM Fine-tuning and Optimization / LLM Fine-tuning and Optimization Lab 3 0 2 4
CSE3046/CSE3046L GPU-accelerated Development Workflows / GPU-accelerated Development Workflows Lab 3 0 2 4
Total Credits 22

Course Code Course Name L T P Credits
CSE3013/CSE3013L Web Application Development / Web Application Development Lab 3 0 2 4
Professional Elective-II 3 1 0 4
Professional Elective-III 3 0 2 4
Open Elective-I 3 0 0 3
CSE2016/CSE2016L Embedded Systems / Embedded Systems Lab 3 0 2 4
Total Credits 19

Course Code Course Name L T P Credits
CSE4045/CSE4045L Scalable AI Deployment with Edge / Scalable AI Deployment with Edge Lab 3 0 2 4
CSE2501 Internet of Things 3 0 0 3
Professional Elective-IV 3 0 2 4
Open Elective II 3 0 0 3
EGR4501 Project Phase-I 0 0 0 4
EGR4502 Summer Internship 0 0 0 2
Total Credits 20

Course Code Course Name L T P Credits
Professional Elective-V 3 0 2 4
Open Elective III 3 0 0 3
EGR4503 Project Phase-II 0 0 0 10
Total Credits 17
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