B.Tech in AI/ML* with Curriculum Aligned to NVIDIA Deep Learning Institute (DLI)
Duration4 Years
Eligibility10+2 *
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.
To identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
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.
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.
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.
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.
To understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
To apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
To function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
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.
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.
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 | ||||