Available courses

CS 636 (Mathematics-I: Linear Algebra and Probability)

DUGC CSE- BTP

TEST

Safety and Security

CS352-Computer Graphics & Visualization Lab (Spring 2019)

This Course is designed to provide an introduction to the theory and practice of computer graphics and an insight of modern computer graphics systems. Students will understand the basic principles of computer graphics primitives and able to design application specific computer graphics program. This course will also provide familiarity with key algorithms for modelling and rendering graphical data.

 Advanced Algorithms

CS 203-Data Structure and Algorithms(Autumn Sem 2023)

Data Structure and Algorithms( Autumn 2022)

CS 203 Data Structures and Algorithms (2021 Autumn Semester)-01- Only For Rishi Parsai [200001068]

This exam is only for the student (Rishi Parsai [200001068]) who is suffering from visual impairment.

CS 203 Data Structures and Algorithms (2021 Autumn Semester)

CS204-Design and Analysis of Algorithms

CS203-Data Structure & Algorithms (Autumn 2020)

CS253-Data Structures and Algorithms Lab (Autumn 2019)

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CS 208: Software Engineering-01- Only For Rishi Parsai [200001068]

CS-208 Software Engineering (2022 Spring Semester)

Design and Analysis of Algorithms Lab (Spring 2022)

Software Engineering

CS202-Automata Theory and Logic

Design and Analysis of Algorithms Lab (Spring 2020)

CS309 Parallel Computing (Autumn 2024)

CS309 Parallel Computing (Autumn Sem 2023)

CS 359 Parallel Computing Lab(Autumn Sem 2023)

CS 307/357 Optimization Algorithms and Techniques

CS 309 Parallel Computing ( Autumn Sem 2021)

Operating Systems

Parallel Computing

CS 357 Optimization Algorithms and Techniques Lab 2019 Autumn

CS 302 Computer Graphics and Visualization(Spring 2021)

CS352-Computer Graphics & Visualization Lab (Spring 2020)

This Course is designed to provide an introduction to the theory and practice of computer graphics and an insight of modern computer graphics systems. Students will understand the basic principles of computer graphics primitives and able to design application specific computer graphics program. This course will also provide familiarity with key algorithms for modelling and rendering graphical data.

CS 411- Advanced Algorithms( Spring Sem 2023)

CS 411- Advanced Algorithms(Autumn Sem 2022)

CS 425/625-Natural language processing

CS 411/CS 611-Advanced Algorithms (Autumn 2021)

Computer Vision (CS 419/ CS 619)

CS 432/632 Reinforcement Learning

CS 428/628-Algorithmic Graph Theory

DSM 304: Research Methodology (Batch 2021)

DSM 303: Introduction to AI (Batch 2021)

DSM 302: Machine Learning Foundations (Batch 2021)

DSM 301: Data Visualization (Batch 2021)

This course will introduce the different tools of Data visualisation and will provide a coverage of story telling using interactive and state-of-the-art Python based library. 

DSM 411: Data Analytics in Bioinformatics (Batch 2021)

DSM 410: Computer Vision (Batch 2021)

DSM 407: Mathematical and Statistical Methods for Data Science-2 (Batch 2021)

DSM 406:Advanced Machine Learning (Batch 2021)

DSM 506: Deep Learning (Batch 2021)

DSM 507: Pattern Recognition for Machine Learning (Batch 2021)

DSM 508: Applications of Machine learning in Spatial Data Analysis (Batch 2021)

DSM 509: Applied Data Science and Blockchain Fundamentals and Applications (Batch 2021)

DSM 102: Programming Fundamentals for Data Science (Batch 2023)

DSM 301: Data Visualization (Batch 2023)

DSM 302: Machine Learning Foundations (Batch 2023)

DSM 303: Introduction to AI (Batch 2023)

DSM 304: Research Methodology (Batch 2023)

DSM 407: Mathematical and Statistical Methods for Data Science-2 (Batch 2023)

DSM 406:Advanced Machine Learning (Batch 2023)

DSM 415: Data Sources Discrete Data Models (Batch 2023)

DSM 410: Computer Vision (Batch 2023)

DSM 103: Data Structures (Batch 2024)

DSM 102: Programming Fundamentals for Data Science (Batch 2024)

DSM 101: Probability and Statistics (Batch 2024)