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 Syllabus                                                                                                                 
Issues of technical writing and effective oral presentation in Computer Science and Engineering; Writing styles of definitions, propositions, theorems, and proofs; Preparation of reports, research papers, theses, and books: abstract, preface, contents, bibliography and index; Writing of book reviews and referee reports; Writing tools: LATEX; Diagram drawing software; presentation tools.



 Books 
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 Lecture Slides 

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> Lecture-1

> Lecture-2

> Lecture-3

> Lecture-4

> Lecture-5

> Lecture-6

> Lecture-8



 Questions of Previous Years 

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  Notes / Suggestions 
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 Topicwise Questions 
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  Others  
Papers: Click Here

ML Papers: 
> A Molecular Communication-Based Simultaneous Targeted-Drug Delivery Scheme

> A Simultaneous Drug Release Scheme for Targeted Drug Delivery Using Molecular Communications

> A Time-Slotted Data Gathering Medium Access Control Protocol Using Q-Learning for Underwater Acoustic Sensor Networks

> Analysis and Winning Prediction in T20 Cricket using Machine Learning

> An improved algorithm for string matching using index based shifting approach

> Descriptive and Predictive Analytics on Electronic Health Records using Machine Learning

> ECG Based Stress Detection Using Machine Learning

> Flood Prediction Using Machine Learning Models

> Food Review Analysis and Sentiment Prediction using Machine Learning Models

> An Efficient Hybrid Exact String Matching Algorithm to Minimize the Number of Attempts and Character Comparisons

> In-Body Sequential Multidrug Delivery Scheme Using Molecular Communication

> Intelligent System to Analyse Plant Diseases using Machine Learning Techniques

> Machine Learning Algorithms for 5G and Internet-of-Thing (IoT) Networks

> Machine Learning Based Crop Suggestion System

> Performance Comparison of Multiple Supervised Machine Learning Algorithms for COVID-19 Mortality Prediction

> Power Control for MACA-based Underwater MAC Protocol: A Q-Learning Approach

> Real Time Signature Forgery Detection Using Machine Learning

> Traffic Prediction for Intelligent Transportation System Using Machine Learning



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