Important Questions with Answers: All Subjects | BTech Exam Prep

Big Data AnalyticsEntrepreneurshipResearch MethodologyWireless and MobileDIP and Pattern Recognition

Important questions with answers for every subject, collected from the course question banks, class tests and assignments, grouped unit-wise with very short, short and long answers. Original study notes, not official university papers or predictions. New subjects are added as their question banks are completed.

Big Data Analytics

Hadoop, HDFS, MapReduce and the big data pipeline - unit-wise important questions with answers.

• Big Data Analytics Exam Prep: Units 1-3
• Unit 1: Basics - Unit 2: Hadoop and HDFS - Unit 3: MapReduce

Entrepreneurship Development

Entrepreneurship concepts, idea evaluation, business plans and start-up finance - the complete question bank with answers.

• Entrepreneurship Development Important Questions with Answers

Research Methodology and IPR

Research design, data collection, statistics, report writing, patents and intellectual property rights - 225 question-bank answers plus assignment and class-test scenario questions, Units 1-5.

• Research Methodology and IPR Important Questions with Answers

Wireless and Mobile Communication

Cellular concepts, large-scale and small-scale fading, multipath, Doppler and coherence parameters - the complete Units 1-3 question bank with 1-mark, 5-mark and 10-mark answers.

• Wireless and Mobile Communication Important Questions with Answers

Digital Image Processing and Pattern Recognition

From pixels and pattern recognition basics to Bayesian classifiers, image enhancement, morphology, feature extraction, PCA and nonparametric methods - a chapter-wise series covering all five units of the question bank.

• DIP and Pattern Recognition: All Units index
• Chapter 1: Introduction - Chapter 2: Statistical Pattern Recognition
• Chapter 3: Image Preliminaries - Chapter 3 Part 2: Enhancement, Filtering and Morphology
• Chapter 4: Feature Extraction and Dimension Reduction - Chapter 5: Nonparametric Techniques

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