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General Aptitude
- 3,528 questions
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Verbal Aptitude
- 850 questions - Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech
Basic vocabulary: words, idioms, and phrases in context
Reading and comprehension
Narrative sequencing
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Quantitative Aptitude
- 2,039 questions - Data interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2- and 3-dimensional plots, maps, and tables
Numerical computation and estimation: ratios, percentages, powers, exponents and logarithms, permutations and combinations, and series
Mensuration and geometry
Elementary statistics and probability
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Spatial Aptitude
- 100 questions - Transformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping
Paper folding, cutting, and patterns in 2 and 3 dimensions
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Analytical Aptitude
- 509 questions - Logic: deduction and induction, Analogy, Numerical relations and reasoning
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Engineering Mathematics
- 10,458 questions
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Digital Logic
- 3,569 questions
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Programming and DS
- 6,181 questions
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Algorithms
- 4,829 questions
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Theory of Computation
- 6,933 questions
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Compiler Design
- 2,458 questions
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Operating System
- 5,221 questions
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Databases
- 4,845 questions
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CO and Architecture
- 3,969 questions
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Computer Networks
- 4,881 questions
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Artificial Intelligence
- 79 questions - Search: informed, uninformed, adversarial; logic, propositional, predicate; reasoning under
uncertainty topics - conditional independence representation, exact inference through variable
elimination, and approximate inference through sampling.
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Machine Learning
- 48 questions - (i) Supervised Learning: regression and classification problems, simple linear regression, multiple linear regression, ridge regression, logistic regression, k-nearest neighbour, naive Bayes classifier, linear discriminant analysis, support vector machine, decision trees, bias-variance trade-off, cross-validation methods such as leave-one-out (LOO) cross-validation, k-folds cross-validation, multi-layer perceptron, feed-forward neural network; (ii) Unsupervised Learning: clustering algorithms, k-means/k-medoid, hierarchical clustering, top-down, bottom-up: single-linkage, multiplelinkage, dimensionality reduction, principal component analysis.
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Data Mining and Warehousing
- 25 questions - UGCNET Syllabus: Data Modeling for Data Warehouses, Concept Hierarchy, OLAP and OLTP; Association Rules, Classification, Clustering, Regression, Support Vector Machine, K-Nearest Neighbour, Hidden Markov Model, Summarization, Dependency Modeling, Link Analysis, Sequencing Analysis, Social Network Analysis.
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Non GATE
- 1,441 questions
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Others
- 2,725 questions
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Admissions
- 691 questions
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Exam Queries
- 1,578 questions
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Tier 1 Placement Questions
- 17 questions - Questions asked in top company placement interviews
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Job Queries
- 81 questions
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Projects
- 11 questions - Good project works in Computer Science Field
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Unknown Category
- 873 questions - These questions need to be properly classified
