Course Name: 

Data Analytics (IT368)


B.Tech (IT)




Programme Specific Electives (PSE)

Credits (L-T-P): 



Introduction to Data analysis: statistical modeling, total information awareness, Bonferroni's Principle; Distributed File systems: MapReduce and Spark; Dimensionality Reduction: PCA, SVD, IGA; Finding Similar Items: Distance Measures, Near Neighbour Search, Similarity based search algorithms; Mining Data Streams: Stream Data Model, Sampling, filtering, Counting distinct elements; Link Analysis: Hubs and Authorities, PageRank, Personalized PageRank; Recommendation Systems: Content based, Collaborative filtering, Hybrid models, Evaluating recommender systems; Mining Social-network Graphs: graph centrality concepts, clustering, community detection, partitioning, overlapping community detection, SimRank; Applications of Large-scale Machine Learning, Current trends and research.


1. Jure Leskovec, Anand Rajaraman and Jeffrey David Ullman, "Mining of Massive Datasets" Cambridge University Press, 2014 2. Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani, "An Introduction to Statistical Learning with Applications in R", Springer, 2013 3. Nina Zumel and John Mount, "Practical Data Science with R", 2014, Manning Publishers


Information Technology

Contact us

Jaidhar C D

Head of the Department,
Department of Information Technology,
National Institute of Technology Karnataka,
SurathkalP. O. Srinivasnagar, Mangalore - 575 025
Ph.:    +91-824-2474056
Email:  hodit[AT]nitk[DOT]edu[DOT]in


Web Admin: Sowmya Kamath S

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