Anupriya Koneru

  BIOINFORMATICS Course Name & Code             : Bioinformatics& 17IT92 (Add-on course III) L-T-P Structure                         : 3-0-0                                                                           Credits : 3 Program/Sem/Sec                     : B.Tech., I.T., VII-Sem.            ...

Data Mining and Data Warehousing Pre-Requisite:  Database Management Systems COURSE EDUCATIONAL OBJECTIVES (CEOs) :  Students will be enabled to understand and implement classical models and algorithms in data warehousing and data mining. They will learn how to analyze the data, identify the problems, and choose the relevant models and algorithms to apply. COURSE OUTCOMES (COs):  At the end of the course, students are able to CO 1 Understand the basic concepts of data warehouse & data mining. CO 2 Apply data pre-processing, generalization and data characterization techniques to provide suitable input for a range of data mining algorithms. CO 3 Analyze and provide solutions for real world problems using mining association techniques. CO 4 Examine the different classification & clustering techniques in data mining. CO 5 Apply data mining techniques to complex data objects like spatial data, multimedia data and web mining. ...

INTERNSHIP SEMINAR PRESENTATION:   https://drive.google.com/file/d/1lkuMEOQHKgBJnm95JJDyg9K-G0M_29uT/view?usp=sharing

S152 - BUSINESS INTELLIGENCE AND BIG DATA   COURSE EDUCATIONAL OBJECTIVES: The course covers Big Data Fundamentals, including the characteristics of Big Data, the sources Big Data (such as social media, sensor data, and geospatial data), as well as the challenges imposed around information management, data analytics, privacy and security, as well as platforms and architectures. Emphasis will be given to non-relational databases by examining techniques for storing and processing large volumes of structured and unstructured data, streaming data as well as complex analytics on them. Data warehouses will also be presented as a solution to handling big data and business intelligence applications. Business Intelligence (BI) systems in terms of its tools, current practices and impacts .The students should acquire knowledge on how to design BI solutions for different BI targets and users. COURSE OUTCOMES: At the end of this course, you should be able to: CO1: Outline basic con...