Data Analysis & Trends in Computer Science

Paper Code: 
CSC-143
Credits: 
04
Max. Marks: 
100.00
Objective: 

This course will enable students:

  1. To identify the techniques for data analysis.
  2. To obtain inputs on report writing and presentation for Computer Sc. Research.
  3. To get an overview of the trends, paradigms and services from different domains of Computer Sc.

 

12.00
Unit I: 

Data Analysis: Sensitivity Analysis with Data Tables, Goal seek, Scenario Manager, Optimization with EXCEL Solver, Introduction to MATLAB, Summarizing Data with Histograms and Descriptive Statistics.

 

Pivot Tables: Summarizing Data with database statistical functions, using correlation, Multiple Regression, ANOVA, Using Resampling to Analyze Data, Working with charts, Introduction to Statistical Analysis of data.

 

Significance of Report Writing: Different Steps in writing Report, Layout of the Research Report, Types of Reports, Mechanics of Writing a research Report, Precautions for Writing Research Reports.

 

12.00
Unit II: 

Review of Elementary data Structures: Greedy method, Knapsack problem, job sequencing with deadlines, optimal merge patterns, Dynamic Programming: Multistage graphs Optimal binary search trees, 0/1 knapsack, Reliability design, The traveling salesperson problem, Flow shop scheduling.

 

Basic search and traversal techniques: The techniques, Code Optimization Biconnected components and depth first search.

 

Backtracking: The 8–Queens Problem, Hamiltonian cycles, Knapsack problem.

12.00
Unit III: 

Object Oriented Paradigm: Characteristics of object oriented approach, objects, classes, inheritance, reusability, user defined data types, polymorphism, overloading, Comparison between functional and OO Approach.

 

Object Oriented Methodology: Rumbaugh, Booch, Jacobson, Shaler/Mellor, Coad/Yardon, Patterns & frameworks.

 

Unified Modeling Language: Basic structures and modeling classes, common modeling techniques, relationships, common mechanism, class diagrams.

 

 

12.00
Unit IV: 

Distributed Objects and components: From Distributed Objects to components, 3 Tier Client Server Architecture.

 

CORBA: Distributed Objects, CORBA style, OMG’s object management architecture, CORBA 2.0, CORBA Object Services, CORBA common facilities CORBA business objects.

 

J2EE: Overview, Multi-tier Architecture, The Enterprise Application Architecture, Clients Sessions management, Web Tier, ELB Tier, J2EE Web Services.

12.00
Unit V: 

New Computing Paradigms & Services: Cloud computing, Edge computing, Grid computing, Utility computing.

 

Introduction to Cloud Computing: Cloud Computing Architectural Framework, Cloud Deployment Models, Virtualization in Cloud Computing, Parallelization in Cloud Computing, Security for Cloud Computing, Cloud Economics.

 

Basics of Service Models: Software as a Service (SaaS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS).

 

Foundational Elements of Cloud Computing: Introduction to Grid technology, Browser as a platform (BaaP), Introduction to Web 2.0.

 

ESSENTIAL READINGS: 
  1. Jinjer Simon, Excel Data Analysis: Your Visual Blueprint for Creating and Analyzing Data, Charts and PivotTables, Wiley, 2007.
  2. Wayne L. Winston, Microsoft Excel Data Analysis and Business Modeling

Microsoft Press, 2004.

  1. Alfred V. Aho, John E. Hopcroft and Jeffrey D. Ullman, “An introduction to Data structures with Applications”, Tata McGraw-Hill, 36th Edition, 2008.
  2. Ellis Horowitz and Sartaj Sahani, “Computer Algorithms”, Galgotia Publications (P) Ltd., 1993.
  3. Michael R. Blaha, James R Rumbaugh, Object-Oriented Modeling and Design with UML (2nd Edition), Prentice Hall, 2004.
  4. Peter Coad and Edward Yourdon, “Object Oriented Analysis”, 2nd Edition,

Prentice Hall, 1991.

 

Academic Year: 
2020-21
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