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Course Code: TCS 701
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Course Name: Software Project Management
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UNIT- I
9 Hours
Conventional Software Management : The waterfall model, conventional software
management performance. Evolution of Software Economics: Software economics, Pragmatic
software cost estimation. Improving Software Economics: Reducing software product size,
Improving software processes, Improving team effectiveness, Improving automation, Achieving
required quality, Peer Inspections. Old way and the new: Principles of conventional software
Engineering, Principles of modern software management, Transitioning to an iterative process.
UNIT-II
8 Hours
Life Cycle Phases: Engineering and production stages, Inception, Elaboration, Construction,
Transition phases. Artifacts of The Process: Artifact sets, Management artifacts, Engineering
artifacts, Programmatic artifacts.
UNIT-III
8 Hours
Model Based Software Architectures: A Management perspective and technical perspective.
Work Flows of The Process: Software process workflows, Iteration workflows. Checkpoints of
The Process: Major mile stones, Minor milestones, Periodic status assessments.
UNIT-IV
8 Hours
Project Organizations and Responsibilities: Line-of-business organizations, Project
organizations, Evolution of organizations. Process Automation: Automation Building blocks,
The project environment.
UNIT -V
9 Hours
Project Control and Process Instrumentation: The seven core metrics, Management
indicators, Quality indicators, life cycle expectations, Pragmatic Software metrics, Metrics
automation.
Tailoring the Process: Process discriminants. Future software Project Management: Modern
project profiles, Next generation software economics, modern process transitions.
Case Study: Command Center Processing and Display system: Replacement (CCPDS-R)
Text Book :
1. Software Project Management, Walker Royce: Pearson Education, 2005.
2. Software Project Management in practice, Pankaj Jalote, Pearson Education.2005.
Reference Books :
1. Software Project Management, Bob Hughes and Mike Cotterell: Tata McGraw-Hill
Edition.
2. Software Project Management, Joel Henry, Pearson Education, 2009.
Course Code: TCS 702
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Course Name:
3 0 0 3
Computer Graphics
PC
UNIT-I
10 Hours
Introduction: What is computer graphics and what are the applications, Graphics Systems:
Video display devices, Raster scan and random scan displays, Flat panel displays, Threedimensional viewing devices, Video controller, Input devices, Graphics on the internet,
Graphics software, Coordinate representations.
Introduction to OpenGL, Basic OpenGL syntax, Related libraries, Header Files, Display-window
management using GLUT, A complete OpenGL program.
UNIT-II
10 Hours
Geometric Transformations: Two dimensional translation, Rotation and scaling, Matrix
representations and homogeneous coordinates, Inverse transformations, Composite
transformations, Reflection, Shear, Raster methods for geometric transformations, Geometric
transformations in three-dimensional space, Affine transformations, OpenGL geometrictransformation programming examples.
UNIT-III
8 Hours
Two Dimensional Viewing: Viewing pipeline, Clipping window, Normalization and viewport
transformations, Clipping Algorithms: Cohen-Sutherland line clipping, Liang-Barsky line
clipping, Line clipping against non rectangular clip windows, Polygon Clipping: SutherlandHodgman, Weiler-Atherton, Curve clipping, Text clipping
UNIT-IV
8 Hours Three
dimensional viewing, Transformations from world to viewing coordinates, 3-D Clipping ThreeDimensional Object Representations: Polyhedra, Curved and quadric surfaces, Blobby
objects, Spline representations, Bezier spline curves, Bezier surfaces, B-spline curves, B-spline
Surfaces, Octrees, Introduction to fractals.
UNIT-V
8 Hours Visible
Surface Detection Methods: Classification, Back-Face detection, Depth-Buffer method, Abuffer method, Scan-line method, Curved surfaces.
Illumination Models and Surface Rendering Methods: Basic illumination models- Ambient
light, Diffuse reflection, Specular reflection and the Phong model,
Polygon Rendering Methods: Gouraud surface rendering, Phong surface rendering, Ray
tracing, Texture mapping.
Text Book:
1. Computer Graphics with OpenGL by Donald Hearn and M. Pauline Baker, Pearson ,Third
Edition, 2004,
Reference Books:
1. J.D. Foley, A. Dam, S.K. Feiner, Graphics Principle and Practice , Addison Wesley
2. Rogers, “ Procedural Elements of Computer Graphics”, McGraw Hill, 1997.
Course Code: TCS 703
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Course Name: Big Data Analysis
3
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UNIT-I
8 Hours
Introduction to Big Data Analytics
Overview of Big Data, State of practice of analytics, Big Data Analytics in industry verticals,
Data analytics lifecycle, Discovery, Data preparation, Model planning, Model building,
Communicating results and findings and operationalizing.
UNIT-II
8 Hours
R for Initial Analysis of the Data
Introduction to using R Initial exploration and analysis of data using R, Basic visualization
using R. R package as a tool to perform basic data analytics, Reporting and applying basic data
visualization techniques, Basic analytics methods such as distribution, Statistical test and
summary operation and differentiate between result and that are statistical sound vs statistical
significant.
UNIT-III
10 Hours
Advanced Analytics and Statistical Modeling for Big Data – Theory and methods examining
analytic needs and select an appropriate technique based on business objective, Initial
hypotheses and the data structure and volume, analytics solution, Algorithm and methods,
Diagnostic method to validate models created use R and in-database analytical function to fit,
Score and evaluate models.
Methods used by a Data Scientist: Candidate selection using the Naïve Bayesian classifier,
Categorization using K-means clustering, Association rules, Predictive modelling using decision
trees, Linear and logistic regression using time-series analysis and text analysis.
UNIT-IV
8 Hours
Advanced Analytics and Statistical Modeling for Big Data – Technology and Tools Tools to
perform analytics on unstructured data using Map-Reduce programming paradigm. Hadoop,
HDFS, HIVE, PIG and other products in the Hadoop ecosystem for understanding data
analytics, Advanced SQL function, Greenplum extension and MADlib
UNIT-V
8 Hours
Articulate three tasks needed to operationalize an analytic project, Four common deliverables
of an analytics lifecycle project, Framework for creating final presentation for sponsors and
analysts, Evaluate a data visualization and identify ways to improve it.
Text Books:
1. Analytics in Practice, Soumendra Mohanty,Publisher: Tata Mcgraw Hill Education 2011.
2. Agile Analytics, A Value-Driven Approach to Business Intelliegence and data
warehousing,Ken W.Collier publisher: Pearson Education, 2012.
Reference Book:
1. MapReduce Design Patterns, DonaldMiner,O’Reilly,2012.
Course Code: TCS 713
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Course Name: Business Intelligence
3
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3
UNIT-I
8 Hours
Overview and concepts of Data Warehousing and Business Intelligence
Introduction to Data Warehouse, Data Warehouse Architecture, Concept of Data Mart,
Unstructured, Semi Structured , Structured data, Metadata, Types of metadata, Metadata
benefits, Introduction to Business Intelligence, Introduction to OLTP and OLAP, BI Definitions,
Business Applications of BI, Role of Data Warehousing in BI, BI Infrastructure Components.
UNIT-II
8 Hours
Modeling Techniques
Introduction to Multi-Dimensional Data Modeling, Introduction to data and dimension
modeling, multidimensional data model, ER Modeling vs. multi dimensional modeling, concepts
of dimensions, facts, cubes, attribute, hierarchies, star and snowflake schema.
UNIT-III
10 Hours
Basics of Data Integration (Extraction Transformation Loading)
Concepts of data integration need and advantages of using data integration, introduction to
common data integration approaches, introduction to ETL using SSIS, Data Quality ,Data
Profiling, Basics of Data mining, Data mining process ,Applications of Data Mining.
,
UNIT-IV
10 Hours
Measures, Metrics, KPIs, and Performance Management
Understanding the Measures and Performance, Navigating the Business Enterprise, Role of
Metrics, Metrics supply chain, Fact-based decision making and KPIS, KPI usage in companies,
Business Intelligence for ERP, Business Intelligence and Cloud computing
UNIT-V
10 Hours
Basics of Enterprise Reporting
Introduction to Enterprise Reporting, concepts of dashboards,
Introduction to SSRS Architecture, Enterprise reporting using SSRS
balanced
scorecards,
TEXT BOOK
1. Fundamentals of Business Analytics – Authored by RN Prasad, Seema Acharya
REFERENCE BOOKS:
1.
2.
3.
4.
Business Intelligence by David Loshin
Business intelligence for the enterprise by Mike Biere
Business intelligence roadmap by Larissa Terpeluk Moss, Shaku Atre
Successful Business Intelligence: Secrets to making Killer BI Applications by Cindi
Howson
5. Delivering business intelligence with Microsoft SQL server 2008 by Brain, Larson
Course Code: TCS 722
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Course Name: Ad-Hoc and Sensor Network
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0 0 3
UNIT-I
8 Hours
AD-HOC MAC: Introduction, Issues in Ad-Hoc wireless networks, MAC Protocols, Issues,
Classifications of MAC protocols, Multi channel MAC & Power control MAC protocol, Security
Issues.
UNIT-II
9 Hours
AD-HOC Network Routing & TCP: Issues, Classifications of routing protocols, Hierarchical
and power aware, Multicast routing, Classifications, Tree based, Mesh based, Ad Hoc transport
layer issues. TCP over Ad Hoc, Feedback based, TCP with explicit link, TCP-BUS, Ad Hoc TCP
and Split TCP.
UNIT-III
8 Hours
WSN –MAC: Introduction, Sensor network architecture, Data dissemination and Gathering,
MAC protocols, self-organizing, Hybrid TDMA/FDMA and CSMA based MAC.
UNIT-IV
8 Hours
WSN Routing, Localization & QOS: Issues in WSN routing, OLSR, AODV, Localization, Indoor
and Sensor Network Localization, QoS in WSN.
UNIT-V
9 Hours
Mesh Networks: Necessity for Mesh Networks, MAC enhancements, IEEE 802.11s
Architecture, Opportunistic routing, Self configuration and Auto configuration, Capacity
Models, Fairness, Heterogeneous mesh networks, Vehicular mesh networks.
Text Books:
1. C.Siva Ram Murthy and B.Smanoj, “ Ad Hoc Wireless Networks – Architectures and
Protocols”, Pearson Education, 2004.
2. Feng Zhao and Leonidas Guibas, “Wireless Sensor Networks”, Morgan Kaufman Publishers,
2004.
Reference Books:
1. C.K.Toh, “Ad Hoc Mobile Wireless Networks”, Pearson Education, 2002.
2. Thomas Krag and Sebastin Buettrich, “Wireless Mesh Networking”, O’Reilly
2007.
Publishers,