COURSE OBJECTIVES

•   Software process models and compare their applicability.
•   Identify the key activities in managing a software project.
•  Concepts of requirements engineering and Analysis Modelling.
•   Apply systematic procedure for software design and deployment.
•   Compare and contrast the various testing and maintenance.

                        SCSA1503 - COMPUTER GRAPHICS AND MULTIMEDIA APPLICATIONS

COURSE OBJECTIVES

•  To introduce two and three dimensional graphical structure. 
•  To design 2D and 3D methods and Models. 
•  To explore the visible surface detection with illumination and color models. 
•  To understand the concepts involved in multimedia and basis tools. 
• To gain knowledge on Multimedia compression and animations.

COURSE OUTCOMES

CO1 :   Identify the various line and circle drawing algorithm.

CO2 :    Study the various transformations in 2D and 3D objects.

CO3 :    Understand the concepts of curves and surface.

CO4 :   Apply transformation and clipping algorithm in 2D and 3D objects.

CO5 :   Design Illumination and color models.

CO6 :    Implement 2D and 3D Transformation concepts in Real world Applications

                                               SYLLABUS

UNIT 1      BASICS OF COMPUTER GRAPHICS                                                                    9 Hrs.

Output primitives- Survey of Computer Graphics- Overview of Graphics System- Line drawing Algorithm (DDA Line Drawing Algorithm,  Bresenhams Line Drawing Algorithm)-Circle drawing Algorithm- Curve Drawing Algorithm- Attributes of output Primitives- Antialiasing.

UNIT 2       2D TRANSFORMATIONS AND VIEWING                                                           8 Hrs. 

 2D Transformation and other transformation – 2D and 3D Viewing- Line Clipping(Cohen Sutherland)– Polygon Clipping (Sutherland Hodgeman) – Logical Classification Input Function.

UNIT 3       3D CONCEPTS AND CURVES                                                                               10 Hrs.

 3D Object: Representation Method- B-Rep- Sweep Representation- 3D Transformation – curve generation – Splines – Beziers – Blending of curves other interpolation techniques- Display Durves and Surface – Shape Description Requirements – Parametric function – 3D Concept Introduction – Fractals and Self Similarity – Successive refinement of Curves – Koch Curves and Paeno Curves

UNIT 4       METHODS AND MODELS                                                                                      8 Hrs. 

 Visual Surface detection methods – Illumination models – Halftone Patterns – Dithering Techniques – Polygon Rendering Methods – Ray Tracing Methods – Color methods – Color Applications.

UNIT 5        MULTIMEDIA BASICS AND TOOLS                                                                    10 Hrs.

 Multimedia Basics and Tools – Introduction to Multimedia – Compression and Decompression – Data and File Format Standards – Digital voice and audio video image animation- Introduction to photoshop- workshop tools- Navigating window – Importing and Exporting Images – Operations on Images – resize, Crop, rotate. Introduction to Flash – Elements of Flash Documents – Flash Environment- Drawing Tools – Flash Animation Importing and Exporting – Adding Sounds – Publishing Flash Movies.

                                                                                                                                        Max. 45 Hours 

TEXT / REFERENCE BOOKS

1. Donald Hearn and M. Pauline Baker, Computer Graphics C Version, 2 nd Edition, Prentice Hall, 2006. 

2. Fabio Ganovelli, Massimiliano Corsini, Sumanta Pattanaik, Marco Di Benedetto “Introduction to Computer Graphics: A Practical Learning Approach” Taylor and Frainces Group. 2015. 

3. Tay Vaughan ,”Multimedia”, 5th Edition, Tata McGraw Hill, 2001. 

4. Ze-Nian Li, Mark S. Drew ,”Fundamentals of Multimedia”, Prentice Hall of India, 2004.

 5. D.P. Mukherjee , “Fundamentals Of Computer Graphics And Multimedia ” Prentice Hall of India Private Limited, 2006. 

6. D. McClelland, L.U.Fuller, ”Photoshop CS2 Bible”, Wiley Publishing, 2005

CO1   :  Comprehend machine learning solutions to classification, regression and clustering problems

CO2   :  Understand the strengths and weaknesses of many popular machine learning approaches.

CO3   :  Interpret the results of the algorithms.

CO4   :  Select suitable model parameters for different machine learning techniques.

CO5   :  Design algorithms for real world problems using machine learning algorithm.

CO6   :  Gain experience of doing independent study and research.