SITA1502 CUSTOMER INTERFACE DESIGN AND DEVELOPMENT

SCSA1602 - NETWORK SECURITY

SCSA1603 - BIG DATA ANALYTICS

BIG DATA ANALYTICS

SCSA3002 QUALITY ENGINEERING

SCSA1601-Machine Learning

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.


SIT1304 CLOUD COMPUTING

SCSA1604-Compiler Design

  1. The Objectives of this course is to explore the principles, algorithms, and data structures involved in the design and construction of compilers. Compiler Design will teach students the fundamental concepts and techniques used for building a simple compiler. 
  2. The course will introduce the theory and tools that can be employed in order to perform syntax-directed translation of a high-level programming language into an executable code.
  3. This course includes context-free grammars, lexical analysis, parsing techniques, symbol tables, error recovery, code generation, and code optimization.
  4. At the end of the course, students will understand different considerations and phases of compilation, the impact of language attributes upon the compilation process, the effect of hardware feature on the generated code and the practical fundamentals of compiler implementation.