Discrete : Binomial, Poisson, Negative Binomial, Geometric, Uniform Distributions. Continuous: Uniform, Exponential, Erlang and Gamma, Weibull Distributions. Unit-III Stochastic processes Classification of Stochastic Processes Bernoulli process Poisson process Pure process Birth and Death – – – – process. Unit-IV Markov chains & Queuing theory Introduction Discrete-Parameter Markov Chains Transition Probability Matrix Chapman Kolmogorov Theorem – – – – State classification and limiting distributions. Characteristics of Markovian Single server and Multi server queuing models; Queuing System Pollaczek Khinchin – formula. Text book Kishore.S.Trivedi, & Statistics with Reliability, Queuing and Computer Science Applications”, PHI, New “Probability Delhi, 1995. Veerajan T, Statistics and Random Processes”, 3rd Edition Tata McGraw Hill,2002. “Probability, Reference Books Gupta S.C and Kapoor V.K, of Mathematical Statistics”, 9th Ed, SChand & Co. “Fundamentals Gross.D and Harris.C.M. of Queuing theory”, John Wiley and Sons, 1985. “Fundementals Allen.A.O., Statistics and Queuing Theory”, Academic Press, 1981. “Probability, MTIT-106 A Design Patterns Lecture Practical Major Test Minor Test Total Time 4 1 - 75 25 100 3 Purpose To familiarize students with advanced skills in object-oriented design and programming Course Outcomes CO 1 Understand common design patterns CO 2 Be able to identify appropriate patterns for design problems CO 3 Be able to evaluate the quality of software source code CO 4 Be able to refactor badly designed program by properly using design patterns Unit-I Introduction to design patterns Design Patterns from Architecture and Anthropology - Architectural to Software Design Patterns - Advantages of Design Patterns - Adapter Pattern - Strategy Pattern - Bridge Pattern - Abstract Factory Pattern. Unit-II New paradigm of design Principles and Strategies of Design Patterns - Open-Closed Principle Designing from Context - Encapsulating – Variation. Commonality and Variability Analysis - Analysis Matrix - Decorator Pattern.
Discrete : Binomial, Poisson, Negative Binomial, Geometric, Uniform Distributions. Continuous: Uniform, Exponential, Erlang and Gamma, Weibull Distributions. Unit-III Stochastic processes Classification of Stochastic Processes – Bernoulli process – Poisson process – Pure process – Birth and Death process. Unit-IV Markov chains & Queuing theory Introduction – Discrete-Parameter Markov Chains – Transition Probability Matrix – Chapman Kolmogorov Theorem – State classification and limiting distributions. Characteristics of Markovian Single server and Multi server queuing models; Queuing System – Pollaczek Khinchin formula. Text book Kishore.S.Trivedi, “Probability & Statistics with Reliability, Queuing and Computer Science Applications”, PHI, New Delhi, 1995. Veerajan T, “Probability, Statistics and Random Processes”, 3rd Edition Tata McGraw Hill,2002. Reference Books Gupta S.C and Kapoor V.K, “Fundamentals of Mathematical Statistics”, 9th Ed, SChand & Co. Gross.D and Harris.C.M. “Fundementals of Queuing theory”, John Wiley and Sons, 1985. Allen.A.O., “Probability, Statistics and Queuing Theory”, Academic Press, 1981. MTIT-106 A Design Patterns Lecture Practical Major Test Minor Test Total Time 4 1 - 75 25 100 3 Purpose To familiarize students with advanced skills in object-oriented design and programming Course Outcomes CO 1 Understand common design patterns CO 2 Be able to identify appropriate patterns for design problems CO 3 Be able to evaluate the quality of software source code CO 4 Be able to refactor badly designed program by properly using design patterns Unit-I Introduction to design patterns Design Patterns from Architecture and Anthropology - Architectural to Software Design Patterns - Advantages of Design Patterns - Adapter Pattern - Strategy Pattern - Bridge Pattern - Abstract Factory Pattern. Unit-II New paradigm of design Principles and Strategies of Design Patterns - Open-Closed Principle – Designing from Context - Encapsulating Variation. Commonality and Variability Analysis - Analysis Matrix - Decorator Pattern.
Annexure-%20G2%20M_%20Tech_%20in%20Information%20technology.docx