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**Anna University**

**Question Paper Code : 20358**

**B.E/B.Tech. DEGREE EXAMINATION, NOVEMBER/DECEMBER 2018.**

**Third**

**Semester**

**Computer Science and Engineering**

**CS6301 Programming and Data Structure II**

**(**

**Common to**

**Information Technology**

**)**

**( Regulation 2013 )**

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**CS6301 Programming and Data Structure II syllabus**

OBJECTIVES:

The student should be made to:

- Be familiar with the C++ concepts of abstraction, encapsulation, constructor, polymorphism, overloading and Inheritance.

- Learn advanced nonlinear data structures.

- Be exposed to graph algorithms

- Learn to apply Tree and Graph structures

UNIT I OBJECT ORIENTED PROGRAMMING FUNDAMENTALS

C++ Programming features – Data Abstraction – Encapsulation – class – object – constructors – static members – constant members – member functions – pointers – references – Role of this pointer – Storage classes – function as arguments.

UNIT II OBJECT ORIENTED PROGRAMMING CONCEPTS

String Handling – Copy Constructor – Polymorphism – compile time and run time polymorphisms – function overloading – operators overloading – dynamic memory allocation – Nested classes – Inheritance – virtual functions.

UNIT III C++ PROGRAMMING ADVANCED FEATURES

Abstract class – Exception handling – Standard libraries – Generic Programming – templates – class template – function template – STL – containers – iterators – function adaptors – allocators – Parameterizing the class – File handling concepts.

UNIT IV ADVANCED NON-LINEAR DATA STRUCTURES

AVL trees – B-Trees – Red-Black trees – Splay trees – Binomial Heaps – Fibonacci Heaps – Disjoint Sets – Amortized Analysis – accounting method – potential method – aggregate analysis.

UNIT V GRAPHS

Representation of Graphs – Breadth-first search – Depth-first search – Topological sort – Minimum Spanning Trees – Kruskal and Prim algorithm – Shortest path algorithm – Dijkstra’s algorithm – Bellman-Ford algorithm – Floyd – Warshall algorithm.

TOTAL: 45 PERIODS

OUTCOMES:

At the end of the course, the student should be able to:

- Design problem solutions using Object Oriented Techniques.

- Apply the concepts of data abstraction, encapsulation and inheritance for problem solutions.

- Use the control structures of C++ appropriately.

- Critically analyse the various algorithms.

- Apply the different data structures to problem solutions.

TEXT BOOKS:

Bjarne Stroustrup, “The C++ Programming Language”, 3rd Edition, Pearson Education, 2007.

Mark Allen Weiss, “Data Structures and Algorithm Analysis in C++”, 2nd Edition, Pearson Education, 2005

REFERENCES:

Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein, “Introduction to Algorithms”, Second Edition, Mc Graw Hill, 2002.

Michael T Goodrich, Roberto Tamassia, David Mount, “Data Structures and Algorithms in C++”,

The student should be made to:

- Be familiar with the C++ concepts of abstraction, encapsulation, constructor, polymorphism, overloading and Inheritance.

- Learn advanced nonlinear data structures.

- Be exposed to graph algorithms

- Learn to apply Tree and Graph structures

UNIT I OBJECT ORIENTED PROGRAMMING FUNDAMENTALS

C++ Programming features – Data Abstraction – Encapsulation – class – object – constructors – static members – constant members – member functions – pointers – references – Role of this pointer – Storage classes – function as arguments.

UNIT II OBJECT ORIENTED PROGRAMMING CONCEPTS

String Handling – Copy Constructor – Polymorphism – compile time and run time polymorphisms – function overloading – operators overloading – dynamic memory allocation – Nested classes – Inheritance – virtual functions.

UNIT III C++ PROGRAMMING ADVANCED FEATURES

Abstract class – Exception handling – Standard libraries – Generic Programming – templates – class template – function template – STL – containers – iterators – function adaptors – allocators – Parameterizing the class – File handling concepts.

UNIT IV ADVANCED NON-LINEAR DATA STRUCTURES

AVL trees – B-Trees – Red-Black trees – Splay trees – Binomial Heaps – Fibonacci Heaps – Disjoint Sets – Amortized Analysis – accounting method – potential method – aggregate analysis.

UNIT V GRAPHS

Representation of Graphs – Breadth-first search – Depth-first search – Topological sort – Minimum Spanning Trees – Kruskal and Prim algorithm – Shortest path algorithm – Dijkstra’s algorithm – Bellman-Ford algorithm – Floyd – Warshall algorithm.

TOTAL: 45 PERIODS

OUTCOMES:

At the end of the course, the student should be able to:

- Design problem solutions using Object Oriented Techniques.

- Apply the concepts of data abstraction, encapsulation and inheritance for problem solutions.

- Use the control structures of C++ appropriately.

- Critically analyse the various algorithms.

- Apply the different data structures to problem solutions.

TEXT BOOKS:

Bjarne Stroustrup, “The C++ Programming Language”, 3rd Edition, Pearson Education, 2007.

Mark Allen Weiss, “Data Structures and Algorithm Analysis in C++”, 2nd Edition, Pearson Education, 2005

REFERENCES:

Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein, “Introduction to Algorithms”, Second Edition, Mc Graw Hill, 2002.

Michael T Goodrich, Roberto Tamassia, David Mount, “Data Structures and Algorithms in C++”,

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