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Data Structures  
1. Basic Concepts and Notations, Introduction to Complexity, Data Structure and Data Structure operations. Applications of Data Structure. Basic data Structures: Arrays: Introduction, Types of Array, Memory representation, Applications and operations. Stacks and queue: Introduction, memory representation, Applications and operations 
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3. Trees – Definition and Basic concepts, Representation in Contiguous Storage, Binary Tree, Binary Tree Traversal, Searching, Insertion and deletion in Binary trees, Binary Search tree, AVL trees.
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The syllabus has 15 topics to be covered in 25-hour lectures in total, with 2 lectures in each topic from 2 to 11 and one each for the topics 1 and 12 to 15.

1. Environment Concept: Introduction, the concept of biosphere – lithosphere, hydrosphere, atmosphere; Natural resources – their need and types; Principles and scope of Ecology; concepts of the ecosystem, population, community, biotic interactions, biomes, ecological succession.

2. Atmosphere: Parts of atmosphere, components of air; pollution, pollutants, their sources, permissible limits, risks and possible control measures.

3. Hydrosphere: Types of aquatic systems; Major sources (including ground water) and uses of water, problems of the hydrosphere, fresh water shortage; pollution and pollutants of water, permissible limits, risks and possible control measures.

4. Lithosphere: Earth crust, soil – a life support system, its texture, types, components, pollution and pollutants, reasons of soil erosion and poss…


 1. Introduction to DBMS, Advantages and disadvantages of DBMS, introduction to RDBMS, Codd's Rule for RDBMS, Difference between DBMS and RDBMS. Normalization. Data Models and their types (Hierarchical, Networking, Relational). Introduction to Client-Server Computing, Architecture of Client-Server Computing, Advantages of Client-Server Computing. Introduction to SQL *Plus: Introduction to SQL, Oracle Data types, Starting SQL *Plus, Data Manipulation and 
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