1. Introduction, 2. Computer Science, 3. C++ Input and Output Programmes, 4. Data Structures,5. Binary Search Tree Programme, 6. Statements., 7. Arithmetic Operators, 8. Arrays and Pointers, 9. C++ Class Science..
Beginning of Computer Science,Structure and Function of Computers,Communication and Sharing Technology,Computer Science Education,Computer Applications,Computer Networks,IP Routing in Computer Networks,Topology in Computer Networks,Uses of Devices in Computer Networks..
1. The Protection of Information in Computer Systems, 2. Status of Security in Computing, 3. Cyber Security,, 4. Network Security, 5. Security in IT, 6. Data Security, 7. Cyber Criminal Activity, 8. Internet Infrastructure, 9. Multimedia Networking..
Introduction to Computer,Generation of Computers and Computer Applications,Architecture of Computer Science,Advance Communications,The Meaning of Computer Security,Designing of Algorithms,Data Structures..
1. Motors, 2. Software Testing, 3. System-Level Design, 4. Some Example, 5. Control Applications, 6. Installing and Using a Version Control System, 7. Embedded State Machine Implementation, 8. Firmware Musings, 9. Hardware Musings, 10. Analog I/Os, 11. Embedded Processors..
Introduction,Digital Logic,Database Management Systems, A Security Protocol for Peripheral Devices,Implementation Planning in Information Technology,Management Information Systems, Computer System, Wireless Information Technology..
1. Digital World and Artificial Intelligence, 2. Agent of Simulation and Intelligence, 3. The Multi Agent Model, 4. World of Intelligent Computational Entities, 5. Multi Criteria Classification Method, 6. Process Modelling, 7. Process Control and Fault Diagnosis,..
1. Introduction, 2. Cyber Physical System Domain, 3. Medical Cyber-Physical Systems, 4. Energy Cyber-Physical Systems, 5. Cyber-Physical Systems Built on\r\nWireless Sensor Networks, 6. Software and Platform Issues in Control Systems, 7. Logical Correctness for Hybrid Systems, 8. Security of Cyber P..
1. Introduction to Data Mining, 2. Data Mining Theory, 3. Predicting Quality Outcomes Through Data Mining, 4. Techniques of Data Mining, 5. Association Rules Mining in Inventory Database, 6. Business Intelligence, 7. Data Processing..
1. Introduction to Data Structures, 2. Advance Data Structure, 3. Data Types, 4. Algorithmsm, 5. Arrays, 6. Stacks and Queues, 7. Graphs, 8. Digital Computers and Programming..