Topics
Networking and Open Source Software
- Evolution of Networking
- ARPANET
- Interspace Different Ways of Sending Data Across the Network with Reference to Switching Techniques (Circuit and Packet Switching)
- Data Communication Terminologies
- Concept of Channel
- Bandwidth (Hz, KHz, MHz) and Data Transfer Rate (Bps, Kbps, Mbps, Gbps, Tbps)
- Wired/Bounded Transmission Media
- Coaxial Cable
- Optical Fiber
- Infrared
- Radio Link
- Microwave Link
- Satellite Link
- Network Devices
- Networking Topologies
- Types of Protocol
- Mobile Telecommunication Technologies
- Mobile Processors
- Introduction to Protocols
- Wireless Technologies Such as Wi-Fi and WiMax
- Threats and Prevention
- Cookies
- Firewall
- HTTP vs HTTPS
- India IT Act
- Cyber Law
- Cyber Crimes
- IPR Issues
- Hackers and Crackers
- Internet, Web and the Internet of Things
- Introduction to HyperText Markup Language (HTML)
- Extensible Markup Language (XML)
- Domain Name System (DNS)
- Uniform Resource Locator (URL)
- Key Concepts of Web Technology
- Web Hosting
- Web Scripting - Client Side (VB Script, Java Script, PHP)
- Server Side (ASP, JSP, PHP)
- Web 2.0 (For Social Networking)
- E-commerce Payment Transactions Using Online Banking
- Mobile Banking and Payment Apps and Services
Object Oriented Programming in C++
- Concept of Object Oriented Programming in C++
- Data Hiding in C++
- Data Encapsulation in C++
- Class and Object in C++
- Abstract Class and Concrete Class
- Polymorphism in C++
- Inheritance in C++
- Advantages of Object Oriented Programming Over Earlier Programming Methodologies in C++
- Definition of a Class in C++
- Member of a Class - Data Members and Member Functions (Methods)
- Using Private and Public Visibility Modes, Default Visibility Mode (Private)
- Member Function Definition - Inside Class Definition and Outside Class Definition Using Scope Resolution Operator (::)
- Accessing Members from Object (S)
- Objects as Function Arguments - Pass by Value and Pass by Reference
- Special Characteristics of Constructor
- Declaration and Definition of a Constructor
- Default Constructor
- Overloaded Constructors
- Copy Constructor
- Constructor with Default Arguments
- Special Characteristics of Destructor
- Declaration and Definition of Destructor
- Base Class in C++
- Derived Classes in C++
- Protected Visibility Mode
- Single Level Inheritance, Multilevel Inheritance and Multiple Inheritance in C++
- Privately Derived, Publicly Derived and Protectedly Derived Class
- Accessibility of Members from Objects and Within Derived Class (es)
- Data File Handling in C++ :- Need for a Data File, Types of Data Files - Text File and Binary File
- Basic File Operations on Text File - Creating/Writing Text into File, Reading and Manipulation of Text from an Already Existing Text File (Accessing Sequentially)
- Searching in Data Structure
- Implementation of Basic File Operations on Text and Binary File in C++
- Components of C++ to Be Used with File Handling
- Header File - fstream.h
- ifstream, ofstream, Classes
- Opening a Text File in - In, Out, and App Modes
- Using Cascading Operators (>>,<<) for Writing Text to the File and Reading Text from the File
- Open (), Get (), Read (), Put (), Write (), Getline () and Close () Functions
- Detecting End-of-file (With Or Without Using Eof() Function), Tellg(), Tellp(), Seekg(), Seekp()
- Introduction to Pointer
- Declaration and Initialization of Pointer
- Dynamic Memory Allocation/Deallocation Operators - New, Delete
- Pointers and Arrays - Array of Pointers, Pointer to an Array (1 Dimensional Array), Function Returning a Pointer, Reference Variables and Use of Alias
- Function Call by Reference
- Pointer to Structure - De-reference/Deference Operator:- *, ->
- Self Referential Structure
Data Structures
- Linear and Non-linear Structure
- Static and Dynamic Data Structure
- One and Two Dimensional Arrays - Sequential Allocation and Address Calculation
- Searching in Data Structure
- Two-dimensional Arrays - Traversal Finding Sum/Difference of Two Nxm Arrays Containing Numeric Values, Interchanging Row and Column Elements in a Two Dimensional Array
- Converting Expressions from INFIX to POSTFIX Notation and Evaluation of Postfix Expression in C++
- Queue (Array and Linked Implementation)
- Machine Control Instruction
- Operations on Queue (Insert and Delete and Its Implementation in C++
- Circular Queue Using Array
Database Management Systems and SQL
- Introduction to Data Base Concepts and Its Need in C++
- Relational Data model
- Relational Algebra
- Structured Query Language Advantages of Using SQL
- Data Definition Language and Data Manipulation Language
- Data Types - NUMBER/DECIMAL, CHARACTER/VARCHAR/VARCHAR2, DATE
- SQL COMMANDS - CREATE TABLE, DROP TABLE, ALTER TABLE, UPDATE ….SET…., INSERT, DELETE; SELECT, DISTINCT, FROM, WHERE, IN, BETWEEN, GROUP BY, HAVING, ORDER BY
- Functions in SQL
- Obtaining Results (Select Query) from 2 Tables Using equi-join
- Cartesian Product and Union
C++ Boolean Algebra
- Binary-valued Quantities
- Boolean Variable
- Boolean Constant and Boolean Operators - AND, OR, NOT
- Truth Tables (Boolean Algebra)
- Closure Property
- Commutative Law
- Associative Law
- Identity Law
- Inverse Law
- Principle of Duality
- Idempotent Law
- Distributive Law
- Absorption Law
- Involution Law
- DeMorgan’S Law/Theorem and Their Applications
- Obtaining Sum of Product (SOP) and Product of Sum (POS) Form the Truth Table
- Reducing Boolean Expression (SOP and POS) to Its Minimal Form
- Use of Karnaugh Map for Minimization of Boolean Expressions (Up to 4 Variables)
- Application of Boolean Logic - Digital Electronic Circuit Design Using Basic Logic Gates (NOT, AND, OR, NAND, NOR)
- Use of Boolean Operators (NOT, AND, OR) in SQL SELECT Statements
- Use of Boolean Operators (AND, OR) in Search Engine Queries
Shaalaa.com | Introduction
Related QuestionsVIEW ALL [4]
Consider the following DEPT and EMPLOYEE tables. Write SQL queries for (i) to (iv) and find outputs for SQL queries (v) to (viii).
Table: DEPT
| DCODE | DEPARTMENT | LOCATION |
| D01 | INFRASTRUCTURE | DELHI |
| D02 | MARKETING | DELHI |
| D03 | MEDIA | MUMBAI |
| D04 | FINANCE | KOLKATA |
| D05 | HUMAN RESOURCE | MUMBAI |
Table: EMPLOYEE
| ENO | NAME | DOJ | DOB | GENDER | DCODE |
| 1001 | George K | 2013-09-02 | 1991-09-01 | MALE | D01 |
| 1002 | Ryma Sen | 2012-12-11 | 1990-12-15 | FEMALE | D03 |
| 1003 | Mohitesh | 2013-02-03 | 1987-09--04 | MALE | D05 |
| 1007 | Anil Jha | 2014-01-17 | 1984-10-19 | MALE | D04 |
| 1004 | Manila Sahai | 2012-12-09 | 1986-11-14 | FEMALE | D01 |
| 1005 | R SAHAY | 2013-11-18 | 1987-03-31 | MALE | D02 |
| 1006 | Jaya Priya | 2014-06-09 | 1985-06-23 | FEMALE | D05 |
Note: DOJ refers to the date of joining ·and DOB refers to the date of Birth of employees
1) To display Eno, Name, Gender from the table EMPLOYEE in ascending order of Eno.
2) To display the Name of all the MALE Employees from the table EMPLOYEE.
3) To display the Eno and Name of those employees from the table EMPLOYEE who are born between '1987-01-01' and '1991-12-01'.
4) To count and display FEMALE employees who have Joined after '1986-01-01'.
5) SELECT COUNT(*), DCODE FROM EMPLOYEE GROUP BY DCODE HAVING COUNT(*)>1;
6) SELECT DISTINCT DEPARTMENT FROM DEPT;
7) SELECT NAME, DEPARTMENT FROM EMPLOYEE E, DEPT D WHERE E.DCODE=D.DCODE AND EN0<1003;
8) SELECT MAX(DOJ), MIN(DOB) FROM EMPLOYEE;
Write SQL queries for (i) to (iv) and find outputs for SQL queries (v) to (viii), which are based on the tables.
DVD
| DCODE | DTITLE | DTYPE |
| F101 | Henry Martin | Folk |
| C102 | Dhrupad | Classical |
| C101 | The Planets | Classical |
| F102 | Universal Soldier | Folk |
| R102 | A day in life | Rock |
MEMBER
| MID | NAME | DCODE | ISSUEDATE |
| 101 | AGAM SINGH | R102 | 2017-11-30 |
| 103 | ARTH JOSEPH | F102 | 2016-12-13 |
| 102 | NISHA HANS | C101 | 2017-07- 24 |
1) To display all details from the table MEMBER in descending order of ISSUEDATE
2) To display the DCODE and DTITLE of all Folk Type DVDs from the table DVD.
3) To display the DTYPE and number of DVDs in each DTYPE from the table DVD.
4) To display all NAME and ISSUEDATE of those members from the table. MEMBER who have DVDs issued (i.e., ISSUEDATE) in the year 2017
5) SELECT MIN(ISSUEDATE) FROM MEMBER
6) SELECT DISTINCT DTYPE FROM DVD;
7) SELECT D.DCODE, NAME, DTITLE FROM DVD D, MEMBER M WHERE D.DCODE=M.DCODE;
8) SELECT DTITLE FROM DVD WHERE DTYPE NOT IN ("Folk", "Classical" ) ;
Observe the following table MEMBER carefully and write the name of the RDBMS operation out of (i) SELECTION (ii) PROJECTION (iii) UNION (iv) CARTESIAN PRODUCT, which has been used to produce the output as shown in RESULT. Also, find the Degree and Cardinality of the RESULT :
MEMBER
| NO | MNAME | STREAM |
| M001 | JAYA | SCIENCE |
| M002 | ADITYA | HUMANITIES |
| M003 | HANSRAJ | SCIENCE |
| M004 | SHIVAK | COMMERCE |
RESULT
| NO | MNAME | STREAM |
| M002 | ADI'l'YA | HUMANITIES |
Write SQL queries for (i) to (iv) and find outputs for SQL queries (v) to (viii) which are based on the table.
TABLE: Account
| ANO | ANAME | ADDRESS |
| 101 | Nirja Singh | Bangalore |
| 102 | Rohan Gupta | Chennai |
| 103 | Ali Reza | Hyderabad |
| 104 | Rishabh Jain | Chennai |
| 105 | Simran Kaur | Chandigarh |
TABLE: TRANSACT
| TRNO | ANO | AMOUNT | TYPE | DOT |
| T001 | 101 | 2500 | Withdraw | 2017-12-21 |
| T002 | 103 | 3000 | Deposit | 2017-06-01 |
| T003 | 102 | 2000 | Withdraw | 2017-0S-12 |
| T004 | 103 | 1000 | Deposit | 2017-10-22 |
| T005 | 101 | 12000 | Deposit | 2017-11-06 |
1) To display details of all transaction of TYPE Depos1t from Table TRANSACT.
2) To display the ANO and AMOUNT of all Depos1ts and Withdrawals done in the month of October 2017 from table TRANSACT.
3) To display the last date of the transaction (DOT) from the table TRANSACT for the Accounts having ANO as 103
4) To display all ANO, ANAME and DOT of those persons from tables ACCOUNT and TRANSACT who have done transactions less than or equal to 3000?
5) SELECT ANO, ANAME FROM ACCOUNT WHERE ADDRESS NOT IN ('CHENNAI', 'BANGALORE');
6) SELECT DISTINCT ANO FROM TRANSACT
7) SELECT ANO, COUNT(*), MIN(AMOUNT) FROM TRANSACT GROUP BY AND HAVING COUNT(*) > 1;
8) SELECT COUNT(*), SUM(AMOUNT) FROM TRANSACT WHERE DOT <= '2017-06-01'
