Recent Posts

Welcome to Softech

We Hope you get knowledge from here.

Science is mother of Nature

So try to help Nature by Technology

Here you get

All the stuff that you want and we also provide you The things that you want

So

Stay with us

Give us

Your feedback

Wednesday, 25 February 2015

computer networking

Monday, 23 February 2015

JAVA THE COMPLETE REFRENCE

Saturday, 21 February 2015

coal masm615

Thursday, 19 February 2015

SOFTWARE ENGINEERING BOOK

CCNET COURSE BOOK

ALGORITHM COURSE BOOK

Tuesday, 17 February 2015

DIGITAL LOGIC DESIGN COURSE BOOK

COAL COURSE BOOK ASSEMBLY LANGUAGE

Wednesday, 12 November 2014

post fix expression



Infix
Postfix
Prefix
Notes
A * B + C / D
A B * C D / +
+ * A B / C D
multiply A and B,
divide C by D,
add the results
A * (B + C) / D
A B C + * D /
/ * A + B C D
add B and C,
multiply by A,
divide by D
A * (B + C / D)
A B C D / + *
* A + B / C D
divide C by D,
add B,
multiply by A

data structure 2nd sessional course



Sessional course data structure:
v  Double link list( insertion , deletion , display)
v  Circular link list ( insertion , deletion , display)
v  Stack ( insertion , deletion , display)
v  Queue ( insertion , deletion , display)
v  Expression evaluation/polish notation( infix,prefix,postfix)e.g table from diagram
v  Tree(theory)
v  Tree traversial.

Sunday, 9 November 2014

Cardinality of Relationships

Cardinality is the number of entity instances to which another entity set can map under the relationship. This does not reflect a requirement that an entity has to participate in a relationship. Participation is another concept.
One-to-one: X-Y is 1:1 when each entity in X is associated with at most one entity in Y, and each entity in Y is associated with at most one entity in X.
One-to-many: X-Y is 1:M when each entity in X can be associated with many entities in Y, but each entity in Y is associated with at most one entity in X.
Many-to-many: X:Y is M:M if each entity in X can be associated with many entities in Y, and each entity in Y is associated with many entities in X (“many” =>one or more and sometimes zero)
 



Keys in DBMS

Super key: An attribute or set of attributes that uniquely identifies an entity–there can be many of these
Composite key:A key requiring more than one attribute



Candidate key: a superkey such that no proper subset of its attributes is also a superkey (minimal superkey – has no unnecessary attributes)

Primary key: The candidate key chosen to be used for identifying entities and accessing records.  Unless otherwise noted “key” means “primary key”

Alternate key: A candidate key not used for primary key
Secondary key: Attribute or set of attributes commonly used for accessing records, but not necessarily unique
Foreign key: An attribute that is the primary key of another table and is used to establish a relationship with that table where it appears as an attribute also.

Entities and Attributes

Entity Type:It is a set of similar objects or a category of entities that are well defined
  • A rectangle represents an entity set
  • Ex: studentscourses
  • We often just say “entity” and mean “entity type”
Attribute:It describes one aspect of an entity type; usually [and best when] single valued and indivisible (atomic)
  • Represented by oval on E-R diagram
  • Ex: name, maximum enrollment
Types of Attribute:
Simple and Composite Attribute
Simple attribute that consist of a single atomic value.A simple attribute cannot be subdivided. For example the attributes age, sex etc are simple attributes.
A composite attribute is an attribute that can be further subdivided. For example the attribute ADDRESS can be subdivided into street, city, state, and zip code. 
Simple Attribute: Attribute that consist of a single atomic value.
Example: Salary, age etc
Composite Attribute  : Attribute value not atomic.
Example :   Address  :  ‘House_no:City:State
Name      :  ‘First Name: Middle Name: Last Name’ 
Single Valued and Multi Valued attribute
A single valued attribute can have only a single value. For example a person can have only one ‘date of birth’, ‘age’ etc. That is a single valued attributes can have only single value. But it can be simple or composite attribute.That is ‘date of birth’ is a composite attribute , ‘age’ is a simple attribute. But both are single valued attributes.
Multivalued attributes can have multiple values. For instance a person may have multiple phone numbers,multiple degrees etc.Multivalued attributes are shown by a double line connecting to the entity in the ER diagram.
Single Valued Attribute: Attribute that hold a single value
Example1: Age
Exampe2: City
Example3:Customer id
Multi Valued Attribute: Attribute that hold multiple values.
Example1: A customer can have multiple phone numbers, email id’s etc
Example2: A person may have several college degrees
Stored and Derived Attributes
The value for the derived attribute is derived from the stored attribute. For example ‘Date of birth’ of a person is a stored attribute. The value for the attribute ‘AGE’ can be derived by subtracting the ‘Date of Birth’(DOB) from the current date. Stored attribute supplies a value to the related attribute.
Stored Attribute: An attribute that supplies a value to the related attribute.
Example: Date of Birth
Derived Attribute: An attribute that’s value is derived from a stored attribute.
Example : age, and it’s value is derived from the stored attribute Date of Birth.