Course Content
Introduction To Syllabus
0/3
What examiner wants from you?
02:03
Follow The Two Track Method
01:22
Healthy Practices you should maintain in Course
01:09
Relation of Real Life and Programming
0/7
Real Life Programming
00:48
How To Write perfect pseudocode
04:42
A Talk between Customer and ShopKeeper
02:36
Fetching Requirements Out of the Talk
07:55
Creating Pseudocode & conversion to Program Code (python)
07:55
Running Code in Python
01:46
Practice session 1
00:28
Stages of Programming
0/14
Stage 1 : Setting & Declaration
03:31
Practice Session : Variables and Constants
00:28
Different Types of DATATYPES
05:36
Practice Session : DATATYPES
00:28
Stage 2 : INPUT
03:00
Stage 3 : Process
Process : Arithmetic Opreators
02:14
Relational Opreators
01:33
Practice Session : Relational opreators
00:27
Logical Opreators
03:18
Practice Session : Logical Operators
00:27
Concept of Totaling
03:03
QUESTION 1
07:14
QUESTION 2
03:55
Dealing with Constructs
0/24
Dealing With Constructs
02:08
Sequence Constructs Concept
01:37
Sequence Construct Example
02:51
Selection Construct
IF…THEN…ENDIF(OneWay)
02:01
Question Set-1 : IF THEN ENDIF
00:28
ONE WAY PSEUDOCODE EXAMPLE
02:10
ONE WAY PYTHON EXAMPLE
02:07
Practice Material
00:27
Concept of Nesting :IF….THEN…..ELSE….ENDIF(TwoWay)
02:10
Question Set -2 : IF THEN ENDIF
00:28
NESTING PYTHON EXAMPLE
03:02
IF….THEN….ELSEIF….ENDIF(MultipleWays)
03:00
Multiple IF THEN ELSE ENDIF(Python)
03:59
Practice Session: 1
CASEOF……OTHERWISE……ENDCASE
03:51
CASE OF OTHERWISE ENDCASE (PYTHON)
04:20
Iteration Construct:Real Life Loops
02:56
For Loop(Pre counted-Turns)
03:22
For loop Using step command (pseudocode)
02:09
Question solution of for loop in Pseudocode
03:00
While Loop (Pre counted Loop-Turns)
02:31
Repeat….until (post controlled Loop)
02:24
Repeat Until Pseudocode Question
04:04
Question Set 3
0/3
SET 1 – For Loop
00:28
SET 2 – For loop
00:28
Set3-while loop Questions
00:28
Concept of Validations
0/6
Concept of Validation
01:58
RANGE CHECK
06:41
LENGTH CHECK
06:07
FORMAT CHECK
05:22
PRESENCE CHECK
04:26
CHECK DIGIT
Question Set 4
0/2
Set1- Validation
00:28
Set2-Validation
00:27
Computer Science 2010 : Olevel : Free Trail Course
Validation is a crucial process in data management and software development that ensures data is accurate, consistent, and useful. It involves checking data against predefined rules or constraints to confirm it meets the required standards before processing or storage. The primary goal of validation is to prevent errors and maintain data integrity.

There are several types of validation:

  1. Format Check: Ensures data is in the correct format. For example, email addresses must include an “@” symbol and a domain suffix like “.com”.

  2. Range Check: Confirms that a value falls within a specified range. For example, age fields might be restricted to values between 0 and 120.

  3. Presence Check: Ensures that required fields are not left blank. For instance, a registration form may mandate entering both a username and password.

  4. Length Check: Verifies that data contains the correct number of characters. For example, passwords might need to be between 8 and 16 characters long.

  5. Type Check: Confirms that the data is of the expected type, such as ensuring that a field expecting an integer does not receive a string.

  6. Consistency Check: Ensures related data is logically coherent. For example, a start date should not be later than an end date.

  7. Uniqueness Check: Ensures data entries are unique where required. For example, user IDs or email addresses in a database must not be duplicated.

By implementing these various types of validation, systems can ensure data quality, which in turn supports reliable and efficient operation of applications and databases. Validation helps in catching errors early, reducing the cost and effort associated with fixing data-related issues later in the process.

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