KLiC Certificate in Computer Applications - Class 11 CBSE (083)

Introduction to Problem-solving

• Steps for Problem-solving (Analyzing the problem, developing an algorithm, coding, testing, and debugging)
• Representation of algorithms using flowchart and pseudocode
• Decomposition

Familiarization with the basics of Python programming

• Introduction to Python
• Features of Python
• Executing a simple “hello world” program
• Execution modes

Knowledge of data types

• Number (integer, floating point, complex)
• Boolean
• Sequence (string, list, tuple)
• None
• Mapping (dictionary)
• Mutable and immutable data types

Operators

• Arithmetic operators
• Relational operators
• Logical operators
• Assignment operators
• Augmented assignment operators
• Identity operators (is, is not)
• Membership operators (in, not in)

Expressions, statement, type conversion, and input/output

• Precedence of operators
• Expression
• Evaluation of an expression
• Type-conversion (explicit and implicit conversion)
• Accepting data as input from the console and displaying output

Errors

• Syntax errors
• Logical errors
• Run-time errors

Flow of Control

• Introduction
• Use of indentation
• Sequential flow
• Conditional and iterative flow

Conditional statements

• if
• if-else
• if-elif-else
• Flowcharts
• Simple programs

Iterative Statement

• for loop, range()
• while loop
• Flowcharts
• break and continue statements
• Nested loops
• Suggested programs

Strings

• Introduction
• String operations (concatenation, repetition, membership, slicing)
• Traversing a string using loops
• Built-in functions/methods
• len()
• capitalize()
• title()
• lower()
• upper()
• count()
• find()
• index()
• endswith()
• startswith()
• isalnum()
• isalpha()
• isdigit()
• islower()
• isupper()
• isspace()
• lstrip()
• rstrip()
• strip()
• replace()
• join()
• partition()
• split()

Lists

• Introduction
• Indexing
• List operations (concatenation, repetition, membership, slicing)
• Traversing a list using loops
• Built-in functions/methods
• Suggested programs
• Finding the maximum, minimum, mean of numeric values stored in a list
• Linear search on list of numbers and counting the frequency of elements in a list

Tuples

• Introduction
• Indexing
• Tuple operations (concatenation, repetition, membership, slicing)
• Built-in functions/methods
• Suggested programs
• Finding the minimum, maximum, mean of values stored in a tuple
• Linear search on a tuple of numbers
• Counting the frequency of elements in a tuple

Dictionary

• Introduction
• Accessing items in a dictionary using keys
• Mutability of a dictionary (adding a new term, modifying an existing item)
• Traversing a dictionary
• Built-in functions/methods
• Suggested programs
• Count the number of times a character appears in a given string using a dictionary
• Create a dictionary with names of employees, their salary and access them

Introduction to Python modules

• Importing module using ‘import’ and using from statement
• math module (pi, e, sqrt(), ceil(), floor(), pow(), fabs(), sin(), cos(), tan())
• random module (random(), randint(), randrange())
• statistics module (mean(), median(), mode())

Digital Footprints – Digital Society Netizen

• Net etiquettes
• Communication etiquettes
• Social media etiquettes

Data Protection

• Intellectual property rights (copyright, patent, trademark)
• Violation of IPR (plagiarism, copyright infringement, trademark infringement)
• Open-source software and licensing (Creative Commons, GPL, and Apache)

Cyber Crime

• Definition
• Hacking
• Eavesdropping
• Phishing and fraud emails
• Ransomware
• Cyber trolls
• Cyber bullying

Cyber Safety

• Safely browsing the web
• Identity protection
• Confidentiality

Malware

• Viruses
• Trojans
• Adware

E-waste Management

• Proper disposal of used electronic gadgets

Information Technology Act (IT Act)

Technology and Society

• Gender and disability issues while teaching and using computers