Page 8 - Computer Science Class 11 Without Functions
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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, and 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:  e.g.:  absolute  value,  sort  3
                   numbers and divisibility of a number.
                   Iterative Statement: for loop, range(), while loop, flowcharts, break and continue statements, nested
                   loops, suggested programs: generating pattern, summation of series, finding the factorial of a positive
                   number, etc.
                   Strings: introduction, string operations (concatenation, repetition, membership and 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 and slicing), traversing
                   a list using loops, built-in functions/methods–len(), list(), append(), extend(), insert(), count(), index(),
                   remove(), pop(), reverse(), sort(), sorted(), min(), max(), sum(); nested lists, 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 and slicing);
                   built-in functions/methods – len(), tuple(), count(), index(), sorted(), min(), max(), sum(); tuple assignment,
                   nested tuple; 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 – len(),
                   dict(), keys(), values(), items(), get(), update(), del(), del, clear(), fromkeys(), copy(), pop(), popitem(),
                   setdefault(), max(), min(), sorted(); 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 <module>’ and using from statement,
                   importing  math  module  (pi,  e,  sqrt(),  ceil(),  floor(),  pow(),  fabs(),  sin(),  cos(),  tan());  random  module
                   (random(), randint(), randrange()), statistics module (mean(), median(), mode()).

                Unit III: Society, Law and Ethics
                   Digital Footprints
                   Digital Society and 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.
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