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NCERT COMPUTER SCIENCE - CLASS XI 30 hours ₹ 21,000₹ 25,000 16% Discount

About the Trainer:

Name: Dr. V.P. Nanthini Sundar
Degree: Ph.D
Total Experience: 14+ Years
Average Rating of this course: 5 / 5
Know More @: https://www.vpntrainer.com/About.html

Understanding the principles of computing is an essential skill. It provides students with a keen understanding of how technology impacts their lives, empowers them to become up skilled participants in society, and unlocks a wide range of career opportunities. Computer science education in higher secondary plays a vital role in preparing students for the challenges and opportunities. By equipping students with computational thinking skills, digital literacy, and a passion for innovation, we empower them to thrive in an increasingly technology-driven world. This course includes all units mentioned in the syllabus namely computer Systems and organization, computational thinking and programming – I, society, law and ethics and suggested practical list of programs in python.

This course will enable student to become a python developer to automate day to day manual tasks. This will teach them how to work with python programming in an efficient manner.to build applications using the latest Python techniques. On completion, the students will acquire wide practical exposure.

This course is meant for 11 th standard CBSE students. 30+ programs will be taught and new challenges will be given based on student’s wish to experiment on their own.

  • Unit 1: Computer Systems and Organisation
  • Basic computer organisation: Introduction to Computer System, hardware, software, input device, output device, CPU, memory (primary, cache and secondary), units of memory (bit, byte, KB, MB, GB, TB, PB)
  • Types of software: System software (Operating systems, system utilities, device drivers), programming tools and language translators (assembler, compiler, and interpreter), application software
  • Operating System(OS): functions of the operating system, OS user interface Boolean logic: NOT, AND, OR, NAND, NOR, XOR, NOT, truth tables and De Morgan’s laws, Logic circuits
  • Number System: Binary, Octal, Decimal and Hexadecimal number system; conversion between number systems
  • Encoding Schemes: ASCII, ISCII, and Unicode (UTF8, UTF32)
  • Unit 2: Computational Thinking and Programming - I
  • 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: interactive mode and script mode, Python character set, Python tokens( keyword, identifier, literal, operator, punctuator), variables, concept of l-value and r-value, use of comments
  • 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, 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 3: 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.
  • Information Technology Act (IT Act)
  • Technology and society: Gender and disability issues while teaching and using computers
  • Unit 4. Suggested Practical List
  • Python Programming
  • Input a welcome message and display it.
  • Input two numbers and display the larger / smaller number.
  • Input three numbers and display the largest / smallest number.
  • Generate the patterns using nested loops
  • Write a program to input the value of x and n and print the sum of the given series
  • Determine whether a number is a perfect number, an Armstrong number or a palindrome.
  • Input a number and check if the number is a prime or composite number.
  • Display the terms of a Fibonacci series.
  • Compute the greatest common divisor and least common multiple of two integers.
  • Count and display the number of vowels, consonants, uppercase, lowercase characters in string.
  • Input a string and determine whether it is a palindrome or not; convert the case of characters in a string.
  • Find the largest/smallest number in a list/tuple
  • Input a list of numbers and swap elements at the even location with the elements at the odd location.
  • Input a list/tuple of elements, search for a given element in the list/tuple.
  • Create a dictionary with the roll number, name and marks of n students in a class and display the names of students who have marks above 75.

  • Avail Live Instructor-Led Online Class for NCERT Class XI Course.
  • Gain thorough knowledge in Python using Python Tricks.
  • Hands on session will be provided for each topic with due homework and assignments.
  • Each session is packed with related content, hands-on learning, and opportunities to ask questions.
  • We will provide Top 100+ Latest Python Interview Questions & Answers.
  • Vpntraining solutions will conduct Mock Interview as per the units towards the end of this Course. This will enable students to gain total confidence and courage in the subject.
  • Course Duration is 30 hrs with total Hands-on Training.
  • Our hands-on learning method not only helps you learn faster but also helps you see how quickly to apply your knowledge. 
  • Weekdays classes will be for 1 hr starting from 6.30 am IST to 9 pm IST and weekend classes will be for 2 hrs between 10.30 am to 9 pm IST.
  • Flexible timeslots can be opted.
  • You can choose 1:1 Online Classes for Computer Science Training.

Contact Dr. V. P Nanthini Sundar to proceed further!
☎    Mobile Number:   +91 9176784926
✉    Email ID:   support@vpntrainer.com
    LinkedIn: https://www.linkedin.com/in/dr-v-p-nanthini-sundar-31370161/