Computer Science Syllabus Class 11 2018-19 (NEW)
Computer Science Syllabus Class
11 2018-19 (NEW)
As we all know that cbse board exam result for class 10 and class 12th are expected to declare on May 31st, 2018. All the students who will join the cbse class 11, need to have a look on the syllabus of all the subjects and do prepare a study plan for the academic session 2018-19
Here you will get CBSE class 11th complete revised syllabus for nearly all the core subjects
We also know the syllabus is completely based on the NCERT books. This syllabus is very important for all the students who are thinking to prepare the competitive examination like JEE, NEET etc.
A great way to start the class 11th is to begin by properly appreciating the role that syllabi play in school education. The syllabus should be an instrument to get students and faculty starting on the same page for the semester.
The syllabus is a small place to start bringing students and faculty members back together."
A successful study year begins when both teachers and students are brought together through the course syllabus.
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CLASS-XI
Code
No. 083
(Optional for the academic year 2018-19 and
mandatory for the academic year 2019-20 onwards)
1. Prerequisites
No major
prerequisites are required for this course other than basic Mathematical
skills. However, it will be helpful if the student has a basic knowledge of
Computer Applications.
2. Learning Outcomes
1. Develop
basic computational thinking. Learn how to reason with variables, state
transitions, conditionals, and iteration.
2.
Understand the notion of data types, and higher order data structures such as
lists, tuples, and dictionaries.
3.
Appreciate the notion of an algorithm, and understand its structure, including
how algorithms handle corner cases.
4. Develop a
basic understanding of computer systems - architecture, OS, mobile and cloud computing.
5. Learn
basic SQL programming.
6. Learn all
about cyber safety.
3. Distribution of Marks
Unit No.
|
Unit Name
|
|
1.
|
Programming and Computational Thinking - 1 35
|
35
|
2.
|
Computer Systems and Organisation
|
10
|
3.
|
Data Management - 1
|
15
|
4.
|
Society, Law and Ethics - 1
|
10
|
5.
|
Practical
|
30
|
|
|
Total
|
100
|
4.1 Unit 1: Programming and Computational
Thinking (PCT-1) (80
Theory + 70 Practical)
·
Familiarization with the basics of Python programming:
a simple “hello world" program, process of writing a program, running it,
and print statements; simple data-types: integer, float, string
·
Introduce the notion of a variable, and methods to
manipulate it (concept of L-value and R- value even if not taught explicitly)
·
Knowledge of data types and operators: accepting input
from the console, assignment statement, expressions, operators and their
precedence.
·
Conditional statements: if, if-else, if-elif-else;
simple programs: e.g.: absolute value, sort 3 numbers, and divisibility.
·
Notion of
iterative computation and control flow: for, while, flowcharts, decision trees
and pseudo code; write a lot of programs: interest calculation, primarily
testing, and factorials.
·
Idea of debugging: errors and exceptions; debugging:
pdb, break points.
·
Lists, tuples and dictionary: finding the maximum,
minimum, mean; linear search on list/tuple of numbers, and counting the
frequency of elements in a list using a dictionary. Introduce the notion of
accessing elements in a collection using numbers and names.
·
Sorting algorithm: bubble and insertion sort; count
the number of operations while sorting.
·
Strings: compare, concat, substring; notion of states
and transitions using state transition diagrams.
4.2. Unit 2: Computer Systems and Organisation (CSO)
(20 Theory + 6 Practical)
·
Basic computer organisation: description of a computer
system and mobile system, CPU, memory, hard disk, I/O, battery, power.
·
Types of software: application, OS, utility,
libraries.
Language of Bits: bit, byte, MB, GB, TB, and PB.
Boolean logic:
OR, AND, NAND, NOR, XOR, NOT, truth tables, De Morgan’s laws
·
Information representation: numbers in base 2, 8, 16,
unsigned integers, binary addition
·
Strings: ASCII, UTF8, UTF32, ISCII (Indian script
code)
·
Execution of a program: basic flow of compilation –
program → binary → execution
·
Interpreters (process one line at a time), difference
between a compiler and an interpreter
·
Running a program: Notion of an operating system, how
an operating system runs a program,
·
idea of loading, operating system as a resource
manager.
·
Concept of cloud computers, cloud storage
(public/private), and brief introduction to parallel computing.
4.3. Unit 3: Data Management (DM-1) (30 Theory+ 24
Practical)
·
Relational databases: idea of a database and the need
for it, relations, keys, primary key,
·
foreign key; use SQL commands to create a table, keys,
foreign keys; insert/delete an entry, delete a table.
·
SQL commands: select, project, and join; indexes, and
a lot of in-class practice.
·
Basics of NoSQL databases - Mongo DB.
4.4. Unit 4: Society, Law and Ethics (SLE-1) - Cyber
safety (10 Theory)
·
Cyber safety: safely browsing the web, identity
protection, confidentiality, social networks, cyber trolls and bullying
·
Appropriate usage of social networks: spread of
rumours, and common social networking sites (Twitter, LinkedIn, and Facebook)
and specific usage rules.
·
Safely accessing web sites: adware, malware, viruses,
Trojans
·
Safely communicating data: secure connections, eavesdropping,
phishing and identity verification.
5. Practical
S.No.
|
Unit Name
|
Marks (Total=30)
|
1.
|
Lab Test (12 marks)
|
|
Python program (60% logic + 20% documentation +
20% code
quality)
|
8
|
|
SQL program (at least 4 queries)
|
4
|
|
2.
|
Report File + viva (10 marks)
|
|
Report file: Minimum 20 Python programs and 8 SQL
commands
|
7
|
|
Viva voce (based on the report file)
|
3
|
|
3.
|
Project (that uses most of the concepts that have
been learnt)
(See CS-XII for the rules regarding the projects).
|
8
|
8 5.1. Programming in Python: At least
the following Python concepts should be covered in the lab sessions:
expressions, conditionals, loops, list, dictionary, and strings. The following
are some representative lab assignments.
·
Find the largest and smallest numbers in a list.
·
Find the third largest number in a list.
·
Test for primarily.
·
Find whether a string is a palindrome or not.
·
Given two integers x
and n, compute xn
·
Compute the greatest common divisor and the least
common multiple of two integers.
·
Test if a number is equal to the sum of the cubes of
its digits. Find the smallest and largest such numbers.
5.2. Data Management: SQL Commands At least the following SQL commands should be covered
during the labs: create, insert, delete, select, and join. The following are
some representative assignments.
·
Create a student table with the student id, name, and
marks as attributes where the student id is the primary key.
·
Insert the details of a new student in the above
table.
·
Delete the details of a particular student in the
above table.
·
Use the select command to get the details of the
students with marks more than 80.
·
Create a new table (name, date of birth) by joining
two tables (student id, name) and (student id, date of birth).
·
Create a new table (order ID, customer Name, and order
Date) by joining two tables (order ID, customer ID, and order Date) and
(customer ID, customer Name, contact Name, country).
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Students should understand the fact that the syllabus acts as the course planning tool. It describes the course goals; explains the course structure and assignments, exams, review sessions, and other activities required for students to learn the material more effectively. So, it’s very essential for students to go through the syllabus of each subject before they move ahead with their studies.
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