This course covers the entite syllabus of grade 9 and Grade 10 portion. After the completion of syllabus through board paper discussion is done and startegies are discussed to do well in Exam. 

SYLLABUS-

PART I
ROBOTICS
Note: Key concepts of Class IX need to be revised as
a prerequisite
1. New Age Robotic Systems
(i) Types of Robots
Warehouse Robots, Assistant Robots,
Smart Homes, Smart Schools, Smart
mobility, Autonomous Cars/Driver
Assisted Cars, Autonomous Drones,
Robotics for Medicine and Healthcare, any
other (give examples). Why NARS are
relevant and possible. Some common
examples of robotic systems such as,
elevator.
(ii) Difference between a machine and a robot.
Difference between a machine and a robot:
an understanding of how a robot must
continuously sense, maintain a certain
speed and do a certain task that it is
programmed to do, using examples;
identification of machine/robot through
illustrations.
(iii) Cobots
Meaning of Cobots (as robotic systems
with humans in the loop, emphasizing the
provision for human interaction and a
multi robot system); difference between
Cobot and Robot, importance of cobots, a
brief understanding of the progress from
Robots to Cobots.
2. Components of Robots as a System
(i) Introduction to Gears.
Use of gears in robots- transmission and
amplification of force, principles of gears,
types of gears, gear ratio (brief understanding
with examples).
(ii) Sensors in Robotics.
Types of Sensors based on application
(Vision, tactile, temperature, range and
proximity detection, motion, navigation,
speech recognition) with examples only.
Classification of sensors as Internal Sensors
(Position, Velocity, Acceleration and Force
Sensors) and External Sensors (Contact type,
Non-contact Type Sensors). Functions of
sensors.
(iii) Actuators
Brief understanding of actuators and their
application; types of actuators (linear and
rotary) with examples such as joints and
wheels.
(iv) Controller for a Robotic System
Examples of control systems from daily life:
regulation of fan, refrigerator, and air
conditioner.
Control systems in robotics: Meaning,
functions and working; differences between
manual and automatic control systems. Block
diagrams to be used to illustrate
(Input-controller-robot-feedback).
(v) Integrating Sensors, Actuators and Controller
in a Robotic System
Illustration using a simple example: how
angular position is measured by a position
sensor of a robotic arm is controlled by
driving the revolute joint using a motor.
3. Visualization, Design and Creation of
Components
(i) Application of Mechanical Block of Robotics.
Visualize, design and create components of a
robot.
Using Tinkercad to visualize, design, and
create the components of a robot; the different
types of joints: revolute and prismatic, RR
Mechanism.
(ii) Visualization of motion.
Use of Tinkercad to visualize motion of the
components designed.
4. Integrating Robots as a System
Building simple robotic systems, wheeled mobile
robot, Single Board Computer coding
Using Tinkercad to build simple robotics systems,
for example, RR Mechanism. Building simple
systems up to a mobile robot with four wheels.
9PART II
ARTIFICIAL INTELLIGENCE
Note: Key concepts of Class IX need to be revised
as a prerequisite.
1. Decision making in Machines/ Computers
(i) Automated versus Autonomous Systems.
Concept of Automated versus Autonomous
Systems for Deterministic versus
Probabilistic versus.
(ii) Decision Making.
Human versus machine decision making as
subjective and objective respectively; An
understanding of object classification by
humans and computers/machines.
(iii) Machine Learning (ML).
A brief understanding of Machine Learning,
role of data and information. Steps in
machine learning. Importance of
programming and algorithms in teaching
machines/computers in subjective decision
making.
Example such as fruit sorting.
2. Machine Intelligence and Cybersecurity in
Computing
(i) Machine Intelligence – Turing Test.
Human intelligence vs Machine
Intelligence; role of the Turing test in AI: a
brief understanding only; connectivity
between human intelligence and machine
intelligence.
(ii) Cybersecurity
A basic understanding of security and
ethical issues such as the unauthorized use
of hardware, theft of software, disputed
rights to products, the use of computers to
commit fraud, the phenomenon of hacking
and data theft, sabotage in the form of
viruses, responsibility for the reliability of
output, making false claims for computers,
and the degradation of work.
3. Components of AI Project Framework
(i) Problem Scoping
Understanding of problem and finding out
which factors affect the problem, defining
the goal of the project. The 4 Ws: Who,
What, Where, Why. The Problem Statement
(ii) Data Acquisition
Types of Data, Data Features, Data
Sources, Training and testing Data and
System Maps. Importance of acquiring
relevant data from reliable sources.
Sources of Dataset in AI – Kaggle Platform
(iii) Data Exploration
An understanding of different ways of
representing data to gather meaningful
information: Bar graphs/ histograms, line
graphs, scatter plots, pie charts.
(iv) Modelling and Evaluation
Approaches in AI data modelling:
Prediction – linear regression. Rule based
approach, learning based approach,
supervised learning, unsupervised
learning (brief understanding of each).
4. Introduction to Data and Programming with
Python
(i) Modules and Packages.
Scope and uses of packages, modules and
libraries like NumPy, Pandas, SciPy,
Matplotlib; implementation using simple
programs in python.
An understanding of what libraries are and
why we need them in the first place, the
syntax of importing libraries.
(ii) Lists and Tuples in Python.
Introduction to lists, creation of list, access
elements of a list, list operations (append,
insert, extend, sort, search)
Introduction to tuples, creation of tuple,
accessing tuples, deleting a tuple, and
converting list to tuple and vice-versa.(iii) Strings
Introduction to strings, creating strings,
traversing a string, multiline strings,
concatenating strings, escape sequences.
String operators, string in-built functions:
int string.len()
string string.upper()
string string.lower()
boolean string.endswith(value)
boolean string.startswith(value)
int string.find(value)
boolean string.islower()
string string.replace(oldvalue, newvalue)
int string.count(value)
boolean string.isalpha()
boolean string.isdigit()
boolean string.isalnum()
string string.join(iterable)
string string[start:end:step]