Olympiad Exam for Class 8

Olympiad Exam for Class 8

School Connect Online delivers free learning resources to students for their better academic outcome. We are proud to be India’s unique learning platform to provide free of cost learning content so as to facilitate the aspiring students to venture on their preparation for International Olympiad Exams. Olympiad Exam for Class 8

School Connect Online is one of the best Olympiads in India supporting students and K-12 schools in India and Abroad with below-listed supports –

1) International Artificial Intelligence (AI) Olympiad

2) International Coding Olympiad

3) International Maths Olympiad

4) International Science Olympiad

School Connect Online works on a mission to deliver exemplary study materials to aspiring students with one of its best and creatively designed disciplined learning platform. Students can enhance their preparation with the help of our reading with notes and best available free videos, unlimited opportunity to best practice questions, mock tests with final performance assessment

Students preparing for Maths Olympiad, Science Olympiad, AI Olympiad, Coding Olympiad can get free access to the preparation materials supported by video lessons for each topic, practice questions, mock tests, sample papers and performance analysis.

Important Links

Olympiad Exam For Class 8 2021

Maths Olympiad For Class 8 Pdf

Science Olympiad For Class 8 Online Test

Olympiad For Class 8 Registration

Science Olympiad Class 8 Syllabus

Study Material For Science Olympiad Class 8

Olympiad Exam For Class 8 Dates

Syllabus for Class 8 Maths Olympiad

Chapters	Name of Chapter
Chapter 1	Rational Numbers
Chapter 2	Linear Equations in One Variable
Chapter 3	Understanding Quadrilaterals
Chapter 4	Practical Geometry
Chapter 5	Data Handling
Chapter 6	Squares and Square Roots
Chapter 7	Cubes and Cube Roots
Chapter 8	Comparing Quantities
Chapter 9	Algebraic Expressions and Identities
Chapter 10	Visualizing Solid Shapes
Chapter 11	Mensuration
Chapter 12	Exponents and Powers
Chapter 13	Direct and Inverse Proportions
Chapter 14	Factorization
Chapter 15	Introduction to Graphs
Chapter 16	Playing with Numbers

Syllabus for Class 8 Science Olympiad

Chapters	Name of Chapter
Chapter 1	Crop Production and Management
Chapter 2	Microorganisms: Friend and Foe
Chapter 3	Synthetic Fibres and Plastics
Chapter 4	Materials: Metals and Non-Metals
Chapter 5	Coal and Petroleum
Chapter 6	Combustion and Flame
Chapter 7	Conservation of Plants and Animals
Chapter 8	Cell — Structure and Functions
Chapter 9	Reproduction in Animals
Chapter 10	Reaching the Age of Adolescence
Chapter 11	Force and Pressure
Chapter 12	Friction
Chapter 13	Sound
Chapter 14	Chemical Effects of Electric Current
Chapter 15	Some Natural Phenomena
Chapter 16	Light
Chapter 17	Stars and The Solar System
Chapter 18	Pollution of Air and Water

Syllabus for Class 8 Coding and Learning Olympiad

Course I
8th Grade
C Programming Language
Lesson : 1	Introduction of C Language
Lesson : 2	Applications of C Language
Lesson : 3	Differences between Java and C Programming Language
C++ Programming Language
Lesson : 4	Introduction of C++ Programming Language and its applications
Lesson : 5	Similarities and Differences of C and C++ Programming Language
Lesson : 6	Java Vs C++
C# Programming Language
Lesson : 7	Introduction of C# Programming Language and its applications
Lesson : 8	Understanding the Differences Between C#, C++ and C
Kotlin
Lesson : 9	Introduction of Kotlin Programming Language
Lesson : 10	Kotlin Vs Java
Sprites
Lesson : 11	What is Sprite in Scratch Programming?
Lesson : 12	Sprite based Shapes
Lesson : 13	Sprite based Animation (Any)

Syllabus for Class 8 AI Olympiad

2. Artificial Intelligence : An introduction

Algorithms always cast a spell on enthusiastic minds. The mystery behind solving complex work through codes fascinates us. Intrigued by how circuits built by engineers can think and work with minimum human intervention, human beings are easily drawn into technology and its innovations. In the domain of Computer Science, Artificial Intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines that stands in contrast to the natural intelligence exhibited by humans.

Data and algorithms rule the world by providing better and rapid information about the future. Everyone of us is drawn to the ineffable capacity of algorithms that creates more and more data and can program and optimize themselves. To build a rock-solid competence in computing, it is imperative to upgrade our skills and keep going with the flow. 

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Particular applications of AI include expert systems, speech recognition and machine vision.

• Artificial Intelligence: HISTORY

The advent of modern AI can be traced back to the experiments of classical philosophers that attempt to describe human thinking as a symbolic system. However, the term “artificial intelligence” was first coined during a conference at Dartmouth College, in Hanover, New Hampshire in 1956.

• Artificial Intelligence: NEED

Educational Requirements for Careers in Artificial Intelligence. Basic computer technology and math backgrounds constitute the backbone of most artificial intelligence programs. Various level of math, including probability, statistics, algebra, calculus, logic and algorithms.

• Artificial Intelligence(AI) : PURPOSE

Having good basics in mathematics along with coding skills help understand the working of the machine learning models. Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

• Artificial Intelligence: POSSIBILITIES

We are in a relentless effort to explore the unfathomable ocean of technology. Every facet of business has become completely digitised. There is a constant drive towards innovation and new technological models that will help humanity evolve, and become better. Buzzwords like AI, automation and quantum technology are trending in social media.

• Artificial Intelligence ETHICS

At its simplest, ethics is a system of moral principles. They influence how people make decisions and lead their lives. Ethics is concerned with what is good for individuals and society, and also comes under the discipline of moral philosophy.

There are some main areas of study in ethics that can be further broken into subcategories:

1. Applied Ethics — concerned with studying what is right or just and what is valuable.

2. Normative Ethics — study of how people should/ought act

3. Meta-ethics — pursuit of understanding what is good or bad, what do these concepts of good/bad really mean?

3. Artificial Intelligence: PROJECT CYCLE

The machine learning life cycle is the cyclical process that data science projects follow. It defines each step that an organization should follow in order to take advantage of machine learning and artificial intelligence (AI) and to derive practical business value as well.

• PROBLEM SCOPING

The ultimate objective of artificial intelligence is to create computer programs that can solve problems and achieve goals as human beings could. AI is evolving as a burgeoning field and there is wide scope in developing machines in robotics, computer vision, language detection machine, game playing, expert systems, speech recognition machines and much more.

• DATA ACQUISITION

Data acquisition is the process of measuring physical world conditions and phenomena such as electricity, sound, temperature and pressure. This is done through the use of various sensors which sample the environment’s analogue signals and transform them to digital signals using an analogue-to-digital converter.

• DATA EXPLORATION

Data Exploration is an approach similar to initial data analysis, whereby a data analyst uses visual exploration to understand the components in a dataset and the characteristics of the data. It can be called as initial data analysis. 

One need to explore the unfathomable depths of data before making any statistical analysis and creating machine learning model.

• DATA MODELING

Data modeling in the field of software engineering refers to the process of creating a data model for an information system by applying certain formal techniques.

Eligibility Criteria for School Connect Online Olympiad

Age: Students of classes 1 to 12th are eligible to appear for the 1st level Olympiads. Students who qualify for the 2nd level exam include.

(a) Top 5% of students’ class wise, who appear for the 1st level exam,

(b) State wise top 25 rank holders class wise, and

(c) Class toppers from each participating school where at least 10 students from a class appear in the exam & scores 50% qualifying marks.

Note – Students from classes 1 and 2 are not required to appear for the 2nd level exam and are ranked based on their performance in the first level exam.

Awards and Certificates Details

Awards and Medals	Eligibility
Certificate of Participation	All students participated in Olympiads
Certificate of Merit	Rank holder of Class (Minimum 10 students participating each class)
Qualifier of Gold Medal	Top Rank Stage 2 Selected Students
Qualifier of Silver Medal	Second Top Rank Stage 2 Selected Students
Certificate of Excellence/Appreciation	Outstanding Performance Certificate to all Stage 2 Participants
Hall of Fame	Best Performing Students in Stage 2/Final Olympiad Exam
Achievers Gold Medal	Rank holder in International Olympiad Ranking
Cash Rewards	Top 10 Students

Olympiad Registration

• Class: You need to be a student in Classes 1 to 12 to be eligible for this exam.
• Boards: You must be a student of SSC, ICSE or CBSE boards.
• Qualifying for second level examination:

The top 5% of students (class-wise) also benchmark percentile score who appear for the first level exam.

Class toppers from each participating school; where at least 10 students participate and score a minimum of 50%.

• Year of attempt: As long as you’re a student enrolled in any of Classes 1 to 12, you can apply for International Science Olympiad and IMO or International Maths Olympiad)
• Number of attempts: You can attempt only once in a year for any olympiad with 2 qualifying stages.
• Year of attempt: As long as you’re a student enrolled in any of Classes 1 to 12, you can apply for International Science Olympiad and IMO or International Maths Olympiad once in every academic year.

Maths Olympiad  

Class	Syllabus	Class	Syllabus
Class 1	Maths Olympiad Class 1	Class 4	Maths Olympiad Class 4
Class 2	Maths Olympiad Class 2	Class 5	Maths Olympiad Class 5
Class 3	Maths Olympiad Class 3	Class 6	Maths Olympiad Class 6
Class 7	Maths Olympiad Class 7	Class 10	Maths Olympiad Class 10
Class 8	Maths Olympiad Class 8	Class 11	Maths Olympiad  Class 11
Class 9	Maths Olympiad Class 9	Class 12	Maths Olympiad Class 12