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 –
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.
|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 12||Exponents and Powers|
|Chapter 13||Direct and Inverse Proportions|
|Chapter 15||Introduction to Graphs|
|Chapter 16||Playing with Numbers|
|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 14||Chemical Effects of Electric Current|
|Chapter 15||Some Natural Phenomena|
|Chapter 17||Stars and The Solar System|
|Chapter 18||Pollution of Air and Water|
|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|
|Lesson : 9||Introduction of Kotlin Programming Language|
|Lesson : 10||Kotlin Vs Java|
|Lesson : 11||What is Sprite in Scratch Programming?|
|Lesson : 12||Sprite based Shapes|
|Lesson : 13||Sprite based Animation (Any)|
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|
- 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.
|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|