How to apply for Olympiad exam for class 8
School Connect Online Olympiad is an integrated learning program for schools to create a single window of learning process to engage each and every student with teachers, school and parent in a disciplined environment of schools with reports to analyse and remediation.How do I prepare for class 8 Olympiad
School Connect Online provides the best learning materials to the students preparing for Olympiads, through the disciplined learning platform where students will get reading notes which are supported by best available videos, practice questions, mock tests and assessment, the school connect online platform provides self organized learning environment to the students for the academic excellence also for the outstanding performance in competitive exams
School Connect Online is Funded and incubated by Startup Oasis, Jaipur an initiative of CIIE –Indian Institute of Management Ahmadabad (IIM-A).
Students who are preparing for Maths Olympiad, Science Olympiad, AI Olympiad, Coding Olympiad will get free preparation best in class materials which is supported by free videos for each topic, practice questions ,mock tests, sample papers and performance analysis.
School Connect Online support students with best online platform for their studies and till now we have successfully completed Online Maths Olympiad, Online Science Olympiad, Online Coding Olympiad and Online AI Olympiad.
- The best disciplined e-learning portal with Read, Practice,Test and Analysis flow.
- Mock Tests to practice real exam like situation.
- 70,000+ non repeating Questions for students to prepare for Olympiad Exam with CBSE followed syllabus.
- Participating students will get exposure to analytical based questions.
- First time in any Olympiad,School Connect give students an opportunity to analyse the questions with solution post Olympiad exam.
- Reading notes to students with best learning linked videos.
- Teachers of School can see the learning flow of students and their performance.
- A single window view report of the entire school’s performance. With Lesson Plan/Class Plan driven learning progress.
Free Study Materials for Maths Olympiad and Science Olympiad
|1||Practice Questions||Study Materials|
|2||Chapter wise||Reading Notes|
|3||Mock Tests||Free Videos|
|4||Maths Reasoning||Learning Platform|
|5||Achievers Practice questions||Performance Update|
|6||Sample Papers||Competition Update|
Register Now with School Connect Online Olympiad 2021-22,and access to the best free learning materials and free adaptive videos.
|Register Now for International Artificial Intelligence (AI) Olympiad 2021-22|
|Register Now for International Coding Olympiad 2021-22|
|Register Now for International Maths Olympiad 2021-22|
|Register Now for International Science Olympiad 2021-22|
|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. INTRODUCTION TO Artificial Intelligence
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 beginnings of modern Artificial Intelligence can be traced to classical philosophers’ attempts to describe human thinking as a symbolic system. But the field of AI wasn’t formally founded until 1956, at a conference at Dartmouth College, in Hanover, New Hampshire, where the term “artificial intelligence” was coined.
- Artificial Intelligence NEED
Educational Requirements for Careers in Artificial Intelligence. Basic computer technology and math backgrounds form the backbone of most artificial intelligence programs. Various level of math, including probability, statistics, algebra, calculus, logic and algorithms.
- Artificial Intelligence(AI) PURPOSE
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 talk all the time about technological advances. Businesses become fully digitised. We push for innovation and new technologies that will help humanity evolve, become better. Buzzwords like AI, automation and quantum technology are all trending in social media.
- Artificial Intelligence ETHICS
At its simplest, ethics is a system of moral principles. They affect how people make decisions and lead their lives. Ethics is concerned with what is good for individuals and society and is also described as 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 to take advantage of machine learning and artificial intelligence (AI) to derive practical business value.
- PROBLEM SCOPING
The ultimate goal of artificial intelligence is to create computer programs that can solve problems and achieve goals like humans would. There is scope in developing machines in robotics, computer vision, language detection machine, game playing, expert systems, speech recognition machine 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 analog signals and transform them to digital signals using an analog-to-digital converter.
- DATA EXPLORATION
Data Exploration is an approach similar to initial data analysis, whereby a data analyst uses visual exploration to understand what is in a dataset and the characteristics of the data. Actually, it is initial data analysis. Exploration should come before any statistical analysis and machine learning model.
- DATA MODELING
Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques.
|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|