How do I prepare for class 8 Olympiad

How do I prepare for class 8 Olympiad

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.

Benefits of School Connect Online Olympiad –

  1. The best disciplined e-learning portal with Read, Practice,Test and Analysis flow.
  2. Mock Tests to practice real exam like situation.
  3. 70,000+ non repeating Questions for students to prepare for Olympiad Exam with CBSE followed syllabus.
  4. Participating students will get exposure to analytical based questions.
  5. First time in any Olympiad,School Connect give students an opportunity to analyse the questions with solution post Olympiad exam.
  6. Reading notes to students with best learning linked videos.
  7. Teachers of School can see the learning flow of students and their performance.
  8. 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

1Practice QuestionsStudy Materials
2Chapter wiseReading Notes
3Mock TestsFree Videos
4Maths ReasoningLearning Platform
5Achievers Practice questionsPerformance Update
6Sample PapersCompetition Update
How do I prepare for class 8 Olympiad

Register Now with School Connect Online Olympiad 2021-22,and access to the best free learning materials and free adaptive videos.

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Syllabus for Class 8 Maths Olympiad

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

Syllabus for Class 8 Science Olympiad

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

Syllabus for Class 8 Coding and Learning Olympiad

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

Syllabus for Class 8 AI Olympiad

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.

Maths Olympiad  

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