Syllabus : Future Tech Olympiad 2.0
Syllabus :
Future Tech Olympiad 2.0
Introduction
to Future Tech Olympiad Syllabus
This syllabus is
designed to help students in classes 9 to 12 prepare for the future by gaining
a deep understanding of advanced technologies. It covers topics such as Digital
Literacy, Digital Etiquette, AI, AR, VR, Blockchain, and IoT. Additionally, this
syllabus integrates concepts from computer science books, ensuring a
well-rounded and practical learning experience. Students will have the
opportunity to apply their knowledge through projects and research, enhancing
their skills for the future.
- Digital Citizenship
Introduction to Digital Citizenship
●
Defining digital citizenship and
its importance in the digital age.
●
Recognizing the role of
individuals in online communities.
Online Etiquette and Responsible Behavior
●
Practicing respect and kindness in
digital interactions.
●
Understanding the consequences of
cyberbullying and online harassment.
Digital Footprint and Privacy
●
How online actions can leave a
digital footprint.
●
Protecting personal information
and privacy online.
Cybersecurity and Internet Safety
●
Awareness of online threats and
dangers.
●
Best practices for staying safe
online.Media Literacy
●
Analyzing and evaluating online
information and sources.
●
Identifying fake news,
misinformation, and digital manipulation.
Copyright and Intellectual Property
●
Understanding copyright laws and
intellectual property rights.
●
Properly crediting and using
content created by others.
Critical Thinking and Digital Resilience
●
Developing critical thinking
skills to navigate the digital landscape.
●
Building resilience to online
negativity and misinformation.
Balancing Screen Time and Well-being
●
Recognizing the importance of a
balanced digital life.
●
Strategies for managing screen
time and maintaining physical and mental well-being.
Digital Citizenship in Social Media and Gaming
●
Appropriate behavior and etiquette
in social media and online gaming communities.
●
Dealing with online trolls and
harmful content.
Becoming a Positive Digital Citizen
●
Encouraging positive online
behavior and community-building.
●
Empowering others to be
responsible digital citizens.
- Artificial Intelligence (AI) and Machine Learning
Introduction to AI
●
What is AI?
●
History of AI
●
Types of AI
●
Applications of AI
●
AI ethics and responsibility
Machine Learning
●
What is machine learning?
●
Supervised learning
●
Unsupervised learning
●
Reinforcement learning
Deep Learning
●
What is deep learning?
●
Neural networks
●
Convolutional neural networks
●
Recurrent neural networks
AI Programming
●
Introduction to Python
●
Programming for AI
●
AI libraries and frameworks
AI Project Development
●
Project planning
●
Data collection and preparation
●
Model development and evaluation
●
Model deployment and maintenance
AI Applications in Different Domains
●
Computer vision
●
Natural language processing
●
Speech recognition
●
Machine translation
●
Robotics
AI Research and Development
●
Current trends in AI research
●
Open source AI platforms
●
AI standardization
●
The future of AI
- Augmented Reality (AR) and Virtual Reality (VR)
Development
Introduction to AR and VR
●
What is AR?
●
What is VR?
●
Differences between AR and VR
●
Applications of AR and VR
●
History of AR and VR
AR and VR Technologies
●
AR hardware
●
VR hardware
●
AR and VR software
●
AR and VR development platforms
AR and VR Development
●
Introduction to programming for AR
and VR
●
Building AR and VR experiences
●
Testing and deploying AR and VR
experiences
Advanced AR and VR Topics
●
Artificial intelligence (AI) and
machine learning (ML) for AR and VR
●
Augmented virtuality (AV) and
mixed reality (MR)
●
AR and VR for different industries
Advanced AR/VR Development
●
In-depth understanding of AR and
VR technologies.
●
Building immersive AR/VR
experiences.
●
AR/VR in professional training and
simulations.
- Blockchain and Internet of Things (IoT) in Business
and Industry
Blockchain Beyond Cryptocurrency
●
Enterprise blockchain solutions.
●
Supply chain management and
blockchain.
●
Blockchain for financial services.
Introduction to IoT
●
What is IoT?
●
History of IoT
●
Applications of IoT
●
IoT architecture
●
IoT technologies
●
IoT security and privacy
IoT Programming
●
Introduction to Python
●
Programming for IoT devices
●
IoT cloud programming
IoT Project Development
●
Project planning
●
Hardware and software selection
●
Prototyping and testing
●
Deployment and maintenance
Blockchain and IoT Integration
●
Combining blockchain and IoT for
secure data exchange.
●
Case studies in blockchain-enabled
IoT solutions.
●
Developing and implementing
real-world blockchain-IoT projects.
Students
are invited to complete any 2 course following suggestive courses on https://skillsbuild.org
●
Artificial Intelligence Fundamentals
●
AI Foundations
●
Cybersecurity Fundamentals
●
Information Technology Fundamentals
●
Explore Emerging Tech
●
Data Science Foundations - Level 1
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