4 WEEK COURSE

Choose 2 different courses and / or locations.

Dates 2024
Fees

Residential: £10,350

Non-Residential: £8,595

6 WEEK COURSE

Choose 2-3 different courses and / or locations.

Dates 2024
Fees

Residential: £14,450

Non-Residential: £12,825

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COURSE HIGHLIGHTs

Location: London University, Cambridge University

Academic: Learn ARTIFICIAL INTELLIGENCE (AI) through hands on lessons and projects

Outcome: Enhance your CV, academic broadening and knowledge

Gain Motivation, Self Confidence, Independent. Make friends and discover “yourself”

Awards: Certificate, report and full credit transcript awarded upon completion of the course

Tutors: Highly qualified AI Tutors, specialists in their field, educated at top Universities

Social Programme: Exciting social programme including 3 coach trips

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 Field trip 2024

 

 


Gain 3.5 credits or 7.5 ECTS credits
*Receive a detailed report
Graduation certificate
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Exciting AI  Workshops

 

ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) for 15 TO 18 year olds

Wednesday, November 15, 2023

Artificial Intelligence, often abbreviated as AI, refers to the development of computer systems that can perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, language understanding, and decision-making. AI systems are designed to analyze data, adapt to changing inputs, and perform tasks to achieve specific goals without explicit programming.
 
This course is aimed at Senior High School students aged 13-15 who would like to learn about this exciting field in this unique 2 week taster course to be held in University of London UCL or one of the Cambridge University Colleges. It incorporates the programming language python as a tool to teach students AI and Machine Learning. Although useful Students need to have no previous programming experience in python to join this course – only an interest to learn python and learn about real world AI problems and solutions. The Course is workshop driven where students work individually and in groups to provide solutions to real world AI problems. Students will have workshops on AI and Machine Learning (ML) applied to facial recognition and voice recognition technology that can be an engaging and educational experience for our Summer school students.
 
This 14-day summer taster course provides a comprehensive introduction to Python programming and machine learning, equipping participants with practical skills and knowledge in AI and ML. The course balances theoretical understanding with hands-on experience, ensuring that students leave with a solid foundation in both programming in Python and the exciting world of artificial intelligence.

Gateway to AI and ML Mastery
AI

Why Should Senior High School Students Learn AI and Python?

  • Relevance to the Future Job Market:

    AI is a rapidly growing field, and there is a high demand for professionals with AI skills. Learning AI and Python at a young age prepares students for future career opportunities.

  • Critical Thinking and Problem Solving

    AI encourages students to think critically and solve complex problems. The process of creating AI models involves understanding algorithms, experimenting, and refining solutions.

  • Creativity and Innovation

    AI projects often involve creativity and innovation. Students can explore and develop unique applications of AI, fostering their creativity and problem-solving abilities.

  • Interdisciplinary Applications

    AI is not limited to computer science; it intersects with various disciplines. Students can apply AI concepts to subjects like biology, physics, economics, and more, expanding their understanding of interdisciplinary connections.

  • Enhanced Computational Thinking

    Learning to program in Python, a versatile and beginner-friendly language, enhances students’ computational thinking skills. Python is widely used in AI development, making it a valuable language to learn.

  • Preparation for Higher Education

    Many universities and colleges include AI and Python programming in their computer science curriculum. Familiarity with these topics gives students an advantage in higher education.

  • Ethical Considerations

    Understanding AI also involves discussions on ethics and responsible AI development. Senior high school students can engage in conversations about the ethical implications of AI, preparing them for responsible technology use in the future.

Course Overview:

Syllabus Outline 

Week 1: Foundations of Artificial Intelligence(AI)

  • Ice-breaking activities
  • Overview of the course structure and objectives
  • Understanding the significance of AI in today’s world
    • Introduction to Python basics: syntax, variables, and data types
    • Hands-on coding exercises to build a strong foundation in programming
  • Introduction to Python programming language
  • Hands-on coding exercises to build a foundational understanding
  • Data Manipulation with Python
  • Exploring libraries like NumPy and Pandas for data manipulation
  • exercises in data cleaning and preprocessing
  • Exploring the role of data in AI
  • Basics of data collection, cleaning, and analysis
  • Understanding the concept of machine learning
  • Overview of supervised and unsupervised learning
  • Case studies showcasing real-world applications
  • Hands-On Machine Learning with Scikit-Learn
    • Practical sessions using Scikit-Learn for implementing machine learning algorithms
    • Supervised learning: Regression and Classification
  • Implementing Your First ML Model and Neural Networks and Deep Learning
  • Guided project work applying the learned Python and machine learning concepts
  • Presentations and feedback on the projects
  • Introduction to neural networks
  • Basic architecture and functioning of deep learning models
  • Hands-on activities with simple neural network implementation

Week 2: Applications of Artificial Intelligence and Advanced AI Concepts and Applications

  • Understanding the basics of neural networks
  • Building a simple neural network using TensorFlow and Keras
  • Understanding how AI interprets visual information
  • Hands-on exercises with image recognition and object detection
  • Computer Vision with Python and OpenCV
  • Exploring computer vision applications in AI
  • Practical sessions using OpenCV for image processing
  • Discussion on ethical considerations in AI
  • Exploring the importance of responsible AI development
  • Guest speakers from various industries sharing their experiences
  • Interactive sessions on AI in healthcare, finance, and other sectors
  • Group project assignment incorporating learned concepts
  • Final presentations and peer evaluations
  • Closing ceremony, certificate distribution, and reflections on the course

Workshop

These workshops are designed to provide a comprehensive learning experience for senior high school students interested in AI and Python. Adjust the complexity based on the students’ prior knowledge and the overall duration of the summer course.

This workshop structure aims to balance theoretical understanding with hands-on experience, allowing participants to gain practical skills in implementing facial recognition systems using AI and ML concepts.

 

Objective: Establish a foundational understanding of Python programming.

    • Basic Python Syntax:
      • Variables, data types, and operators
      • Control structures: if statements, loops
    • Functions and Modules:
      • Defining functions
      • Importing and using modules
    • Hands-On Coding Exercise:
      • Simple Python programs to reinforce concepts

Objective: Introduce students to data manipulation using Python.

    • Introduction to Libraries:
      • Overview of NumPy and Pandas for data manipulation
    • Data Cleaning and Preprocessing:
      • Handling missing data
      • Data normalization and scaling
    • Practical Exercise:
      • Cleaning and preprocessing a sample dataset

Objective: Provide an overview of machine learning concepts.

    • Basic Machine Learning Concepts:
      • Supervised vs. unsupervised learning
      • Classification and regression
    • Introduction to Scikit-Learn:
      • Overview of the Scikit-Learn library
      • Training and evaluating a simple model
    • Hands-On Exercise:
      • Building a basic machine learning model

Objective: Provide an overview of machine learning concepts.

    • Basic Machine Learning Concepts:
      • Supervised vs. unsupervised learning
      • Classification and regression
    • Introduction to Scikit-Learn:
      • Overview of the Scikit-Learn library
      • Training and evaluating a simple model
    • Hands-On Exercise:
      • Building a basic machine learning model

Objective: Explore the applications of AI in processing natural language.

    • Introduction to NLP:
      • Tokenization, stemming, and lemmatization
      • Sentiment analysis basics
    • NLP Libraries in Python:
      • Overview of NLTK or SpaCy
    • Practical NLP Exercise:
      • Implementing a basic sentiment analysis model

Objective: Explore the role of AI in interpreting visual information.

  • Introduction to Computer Vision:
    • Basics of image processing
    • Object detection and recognition
  • Hands-On Exercise with OpenCV:
    • Implementing image processing tasks
  • Computer Vision Applications:
    • Discussing real-world applications of computer vision

Objective: Emphasize the importance of ethical considerations in AI development.

  • Ethical AI Principles:
    • Bias and fairness
    • Transparency and accountability
  • Case Studies:
    • Analyzing ethical considerations in AI projects
  • Discussion and Reflection:
    • Engaging students in ethical discussions and reflections

Objective: Apply learned concepts to a collaborative AI project.

  • Project Planning:
    • Defining project scope and goals
  • Implementation:
    • Guided project work with mentors
  • Presentation and Evaluation:
    • Final presentations and peer evaluations

Course Features:

  • Practical Coding: Daily hands-on coding exercises to reinforce Python and machine learning concepts.
  • Project-Based Learning: Apply learned skills to real-world projects.
  • Interactive Labs: Engage in interactive lab sessions for a deeper understanding.
  • Guest Speakers: Industry professionals sharing insights on Python and machine learning applications.
  • Ethical AI: Emphasize ethical considerations in AI and responsible machine learning practices.

Learning Objectives:

  • Critical Thinking and Problem-Solving:
    • Develop critical thinking skills in problem-solving using AI.
  • Collaboration and Communication:
    • Foster collaboration and effective communication in group projects.
  • Adaptability and Curiosity:
    • Cultivate an adaptable mindset and curiosity about AI advancements.

By addressing these learning objectives, the AI course for high school students aims to provide a comprehensive understanding of AI concepts, practical skills in Python programming and machine learning, ethical considerations, and the ability to apply these skills to real-world projects. The course aims to inspire curiosity and lay the groundwork for further exploration in the field of artificial intelligence.

Week one


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Week two


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LITE Regal Summer School will be an experience to remember. You’ll develop personally and academically as you are inspired, challenged and supported. From the programme you can expect to:

  • gain invaluable insight through workshops that could prove advantageous in your future University application and career choice
  • find out about subjects like Modern Architecture, which are not necessarily taught at school but could be perfect for you to study at University
  • develop critical solving skills
  • make friends from all over the world
  • learn from world class academics and researchers at a University ranked 4th best in the world
  • improve your study skills whilst working in a range of stimulating environments
  • develop your practical skills as well as your theoretical knowledge
  • work in teams to develop your interpersonal and organisational abilities
  • enjoy the LITE Regal experience

The LITE Regal Summer School isn’t all about work! Our dedicated Events Team has created an exciting action packed social programme to complement your studies to ensure you have as much fun as possible, make friends and get the most out of your stay with us.

Please visit our activities page for more details: Cambridge  London

Cultural Excursions

Excursions take a full advantage of an excellent transport network both from London and Cambridge, giving you a real taste of life in England.
Destinations can include: Harry Potter World, Windsor Castle & Eton College, Oxford, Brighton, Chessington World of Adventure.

After School Activities

There is so much going on in London and Cambridge and we don’t think you’ll be bored. After classes you’ll have a range of activities to enjoy too.
Here are a few examples of the kind of activities you might have the opportunity to enjoy this summer:
visiting London Eye, Madame Tussauds or the famous Houses of Parliament, film nights, punting down the river, visiting a West End Theatre, themed parties, sports including tennis, swimming, dancing and many more.

Free Time

We understand that students will want some free time to relax, attend to personal administration and contact their families. Some free time will be provided for rest and relaxation, however, we believe the most valuable experience to the student is a fully immersive, packed programme of activities and so students should expect to be engaged in team activities for the majority of time.

You will be accommodated in one of the College campuses. You will be allocated a room, usually sharing a twin room with another student of the same gender. Typically students will be accommodated on single-sex corridors or floors, with staff members and mentors always available on site. Living all together is a great way to make friends and sample the university lifestyle, as the welcoming environment allows you to develop a sense of community.

Breakfast and lunch is served and eaten in the College dining hall, which provides a bright and comfortable space for communal meals. Students will enjoy a varied and healthy diet: all meals are freshly prepared and special diets can be catered for with advance notice. A three-course dinner is provided daily either in the College dining hall, or in various restaurants as part of the social programme.

Safety and Security on Campus

Students will be overseen by our course leaders and residential staff to classes and activities, who ensure that students are looked after pastorally and socially during their programme and are available to assist students at any time of the day or night.

All students will be issued with emergency contact details for staff members and will be given a full safety briefing on arrival.

LITE Regal Summer School offers a safe and secure environment that is staffed 24 hours a day, 7 days a week by our friendly and professional team. We have a dedicated team of Managers, Teachers and College Mentors. The welfare of our students is our main priority at all times and our staff specialise in the pastoral care of older teenagers.

Management Team

Our Management team is headed by the College Principal, who takes responsibility for the daily running of the college, and supervises the Academic Programme. The Social & Welfare Manager takes charge of the Social Programme and is supported by a team of College Mentors, who ensure everyone is happy, safe and having fun.

Working together, our Managers ensure that every aspect of the college runs smoothly, safely and offers every student the chance to participate fully.

College Mentors

Our Mentors are key members of staff who support and assist our students within the college accommodation and throughout the Social Programme. Our team of College Mentors work with our Social & Welfare Manager in organising the college’s social events and excursions, as well as accompanying students into campuses and during day trips. They are approachable and caring, ensuring that all students get involved in the life of the college.

Students on Computer Science and course :

  • must be aged 15-18 before 1st September 2024 (if you are unsure of the age criteria entry please contact our registration team)
  • must show enthusiasm for Architecture
  • must be fluent or near-fluent English language speakers – if you are unsure whether your English level is suitable for this programme, please contact our registration team –
  • For all UK students in Sixth form and all overseas students enrolled in International British Schools or English Course taught in English – Will be exempt from providing any necessity to prove their competence in English
  • must show motivation for attending the programme and participate in terms of attendance at lessons, meals and events

All successful applicants will also be required to provide a signed letter of consent from their parent or guardian. If offered a place on one of our summer school courses, students and parents / guardians will also be required to sign a Code of Conduct for the summer school.

The cost of one LITE Regal Summer School programme is £5,495 and includes the following:

Tuition

  • Over 40 Hours of Tuition Over Two Weeks
  • All Course Materials
  • Guest Lectures and Industry Visits
  • Academic Reports and Certificates

Social programme

  • Wide Range of Afternoon & Evening Activities
  • 3 Coach Excursions to Various Parts of UK
  • Graduation Party

Living

  • Accommodation on the University Campus
  • Breakfast, Lunch and Dinner
  • Free WiFi (subject to availability)
  • Bed Linen & Towels Provided

Plus

  • LITE Regal Summer School Welcome Pack
  • T-Shirt
  • Souvenir