Computer Science and Artificial Intelligence at University College London

Faculty of Computer Science and Artificial Intelligence: University College London

Location: University College London (UCL), Bloomsbury Campus

Class Size: 12 students per class

Faculty Contact Hours: 30 hours per week

Program Overview

The Computer Science and Artificial Intelligence Faculty at Innovate Summer Academy offers students a rich introduction to computer science fundamentals and artificial intelligence concepts. This program is designed to bridge academic knowledge with hands-on experience, blending theoretical study with real-world applications.

Students engage deeply with core areas of computer science, such as programming, data analysis, and machine learning, gaining both technical knowledge and an understanding of the ethical and societal impacts of AI. The course aims to nurture critical thinkers, creative problem solvers, and responsible technology users. By the end of the program, students will possess a well-rounded skill set and a clearer sense of possible specializations and career paths within the technology sector.

What’s Included

• 14 nights / 15 days full board accommodation at UCL, Bloomsbury campus, in single ensuite rooms.

• 60 hours of academic input over two weeks, including core lessons, guest lectures, masterclasses, and project preparation.

• 2 company visits to leading legal institutions.

• 2 university visits to explore higher education opportunities and academic life.

• 1 faculty-related visit designed to complement academic learning.

• 2 full-day excursions to iconic destinations and landmarks.

• Travel card for unlimited travel within London during the program

Accommodation

University College London, Bloomsbury Campus

Students will stay in single ensuite rooms at UCL’s Bloomsbury campus, offering a safe and comfortable environment in the heart of London.

Features Include:

• Full board with daily hot breakfast, lunch, and dinner (packed meals on excursion days).

• Private ensuite rooms with a desk, wardrobe, and ample storage space.

• Access to shared facilities, including a kitchen, canteen, cinema room, music and games rooms, and landscaped gardens.

• 24-hour onsite security ensuring a safe and secure stay.

• Convenient location within walking distance of iconic London landmarks and attractions.

This prime Zone 1 location allows students to fully immerse themselves in the vibrant city experience while focusing on their academic and personal development.

Sample Faculty

·       Dr. Nadine Randel (University of Cambridge)

·       Dr. Katty Wadda (University of Cambridge)

·       Ms. Christiane Cladrow (University of Edinburgh)

·       Professor Anna Chechel (University of Cambridge)

·       Dr. Anita Karsa (University of Cambridge)

Sample Industry Visits

Agribot: AI in Agriculture

Explore how AI is transforming agriculture by optimizing crop management, irrigation, and pest control. Experience hands-on activities to learn about AI-driven solutions that improve farm efficiency and sustainability.

Mixed Reality Rooms

Engage with cutting-edge technology in Mixed Reality Rooms, where digital and physical worlds merge. Participate in interactive simulations that bring learning to life in fields like engineering, medicine, and design.

Sample Guest Speakers

• Vardaan Shekhawat, CEO, UK Jobs Insider: Insights on career readiness and industry trends.

University and Cultural Enrichment

• Explore UCL’s vibrant campus through guided tours and faculty Q&A sessions.

• Participate in cultural walking tours and visits to landmarks such as Parliament Square and Buckingham Palace.

Sample Excursions

Visit to the University of Oxford

• Explore Oxford: Discover the historic city of Oxford and tour one of its prestigious colleges.

• Immerse in Academia: Experience the renowned academic atmosphere and gain insights into life at one of the world’s top universities.

• Guided Tour: Take a guided tour that highlights Oxford’s rich history, stunning architecture, and iconic landmarks.

Brighton Excursion

• Seaside Adventure: Enjoy a full-day trip to the vibrant and picturesque seaside city of Brighton.

• Iconic Brighton Pier: Stroll along the famous Brighton Pier and take in the lively beachfront atmosphere.

• Discover The Lanes: Explore The Lanes, a historic shopping area filled with unique boutiques, charming cafes, and eclectic shops.

Sample Curriculum

Core Module 1: Introduction to Computer Science

This foundational module introduces students to the key principles of computer science, covering topics such as binary systems, hardware components, computational logic, and the structure of computer systems. The module provides a historical overview of computing, explaining how early innovations have evolved into today’s technology landscape.

Core Module 2: Programming Essentials

This module introduces students to programming concepts through Python. Students learn about variables, loops, conditionals, and functions as they begin to code simple applications, emphasizing problem-solving and debugging techniques. This module also touches on algorithmic thinking, giving students tools to plan and write efficient code.

Core Module 3: Foundations of Artificial Intelligence

This module provides an introductory overview of artificial intelligence, including its historical development, fundamental concepts, and current applications. Students learn about machine learning, neural networks, and natural language processing, discussing how AI is applied in fields such as healthcare, finance, and entertainment. Ethical considerations, including privacy, bias, and accountability in AI, are discussed to help students develop a thoughtful approach to AI.

Core Module 4: Machine Learning Techniques

This module introduces students to core machine learning techniques, and guides them through the process of training models on datasets. Students learn to differentiate between types of machine learning and to select appropriate algorithms for various tasks. Hands-on activities focus on applying simple machine learning models, allowing students to experience the iterative nature of model training and tuning.

Program Benefits

Academic Excellence:

• 60 hours of academic input, combining lectures, workshops, and projects.

• Access to expert faculty with extensive experience in their fields.

Immersive Learning:

• Hands-on projects like coding, computer programming and training on a machine learning model

• Real-world applications through guest lectures and industry visits

Cultural Enrichment:

• Guided university tours, including UCL, and excursions to iconic London landmarks such as Parliament Square and Buckingham Palace.

• Interactive team-building activities and cultural walking tours to foster connections among students.

Holistic Development:

• One-on-one mentorship, academic and personal guidance, and career counselling through the Career Dive module.

• Reflective learning opportunities, including journals, peer feedback, and the Innovate Learning Portfolio.

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Student Welfare and Support

• Accommodation: Full board, single ensuite rooms at UCL, Bloomsbury campus.

• Safety: 24/7 onsite security and medical resources.

• Personalized Mentorship: Each student receives tailored academic and personal support.

Not included:

•           Airport transfers for all London airports (£150 each way)

Minimum English level requirement – B1+