An intensive summer programme designed to introduce students aged 19+ to the principles of Artificial Intelligence.
A one-week programme, residential in a college of the University of Oxford.Apply Now
This course is focussed on providing students with knowledge and understanding in the various strands and concepts of modern day Artificial Intelligence (AI) such as big data machine learning, deep learning along with programming languages such as R, Python and Hadoop.
It will take both a theoretical and applied approach through hands on exercises as well as sharing case examples and demonstrations throughout the course with students to strengthen their knowledge, understanding and skills in using AI techniques. A notable feature of the course will be underlying technical coverage of conversational agents such as Siri, Alexa, Cortana and so on.
The course will start by laying out the essential components of machine learning systems and discuss the practical application of various AI programming languages along with their relative strengths and weaknesses and will introduce the regression technique for inferring continuous values. From here the course will aim to develop students’ skills in natural language processing tasks and assist students in finding the right machine programmable representations for both text and spoken documents.
In addition, students will be shown how machine translation techniques can be used without the need for human intervention and students will be shown complex information retrieval methods such as web crawling and indexing techniques along with statistical and technical tools. The final day will focus on ‘the deep learning revolution’ that is taking place around the world and will involve a critical discussion of contemporary machine learning models and future developments in AI that are on the horizon.
By the end of the course students will understand:
|Monday||Lecture 1: Modern AI Principles-core concepts|
|Seminar 1: Hands on practical experience in the use of programming tools and languages|
|Tuesday||Lecture 2: Current developments in Machine Learning and Big Data|
|Seminar 2:Applying machine learning principles to tasks in regression, classification and model generality problems Big data set case study analysis|
|Wednesday||Lecture 3: Natural Language Processing- using programming to process and analyse large natural language data sets|
|Seminar 3: Work through practical exercises to develop skills in language modelling, ,text representation, machine translation and conversational agents|
|Thursday||Lecture 4: Information Retrieval-focusing on automated internet algorithms|
|Seminar 4: Applied technical practice in using web crawling, indexing and ranking tools. Applied case study analysis of information retrieval systems in use|
|Friday||Lecture 5: Deep Learning and the evaluation of machine learning models|
|Seminar 5: Presentations, course review and action planning|
1 x Written Assignment (500-750 words)
1 x Group Presentation
A Robotics summer course designed to give students a practical, hands-on head start in the...
The Summer Robotics Programme introduces students to the ever-expanding field of Robotics, exploring the science...