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Based on the institutional partnerships, Duke Kunshan University will organize students to attend AI and Machine Learning Summer Program held at DKU Global Summer Institute (GSI) and St. Antony College, Oxford. The program is designed as a cross-border initiative that includes TWO Phases: one week at DKU (7.23-7.28) and two weeks at Oxford (7.30-8.12). Participant needs to select one program from GSI Session 1 (Design Thinking & Social Entrepreneurship / Machine Learning / Environmental Sustainability) on July 23 – 28 before going to Oxford.
Diagnosing disease, predicting weather events, identifying fraud, personal assistants who anticipate our next desire (Alexa, Siri, Cortana, etc.), we have all heard about the new amazing things machine learning can do, but do you understand how these algorithms work and when we can expect them to work and, perhaps more importantly, when and why they fail? As a data scientist or machine-learning practitioner, you will be asked to explain how your algorithm works when it works and why your algorithm failed when it fails, and there will be times when it fails! We will discuss reasons algorithms may fail in this summer.
The program will be discussion-oriented requiring a high degree of participation by students in the classroom and extracurricular activities. Upon successful completing of the program, participant will receive a certification of completion delivered by DKU and 6 ECTS credits (credits in the European System).
For the one-week learning experience at DKU, students will be able to:
Learn the fundamentals and interdisciplinary knowledge offered by one of the three programs in GSI Session 1: Design Thinking & Social Entrepreneurship / Machine Learning / Environmental Sustainability.
For the two weeks at Oxford, students will be able to:
1. Prerequisites: Calculus, Linear Algebra, Probability and Statistics
For the two weeks at Oxford, familiarity with the basics of Python is required additionally, before the course starts.
2. Good English proficiency required for non-native English speakers, pass CET-4, CET-6/TOEFL (85)/IELTS (6.5) preferred.
3. Excellent academic performance, minimum GPA 3.0/4.0.
4. Strong interests in pursuing graduate programs at DKU preferred.
5. AI & Machine Learning Program at Oxford is the optional choice only for students who participates in Session 1 (students need to select one program in DKU Session 1 before participating in Oxford program).
Program Fee at Duke Kunshan (One program at Session 1): 6,750 RMB
Pay to Duke Kunshan University
Including: Tuition fee, on-campus lodging, meals, site visits, insurance, welcome reception and farewell, etc.
Program Fee at Oxford (Session 2): £3,250 Pounds
Pay to Oxford International Study Abroad Programme
Including: tuition fee, lodging, two-day study visits, visa application service fees, group pick up to and from the airport by private coach, entrance fees for all the Oxford site group visits, international insurance fees, Welcome Tea and Gala Dinner.
Not including airfare, visa fee, lunch and dinner, etc.
Dr. Patrick Rebeschini
Associate Professor, Department of Statistics, University of Oxford
Dr. Christoph Reisinger
Associate Professor for Mathematical Finance, Mathematical Institute, University of Oxford
Faculty Member of the Oxford-Ni Financial Big Data Lab
Associate Member of the Man-Institute for Quantitative Finance
Dr. Adel Bibi
Senior research fellow in machine learning and computer vision, Department of Engineering Science, University of Oxford
For instructors, overview and other information about programs in session 1, please kindly refer to the specific webpage of your intended program (Design Thinking & Social Entrepreneurship / Machine Learning / Environmental Sustainability).
• Bedroom Location: Worcester College (founded in 1714, is one of the constituent colleges of the University of Oxford in the UK)
• Classroom Location: St Antony’s College (founded in 1950, is one of the constituent colleges of the University of Oxford in the UK)
Bedroom Specifications:
Comfortable and spacious standard single rooms in 3 or 4 bedroom flats with shared bathroom and kitchen facilities.
Room types available: Single Standard
(Images are for illustrative purposes only. Bedroom layout and size vary.)
Only 36 seats reserved for this program.
The application and admission are on the basis of “first come first serve” principle.
