This exclusive programme will give participants the opportunity to attend lectures focusing on science, technology, earth science and mathematics. Through attending lectures delivered by faculty members from the University of Oxford and the University of Cambridge, delegates will gain an understanding of the various fields within the science spectrum. Oxford is famed for it’s advanced research facilities and Nobel Prize winners for scientific discoveries. Delegates will experience both practical and theory-based teaching with complementary visits to research laboratories.
About This Programme
|Length||STEM courses take place during the month of August, with multiple courses on offer. Please note if you select the STEM track, you can only select courses from this track.|
Summer Session 3: 29 July – 11 August 2018
Summer Session 4: 12 August – 25 August 2018
|Lectures / Exams||15-20 hours of seminar style lectures covering your course are given per week by highly experienced and qualified tutors, lecturers, doctors, and professors from the University of Oxford (UK) and/or the University of Cambridge (UK). Oriel College (University of Oxford, UK) will award for each delegate who successfully graduates from the programme with a Certificate of Attendance and Achievement. We require all students to attend at least 1 exam to receive an Academic Transcript issued by Oriel College (University of Oxford, UK). There are weekly exams scheduled for every course.|
|Accommodation||Single dormitory room with shared bathroom facilities, includes daily breakfast. The full board option is available to all students for an additional fee of 420 GBP.|
|Fees||Please see our fees & tuition.|
|Prerequisites||This is an open enrolment course, we recommend applicants to have prior knowledge or strong interest in the subject/course they are enrolling in.|
|Additional Information||In addition to lectures given, this course also includes various extra-curricular activities such as social events & leisure activities, visits to businesses and institutions in London, and excursions to famous places and historical landmarks. Learn more about Programme Information.|
- Course Timetable
- Course Description
* Delegates are welcome to participate in multiple sessions. Each week, students will participate in a course of their choice in their preferred track.
* Each track offers courses in one academic discipline.
* It is possible for delegates to choose a course that is not in their track.
* As the beginning of the programme nears, enrolled delegates will be asked to select their courses.
* Delegates will be assigned to courses, subject to availability. While we are able to allocate most students to their preferred courses, on some occasions students will be allocated their second choice.
* Delegates are welcome to extend their stay by participanting in multiple sessions either in Oxford or our sister-programme Cambridge Summer Institute at Magdalene College, Cambridge.
Below is a draft schedule for Summer Institute at Oriel College (click to enlarge)
*Disclaimer* Changes to the course description, topics, programme structure, and schedules may occur due to the availability of faculty members at the actual time of the programme.
There are visits to various institutions and labs in Oxford, Cambridge or London give delegate the opportunity to see how the theory they learn in class is applied in science and technology.
Structure and Evolution of the Universe: The aim of this course is to present the most relevant theoretical and observational results on which modern cosmology are based. The course covers the basic mathematical framework of the standard cosmological model, its observational motivations and its most important shortcomings. At the end of the course students should be able to understand the main open questions in cosmology, as well as the current and future observational and computational tools used to tackle them.
2. Theoretical Physics
Symmetries and Field Theories: This short course will focus on one of the primary guides to our understanding of modern day physics: symmetries. In particular, how symmetries can be used to construct gauge theories, the Higgs mechanism and gravity as a gauge theory. Topics covered include Symmetries and field theories, the Higgs mechanism and gravity as a gauge theory, Shift and Galilean symmetries in the early and late universe.
3. Image Processing and Numerical Analysis
a. Image Processing: Image processing uses mathematics to manipulate digital images like from a camera or a medical scanning device. The aim of this course is to give an introduction to diffusion PDEs as a means for image processing. Diffusion processes are used to remove noise while preserving or enhancing features such as edges, which play an important role in the human perception of an image. In particular we will discuss edge-stopping, edge-enhancing, and coherence-enhancing diffusion models. Beyond that we will give an overview over other image processing tasks such as image inpainting and image deblurring which can be modelled with PDEs. The course will be a combination of lectures and practical computing work.
b. Numerical Analysis: Differential equations are one of the most fundamental tools in almost all areas of science. The aim of this course is to give an introduction to the numerical solution of differential equations. Starting with the representation and approximation of functions (continuous objects) by vectors (discrete data), delegates discuss how the basic calculus tasks (differentiation, integration) are done on a computer and move on to solving differential equations. The course will be a combination of lectures and practical computing work.
5. Artificial Intelligence
a. Artificial Intelligence – An Introduction: This course is an introduction into the field of artificial intelligence with particular focus on search as the fundamental technique in solving AI problems. Topics covered include optimization problems, constraint satisfaction problems, developing programmes for board games and dealing with unknown environments in intelligent behaviour. As the course is self-contained and assumes no prior knowledge, delegates will acquire a firm grasp of various search techniques and to apply it in practice. Since search is a fundamental technique in computer science, this course is relevant in contexts other than artificial intelligence.
b. Artificial Intelligence – Knowledge Representation and Ontologies: Knowledge Representation is at the heart of the great challenge of Artificial Intelligence: to understand the nature of intelligence and cognition so that computers can exhibit human-like abilities. The course is self-contained and assumes no prior knowledge of Logic or Computer Science. It begins with general background on Classical Logic, Theorem Proving, and Computational Complexity. Then, it turns to specialised logic-based languages that are commonly exploited in applications. We will put special emphasis on the so-called Ontology Languages, their underpinning formalisations, and their implementation in modern applications.
6. Quantum Computing
In this course participants will survey quantum groups and their relations to the above-mentioned areas of mathematics and mathematical physics. We will look at the Yang-Baxter equation and its relation to knot theory, the definition of quantum groups and the universal R-matrix, the perspective of non-commutative geometry on quantum groups and basic concepts from TQFT and its application to quantum computing. The aim of this course is to give an overview of active areas of research. The required prerequisites are linear algebra. Some knowledge of basic representation theory and ring theory will be useful.
7. Making Electricity: Shining a light on Photovoltaics
As the world attempts to move toward renewable sources of energy to tackle global warming, using sunlight to generate electricity is very much a priority. This course introduces solar energy as an alternative to conventional energy sources. Delegates will explore the characteristics of sunlight as well as the properties and behaviour of silicon solar cells.
8. The Road to a Sustainable Future: The growing popularity of electric vehicles.
The market for electric vehicles is ever growing with supply and demand both on the rise. This course will explore the engineering behind the production and use of electric and hybrid electric vehicles including the development of fuel cells and the drivability of such vehicles.
9. Sedimentary Petrology: The benefits and threats of fracking
Fracking is a controversial new method of extracting natural gas from deep within the ground. This course will explore the geological science behind the fracking process as well as address the short-term benefits and long-term threats.
10. Climate Science: Understanding the impact of climate change
This course will explore the dynamic processes of the Earth’s climate system and its variations in the past, present, and future. Students will examine the carbon cycle and look at the short and long-term effects of the rise in atmospheric carbon dioxide. The course will also touch on the role of media in communicating climate change and some of the challenges faced.
11. Critical Thinking
Students will learn how to identify and critique implicit claims in academic and journalistic writing, what characterises weak arguments and how to formulate strong ones, as well as how to interrogate visual arguments in video or photographic media. Critical thinking is the ability to think clearly and rationally about what to do or what to believe. Common topics include: understanding the logical connections between ideas, solving problems systematically, evaluating arguments, identifying mistakes in and the relevance of reasoning. Critical thinking should not be confused with being argumentative or critical of other people. Critical thinking allows us to acquire knowledge, improve our theories, and strengthen arguments. This has great importance in the context of enhancing work processes and improving social institutions.
12. Intercultural Communication
This course will look at key academic and practical topics involved in intercultural communication. Drawing on the fields of literary studies, linguistics, anthropology, ethnography, and cultural studies, delegates will analyse topics including, ‘Communicating between cultures’, ‘Translation’, ‘Verbal and Non-verbal Communication’, and ‘Cultures and Concepts’.
13. Research Methodology and Academic Writing
Students will acquire practical skills, including how to interpret essay questions, how to structure and reference an academic essay, as well as how to write with clarity, brevity and maximum impact. Significantly, delegates will acquire academic guidance on how to productively conduct research for an academic or professional essay/thesis/dissertation/report.
14. Business and Legal Communication
This course is designed to develop an individual’s confidence and ability to use English within a professional environment. Covering topics such as negotiation, business presentations, client communication, and self-communication, this course is an excellent preparation for future experience in the business or legal sectors of an English-speaking environment both with clients and about focus on the reading, writing, and listening skills of the English language in a business context. By being able to understand and use the business language, participants will be able to further their career in both their work quality and building relationships among colleagues and clients. This course will provide delegates the ability to communicate on an international level using precise and correct legal language. Upon completion of the course, participants will improve their confidence in explaining points of law, enhance their drafting and editing skills, and ultimately represent their organisation in a more effective manner.
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