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Computer Science & Data Science Taster Lecture

Lecturer: Dr Ibukun Afolabi, Assistant Professor in Computer Science

Date: Thursday 16th February 2023

Time: 16:30 – 17:30 (GMT)

Who is this lecture open to?: Year 12 and 13 students, parents, teachers and advisers

Where: Virtual Webinar (please complete the form below to receive the joining link)

Everywhere and Solving Serious Problems: Network Analysis

Attending a university taster lecture is an exciting opportunity to proactively explore and deepen your subject interest, above and beyond your school curriculum, and can enhance your future university application. Through providing a real ‘taste’ of university-level study, it can also help you to confirm your subject choice.

Network analysis is playing a major role in the direction the future is taking currently. From effective utilisation of limited resources, increased revenue generation, better social interaction, to medical analysis, the recommendations from network analysis affect our daily life without us even noticing it. Network analysis techniques derive from network theory, which evolved from computer science, giving it its well-earned place in computer science research.

In this taster lecture we examine how most of our daily interactions ranging from verbal communications to transport links can be modelled as a network, analysed, and the results used to improve almost all aspects of life.

This taster will also include an introductory overview of studying at Northeastern University London, and there will be ample time for Q&A with Faculty and Student Ambassadors.

Here’s what previous participants have said about our Data Science Taster Lectures:

“I really enjoyed that Dimitris used a step-by-step approach to demonstrate how one can go about using Python as a tool for data analysis. It gave me an idea of ways in which it can be used and why it’s such a powerful and useful tool.”

“Having never coded before, it was very useful to gain insight into what coding can be like.”

“Dimitris Mylonas delivered an interesting and insightful introduction to data science, whilst also beginning to question how it ties into philosophy, and the ethical capability it has. Excellent!”

“I enjoyed the presentation and the introduction to Northeastern University London at the beginning of the session. The continuous Q&A feature was also interesting, especially as current students were answering the questions.”

“I really liked the interactive nature of the lecture!”

“The taster was really informative in terms of explaining what we can envision our skillset to evolve into. I only wish it could have lasted longer!”