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Yasmin Sarwar
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Timetable
Day 1: Introduction to Python & Statistics for Computer Scientists
- Course welcome from Programme Director
- Put yourself in the shoes of a programmer and learn the basics of Python
- Introduction to statistics for computer scientists
- Statistics workshop
Day 2: Data Visualisation & AI
- Course welcome from Programme Director
- Put yourself in the shoes of a programmer and learn the basics of Python
- Introduction to statistics for computer scientists
- Statistics workshop
Day 3: Data Science & Machine Learning
- Introduction - data Science enables enterprises to measure, track, and record performance metrics for facilitating enterprise-wide enhanced decision making
- Introduction - ¡®can computers think¡¯ is one of the most contentious debates in the world of computer science. Explore what the term ¡®machine learning¡¯ actually means in a series of immersive lectures and workshops
- Professional speaker from industry
Day 4: Quantum Computing
- Linear algebra for computer scientists
- Introduction to quantum computing
- Seminar delivered by quantum computing expert
Day 5: Programming
- Extend your practical knowledge of programming with Python.
- Work alongside specialists in developing your own Python project
Day 6: Careers in Computer Science
- Gain an understanding of the routes into becoming a computer scientist
- Opportunities as a prospective computer scientist
- Q&A with industry professional
Day 7: University Applications
- Components of a strong university application
- Building a strong 'supercurricular' profile for your application
- Introductions to key admissions tests (TMUA, MAT)
- Interview preparation simulations