MrAndrew Connell
Casual - Non Academic Professionals
Department of Mathematics - Faculty of Natural Sciences
- Casual - Non Academic ProfessionalsDepartment of Mathematics - Faculty of Natural Sciences
- 526, Huxley Building, South Kensington Campus, United Kingdom
TEACHING INTERESTS
During his time as a Graduate Teaching Assistant (GTA) at Imperial College London, Andrew has gained extensive experience across multiple departments, including the Business School, the Chemistry Department, and, primarily, the Mathematics Department. He contributes to a variety of courses, including the Introduction to University Mathematics course for first-year students, as well as numerous modules throughout the undergraduate and master's programs in the Mathematics Department.
Andrew has also taken on leadership roles as a Senior Graduate Teaching Assistant for several courses, where he is responsible for designing course materials, particularly for masters topics in Statistics. Notably, he developed materials for the Game Theory course and the Statistical Learning course. Additionally, he made significant contributions to the MSc programs, specifically the MSc Statistics and MSc Machine Learning and Data Science, including designing the Data Science Challenge in both 2022 and 2023 and creating content for the Ethics in Data Science course.
Beyond his work at Imperial, Andrew also undertakes work as an external educator. He works as a private tutor and assists with courses at other universities, including Differential Equations for Washington University in St. Louis. Furthermore, he has been involved in summer school programs, such as the Spatial Statistics Summer School at Imperial.
Andrew has also taken on leadership roles as a Senior Graduate Teaching Assistant for several courses, where he is responsible for designing course materials, particularly for masters topics in Statistics. Notably, he developed materials for the Game Theory course and the Statistical Learning course. Additionally, he made significant contributions to the MSc programs, specifically the MSc Statistics and MSc Machine Learning and Data Science, including designing the Data Science Challenge in both 2022 and 2023 and creating content for the Ethics in Data Science course.
Beyond his work at Imperial, Andrew also undertakes work as an external educator. He works as a private tutor and assists with courses at other universities, including Differential Equations for Washington University in St. Louis. Furthermore, he has been involved in summer school programs, such as the Spatial Statistics Summer School at Imperial.