This module offers a modern survey of major statistical methods, along with their applications to real world problems ranging from finance, insurance and...

Statistics and Analytics for Business (MSIN0177)

This module offers a modern survey of major statistical methods, along with their applications to real world problems ranging from finance, insurance and marketing to the movie industry and sports. The statistical concepts and methods include data visualization, descriptive statistics, probability theory, normal and T distribution, sampling distribution, confidence interval, hypothesis testing, and regression analysis.

The module introduces tools and techniques appropriate to starting a new venture based on the individual founder and founding team’s knowledge, skills,...

Customer Development and Lean Startup (MSIN0086)

The module introduces tools and techniques appropriate to starting a new venture based on the individual founder and founding team’s knowledge, skills, network and personal vision. This includes tools to:


	identify a suitable arena for developing a venture and how to enter and work within that arena
	
	
	undertake “customer development” to identify unmet customer needs and formulate hypotheses about how to meet those needs in a feasible way
	
	
	use Lean Startup techniques to achieve validation for a start-up idea, especially around problem-solution fit
	
	
	develop a targeted value proposition and business model
	
	
	attract and develop a founding team
	
	
	create a compelling pitch deck for potential investors

Computer-assisted surgery (CAS) is a growing field in which computer software and hardware technologies are deployed to increase the safety, accuracy, and...

Computer-Assisted Surgery and Therapy (MPHY0026)

Computer-assisted surgery (CAS) is a growing field in which computer software and hardware technologies are deployed to increase the safety, accuracy, and effectiveness of surgical and other interventional procedures. This module aims to introduce key concepts in CAS from a theoretical and practical perspective. Students completing the module are expected to demonstrate an understanding of the mathematical/computational basis, practical application, and clinical context of topics including image segmentation, image registration, visualisation of anatomical structures, instrument tracking, system calibration and usability.

A video description can be found at the UCL Media Central.