The Response Surface Methodology for Optimal Experimental Designs short course -a five-day intensive training-by CRAFS-University of Malawi, supported by the World Bank ACE II AF project, in collaboration with TACE-LUANAR and ACENUB-MZUNI. It covers Response Surface Methodology (RSM) for optimizing experimental designs using Design Expert and TBCO StatisticaR software .

Designed for PhD & MSc students in experimental research fields like Chemistry, Agri-Food Nutrition, and Biological Sciences,etc. at public institutions of higher learning e.g., UNIMA, LUANAR, MUST, KUHeS, MZUNI, UNILIA, CUNIMA, or MUBAS to apply.The in-person training will host 30 participants at the University of Malawi, Zomba, from March 31 – April 4, 2025.

We request that your institution covers the cost of your travel and accommodation. The UNIMA-CRAFS is ONLY covering the cost of the venue, refreshments and lunches.

Course Objectives

• Foundation in RSM – Understand key concepts and applications in experimental optimization.

• Enhanced Design Skills – Learn to create and analyze optimal experiments using advanced statistical tools.

• Hands-on Software Training – Gain practical experience with Design Expert and TBCO StatisticaR.

• Research Efficiency – Reduce trial-and-error, achieving precise and reliable results.

• Collaboration – Connect and exchange knowledge with fellow postgraduate researchers.