Training - Courses

MLBE-S: MATLAB Fundamentals for Life Scientists

MATLAB Fundamentals for Life Scientists is designed for researchers in the life sciences who are time constrained but would like to gain some hands-on experience with MATLAB. The attendees will learn how to bring their data into MATLAB, work with and visualize this information as well as how to generate reports to summarize their analysis. The course will be work-flow based with exercises and examples utilizing data sets from mass spectrometry, dose response data sets.

Note: A 1 hour test session will be scheduled one day prior to the first day of class. This session is to verify that the visual and audio connection is working properly on your computer. The required product software should be installed for the test session. It is highly recommended that you attend this session to ensure a successful and timely class start.

VIEW SCHEDULE and Register SHARE with Manager/Colleague

	Detailed course outline

Day 1
Introduction	Company Introduction, MATLAB product family & Life Scientist Workflow Course Overview Exercises and Examples CD
Bringing Data Into MATLAB	Basic layout of the MATLAB interface and documentation Loading data interactively using the Import Wizard Using the automatic code generation feature of the Import Wizard Using the function xlsread to read in subsets of data from Excel files
Plotting & Visualization	Steps to making a plot using the Plot Tools (an interface for plotting and visualization) Use MATLAB’s Plot Tools to enhance and customize plots Use the auto-generated MATLAB code to reproduce the plot An introduction to the Plot Catalog (a complete listing of all MATLAB plots)
Curve Fitting	Interactive curve fitting using the Curve Fitting Tool Fitting different models to data using built-in and custom equations Be able to interpret the results from the curve fit Save and reuse analysis from a curve fitting session
Working with Data	Extract portions of a data set and compute descriptive statistics Perform arithmetic on tables of data Identify missing values in data Threshold and normalize data sets
Automating Data Analysis	Use the features of the MATLAB Editor Write multiple lines of MATLAB code organized as a script to automate this workflow Publish results generated by MATLAB code Write multiple lines of MATLAB code that can be organized as a function (Advanced)

Prerequisites

No prior knowledge of MATLAB or programming experience is required.

Course Length -