Multivariate analysis of spectroscopic data using Unscrambler

Course Id:  MVA901   |   Duration:  2.00 day(s)   |   CEUs Awarded:  1.4   |   Level:  Introductory

Course Objective

Learn how to extract the most information from your spectral data with the Unscrambler application

    Course Overview

    During this training session you will learn about:

    • Spectral preprocessing methods
    • Latent variable Modeling methods (PCA, PLS) for spectroscopy
    • Model interpretation

    Approach

    The virtual training will contain both theory and practical use of the methods with the following sessions:

    • Day 1: 2.5-hour lecture with the instructor to cover the theory
    • Hands-on training on your own, with online support from the trainer (We recommend setting aside 3-6 hours of your day to complete this task)
    • Day 2: 1-hour session with the instructor to discuss exercises and questions

    Hardware Requirements:
    • Windows computer with microphone and audio, and internet connection.

    Prerequisites

    Prior experience with multivariate analysis or the Unscrambler software is not required.

    Class Schedule

    Class Agenda

    MVA901: Multivariate analysis of spectroscopic data using Unscrambler

    Class timings

    • Day 1: Live instructor led session starts @ 3:00 PM CET / 9:00 AM EST
    • Day 2: Live instructor led session starts @ 3:00 PM CET / 9:00 AM EST
    • Hands-on exercises are done by yourself between the two sessions. We recommend setting aside 3-6 hours of your day to complete this task.
    Agenda Topics
    • Introduction to Multivariate Analysis and Spectroscopy
    • Principal component analysis (PCA)
    • Spectral Preprocessing
    • Multivariate Calibration: Partial least squares regression and Validation

    Aspen Technology, Inc. awards Continuing Education Units (CEUs) for training classes conducted by our organization. One CEU is granted for every 10 hours of class participation.