Program Overview

Program Overview

The Chemometrics and Process Monitoring program is a course offered by Aalborg University.

Content, Progress, and Pedagogy of the Module

Learning Objectives

Knowledge

Students who complete the module must be able to:

• Account for general methods for multivariate data analysis (principal component analysis, multiple linear regression, principal component regression, projection on latent structures, soft independent modelling of class analogy)
• Account for methods for data preprocessing (centering, scaling, nonlinear and spectroscopic reprocessing, orthogonal signal correction)
• Explain basic methods for variable selection (Selectivity ratio, VIP, interval PLS, jack-knife)
• Explain the theoretical background of these methods, their advantages and limitations as well as possible applications
• Explain how multivariate methods complement traditional statistical methods

Skills

• Explore multivariate data, find groups and trends, detect and remove outliers
• Calibrate and do proper validation of multivariate regression models, use these models for prediction
• Evaluate if data need a preprocessing and which method to apply
• Calibrate and evaluate models for data classification
• Compare different regression and classification models and identify the best
• Use multivariate methods for analysis of real data from different applications

Type of Instruction

• Lectures
• Workshops
• Exercises
• Mini-projects

Extent and Expected Workload

150 hours

Exam

Exams

Name of exam | Chemometrics and Process Monitoring ---|--- Type of exam | Written or oral exam ECTS | 5 Assessment | 7-point grading scale Type of grading | Internal examination Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures

Facts about the Module

• Danish title: Kemometri og procesovervĺgning
• Module code: K-KT-K2-36
• Module type: Course
• Duration: 1 semester
• Semester: Spring
• ECTS: 5
• Language of instruction: English
• Empty-place Scheme: Yes
• Location of the lecture: Campus Esbjerg
• Responsible for the module: Sergey Kucheryavskiy
• Used in:
  • Master of Science (MSc) in Engineering (Bioengineering), 2020
  • Master of Science (MSC) in Engineering (Chemical Engineering), 2020
  • Master of Science (MSc) in Engineering (Chemical Engineering), 2021
  • Curriculum for the Master's Programme in Chemical Engineering, 2022
  • Curriculum for the Master's Programme in Bioengineering, 2022

Organisation

• Study Board: Study Board of Biotechnology, Chemistry and Environmental Engineering
• Department: Department of Chemistry and Bioscience
• Faculty: The Faculty of Engineering and Science