Enrolment options

CHEM-E7122 - Statistical Data Treatment D, Lecture, 3.9.2024-25.9.2024

Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After the course, the participant will understand:

                * Basic principles of design of experiments;

                * Basic experimental design strategies (factorial, composite, response-surface, mixture design) and associated solution techniques for practical calculations.

                * Basic principles of calibration;

                * Basic calibration methods (linear regression, principal component analysis, partial least-squares) and associated solution techniques for practical calculations.

Credits: 2

Schedule: 03.09.2024 - 25.09.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Francesco Corona, Jukka Kortela

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    We study the introductory principles and the basic calculation techniques of experimental design and multivariate calibration. The course aims at providing a pragmatic understanding of the techniques and a practical workflow for using experimental data.

  • applies in this implementation

    Lectures

    • Course intro
    1. Practical arrangements
    2. Topic overview
    • Design of experiments - Part A 
    1. Basic principles (degrees of freedom, analysis of variance, design matrices, significance/leverage/confidence)
    2. Factorial designs (full, fractal, Plackett-Burman, Taguchi)
    • Design of experiments - Part B
    1. Central composite/response surface designs
    2. Mixture designs
    • Calibration - Part A
    1. Univariate calibration (classical and inverse calibration) 
    2. Multivariate regression (multiple linear regression)
    • Calibration - Part B
    1. Principal component regression (principal component analysis and regression)

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Assignment

Workload

  • valid for whole curriculum period:

    • Lectures and exercises 20h
    • Independent study, homework, and assignments: 34h

  • applies in this implementation

    Lectures (4x2h) and exercises (6xh)

    • 20h

    Independent study, homework, and assignments

    • 34h


DETAILS

Study Material

  • valid for whole curriculum period:

    Lecture and exercise notes

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    7 Affordable and Clean Energy

    9 Industry, Innovation and Infrastructure

    12 Responsible Production and Consumption

    13 Climate Action

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Autumn I
    2025-2026 Autumn I

    Registration:

    The course is available only for students in Chemical and Metallurgical Engineering master's programme.

Details on the schedule

  • applies in this implementation

    Lectures

    1. Course intro - Practical arrangements and topic overview
    • When: Sept 3, 10:15-12:00
    • Where: TBA
    1. Design of experiments - Part A 
    • When: Sept 4, 16:15-18:00
    • Where: TBA
    1. Design of experiments - Part B
    • When: Sept 5, 14:15-16:00
    • Where: TBA
    1. Calibration - Part A
    • When: Sept 10, 14:15-1600
    • Where: TBA
    1. Calibration - Part B
    • When: Sept 11, 16:15-18:00
    • Where: TBA

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof

Guests cannot access this workspace. Please log in.