Introduction to advanced tomography

  • 4.6
Approx. 30 hours to complete

Course Summary

Cinemaxe is a course on the art of cinema, with a focus on exploring the relationship between film and society. The course covers topics such as film history, theory, production, and criticism, and encourages students to think critically and creatively about the medium.

Key Learning Points

  • Learn about the history, theory, and criticism of cinema
  • Explore the relationship between film and society
  • Develop critical and creative thinking skills

Job Positions & Salaries of people who have taken this course might have

  • Film Critic
    • USA: $50,000 - $70,000
    • India: INR 3,00,000 - INR 5,00,000
    • Spain: €25,000 - €35,000
  • Film Producer
    • USA: $60,000 - $100,000
    • India: INR 4,00,000 - INR 8,00,000
    • Spain: €30,000 - €50,000
  • Film Historian
    • USA: $40,000 - $60,000
    • India: INR 2,50,000 - INR 4,00,000
    • Spain: €20,000 - €30,000

Related Topics for further study


Learning Outcomes

  • Develop a deep understanding of the art of cinema
  • Gain critical and creative thinking skills
  • Be prepared for careers in film criticism, production, and history

Prerequisites or good to have knowledge before taking this course

  • Interest in cinema
  • Basic knowledge of film production and criticism

Course Difficulty Level

Intermediate

Course Format

  • Self-paced
  • Online

Similar Courses

  • Film History and Criticism
  • Introduction to Film Production
  • The Art of Storytelling

Related Education Paths


Related Books

Description

In this course you get the chance to get teaching and hands-on experience with the complete workflow of high-resolution tomography analysis. You will get introduced to data acquisition, 3D reconstruction, segmentation and meshing and, finally, 3D modelling of data to extract physical parameters describing mechanical and flow properties. The teaching and the exercises will take place in close interaction with top experts in the field. Exercises will require some basic programming skills, and will be carried out in a common python environment.

Outline

  • Introduction to Advanced Tomography
  • Introduction video
  • Welcome to Introduction to Advanced Tomography
  • What is tomography and what can it do for me?
  • What is tomography
  • X-ray imaging
  • Resolution and length scales
  • Discovering materials microstructure and function (Rajmund Mokso)
  • Applications of ... (Rajmund Mokso)
  • Applications of tomography
  • Use of tomography
  • X-ray based tomography
  • Resolution
  • Resolution, reflect upon what it is
  • Introduction to Jupyter notebooks for data handling
  • Handling data
  • Introduction to Jupyter notes (Nicolai Riis)
  • Using Jupyter notes beyond this course (Nicolai Riis)
  • Python primer
  • Where is the data coming from?
  • Facilities
  • Tomography experiments
  • Maxlab 4 (Henning Friis)
  • DTU Imaging Center (Henning Friis)
  • Manchester Imaging Facility (Jakob Sauer Jørgensen)
  • Synchrotron facilities
  • Large scale facilities and lab experiements
  • Synchrotron versus lab-systems
  • Description of the cases studied throughout the course
  • Workflow
  • Composite materials for wind turbines
  • Chalk
  • Fiber case (Lars Pilgaard Mikkelsen)
  • Chalk (Henning Osholm)
  • Supplementary reading on the composite case
  • Fibers for wind turbines
  • Chalk
  • Workflow
  • Summary questions on the fiber case
  • Tomographic reconstruction
  • Introduction to tomography
  • Understanding the origin of the sinogram
  • Back-projection and filtered back-projection
  • Fourier reconstruction
  • Filtered back projection, part 2
  • Iterative reconstruction
  • X-ray tomography (Manuel Guizar-Sicairos)
  • Tomographic reconstruction (Jakob Sauer Jørgensen)
  • Tomography basics (Jakob Sauer Jørgensen)
  • Radon transform (Jakob Sauer Jørgensen)
  • Filtered back projection (Jakob Sauer Jørgensen)
  • Summary of filtered back projection reconstruction (Jakob Sauer Jørgensen)
  • Data corrections (Jakob Sauer Jørgensen)
  • Software and summary (Jakob Sauer Jørgensen)
  • Iterative reconstruction (Jakob Sauer Jørgensen)
  • Regularization (Jakob Sauer Jørgensen)
  • Getting started with tomography
  • Tomographic reconstruction
  • Filtered back-projection
  • Fourier reconstruction
  • Filtered back-projection, part 2
  • Iterative reconstruction
  • Reconstruction
  • Lambert-Beer and the Radon transform
  • Filtered back-projection and data corrections
  • Misc. reconstruction
  • Iterative and regularized reconstruction
  • Imaging contrast
  • Imaging contrast
  • Amplitude and phase contrast
  • Contrast mechanism
  • Amplitude and Phase contrast
  • Segmentation
  • Introduction to segmentation
  • Image and volume segmentation (Vedrana Andersen Dahl)
  • Segmentation strategies (Vedrana Andersen Dahl)
  • Segmentation exercise - Fibers (Vedrana Andersen Dahl)
  • Segmentation exercise - Chalk (Vedrana Andersen Dahl)
  • Thresholding - Example 1
  • Thresholding - Example 2
  • Thresholding - Example 3
  • Image and volume segmentation
  • Segmentation strategies
  • Segmentation exercise - Fibers
  • Segmentation exercise - Chalk
  • Computer resources
  • Computer resources
  • Efficient code
  • Modelling physical parameters
  • Simple modelling
  • Introduction to finite element modelling
  • Simple example of finite element modelling
  • Summary of the cases
  • Axial stiffness prediction of a fiber case (Lars Pilgaard Mikkelsen)
  • Getting started with CALFEM for python (case 0)
  • Tensile test of a rectangular material box (Case 1)
  • One fiber in a matrix box (case 2)
  • Multiple fibers in a matrix box (Case 3)
  • Bundle structure in a matrix box (case 4)
  • Finite element of a uni-axial tensile test
  • Finite element modelling
  • Estimate of the transverse stiffness if a composite material
  • Stiffness of the material box in the case of plane strain
  • Stiffness of the one fiber in a matrix box in the case of refined mesh
  • Stiffness of the fiber composite material
  • Closing session
  • Lars Pilgaard Mikkelsen
  • Jakob Sauer Jørgensen
  • Vedrana Andersen Dahl
  • Jens Wenzel Andreasen
  • Installation instructions
  • Want to learn more?

Summary of User Reviews

Key Aspect Users Liked About This Course

Excellent presentation of film history and analysis

Pros from User Reviews

  • Engaging and informative lectures
  • Thorough coverage of the evolution of cinema
  • Well-structured and easy to follow course materials
  • Great insights into film making techniques
  • Access to high-quality films for analysis

Cons from User Reviews

  • Some technical issues with the platform
  • Limited interaction with instructors
  • Not suitable for those looking for practical film making skills
  • Requires a significant time commitment
  • Lacks diversity in the selection of films studied
English
Available now
Approx. 30 hours to complete
Lars Pilgaard Mikkelsen, Jens Wenzel Andreasen, Vedrana Andersen Dahl, Jakob Sauer Jørgensen, Henning Osholm Soerensen
Technical University of Denmark (DTU)
Coursera

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