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<\/a>Course Description<\/h3>\nThe course covers the basics of image science. This includes the theoretical and mathematical foundations of image science, as well as their application to the analysis of modern (computational) imaging systems. Concrete examples from medical imaging, industrial inspection, remote sensing, virtual reality, or microscopy will be introduced and discussed.<\/p>\n
Course Goals:<\/strong> By taking the course, students are expected to gather a broad \u201ctoolbox\u201d of basic optical, mathematical, and computational principles used in imaging science. The goal is that students can apply these tools to concrete future tasks they might face in industry or their future research.<\/p>\nStudents will be able to identify the measured object properties and how the respective imaging system collects and processes the captured data to extract the desired information. Moreover, students will learn about the analysis of imaging systems and the concept of task-based assessment of image quality.<\/p>\n
Prerequisites:<\/strong> This course is intended for graduate students in optical sciences or engineering with an appropriate mathematical background at the level of advanced calculus.<\/p>\nProgram:<\/strong> The four key parts of the course include (tentative outline):<\/p>\nPart I: Mathematical formalism of image science<\/p>\n
\n- Image formation<\/li>\n
- Objects as vectors in a vector space, image formation as a continuous to continuous or continuous to discrete mapping from an object vector space to an image vector space<\/li>\n
- Eigenfunctions, linear systems, Fourier transforms<\/li>\n<\/ul>\n
Part II: The role of optics and computation in modern imaging science<\/p>\n
\n- Indirect imaging, inverse problems, iterative algorithms<\/li>\n
- Radiometry<\/li>\n
- Geometrical optics description of imaging<\/li>\n
- Coherent and incoherent imaging, diffraction<\/li>\n
- Physical optics description and fundamental limits<\/li>\n
- Digital imaging, sampling, image detectors, displays<\/li>\n
- Image processing<\/li>\n<\/ul>\n
Part III: Modern (computational) imaging systems<\/p>\n
\n- X-ray imaging, computed tomography<\/li>\n
- Microscopy<\/li>\n
- Time-of-Flight cameras, Non-Line-of-Sight imaging<\/li>\n
- (Multi-wavelength) Interferometry, optical coherence tomography<\/li>\n
- Remote sensing<\/li>\n
- Coded apertures<\/li>\n
- Triangulation (structured light)<\/li>\n
- Deflectometry and Photometric Stereo<\/li>\n
- Neuromorphic Imaging \/ Event Cameras<\/li>\n<\/ul>\n
Part IV: Observers and task-based image quality assessment<\/p>\n
\n- Noise in imaging systems<\/li>\n
- Classification and estimation tasks, ideal observer<\/li>\n
- Image quality, task-performance evaluation<\/li>\n<\/ul>\n
<\/a>Course Logistics<\/h3>\nClass:<\/strong> M, W 2:00 \u2013 3:15 in Meinel Building West Wing 307
Material made available:<\/strong> http:\/\/d2l.arizona.edu
Instructors:<\/strong> Florian Willomitzer (after spring break), Lars Furenlid (before spring break)
TA:<\/strong> Micaehla May<\/p>\nContact Information Prof. Willomitzer (after spring break):<\/strong>
Room:<\/strong> Meinel 629
Email:<\/strong> fwillomitzer@arizona.edu
Office hours:<\/strong> In person or via zoom. Send email to reserve a 15min slot.<\/p>\nContact Information Prof. Furenlid (before spring break):<\/strong>
Room:<\/strong> Meinel 433
Email:<\/strong> furen@radiology.arizona.edu
Office hours:<\/strong> tba<\/p>\nContact Information Micaehla May:<\/strong>
Email:<\/strong> mmay@optics.arizona.edu
Office hours:<\/strong> tba<\/p>\nGrading<\/h5>\n
Grading will based on homework assignments (6 in total), a midterm exam, and a final exam. Each of these three components will be weighted equally (Homework = 1\/3, Midterm Exam = 1\/3, Final = 1\/3). Opportunities for bonus points may occur at select times during the semester.<\/p>\n
Policy:<\/strong> Late homework will not be accepted without prior instructor approval. Students may study and work together, but homework must be completed and turned in independently. Direct plagiarism on homework assignments is not acceptable. The University\u2019s Student Code of Academic Integrity applies to this class and should be reviewed by each student. Cases of suspected academic dishonesty including plagiarism, cheating on tests or altering graded homework will be referred to the appropriate College Dean. The academic penalty for academic dishonesty is an “F” grade. Homework will only be re-graded when there is evidence of a grading error. The instructors reserve the right to re-grade an entire homework or test.<\/p>\n <\/p>\n
<\/a>Lecture and Homework Schedule<\/h3>\nScheduled lecture topics are tentative and might change while the course is ongoing. Possible changes in homework out\/due dates will be announced at least several days in advance.<\/span><\/p>\n\n\n\n\nDay<\/strong><\/p>\n<\/td>\n\nLec #<\/strong><\/p>\n<\/td>\n\nTopic<\/strong><\/p>\n<\/td>\n\nHomework<\/strong><\/p>\n<\/td>\n<\/tr>\n\n\n1\/10\/2023<\/p>\n<\/td>\n
\n1<\/p>\n<\/td>\n
\nIntroduction (course description and overview)<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n1\/15\/2023<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n
\nMLK DAY \u2013 No class<\/strong><\/p>\n<\/td>\n\n <\/p>\n<\/td>\n<\/tr>\n
\n\n1\/17\/2023<\/p>\n<\/td>\n
\n2<\/p>\n<\/td>\n
\nImage formation, CC and CD mappings, object basis functions<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n1\/22\/2023<\/p>\n<\/td>\n
\n3<\/p>\n<\/td>\n
\nVector spaces, eigenfunctions, linear systems, Fourier transforms<\/p>\n<\/td>\n
\nHW 1 out<\/p>\n<\/td>\n<\/tr>\n
\n\n1\/24\/2023<\/p>\n<\/td>\n
\n4<\/p>\n<\/td>\n
\nForward and inverse problems<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n1\/29\/2023<\/p>\n<\/td>\n
\n5<\/p>\n<\/td>\n
\nPseudoinverses, regularization<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n1\/31\/2023<\/p>\n<\/td>\n
\n6<\/p>\n<\/td>\n
\nWaves, free-space propagation, transfer function<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n2\/5\/2023<\/p>\n<\/td>\n
\n7<\/p>\n<\/td>\n
\nDiffraction and wave propagation<\/p>\n<\/td>\n
\nHW 1 due \/ HW 2 out<\/p>\n<\/td>\n<\/tr>\n
\n\n2\/7\/2023<\/p>\n<\/td>\n
\n8<\/p>\n<\/td>\n
\nCoherent imaging<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n2\/12\/2023<\/p>\n<\/td>\n
\n9<\/p>\n<\/td>\n
\nIncoherent Imaging, Geometrical optics imaging<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n2\/14\/2023<\/p>\n<\/td>\n
\n10<\/p>\n<\/td>\n
\nForward Radon transform<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n2\/19\/2023<\/p>\n<\/td>\n
\n11<\/p>\n<\/td>\n
\nInverse Radon transform<\/p>\n<\/td>\n
\nHW 2 due \/ HW 3 out<\/p>\n<\/td>\n<\/tr>\n
\n\n2\/21\/2023<\/p>\n<\/td>\n
\n12<\/p>\n<\/td>\n
\nX-ray imaging and x-ray computed tomography<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n2\/26\/2023<\/p>\n<\/td>\n
\n13<\/p>\n<\/td>\n
\nSPECT and PET<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n2\/28\/2023<\/p>\n<\/td>\n
\n14<\/p>\n<\/td>\n
\nIterative reconstructions<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n3\/4\/2023<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n
\nSPRING RECESS – no class<\/strong><\/p>\n<\/td>\n\nHW 3 due<\/p>\n<\/td>\n<\/tr>\n
\n\n3\/6\/2023<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n
\nSPRING RECESS – no class<\/strong><\/p>\n<\/td>\n\n <\/p>\n<\/td>\n<\/tr>\n
\n\n3\/11\/2023<\/p>\n<\/td>\n
\n15<\/p>\n<\/td>\n
\nImage Processing I – Spatial domain<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n3\/13\/2023<\/p>\n<\/td>\n
\n16<\/p>\n<\/td>\n
\nImage Processing II – Fourier domain<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n3\/18\/2023<\/p>\n<\/td>\n
<\/td>\n \nMIDTERM EXAM (2pm-3:15pm @ Meinel 307)<\/strong><\/p>\n<\/td>\n\nHW 4 out<\/p>\n<\/td>\n<\/tr>\n
\n\n3\/20\/2023<\/p>\n<\/td>\n
\n17<\/p>\n<\/td>\n
\nRadiometry<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n3\/25\/2023<\/p>\n<\/td>\n
\n18<\/p>\n<\/td>\n
\nPhotometric Stereo<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n3\/27\/2023<\/p>\n<\/td>\n
\n19<\/p>\n<\/td>\n
\nTriangulation<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n4\/1\/2023<\/p>\n<\/td>\n
\n20<\/p>\n<\/td>\n
\nDeflectometry<\/p>\n<\/td>\n
\nHW 4 due \/ HW 5 out<\/p>\n<\/td>\n<\/tr>\n
\n\n4\/3\/2023<\/p>\n<\/td>\n
\n21<\/p>\n<\/td>\n
\nEvent Sensing<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n4\/8\/2023<\/p>\n<\/td>\n
\n22<\/p>\n<\/td>\n
\nNoise in Imaging Systems<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n4\/10\/2023<\/p>\n<\/td>\n
\n23<\/p>\n<\/td>\n
\nImage Quality<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n4\/15\/2023<\/p>\n<\/td>\n
\n24<\/p>\n<\/td>\n
\nOptical Systems I<\/p>\n<\/td>\n
\nHW 5 due \/ HW 6 out<\/p>\n<\/td>\n<\/tr>\n
\n\n4\/17\/2023<\/p>\n<\/td>\n
\n25<\/p>\n<\/td>\n
\nOptical Systems II<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n4\/22\/2023<\/p>\n<\/td>\n
\n26<\/p>\n<\/td>\n
\nInterferometry and Holography<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n4\/24\/2023<\/p>\n<\/td>\n
\n27<\/p>\n<\/td>\n
\nSpeckle and Optical Coherence Tomography<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\n4\/29\/2023<\/p>\n<\/td>\n
\n28<\/p>\n<\/td>\n
\nTime-of-Flight and Light-in-Flight<\/p>\n<\/td>\n
\nHW 6 due<\/p>\n<\/td>\n<\/tr>\n
\n\n5\/1\/2023<\/p>\n<\/td>\n
\n29<\/p>\n<\/td>\n
\nNon-Line-of-Sight imaging and Imaging through scattering media<\/p>\n<\/td>\n
\n <\/p>\n<\/td>\n<\/tr>\n
\n\nFri <\/strong> 5\/3\/2023<\/p>\n<\/td>\n\n <\/p>\n<\/td>\n
\nFINAL EXAM (1pm \u2013 3pm @ Meinel 307)<\/strong><\/p>\n<\/td>\n\n <\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Introduction to Image Science, Spring 2024 Jump to: Course Description | CourseLogistics | Lecture and Homework Schedule<\/p>\n","protected":false},"author":246,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-68","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages\/68","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/users\/246"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/comments?post=68"}],"version-history":[{"count":2,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages\/68\/revisions"}],"predecessor-version":[{"id":70,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages\/68\/revisions\/70"}],"wp:attachment":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/media?parent=68"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Students will be able to identify the measured object properties and how the respective imaging system collects and processes the captured data to extract the desired information. Moreover, students will learn about the analysis of imaging systems and the concept of task-based assessment of image quality.<\/p>\n
Prerequisites:<\/strong> This course is intended for graduate students in optical sciences or engineering with an appropriate mathematical background at the level of advanced calculus.<\/p>\n Program:<\/strong> The four key parts of the course include (tentative outline):<\/p>\n Part I: Mathematical formalism of image science<\/p>\n Part II: The role of optics and computation in modern imaging science<\/p>\n Part III: Modern (computational) imaging systems<\/p>\n Part IV: Observers and task-based image quality assessment<\/p>\n Class:<\/strong> M, W 2:00 \u2013 3:15 in Meinel Building West Wing 307 Contact Information Prof. Willomitzer (after spring break):<\/strong> Contact Information Prof. Furenlid (before spring break):<\/strong> Contact Information Micaehla May:<\/strong> Grading will based on homework assignments (6 in total), a midterm exam, and a final exam. Each of these three components will be weighted equally (Homework = 1\/3, Midterm Exam = 1\/3, Final = 1\/3). Opportunities for bonus points may occur at select times during the semester.<\/p>\n Policy:<\/strong> Late homework will not be accepted without prior instructor approval. Students may study and work together, but homework must be completed and turned in independently. Direct plagiarism on homework assignments is not acceptable. The University\u2019s Student Code of Academic Integrity applies to this class and should be reviewed by each student. Cases of suspected academic dishonesty including plagiarism, cheating on tests or altering graded homework will be referred to the appropriate College Dean. The academic penalty for academic dishonesty is an “F” grade. Homework will only be re-graded when there is evidence of a grading error. The instructors reserve the right to re-grade an entire homework or test.<\/p>\n <\/p>\n Scheduled lecture topics are tentative and might change while the course is ongoing. Possible changes in homework out\/due dates will be announced at least several days in advance.<\/span><\/p>\n Day<\/strong><\/p>\n<\/td>\n Lec #<\/strong><\/p>\n<\/td>\n Topic<\/strong><\/p>\n<\/td>\n Homework<\/strong><\/p>\n<\/td>\n<\/tr>\n 1\/10\/2023<\/p>\n<\/td>\n 1<\/p>\n<\/td>\n Introduction (course description and overview)<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 1\/15\/2023<\/p>\n<\/td>\n <\/p>\n<\/td>\n MLK DAY \u2013 No class<\/strong><\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 1\/17\/2023<\/p>\n<\/td>\n 2<\/p>\n<\/td>\n Image formation, CC and CD mappings, object basis functions<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 1\/22\/2023<\/p>\n<\/td>\n 3<\/p>\n<\/td>\n Vector spaces, eigenfunctions, linear systems, Fourier transforms<\/p>\n<\/td>\n HW 1 out<\/p>\n<\/td>\n<\/tr>\n 1\/24\/2023<\/p>\n<\/td>\n 4<\/p>\n<\/td>\n Forward and inverse problems<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 1\/29\/2023<\/p>\n<\/td>\n 5<\/p>\n<\/td>\n Pseudoinverses, regularization<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 1\/31\/2023<\/p>\n<\/td>\n 6<\/p>\n<\/td>\n Waves, free-space propagation, transfer function<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 2\/5\/2023<\/p>\n<\/td>\n 7<\/p>\n<\/td>\n Diffraction and wave propagation<\/p>\n<\/td>\n HW 1 due \/ HW 2 out<\/p>\n<\/td>\n<\/tr>\n 2\/7\/2023<\/p>\n<\/td>\n 8<\/p>\n<\/td>\n Coherent imaging<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 2\/12\/2023<\/p>\n<\/td>\n 9<\/p>\n<\/td>\n Incoherent Imaging, Geometrical optics imaging<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 2\/14\/2023<\/p>\n<\/td>\n 10<\/p>\n<\/td>\n Forward Radon transform<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 2\/19\/2023<\/p>\n<\/td>\n 11<\/p>\n<\/td>\n Inverse Radon transform<\/p>\n<\/td>\n HW 2 due \/ HW 3 out<\/p>\n<\/td>\n<\/tr>\n 2\/21\/2023<\/p>\n<\/td>\n 12<\/p>\n<\/td>\n X-ray imaging and x-ray computed tomography<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 2\/26\/2023<\/p>\n<\/td>\n 13<\/p>\n<\/td>\n SPECT and PET<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 2\/28\/2023<\/p>\n<\/td>\n 14<\/p>\n<\/td>\n Iterative reconstructions<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 3\/4\/2023<\/p>\n<\/td>\n <\/p>\n<\/td>\n SPRING RECESS – no class<\/strong><\/p>\n<\/td>\n HW 3 due<\/p>\n<\/td>\n<\/tr>\n 3\/6\/2023<\/p>\n<\/td>\n <\/p>\n<\/td>\n SPRING RECESS – no class<\/strong><\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 3\/11\/2023<\/p>\n<\/td>\n 15<\/p>\n<\/td>\n Image Processing I – Spatial domain<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 3\/13\/2023<\/p>\n<\/td>\n 16<\/p>\n<\/td>\n Image Processing II – Fourier domain<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 3\/18\/2023<\/p>\n<\/td>\n MIDTERM EXAM (2pm-3:15pm @ Meinel 307)<\/strong><\/p>\n<\/td>\n HW 4 out<\/p>\n<\/td>\n<\/tr>\n 3\/20\/2023<\/p>\n<\/td>\n 17<\/p>\n<\/td>\n Radiometry<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 3\/25\/2023<\/p>\n<\/td>\n 18<\/p>\n<\/td>\n Photometric Stereo<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 3\/27\/2023<\/p>\n<\/td>\n 19<\/p>\n<\/td>\n Triangulation<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 4\/1\/2023<\/p>\n<\/td>\n 20<\/p>\n<\/td>\n Deflectometry<\/p>\n<\/td>\n HW 4 due \/ HW 5 out<\/p>\n<\/td>\n<\/tr>\n 4\/3\/2023<\/p>\n<\/td>\n 21<\/p>\n<\/td>\n Event Sensing<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 4\/8\/2023<\/p>\n<\/td>\n 22<\/p>\n<\/td>\n Noise in Imaging Systems<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 4\/10\/2023<\/p>\n<\/td>\n 23<\/p>\n<\/td>\n Image Quality<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 4\/15\/2023<\/p>\n<\/td>\n 24<\/p>\n<\/td>\n Optical Systems I<\/p>\n<\/td>\n HW 5 due \/ HW 6 out<\/p>\n<\/td>\n<\/tr>\n 4\/17\/2023<\/p>\n<\/td>\n 25<\/p>\n<\/td>\n Optical Systems II<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 4\/22\/2023<\/p>\n<\/td>\n 26<\/p>\n<\/td>\n Interferometry and Holography<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 4\/24\/2023<\/p>\n<\/td>\n 27<\/p>\n<\/td>\n Speckle and Optical Coherence Tomography<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n 4\/29\/2023<\/p>\n<\/td>\n 28<\/p>\n<\/td>\n Time-of-Flight and Light-in-Flight<\/p>\n<\/td>\n HW 6 due<\/p>\n<\/td>\n<\/tr>\n 5\/1\/2023<\/p>\n<\/td>\n 29<\/p>\n<\/td>\n Non-Line-of-Sight imaging and Imaging through scattering media<\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n Fri <\/strong> 5\/3\/2023<\/p>\n<\/td>\n <\/p>\n<\/td>\n FINAL EXAM (1pm \u2013 3pm @ Meinel 307)<\/strong><\/p>\n<\/td>\n <\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n <\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" Introduction to Image Science, Spring 2024 Jump to: Course Description | CourseLogistics | Lecture and Homework Schedule<\/p>\n","protected":false},"author":246,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-68","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages\/68","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/users\/246"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/comments?post=68"}],"version-history":[{"count":2,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages\/68\/revisions"}],"predecessor-version":[{"id":70,"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/pages\/68\/revisions\/70"}],"wp:attachment":[{"href":"https:\/\/wp.optics.arizona.edu\/opti536\/wp-json\/wp\/v2\/media?parent=68"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
\n
\n
\n
<\/a>Course Logistics<\/h3>\n
Material made available:<\/strong> http:\/\/d2l.arizona.edu
Instructors:<\/strong> Florian Willomitzer (after spring break), Lars Furenlid (before spring break)
TA:<\/strong> Micaehla May<\/p>\n
Room:<\/strong> Meinel 629
Email:<\/strong> fwillomitzer@arizona.edu
Office hours:<\/strong> In person or via zoom. Send email to reserve a 15min slot.<\/p>\n
Room:<\/strong> Meinel 433
Email:<\/strong> furen@radiology.arizona.edu
Office hours:<\/strong> tba<\/p>\n
Email:<\/strong> mmay@optics.arizona.edu
Office hours:<\/strong> tba<\/p>\nGrading<\/h5>\n
<\/a>Lecture and Homework Schedule<\/h3>\n
\n\n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n <\/td>\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n