COLLEGE OF IMAGING ARTS AND SCIENCES. Medical Illustration

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ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF IMAGING ARTS AND SCIENCES Medical Illustration NEW COURSE: CIAS-ILLM-608-ScientificVisualizationX 1.

granted date: Optional designations: General Education: Writing Intensive: Honors Is designation desired? *Approval request date: **Approval granted date: 2.

1 ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF IMAGING ARTS AND SCIENCES Medical Illustration NEW COURSE: CIAS-ILLM-608-ScientificVisualizationX 1.0 Course Designations and Approvals Required course approvals: Approval request date: Academic Unit Curriculum Committee 11/22/10 11/22/10 College Curriculum Committee 12/21/10 12/21/10 Approval granted date: Optional designations: General Education: Writing Intensive: Honors Is designation desired? *Approval request date: **Approval granted date: 2.0 Course information: Course title: Scientific Visualization Credit hours: 3 Prerequisite(s): ILLM-601 Human Gross Anatomy Co-requisite(s): Course proposed by: Jim Perkins Effective date: Fall 2013 Contact hours Maximum students/section Classroom 2 6 Lab 3 6 Studio Other (specify) 2.a Course Conversion Designation*** (Please check which applies to this course). *For more information on Course Conversion Designations please see page four. SE Semester Equivalent (SE) Please indicate which quarter course it is equivalent to: Molecular Illustration Semester Replacement (SR) Please indicate the quarter course(s) this course is replacing: New

2 2.b Semester(s) offered (check) Fall Spring X Summer Other All courses must be offered at least once every 2 years. If course will be offered on a biannual basis, please indicate here: 2.c Student Requirements Students required to take this course: (by program and year, as appropriate) Medical Illustration graduate students Students who might elect to take the course: In the sections that follow, please use sub-numbering as appropriate (eg. 3.1, 3.2, etc.) 3.0 Goals of the course (including rationale for the course, when appropriate): 3.1 To introduce students to technologies that allow us to visualize anatomic, cellular, and molecular structures that are otherwise invisible 3.2 To instruct students in the use of molecular visualization software to view 3D molecular models 3.3 To review basic chemistry and molecular biology so students can understand and manipulate molecular models 3.4 To instruct students in the use of Osirix, Fovia, and similar software to create 3D anatomical models and animations from actual patient imaging data (CT, MRI, etc.) 4.0 Course description (as it will appear in the RIT Catalog, including pre- and corequisites, and quarters offered). Please use the following format: Course number: ILLM-608 Name of Course Long Title: Scientific Visualization Name of Course Short Title: Scientific Visualization Pre-requisite: ILLM-601 Human Gross Anatomy Class 2, Lab 3, Credit 3 (Spring) Emerging technologies enable scientists to visualize structures that are otherwise invisible to the naked eye. For example, molecular visualization software allows us to construct highly accurate molecular models from x-ray crystallography and other structural data. Cryo-EM and confocal microscopy are revealing the previously unknown structure of cellular organelles. Medical imaging systems allow us to reconstruct the human body in three dimensions from actual patient data (CT scans, MRI, etc.). This course explores the use of these technologies to provide references for traditional artwork and to export models for digital rendering and animation. 2

3 5.0 Possible resources (texts, references, computer packages, etc.) 5.1 Sharpe, Jason, Charles Lumsden, and Nicholas Woolridge. In Silico: 3D Animation and Simulation of Cell Biology with Maya and MEL. Morgan Kaufmann Publishers. 5.2 Goodsell, David S. The Machinery of Life, 2 nd ed. Copernicus Books. 5.3 University of California at San Francisco, Resource for Biocomputing, Visualization, and Informatics. UCSF Chimera extensible molecular modeling system University of Illinois at Urbana-Champaign, Theoretical and Computational Biophysics Group. Visual Molecular Dynamics molecular visualization software PyMOL molecular visualization software OsiriX Imaging Software, open-source DICOM viewer and PACS workstation Fovia High Definition Volume Rendering software Topics (outline): 6.1 Basic chemistry and molecular biology review Atoms, bonding, molecular geometry Organic compounds Naming of organic compounds Carbohydrates Lipids Proteins Nucleic acids 6.2 Molecular visualization Molecular model styles Color schemes Sources of molecular models Molecular visualization software Molecular model file formats Molecular illustration 6.3 Cellular visualization Confocal microscopy Cryo-EM 6.4 Anatomical visualization Imaging modalities D reconstruction Generating image references Exporting 3D models 3

4 6.4.5 QTVR and animation 7.0 Intended course learning outcomes and associated assessment methods of those outcomes (please include as many Course Learning Outcomes as appropriate, one outcome and assessment method per row). Course Learning Outcome Assessment Method 7.1 Describe the bonding behavior of organic elements and understand how this determines molecular geometry 7.2 Describe and illustrate the important classes of biological molecules 7.3 Describe and illustrate the different types of molecular representation models 7.4 Choose the correct colors for the organic elements, amino acids, nucleotides, etc. based on established conventions 7.5 Describe the experimental methods used to determine 3D molecular structures 7.6 Locate 3D molecular models on the Internet 7.7 Manipulate these models in molecular visualization applications 7.8 Conduct independent research on the role of molecular processes in human physiology and disease 7.9 Develop a set of instructional objectives for an illustration of molecular processes in human physiology and disease 7.10 Illustrate molecular processes using raster, vector, and 3D applications 7.11 Describe the methods used to visualize cells and organelles 7.12 Create 3D cellular models from Cryo-EM and other experimental data 7.13 Describe the imaging modalities, such as x-ray, CT, and MRI, that are used to visualize the human body 7.14 Export 2D references from 3D imaging datasets 7.15 Export 3D models in industry-standard formats (VRML, OBJ, etc.) from 3D imaging datasets 7.16 Render simple animations using the built-in capabilities of DICOM viewing software 8.0 Program outcomes and/or goals supported by this course 8.1 Demonstrate an advanced level of knowledge in the biomedical sciences. 8.2 Visualize scientific structures, processes, and concepts. 8.3 Visualize objects in 2- and 3-dimensions, perspective, cross-section, cut-away, sequence, and/or from different viewpoints. 4

5 8.4 Conduct independent research using primary literature to understand complex biomedical topics. 8.5 List instructional objectives to communicate biomedical content to a variety of target learners. 8.6 Solve complex communication problems with appropriate application of verbal and visual content, realism, symbolism, graphic conventions, and motion or interactive media. 8.7 Communicate effectively with clients, subject matter experts, co-workers, supervisors, and vendors in oral and written form Other relevant information (such as special classroom, studio, or lab needs, special scheduling, media requirements, etc.) 5

CIS 120. Introduction to Programming

CIS 120. Introduction to Programming CIS 120 Introduction to Programming Approved: May 6, 2011 EFFECTIVE DATE: Fall 2011 COURSE PACKAGE FORM Contact Person (s) Matt Butcher, Andra Goldberg, Dave White, Steve Sorden Date of proposal to Curriculum