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Course Descriptions
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ACSC010  YearOne 
The YearOne class serves as an interdisciplinary catalyst for firstyear students to access campus resources, services and opportunities that promote selfknowledge, leadership development, social responsibility and life skills awareness and application. YearOne is also designed to challenge and encourage firstyear students to get to know one another, build friendships and help them become an integral part of the campus community. ()
Credit 0 (Fall)
CIASSOFA103  Film/Video Materials & Technology 
This course provides an introductory overview of the basic engineering and scientific principles associated with motion picture technologies. Topics covered include imaging physics, photographic science, human vision and perception, image capture and display technologies (both analog and digital) and digital image processing. This course is taught using both mathematical and phenomenological presentation and prepares students to proceed with more indepth investigation of these fields in subsequent imaging science and digital cinema courses. Accompanying laboratory exercises provide handson experience with the presented concepts. (Prerequisites: COSMATH181, COSMATH181A or COSMATH171 or permission of instructor)
Credit 3 (Spring)
COSIMGS111  Imaging Science Fundamentals 
An exploration of the fundamentals of imaging science and the imaging systems of the past, present, and future. Imaging systems studied include the human visual system, consumer and entertainment applications (e.g., traditional and digital photography, television, digital television and HDTV, virtual reality); medical applications (e.g., Xray, ultrasound, MRI); business/document applications (e.g., impact and nonimpact printing, scanners, printers, fax machines, copiers) and systems used in remote sensing and astronomy (e.g., nightvision systems, ground and satellitebased observatories). The laboratory component includes experiments related to the principles and theories discussed in the corresponding lecture. Laboratory experiments give students experience with many imaging systems and exposure to the underlying scientific principles. (Prerequisites: Competency in algebra)
Credit 3
COSIMGS112  Astronomical Imaging Fundamentals 
Familiarizes students with the goals and techniques of astronomical imaging. The broad nature of astronomical sources will be outlined, in terms of requirements on astronomical imaging systems. These requirements are then investigated in the context of the astronomical imaging chain. Imaging chains in the optical, Xray, radio, and/or other wavelengths will be studied in detail. Laboratory assignments will range from construction and characterization of a handheld telescope to analysis of astronomical images. (Prerequisites: COSIMGS111 or permission of instructor)
Credit 3
COSIMGS141  Earth System Dynamics I 
This course is the first of a twocourse sequence, general elective offering that will expose students to earth systems dynamics, i.e., the lithosphere, hydrosphere, atmosphere, and terrestrial components, and their interactions at a global scale. The course also offers introductions to regional and local scale interactions, as well as societal impacts, e.g., science, engineering, policy, and economics. We will focus on the underlying science of these system components, how they fluctuate, interact, and what this means for society as a whole. This will include theoretical background, guest lecturers, class discussion centered on prominent topics, e.g., global warming and the science behind this, and a class project that focuses on global scale interactions and their relevance to scientific, engineering, social, and economic endeavors. ()
Credit 3
COSIMGS142  Earth System Dynamics II 
This course is the second of a two course sequence, general elective offering that will expose students to earth systems dynamics, i.e., the lithosphere, hydrosphere, atmosphere, and terrestrial components, their interactions at various scales, and their impacts on a set of human (societal) endeavors. The first offering in the sequence focused on earth systems, while this section will delve into global, regional, and local scale interactions, as well as societal impacts, e.g., science, engineering, policy, social, and economics. We will develop case studies at especially the regional and local scales and discuss how these systems are actually drivers of much of what we as humans do in our daily lives. This will include theoretical background, guest lecturers, class discussion centered around prominent topics, and a class project that focuses on local and regional interactions and their relevance to scientific, engineering, social, and economic endeavors. (Prerequisites: COSIMGS141)
Credit 3
COSIMGS180  Introduction to Computing and Control 
This handon course is an introduction to computer programming, simple electronics, and the control of electronic devices using commercially available, singleboard computers (Raspberry Pi). The student will be introduced to objectoriented programming using Python. Fundamentals of flow control, object types and creation, input/output, and problemsolving approaches such as the use of randomness, divideandconquer, Monte Carlo, and search will be examined in detail and applied to imagingrelated problems. In addition, emphasis will be placed on utilizing the analog and digital input/output ports available on these singleboard computers to control and acquire data from electronic devices like optical detectors, LED sources, and servo motors. Emphasis will be placed on the use of opensource software libraries to assist in the control and the realtime acquisition of image data from peripheral imaging devices. (Prerequisites: Matriculation as Imaging Science or Motion Picture Science or permission of instructor)
Credit 3 (Fall)
COSIMGS181  Innovative Freshman Experience I 
Freshman Imaging Project I is the first of a twocourse sequence built around a single project aimed at designing, developing, and building a functional imaging system through a unified team effort. The system chosen as the focus of this development effort will be one which is relevant to a "real world" external constituency and necessary for that group to achieve its technical goals. With the help of faculty and staff from the imaging science program and other departments across campus, students will plan and organize the effort, conduct trade studies to assess technology options, integrate components to build their system, and confirm that the system meets desired levels of performance. Along the way the students will develop a general understanding of the foundational concepts of imaging science, an indepth knowledge of at least one aspect of imaging science, a working knowledge of the principles of systems engineering, an appreciation for the value of teamwork in technical disciplines, and proficiency in oral and written technical communication. In this first course of the sequence, students will develop their system to a "preliminary design review" level of maturity, and will plan the tradeoff studies needed to proceed with construction and testing of their system in the second course in the sequence. (Prerequisites: Firstyear status as Imaging Science or Motion Picture Science or permission of instructor)
Credit 3 (Fall)
COSIMGS182  Innovative Freshman Experience II 
Freshman Imaging Project II is the second of a twocourse sequence built around a single project aimed at designing, developing, and building a functional imaging system through a unified team effort. The system chosen as the focus of this development effort will be one which is relevant to a "real world" external constituency and necessary for that group to achieve its technical goals. With the help of faculty and staff from the imaging science program and other departments across campus, students will plan and organize the effort, conduct trade studies to assess technology options, integrate components to build their system, and confirm that the system meets desired levels of performance. Along the way the students will develop a general understanding of the foundational concepts of imaging science, an indepth knowledge of at least one aspect of imaging science, a working knowledge of the principles of systems engineering, an appreciation for the value of teamwork in technical disciplines, and proficiency in oral and written technical communication. In this second course of the sequence, students will conduct tradeoff studies to determine which of the competing technologies should be incorporated into their system, develop interface control documents to facilitate integration of those technologies, conduct a "critical design review" for an external review board, then build their system and demonstrate the resulting level of performance. (Prerequisites: Firstyear status as Imaging Science or Motion Picture Science or permission of instructor)
Credit 3 (Spring)
COSIMGS201  Introduction to Imaging Systems 
This course provides an introduction to the endtoend characterization and analysis of imaging systems, with emphasis on handson laboratory explorations. Fundamental concepts of the various elements of imaging science (energy & radiation propogation; optics; sensors; image processing; image quality analysis) are applied to describe and analyze commercial and scientific imaging systems. Key concepts in imaging systems design, characterization, and calibration are introduced or reviewed via practical laboratory explorations and a studentdirected final project incorporating familiar imaging systems (e.g., digital still cameras, LCD displays, and video frame transfer systems). Scientific applications of these and other imaging systems as well as current developments in the design and use of imaging systems will be incorporated at the discretion of the instructor. (Prerequisites: COSMATH182,COSPHYS211)
Credit 3
COSIMGS211  Probability & Statistics for Imaging 
This course is an introduction to probability and statistics. The first half of the course will cover probability distributions for discrete and continuous random variables, expectation, variance, and joint distributions. The second half of the course will cover point estimation, statistical intervals, hypothesis testing, inference, and linear regression. (Prerequisites: COSMATH182 or COSMATH173 or equivalent)
Credit 3 (Fall)
COSIMGS221  Vision and Psychophysics 
The final "component" in many imaging systems is visual perception. The human visual system can also be considered as an imaging system itself; arguably the most complex system. From visual optics through highlevel cortical processing such as the perception of depth and motion, an understanding of the characteristics and limitations of the visual system aids in designing and evaluating imaging systems. Unlike other elements of imaging systems, it is difficult or impossible to get objective measures of visual perception; psychophysics provides tools for measuring perceptual mechanisms. This course presents an overview of the organization and function of the human visual system and some of the psychophysical techniques used to study visual perception. (Prerequisites: CIASSOFA103 or permission of instructor)
Credit 3 (Fall)
COSIMGS251  Radiometry 
This course introduces the concepts of quantitative measurement of electromagnetic energy. The basic radiometric and photometric terms are introduced using calculus based definitions. Governing equations for source propagation and sensor output are derived. Simple source concepts are reviewed and detector figures of merit are introduced and used in problem solving. The radiometric concepts are then applied to simple imaging systems so that a student could make quantitative measurements with imaging instruments. (Prerequisites: COSMATH182,COSPHYS212)
Credit 3 (Fall)
COSIMGS261  Linear and Fourier Methods for Imaging 
This course uses the concepts of complex numbers and linear algebra for describing imaging systems in the spatialfrequency domain via the discrete and continuous Fourier transform. (Prerequisites: COSMATH182)
Credit 4 (Spring)
COSIMGS290  Introduction to Scientific Research 
This course will expose a student who is in the early stages of their postsecondary education to the process of conducting scientific research in an established university research laboratory setting. The student will perform experiments, document results, present their findings, and work closely with a faculty mentor who will design the research to be conducted. It is anticipated that this may be the student's first exposure to the field in which they are conducting research and the importance of background research and literature review will be emphasized. (Prerequisites: Permission of instructor)
Credit 1
COSIMGS321  Geometric Optics 
This course introduces the analysis and design of optical imaging systems based on the ray model of light. Topics include reflection, refraction, imaging with lenses, stops and pupils, prisms, magnification and optical system design using computer software. (Prerequisites: COSPHYS212)
Credit 3 (Fall)
COSIMGS322  Physical Optics 
Light waves having both amplitude and phase will be described to provide a foundation for understanding key optical phenomena such as interference, diffraction, and propagation. Starting from Maxwell's equations the course advances to the topic of Fourier optics. (Prerequisites: COSPHYS212,COSIMGS261 or COSPHYS283,COSPHYS320 or equivalent)
Credit 3 (Spring)
COSIMGS341  Interactions Between Light & Matter 
An introduction to the principles necessary to understand how light interacts with matter. Atomic physics as applied to simple atoms is reviewed. These concepts are extended to multielectron atoms and an understanding of their spectra. Molecular structure and spectra are covered in depth, including the principles of lasers. Statistical physics concepts are then introduced. Next, the structure of crystalline solids, their band structure and optical properties are studied. These concepts are then used to understand electronic devices, such as imaging detectors. (Prerequisites: COSPHYS213)
Credit 3 (Spring)
COSIMGS351  Color Science 
This course presents an introduction to color perception, measurement, and reproduction in imaging systems. Building upon an understanding of the human visual system and psychophysics from COSIMGS221 and radiometric measurements and computations from COSIMGS251, this course explores in more detail the basis of color perception, applies those principles to the measurement of color stimuli, and then explores the applications of color science in imaging system evaluation, characterization, and modeling. (Prerequisites: COSIMGS221)
Credit 3 (Spring)
COSIMGS361  Image Processing and Computer Vision I 
This course is an introduction to the basic concepts of digital image processing. The student will be exposed to image capture and image formation methodologies, sampling and quantization concepts, statistical descriptors and enhancement techniques based upon the image histogram, point processing, neighborhood processing, and global processing techniques based upon kernel operations and discrete convolution as well as the frequency domain equivalents, treatment of noise, geometrical operations for scale and rotation, and greylevel resampling techniques. Emphasis is placed on applications and efficient algorithmic implementation using the student's programming language of choice. (Prerequisites: COSIMGS261,COSIMGS180 or equivalent programming experience)
Credit 3 (Fall)
COSIMGS362  Image Processing and Computer Vision II 
This course is an introduction to the more advanced concepts of digital image processing. The student will be exposed to image reconstruction, noise sources and techniques for noise removal, information theory, image compression, video compression, wavelet transformations, frequencydomain based applications, morphological operations, and modern digital image watermarking and steganography algorithms. Emphasis is placed on applications and efficient algorithmic implementation using the student's computer programming language of choice, technical presentation, and technical writing. (Prerequisites: COSIMGS361)
Credit 3 (Spring)
COSIMGS365  IDL Programming 
This course will introduce the student to the IDL environment as a data visualization tool and a programming language. The student will learn the various capabilities of the language and how it can be used to rapidly prototype solutions to various imagingrelated problems. As these solutions are developed, fundamental concepts of programming and data structures will be introduced. Programming assignments will parallel the algorithms being examined in the Digital Image Processing I class that the students should be coregistered for and will concentrate on problems that involve scalar, vector and array processes. This course will emphasize the need for concrete problem definition, problem decomposition into smaller subproblems, implementation/testing, and presentation/documentation of the algorithms and results. (Corequisites: COSIMGS361)
Credit 1
COSIMGS401  Research Practices 
This course is designed to develop skills in technical communication and scientific research practices. The technical communication aspect of this course is concerned with sharpening students' powers of oral and written persuasion in the form of a proposal presentation and writing. Each student is required to research, write, and present a proposal for an independent research project. ()
Credit 1
COSIMGS431  Environmental Applications of Remote Sensing 
This course offers an introduction to remote sensing systems and a selection of environmental applications of remote sensing. The basic properties of electromagnetic radiation, its interaction with the atmosphere and earth surfaces (e.g., vegetation, minerals, water, etc.), and the interpretation of these interactions are dealt with in the first half of the course. This is followed by a description of airborne and spaceborne, active and passive sensors that operate throughout the electromagnetic spectrum for detecting physical phenomena. Finally, an introduction is provided to preprocessing and analysis techniques that are useful for extracting information from such sensors. The Earth's atmospheric, hydrospheric and terrestrial processes are considered at local to regional scales. Application areas include monitoring vegetation health, measuring biomass (carbon sequestration), identifying cultural features, assessing water resources, and detecting pollution and natural hazards. (Prerequisites: College Physics II or permission of instructor)
Credit 3
COSIMGS432  Advanced Environmental Applications of Remote Sensing 
This course is intended as followup to "Environmental Applications of Remote Sensing" (COSIMGS431) for nonImaging Science students and as an introduction to environmental applications of remote sensing for Imaging Science students. Students were exposed to principles that underpin the interaction of electromagnetic energy with natural surfaces, remote sensing systems, datapreprocessing, and a selection of environmental applications in "Environmental Applications of Remote Sensing" (IMGS431). The "Advanced Environmental Applications of Remote Sensing" course (IMGS432) will focus on a broader selection of analytical techniques with an applicationcentric presentation. These techniques include narrowband indices, filtering in the spatial and frequency domains, principal component analysis, textural analysis, hybrid and objectoriented classifiers, change detection methods, and structural analysis  all applied to assessment of our natural resources. Sensing modalities include imaging spectroscopy (hyperspectral), multispectral, and light detection and ranging (lidar) sensors. We will look at applications such as vegetation stress assessment, foliar biochemistry, advanced image classification for land use purposes, detecting change between image scenes, and assessing topography and structure in forestry and grassland ecosystems (volume, biomass, biodiversity) and built environments. Realworld remote sensing and field data from international, US, and local sources are used throughout this course. Duallisted for undergraduate or graduate credit, as applicable. (Prerequisites: COSIMGS431 or permission of instructor)
Credit 3
COSIMGS433  Remote Sensing Systems Engineering 
This course develops knowledge and understanding of the design and analysis of optical remote sensing systems for Earth remote sensing. Building on general imaging fundamentals learned earlier in their program, students will learn domain specific tools and techniques for analyzing airborne and satellite sensor systems for the optical spectral imaging of Earth. Through a combination of classroom and laboratory experiences, students will learn about the propagation of photons and signals from the Sun through the formation of a digital image. The course will emphasize a linear systems modeling perspective and provide the students the background to understand, model, and predict remote sensing imaging system performance. (Prerequisites: COSIMGS251,COSIMGS441,COSIMGS471 or permission of instructor)
Credit 3
COSIMGS441  Noise and System Modeling 
The purpose of this course is to develop an understanding and ability to model noise and random processes within the context of imaging systems. After a brief review of probability theory, the concept of image noise is introduced. Next, random processes are studied in both the spatial and spatial frequency domains stressing the autpcorrleation function and the power density spectrum. Then we demonstrate the application of random processes to the understanding of signal and noise transfer in multistage imaging systems. At the completion of the course the student should have the ability to model signal and noise transfer within a multistage imaging system. (Prerequisites: COSIMGS211,COSIMGS261)
Credit 3 (Fall)
COSIMGS451  Imaging Detectors 
This course provides an overview of the underlying physical concepts, designs, and characteristics of detectors used to sense electromagnetic radiation having wavelengths ranging from as short as Xrays to as long as millimeter radiation. The basic physical concepts common to many standard detector arrays will be reviewed. Some specific examples of detectors to be discussed include photomultipliers, micro channel plates, hybridized infrared arrays, PIN detectors, and SIS mixers. The use of detectors in fields such as astronomy, high energy physics, medical imaging and digital imaging will be discussed. (Prerequisites: COSIMGS251,COSIMGS341 or equivalent)
Credit 3 (Spring)
COSIMGS461  Multiwavelength Astronomical Imaging 
Multiwavelength Astronomical Imaging will survey multiwavelength astronomical observing techniques and instrumentation. Students will gain an understanding of how the telescopes, detectors, and instrumentation in the major ground based and space based observatories function and how to use them. Observatories to be studied include the Very Large Array, GBT, ALMA, Spitzer, HST, Gemini, JWST, and Chandra. Students will plan and carry out a multiwavelength archival program on a topic of their choice. (Prerequisites: COSPHYS213 (required), Intermediate Astronomy (recommended))
Credit 3
COSIMGS462  Multivariate Statistical Image Processing 
This course discusses the digital image processing concepts and algorithms used for the analysis of hyperspectral, multispectral and multichannel data in multiple imaging application areas. Concepts are covered at the theoretical and implementation level using current, popular commercial software packages and highlevel programming languages to work examples, homework problems and programming assignments. The requisite multivariate statistics will be presented as part of this course as an extension of the univariate statistics that the students have previously been exposed to in the introductory statistics classes. Topics to be covered will include methods for supervised data classification, clustering algorithms and unsupervised classification, multispectral data transformations, data redundancy reduction techniques, derivation of nonspectral images features to aid in the classification process, and data fusion for resolution enhancement. (Prerequisites: COSIMGS362)
Credit 3
COSIMGS471  Imaging Systems Analysis I 
The ISA course sequence introduces students to the theory and practice of imaging systems analysis. ISA I focuses on analyzing the radiometric and 2D spatial properties of imaging systems. ISA II focuses on the analysis of ttimesequential, stereoscopic, volumetric and synthetic,imaging systems. In ISA I students will learn techniques for measuring the tone transfer (TTF), point spread (PSF) and modulation transfer functions (MTF) of continuous and sampled imaging systems, and will learn to use both spatial and frequency domain mathematical tools for modeling system response properties and for designing imaging systems to meet specific performance criteria. (Prerequisites: COSIMGS261,COSIMGS365 or equivalent programming experience)
Credit 3
COSIMGS472  Imaging Systems Analysis II 
The ISA course sequence introduces students to the theory and practice of imaging systems analysis. ISA I focuses on analyzing the radiometric and 2D spatial properties of imaging systems. ISA II focuses on the analysis of timesequential, stereoscopic, volumetric, and synthetic imaging systems. In ISA II students will learn techniques for characterizing the temporal, spatiotemporal, and volumetric analogues of the point spread (PSF) and modulation transfer functions (MTF) of continuous and sampled imaging systems, and will learn to use both spatial and frequency domain mathematical tools for modeling system response properties and for designing imaging systems to meet specific performance criteria. (Prerequisites: COSIMGS471)
Credit 3
COSIMGS475  Advanced Imaging Laboratory I 
Advanced Imaging Laboratory I is a companion laboratory sequence to the Imaging Systems Analysis I course. Empirical measurements of 1D (point) and 2D (plane) imaging systems are used to build computational models of tonetransfer function (TTF), pointspread function (PSF), and modulationtransfer function (MTF) of several systems. Significant programming and writing assignments are included. (Prerequisites: COSIMGS261)
Credit 2 (Fall)
COSIMGS476  Advanced Imaging Laboratory II 
Advanced Imaging Laboratory II is a companion laboratory sequence to the Imaging Systems Analysis II course. Empirical measurements of 3D (e.g., stereoscopic, volumetric, timesequential, hyperspectral) and 3+D (e.g., timesequential hyperspectral) imaging systems are used to build computational models of imaging systems. Significant programming and writing assignments are included. (Prerequisites: COSIMGS475)
Credit 2 (Spring)
COSIMGS490  Undergraduate Research 
This course will actively engage a student in the process of conducting scientific research in an established university research laboratory setting. The student will work with a research team (with at least the sponsoring faculty/mentor) and will perform experiments, document results, present their findings, and work closely with the faculty mentor. The interaction will allow the student to develop approaches to solving the particular problem based on their experience and though detailed technical discussions/presentations to the members of the research team. The team will critically review both the results of the experimental work and the student's proposed plans as well as offer suggestions concerning other options for future work. It is anticipated that the student will have a firm scientific foundation in imaging science and that domainspecific knowledge for the course will be gained though review of the literature. (Prerequisites: Permission of instructor)
Credit 4
COSIMGS502  Imaging Science Senior Project I 
Students perform the independent research project defined in COSIMGS501 under the direction of a faculty member in imaging science. The student presents the results of the project to a public meeting. (Prerequisites: Permission of instructor)
Credit 3 (Fall)
COSIMGS503  Imaging Science Senior Project II 
Students perform the independent research project defined in COSIMGS501 under the direction of a faculty member in imaging science. The student presents the results of the project to a public meeting. (Prerequisites: Permission of instructor)
Credit 3 (Spring)
COSIMGS528  Design and Fabrication of a Solid State Camera 
The purpose of this course is to provide the student with handson experience in building a CCD camera. The course provides the basics of CCD operation including an overview, CCD clocking, analog output circuitry, cooling, and evaluation criteria. (Prerequisites: Fourth year or graduate status in Imaging Science or by permission of instructor)
Credit 3
COSIMGS539  Principles of Solid State Imaging Arrays 
This course covers the basics of solid state physics, electrical engineering, linear systems and imaging needed to understand modern focal plane array design and use. The course emphasizes knowledge of the working of CMOS and infrared arrays. (Prerequisites: Fourth year or graduate status in Imaging Science or by permission of instructor)
Credit 3
COSIMGS542  Testing of Focal Plane Arrays 
An introduction to the techniques used for the testing of solid state imaging detectors such as CCDs, CMOS and Infrared Arrays is provided. Focal plane array users in industry, government and university need to ensure that key operating parameters for such devices either fall within an operating range or that the limitation to the performance is understood. This is a handson course where the students will measure the performance parameters of a particular camera in detail. (Prerequisites: Fourth year or graduate status in Imaging Science or by permission of instructor)
Credit 3
Last Modified: 12:33pm 15 Feb 11