The interdisciplinary doctoral program in Computational Science and Engineering ( PhD in CSE + Engineering or Science ) offers students the opportunity to specialize at the doctoral level in a computation-related field of their choice via computationally-oriented coursework and a doctoral thesis with a disciplinary focus related to one of eight participating host departments, namely, Aeronautics and Astronautics; Chemical Engineering; Civil and Environmental Engineering; Earth, Atmospheric and Planetary Sciences; Materials Science and Engineering; Mathematics; Mechanical Engineering; or Nuclear Science and Engineering.
Doctoral thesis fields associated with each department are as follows:
As with the standalone CSE PhD program, the emphasis of thesis research activities is the development of new computational methods and/or the innovative application of state-of-the-art computational techniques to important problems in engineering and science. In contrast to the standalone PhD program, however, this research is expected to have a strong disciplinary component of interest to the host department.
The interdisciplinary CSE PhD program is administered jointly by CCSE and the host departments. Students must submit an application to the CSE PhD program, indicating the department in which they wish to be hosted. To gain admission, CSE program applicants must receive approval from both the host department graduate admission committee and the CSE graduate admission committee. See the website for more information about the application process, requirements, and relevant deadlines .
Once admitted, doctoral degree candidates are expected to complete the host department's degree requirements (including qualifying exam) with some deviations relating to coursework, thesis committee composition, and thesis submission that are specific to the CSE program and are discussed in more detail on the CSE website . The most notable coursework requirement associated with this CSE degree is a course of study comprising five graduate subjects in CSE (below).
Architecting and Engineering Software Systems | 12 | |
Atomistic Modeling and Simulation of Materials and Structures | 12 | |
Topology Optimization of Structures | 12 | |
Computational Methods for Flow in Porous Media | 12 | |
Introduction to Finite Element Methods | 12 | |
Artificial Intelligence and Machine Learning for Engineering Design | 12 | |
Learning Machines | 12 | |
Numerical Fluid Mechanics | 12 | |
Atomistic Computer Modeling of Materials | 12 | |
Computational Structural Design and Optimization | ||
Introduction to Mathematical Programming | 12 | |
Nonlinear Optimization | 12 | |
Algebraic Techniques and Semidefinite Optimization | 12 | |
Introduction to Modeling and Simulation | 12 | |
Algorithms for Inference | 12 | |
Bayesian Modeling and Inference | 12 | |
Machine Learning | 12 | |
Dynamic Programming and Reinforcement Learning | 12 | |
Advances in Computer Vision | 12 | |
Shape Analysis | 12 | |
Modeling with Machine Learning: from Algorithms to Applications | 6 | |
Statistical Learning Theory and Applications | 12 | |
Computational Cognitive Science | 12 | |
Systems Engineering | 9 | |
Modern Control Design | 9 | |
Process Data Analytics | 12 | |
Mixed-integer and Nonconvex Optimization | 12 | |
Computational Chemistry | 12 | |
Data and Models | 12 | |
Computational Geophysical Modeling | 12 | |
Classical Mechanics: A Computational Approach | 12 | |
Computational Data Analysis | 12 | |
Data Analysis in Physical Oceanography | 12 | |
Computational Ocean Modeling | 12 | |
Discrete Probability and Stochastic Processes | 12 | |
Statistical Machine Learning and Data Science | 12 | |
Integer Optimization | 12 | |
The Theory of Operations Management | 12 | |
Optimization Methods | 12 | |
Flight Vehicle Aerodynamics | 12 | |
Computational Mechanics of Materials | 12 | |
Principles of Autonomy and Decision Making | 12 | |
Multidisciplinary Design Optimization | 12 | |
Numerical Methods for Partial Differential Equations | 12 | |
Advanced Topics in Numerical Methods for Partial Differential Equations | 12 | |
Numerical Methods for Stochastic Modeling and Inference | 12 | |
Introduction to Numerical Methods | 12 | |
Fast Methods for Partial Differential and Integral Equations | 12 | |
Parallel Computing and Scientific Machine Learning | 12 | |
Eigenvalues of Random Matrices | 12 | |
Mathematical Methods in Nanophotonics | 12 | |
Quantum Computation | 12 | |
Essential Numerical Methods | 6 | |
Nuclear Reactor Analysis II | 12 | |
Nuclear Reactor Physics III | 12 | |
Applied Computational Fluid Dynamics and Heat Transfer | 12 | |
Experiential Learning in Computational Science and Engineering | ||
Statistics, Computation and Applications | 12 |
Note: Students may not use more than 12 units of credit from a "meets with undergraduate" subject to fulfill the CSE curriculum requirements
, , or . | |
for more information. | |
or as a CSE concentration subject, but not both. | |
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The PDF includes all information on this page and its related tabs. Subject (course) information includes any changes approved for the current academic year.
College of design, parametric design.
The School’s technology programs coalesce in the context of design work, through studio, workshop, and professional applications. The computational design program focuses on how digital technologies impact the design process, production, and the resulting forms and products. Aspects of computational design are explored throughout the community through research, educational coursework, and real-world applications.
Real-world application.
Our School offers numerous courses on aspects of computational design, including formal and geometric study, parametric, scripting, and automation. Student teams and faculty professional work extend this study to real-world applications.
Beyond that application of digital tools and techniques, the school’s computational design efforts work to rethink the relationship between formal description, systematic building, performance analysis, and industrial production. Computational design is explored as a means for capturing and encoding these discrete dimensions of design into a synthetic project of building design, engineering, fabrication, and inhabitation.
The master’s degree in Computation for Design and Optimization (CDO) is an interdisciplinary program designed to prepare tomorrow’s engineers and scientists in advanced computational methods and applications. The program provides a strong foundation in computational approaches to the design and operation of complex engineered and scientific systems. As an interdisciplinary academic program, CDO is housed in the Center for Computational Engineering.
Conduct interdisciplinary research that will shape the future of computationally based creative expression. Housed in WPI’s Interactive Media & Game Development program (IMGD), WPI’s new PhD in computational media provides space and expertise for students to research computational approaches that reflect, inspire, and shape human creativity and new media.
An interdisciplinary approach to how computers support and connect with human expression forms the research basis for WPI’s PhD in computational media. The best game design graduate programs like WPI’s include perspectives that cross disciplines to understand how computational media impacts society. As technology becomes increasingly entwined in all aspects of human life, professionals who can connect creativity and humanistic expression with computational media are in demand.
They will be navigating the technological complexity of this field, but shaping its future as well. With a nuanced understanding of creative methods and humanistic concerns, they will develop new tools and services that positively change the way humans work, play, express themselves, and connect with others.
This research-based program is focused on play and art as fundamentally important aspects of human experience that can be shaped in compelling ways via technological tools and methods. Join an interdisciplinary group of faculty and students in exploring the effect of technology on individual and group creative practice. The PhD in computational media supports students whose research focuses on artistic and humanistic expression--whether through the creation of new computational tools or the novel application of existing platforms. Learn more about how WPI offers some of the best game design graduate programs in the nation.
The PhD in computational media is a 60-credit hour program. Program requirements are divided equally between coursework (30 credits, 15 of which are computational media core) and research (30 credits). Individual paths could be as diverse as the study and design of human-computer interfaces, games and game engines, narratives, artificial intelligence, creativity, communication, and visual and sonic media, among others.
Computational media research is inherently interdisciplinary—students will find opportunities to explore related fields, including computer science, data science, electrical and computer engineering, systems dynamics, robotics engineering, business, and psychology.
Additional requirements for the PhD in computational media include the following:
Do you have a friend, colleague, or family member who might be interested in Worcester Polytechnic Institute’s (WPI) graduate programs? Click below to tell them about our programs.
Research in the PhD in computational media encourages alternative forms of scholarship (published games, live performances, artistic installations) in addition to traditional publications.
This heterogeneous approach to research will uniquely enable students to become teachers, researchers, and creators who contribute to academic and commercial institutions that are increasingly focused on ways in which computational media shape the worlds of art, entertainment, and social interaction.
Interested in degrees similar to the PhD in computational media? Explore our Interactive Media & Game Development master of science .
Do you need to start with a technical master’s degree in IMGD instead? Explore our master’s in game development and design degree which explores design, technical expertise, and more.
Maybe you’re interested in a degree that’s focused on the artistic side of IMGD? Our MFA in IMGD helps you develop your artistic voice for use in academia, industry, and your personal creative practice.
Are you interested in an interactive media & game development path but need your bachelor’s degree first? Check out WPI’s top-ranked BS in IMGD which explores technical and artistic aspects of gaming. Maybe you prefer to explore an art-based IMGD bachelor’s degree? Our BA in IMGD has just what you’re looking for with a focus on design, animation, 3-D sculpting, and more.
You might want a solid understanding of game design and development but don’t want to pursue a full degree program. That’s why we offer a minor in IMGD that can complement your academic path.
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Computer Science
Physical Address: Janssen Engineering Building 236
Computer Science University of Idaho 875 Perimeter Drive MS 1010 Moscow, ID 83844-1010
Phone: 208-885-6592
Fax: 208-885-9052
Email: [email protected]
Web: Computer Science
Email: [email protected]
Career information is not specific to degree level. Some career options may require an advanced degree.
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View the Ph.D. Computer Science prerequisites, deadlines and contact information on the U of I Admissions website .
As a prerequisite to enter the Computer Science Ph.D. program, competence in the following areas must be demonstrated: knowledge of a structured, high-level language (CS120); algorithms and data structures (CS121); and a full year of calculus.
If prerequisite requirements are met, a student who does not have an adequate coursework background in computer science may be admitted with deficiencies in computer organization and architecture (CS150); computer languages (CS210); computer operating systems (CS240); software engineering (CS383); analysis of algorithms (CS395); or theory of computation (CS385).
Depending on your interests, your academic adviser will help you develop a focused plan of study for the Ph.D. Computer Science degree. Some examples include:
View current Computer Science courses Catalogs are released each year with up-to-date course listings. Students reference the catalog released during their first year of enrollment. For catalog related questions, email [email protected] or call 208-885-6731.
For questions relating to Computer Science degrees, please email [email protected] or call 208-885-6592.
The University of Idaho is awarded more than $100 million in annual grants, contracts and research appropriations.
For more funding options, visit the College of Graduate Studies’ funding website .
Our college offers 20+ clubs and organizations tied to international and national engineering organizations, including national competition teams.
Learn about clubs related to your major:
As a graduate student in this field, you will gain an in-depth understanding of the limitations and opportunities in the use of computers to solve problems. Work alongside faculty on leading research and explore high-level concepts in computational biology and more to prepare for your career in the field or in academia.
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Doctoral degrees.
The University of Idaho awards the degree of Doctor of Philosophy in recognition of high achievement in scholarly and research activity. The degree of Doctor of Education is granted for high scholarly attainment and in recognition of the completion of academic preparation for professional practice. See the "Ph.D. and Ed.D. Procedures" tab for more details. The Doctor of Athletic Training is offered through the College of Education and the Department of Movement Sciences (see the "DAT Procedures" tab for more details).
The major professor and program offering a particular doctoral program indicate the general philosophy of the degree program, the objectives of courses and seminars, the research specialties available, and requirements unique to the department. Admission to the doctoral program is granted only to those who have a recognized potential for completing the degree.
Credit requirements.
For the Ph.D. and Ed.D., a minimum of 78 credits beyond the bachelor's degree is required.; At least 52 credits must be at the 500 level or above and at least 33 of the 78 credits must be in courses other than 600 (Doctoral Research and Dissertation). A maximum of 45 research credits in 600 (Doctoral Research and Dissertation) including 6 credits of 599 (Non-thesis Research) or 500 (Master's Research and Thesis) may be in the 45 research credits used toward the degree. For the D.A.T., a minimum of 66 credits is required and follows a prescribed set of courses set by the program.
Courses numbered below 300 may not be used to fulfill the requirements for a doctoral degree; courses numbered 300-399 may be used only in supporting areas and are not to be used to make up deficiencies. Individual programs may require additional course work. Applicants having a doctoral degree may obtain a second doctoral degree subject to the approval of the Graduate Council. The Graduate Council will establish the requirements for the second degree.
For the Ph.D. and Ed.D. degrees, a student must complete at least 39 of the 78 required credits at the University of Idaho (U of I) while matriculated in the College of Graduate Studies. Credits can be transferred to U of I with the consent of the student's major professor, the committee (if required by the program), the program's administrator, and the dean of the College of Graduate Studies. Credits can be transferred only if the institution from which the credits are being transferred has a graduate program in the course's discipline. All credits used toward graduate degrees must be from regionally accredited American institutions or from non-US institutions recognized by the appropriate authorities in their respective countries. Transfer credits are subject to all other College of Graduate Studies rules and regulations. Correspondence study courses may be applied to the degree only with the prior written approval of the College of Graduate Studies. Courses used toward an undergraduate degree, professional development courses, and courses on a professional development transcript are not available to be used toward a doctoral degree.
Of the credits submitted to satisfy the requirements for a Ph.D. or Ed.D. degree, a maximum of 30 may be more than eight years old when the degree is conferred, provided the student's committee and program administrator determine that the student has kept current in the subjects concerned. Graduation must occur no later than five years after the date on which the candidate passed their preliminary or general examination. These time limitations can be extended only on recommendation of the committee and approval by the Graduate Council.
Regulations are outlined in Section 4920 of the Faculty-Staff Handbook.
A period of professional practice is required for the Doctor of Education degree; the period involved is determined by the student's supervisory committee. While the Ed.D. is a College of Education degree, you should consult with the departments in the College of Education to learn of specific emphasis requirements.
Appointment of major professor and committee.
Refer to " Appointment of Major Professor and Committee for All Degree Seeking Graduate Students " in the preceding General Graduate Regulations section. In addition, a doctoral supervisory committee consists of at least four people: the major professor as chair and at least one additional UI faculty member from the program, the balance of the committee may be made up of faculty members from a minor or supporting area, and faculty members from a discipline outside the major. If the committee has a co-chair, the minimum number of committee members is five.
The qualifying examination is a program option and serves to assess the background of the student in both the major and supporting fields and to provide partially the basis for preparation of the student's study program. A particular program may or may not require a master's degree as a prerequisite for the qualifying evaluation. As soon as the program's qualifications are met, a supervisory committee is appointed.
Refer to " Preparation and Submission of Study Plan " in the preceding General Graduate Regulations section.
The preliminary examination should be scheduled only after the student has completed the majority of the courses on their study plan. The student is required to be registered during the semester the preliminary examination is taken. The student's committee certifies to the College of Graduate Studies the results of the preliminary examination and if passed, the student is advanced to candidacy. Graduation must occur no later than five years after the date on which the candidate passed their examination. If the preliminary examination is failed, it may be repeated only once; the repeat examination must be taken within a period of not less than three months or more than one year following the first attempt. If a student fails the preliminary examination a second time, or the program does not allow the student to repeat the examination after the first failure or the student does not retake the examination within one year, the student is automatically moved to unclassified enrollment status and is no longer in the degree program.
When the student approaches the end of their course work, has completed the professional experience requirement, and has outlined the dissertation subject in detail, the supervisory committee approves the holding of the general examination. The student is required to be registered during the semester the general examination is taken. The examination is both written and oral and is intended to assess progress toward degree objectives. The student's committee certifies to the College of Graduate Studies the results of the general examination and if passed, the student is advanced to candidacy. Graduation must occur no later than five years after the date on which the candidate passed their examination. If the general examination is failed, it may be repeated only once; the repeat examination must be taken within a period of not less than three months or more than one year following the first attempt. If a student fails the general examination a second time, or the program does not allow the student to repeat the examination after the first failure or the student does not retake the examination within one year, the student is automatically moved to unclassified status and is no longer in the degree program.
See the General Graduate Regulations section regarding application for advanced degree, registration requirements, final defense and dissertation requirements.
The culminating clinical project.
Students enrolled in the Doctor of Athletic Training (D.A.T.) will engage in research projects during the curricular phase of the program. These project(s) will lead to at least two publication ready manuscripts, and all students must meet professional authorship requirements (regardless of order). See the Department of Movement Sciences and Doctor of Athletic Training webpages for more information.
All D.A.T. project team committees will have at least four committee members: two members of the athletic training faculty (all with graduate faculty status), the student's attending clinician (who is the student's on-site mentor during the student's residency), and an expert in the student's chosen area of clinical research. The athletic training faculty members will always chair the CCP, provide research guidance, and serve as the experts in the development of advanced practice in Athletic Training. A situation may arise in which one or both of the members of the committee that are outside of the AT program faculty may have a degree less than that of which the student is seeking; however, the intent of the third and fourth D.A.T. committee membership is to provide outside validation of the student's progress toward advanced practice and clinical utility of action research studies.
These dissertation hours may be used in instances when the CCP has not been successfully completed and the curricular phase of program has been completed.
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University of sheffield - mechanical engineering.
Qualification Type: | PhD |
---|---|
Location: | Sheffield |
Funding for: | UK Students |
Funding amount: | £19,237 (in 2024/25) |
Hours: | Full Time |
Placed On: | 6th September 2024 |
---|---|
Closes: | 31st October 2024 |
Join Our Exciting Funded PhD Project: Computational Modelling of Seals for High-Pressure, Low-Carbon Storage Technologies - Help Shape the Future of Clean Energy Storage!
Are you passionate about pushing the boundaries of engineering and accelerating the transition to a carbon-neutral energy system through groundbreaking research?
The University of Sheffield ’s Department of Mechanical Engineering ’s Thermofluids Group seeks am enthusiastic and self-motivated PhD student to join a groundbreaking project on Computational Modelling of Mechanical Seals. This project is funded by John Crane Ltd , one of the world’s leading providers of engineered technology.
John Crane Ltd is a $1Bn industry and the world leader in mechanical sealing. They design, manufacture, install, and support sealing for all kinds of rotating machines for all industries. You would be working with the research centre in Manchester and the manufacturing site in Slough.
Your project:
Why Choose Us?
Requirements:
Interested?
Contact Dr. Marco Colombo ( [email protected] ) for informal inquiries.
Apply Now: http://www.shef.ac.uk/mecheng/phd/applying (include personal statement, curriculum vitae, two reference letters and degree transcripts to date).
Funding Notes
The PhD is funded at the standard EPSRC rate (£19,237 in 2024/25) covering fees and bursary. Funding is only available to cover the level of fees set for UK applicants for 4 years. Applicants from non-UK/EU will need to cover the extra fees from their own funds.
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PhD Studentship: Durability of Seals for High-Pressure H2 Generation, Storage & Use - Shape The Future Of Clean Energy!
PhD Studentship - Quantitative Logics and Complexity Theory
PhD Studentship - Optimisation Algorithms of Physical Neural Networks
PhD Studentship: Compound Semiconductor Manufacturing Supply Chain Sustainability and Resiliency
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PhD Studentship: How Can We Support Children's Maths Learning? Understanding the Role of Misconceptions and Maths Anxiety
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A recent graduate of SCAD, Jack Winkler earned his BFA in Accessory Design with a focus on footwear , propelling him into the creation of groundbreaking projects such as Spore, the world’s first commercially available 3D-printed skate shoe. Currently residing in Dallas, Texas, he continues to redefine traditional design norms — seamlessly blending functionality with futuristic aesthetics.
With a growing list of accolades such as the 2024 Pensole x New Balance Certificate and repeated recognition at the Global Footwear Awards, Winkler’s resume is as impressive as his creative output. His roles vary from being a student ambassador for Gravity Sketch to a scholarship recipient from fashion-forward brands such as PacSun and Dick’s Sporting Goods, showcasing his widespread recognition and support within the fashion industry.
In this Q&A, Jack provides insights into the motivations behind founding his innovative brand, Spore, the advanced technologies he employs to enhance sustainability, and his experiences that range from collaborative projects at SCAD to working hands-on with industry giants like Sam Edelman.
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Fairchild Studio: What was the impetus behind founding Spore?
Jack Winkler: The initial drive to create and learn was what sparked the founding of Spore. I started concepting in high school a small streetwear brand to gain experience. Once at SCAD, I truly was able to expand my focus to build my streetwear brand to include footwear and accessories. From that point, Spore evolved into an umbrella that encapsulates all my work, reflecting my aesthetic and design philosophy. The metaphor behind “Spore” is rooted in the idea that life is the force of interconnectedness across space and time, the glue that holds our galaxies together. With that concept in mind, I create objects that are timeless, designed for both the present and the future.
Fairchild Studio: Can you describe the technology behind the construction and what makes it a more sustainable process?
J.W.: Definitely, the process begins by using 3D scanning technology on your phone to create a precise digital model of your foot. This is the same scanning process as scanning one’s face in their phone for facial recognition. This digital last allows us to print a design that is custom-tailored to your foot shape, with zero wasted material. The shoes are printed using a durable thermoplastic material, which is more resilient than traditional foams and rubbers, extending the lifespan of each pair. Additionally, this thermoplastic is fully recyclable, meaning old pairs can be infinitely recycled into new ones, making the entire process more sustainable.
Fairchild Studio: How does the fit technology work, and why is fit so important for athletes and active lifestyles?
J.W.: Custom-fitted footwear, designed specifically for the shape of your foot, allows for more natural movement. A century ago, shoes were typically customized to match your foot width, but today, most shoes follow a standardized sizing model due to supply chain efficiency and production costs. Custom fit is not only more comfortable, but it also enhances performance by allowing you to engage all your muscles effectively while still providing proper support.
Fairchild Studio: Where do your design inspirations come from? What else inspires you?
J.W.: My design inspirations come from several different industries, from action figure manufacturing, video game creature design, to practical effects. These unique influences help me expand and enrich my creative palette. Science fiction, classic movies, and animation also play a significant role in shaping my ideas. Beyond man made things, I often turn to nature itself, even referencing old biology and paleontology textbooks, to generate fresh, original concepts by blending different elements. I believe in looking to the past to stay relevant in the future, creating a sense of nostalgia for what’s to come in my work. In today’s world of social media and AI, where convergent creativity is common, there’s immense value in developing a unique style and perspective through distinctive research and references.
Fairchild Studio: What it like to work at the legendary Sam Edelman?
J.W.: Working with Sam Edelman on this special project through SCADpro, the university’s collaborative design studio was an incredible experience. Collaborating across teams with my peers from not only accessory and sneaker design, but industrial design, fashion marketing and management, design management, and photography to fully design a collection of sneakers that were then exclusively launched at Nordstrom was a dream come true. Bringing our collective efforts to market at Nordstrom was highly rewarding. Sam and Libby Edelman are visionaries and provided tremendous mentorship throughout the project, but also offered such meaningful insights into navigating the industry, which has greatly helped my understanding of the business as I launch my own collection.
Fairchild Studio: What was your experience like at SCAD?
J.W.: My time at SCAD was an incredible learning experience and I am so grateful for the guidance and mentorship of my professors, and opportunities that were available to me as a student. I loved studying accessory design because for me, it felt like a hybrid of industrial design and fashion design, which made it super interesting. The first couple of years were all about learning traditional techniques like pattern-making and crafting heritage cobbler leather styles, while incorporating digital tools like 3D printing into our process. This mix of hands-on skills and modern tech gave me a strong foundation to navigate the industry after graduation. The connections I made and the opportunities provided were invaluable, but the biggest takeaway was the value of collaboration.
Fairchild Studio: Who were your mentors at SCAD and what were some of the key learnings?
J.W.: Michael Mack, Quentin Williams, and Andrew Fionda were three professors and mentors I’m incredibly grateful to have worked with at SCAD. Professor Mack provided limitless wisdom and motivation for navigating the industry, always pushing our skills to the next level. Likewise, Quentin Williams brought a combination of work ethic and industry insights, which have been crucial to my growth in my current career chapter. Both Mack and Williams are SCAD alumni, hearing about their journeys and professional success made their guidance even more impactful. Andrew Fionda supported me from my early days in the Fashion department, he pushed me to apply to every design competition possible and to never give up. I am so grateful for the unwavering support from my professors.
Fairchild Studio: How do you see your brand evolving?
J.W.: I envision Spore evolving into a comprehensive lifestyle brand. Building upon the success of the shoe that is currently on market, moving forward I’m focused on expanding Spore’s offerings with products that truly reflect a lifestyle brand. My goal is to create a cohesive world around Spore, incorporating elements of furniture, homeware, and other unique design categories to fully immerse our customers in the brand’s narrative.
Fairchild Studio: What’s next for you?
J.W.: I’ve accepted a position at FCTRY Lab as a 3D Modeler and Footwear Designer. On my own time, I will continue to expand Spore as a label. However, I’m extremely excited to work with Omar Bailey and the amazing creative team he’s built.
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Introduction to Computational Design. #GSD6338 is an introductory course on Computational Design, with particular focus on architecture, landscape and urbanism. In this course, we will understand "Computational Design" as the set of methods borrowed from fields such as computer science, mathematics and geometry, applied to solving design problems.
M.S. Computational Design Practices - Columbia GSAPP
PhD Design and Computation. Can Be Repeated for Credit. Yes. 4.580. Inquiry into Computation and Design. Explores the varied nature, history and practice of computation in design through lectures, readings, small projects, discussions, and guest visits by Computation group faculty and others. Topics may vary from year to year.
About this degree. Architectural Space & Computation MPhil/PhD is associated with the world-renowned Space Syntax Laboratory.With its empirical base, this programme is aimed at researchers seeking to advance knowledge by studying the relations between spatial patterns and social outcomes, and between architectural design knowledge and computation.
The PhD program in Design and Computation is broadly conceived around computational ideas and digital technologies as they pertain to the understanding, description, generation, and construction of architectural form. Research topics include the mathematical foundations of shape and shape representation; generative tools for design synthesis ...
MA & PhD in Architecture. UCLA Architecture and Urban Design offers two academic graduate degrees: the Master of Arts in Architecture (MA) and Doctor of Philosophy in Architecture (PhD). The programs produce students whose scholarship aims to provoke and operate within architecture's public, professional, and scholarly constituencies.
279-399. 1. A program of study comprising subjects in the selected core areas and the computational concentration must be developed in consultation with the student's doctoral thesis committee and approved by the CCSE graduate officer. Programs Offered by CCSE in Conjunction with Select Departments in the Schools of Engineering and Science.
Parametric Design. The School's technology programs coalesce in the context of design work, through studio, workshop, and professional applications. The computational design program focuses on how digital technologies impact the design process, production, and the resulting forms and products. Aspects of computational design are explored ...
The master's degree in Computation for Design and Optimization (CDO) is an interdisciplinary program designed to prepare tomorrow's engineers and scientists in advanced computational methods and applications. The program provides a strong foundation in computational approaches to the design and operation of complex engineered and scientific ...
The PhD in computational media is a 60-credit hour program. Program requirements are divided equally between coursework (30 credits, 15 of which are computational media core) and research (30 credits). Individual paths could be as diverse as the study and design of human-computer interfaces, games and game engines, narratives, artificial ...
All faculty hold Ph.D.s in their field. Computer Science faculty members Jia Song and Jim Alves-Foss. The University of Idaho's Doctor of Philosophy in Computer Science develops the student's critical thinking, investigatory and expository skills and teaches them the foundations of computer science theory and application, and the interaction ...
The Graduate Council will establish the requirements for the second degree. Credit Limitations for Transfer, Correspondence Study, and Non-degree. For the Ph.D. and Ed.D. degrees, a student must complete at least 39 of the 78 required credits at the University of Idaho (U of I) while matriculated in the College of Graduate Studies.
Join Our Exciting Funded PhD Project: Computational Modelling of Seals for High-Pressure, Low-Carbon Storage Technologies - Help Shape the Future of Clean Energy Storage! ... They design, manufacture, install, and support sealing for all kinds of rotating machines for all industries. You would be working with the research centre in Manchester ...
Computational technologies and mathematical modeling of biological systems by Prof. Bocharov, 64 lecture hours, 6th semester. Contemporary computational technologies by Prof. Vassilevski, 32 seminar hours, 6th semester. Variational projection methods by Prof. Vassilevski, 68 lecture hours, 7th and 8th semesters.
A recent graduate of SCAD, Jack Winkler earned his BFA in Accessory Design with a focus on footwear, propelling him into the creation of groundbreaking projects such as Spore, the world's first ...
Design challenges in reducing the size, weight, and off-axis aberrations of projection lenses often pose obstacles to the miniaturization of augmented reality (AR) devices like glasses. Here, we present a meta/refractive hybrid lenses (MRL)-based AR projection display illuminated with a MicroLED. The compact system features commercial ability with an entrance pupil diameter of 3.2 mm and a ...