Faculty and student-driven research in ICS is supported through a variety of grants, gifts, and contracts from public and private institutions such as the State of California, the U.S. Department of Education, various U.S. defense agencies, the National Science Foundation, the National Institutes of Health, NASA, and various companies, including The Aerospace Corporation, Boeing, Disney, Experian, Google, IBM, Intel, Microsoft, Samsung, and Yahoo!
Honors at graduation, e.g., cum laude, magna cum laude, summa cum laude, are awarded to approximately the top 16 percent of the graduating seniors. A general criterion is that a student must have completed at least 72 units in residence at the University of California. The student’s cumulative record at the end of the final quarter is the basis for consideration of awarding Latin Honors. Other important factors are considered visit at .
Sarah, I’m also curious about your comment, “I’ve been told a few times that graduates from one school (CMU) are favored over grads from the other (UMSI) due to the more specifically HCI/technical nature of the program.”
I just signed up for the Bloc ux designer career track. I’ve looked at grad schools and just couldn’t justify the expense – I just want an affordable track faster than completely rudderless self-education. My current career is unrelated (banking/commercial real estate), but my undergrad was anthropology. When I graduated in the 90s, I wanted to develop educational websites for museums, but that was way before this whole UX thing exploded. I’m hoping I can land an internship/job as soon as I’m done. I have project management experience with my current job. Maybe that will be enough with an online apprenticeship and a few workable apps/pages? Fingers crossed!
At the end of the day, most hiring managers care about whether or not you can do the work. This seems to matter more than coursework and academic experience. As you research these programs, focus on how industry-ready you’ll be upon graduation.
The goal of image understanding is to extract useful semantic information from image data. Course covers low-level image and video processing techniques, feature descriptors, segmentation, objection recognition, and tracking.
Introduction to the process of human visual perception. Offers the physiological and psychophysical approach to understand vision, introducing concepts of perception of color, depth, movement. Examples of quantification and application of these models in computer vision, computer graphics, multimedia, HCI.
Neural network and deep learning from multiple perspectives. Theory of parallel distributed processing systems, algorithmic approaches for learning from data in various manners, applications to difficult problems in AI from computer vision, to natural language understanding, to bioinformatics and chemoinformatics.
Project course which provides working laboratory experience with construction and behavior of compilers and interpreters. Students build actual language processors and perform experiments which reveal their behaviors.
Introduction to wireless networking. The focus is on layers 2 and 3 of the OSI reference model, design, performance analysis, and protocols. Topics covered include: an introduction to wireless networking, digital cellular, next generation cellular, wireless LANs, and mobile IP.
Introduction to the theory of programming language processors covering lexical analysis, syntax analysis, semantic analysis, intermediate representations, code generation, optimization, interpretation, and run-time support.
Definition of parallel processing systems. Theory and application of arrays, trees, and hypercubes. Computational models, applications: sorting, integer arithmetic, matrix operations, Fast Fourier Transform, and others. Interconnection networks: a framework for the description, analysis, and construction of hypercube-derived networks.
Introduction to the design of databases and the use of database management systems (DBMS) for applications. Topics include entity-relationship modeling for design, relational data model, relational algebra, relational design theory, and Structured Query Language (SQL) programming.
Thank you very much for this excellent article, it does helps a lot!
I have a bachelor degree of Landscape Architecture, worked in the field in the past 2 years. I’ve always have a thought to build a new career path of UI/UX design since graduation, but I have no clue about how to start it, since I don’t have any background in computer science. Not sure in this situation, should I give up my current job and get myself into a Master-HCI program; or maybe take some web development and coding classes at local community collage or online courses, and start from there?