Mobile Computing CSE 535 - Fall 2008 Register Now Week-2-Computation-and-Extra-Practice-Quiz-Questions.pdf. Arizona State University . GPA 4.0 | Courses Taken :- Artificial Intelligence, Data Mining, Mobile computing, Statistical Machine Learning, Natural Language Processing, Data processing at Scale, Foundations of Algorithms . "Advancing Feature Selection Research - ASU Feature Selection Repository", TR-10-007, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ 85287, 2010. A take home final exam. Two assignments and an idea paper. Judicael Tombo student, designer, tutor. ↳ I am a Computer Scientist and a 1st year Ph.D. student at Arizona State University, co-advised by Dr. Baoxin Li and Dr. Teresa Wu on joint projects of ASU-Mayo Imaging Informatics Center (AMIIC). During my masters, I looked into problems at the intersection of visual computing and mobile systems, designing novel system and algorithms to improve mobile mixed reality experiences. There were quizzes every two weeks. The Master of Computer Science offered online (MCS) is an advanced degree program offered by Arizona State University and hosted on Coursera’s platform, that is targeted at students with an undergraduate education in computing and related disciplines who can best profit from further breadth and background in computer science from a scientific and engineering discipline. Scalable VLSI Architectures for Sparse Approximation. CSE 530 Embedded Operating System Internals. A big project. Aug 2019 - May 2021 (Expected) Master of Science in Computer Science Prof. Ayan Banerjee. Accessibility and distance computing. Yixing Li, Fengbo Ren. Each quiz was worth around 2.5 points. A more advanced version will be provided in the future to use the shortest path algorithm for computing end-to-end driving or multimodal travelling distance and costs. Arizona State University GPA: 4.11/4 Course Work: Algorithms, Mobile Computing(Android), Data Mining, Data Visualization, Cloud Computing, Statistical Machine Learning Created by Rainer Stropek / @rstropekRainer Stropek / @rstropek I'm a recent Computer Science undergraduate from Arizona State University. His lecture videos were just so long. A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing Yixing Li, Fengbo Ren Arizona State University Arizona State University. I took the hybrid Thursday classes. Lei Tang, Xufei Wang, and Huan Liu. 5 pages. Fengbo Ren. I graduated with a Master’s degree in Computer Science from Arizona State University, co-advised by Prof. Robert LiKamWa and Prof. Yezhou Yang. PSCLab@GitHub ; Education ... A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing. I didn't really learn a lot. CSE 535 (Mobile computing) Level of difficulty: 3/5. Mobile Computing Course Material 2018/19. In the current version, accessibility is measured by zone-to-zone straight-line distance according to zone centroid coordinates. I have a strong passion for web development, mobile computing and human-computer interaction. Course Goals: The course provides the opportunities for students to acquire hands-on learning experience and in-depth knowledge of Linux kernel and RTOS.