Examples include microphones the remove speech but leave other acoustic information for audio classification and cameras that use onboard GPUs to remove and replace images of people robustly.Expected research delivery mode: In-person, CSE Project #3: Hybrid 60GHz Radar and Computer Vision SensingFaculty Mentor: Alanson Sample[apsample @ umich.edu]Prerequisites:Some experience in ONE of the following is preferred: Computer Vision, Machine Learning, Radar, Software Defined Radios.Description:Computer vision offers a high-fidelity means for devices to sense and understand the world around them. Dr. Liu and collaborators received NIH R01 grant . In addition to completion of the Dearborn Discovery Core, the following courses are required to earn a B.S. This project will explore and design natural language processing and machine learning algorithms to detect media bias. Seminar topics discussed include: computing ethics and professional practice. The particular language changes from term to term. Assistant Professor, Electrical Engineering & Computer Science. Students will learn to build up deep learning models and review the state-of-the-art deep learning literature to solve real-world computational problems. Research Interests: Computer vision and machine learning, with a particular focus on scene understanding. Morris Wellman Faculty Development Professor, Associate Professor, Electrical Engineering and Computer Science. A candidate for the degree of BS in CIS is required to select one of four concentrations: Computer Science, Information Systems, Game Design, or Artificial Intelligence. Familiarity with Unity a plus (or willingness to learn Unity).Description:Medical procedures such as heart resuscitation are often complex and require intensive decision making in highly stressful contexts. Research Interests: Graph algorithms, data structures, sketching, game theory, and combinatorics. To conduct research to develop new methods, architectures, and algorithms in order to solve complex problems, then invent the future by developing the vast array of applications that operate within these frameworks. (OC). game engines). Research Professor Emeritus, Electrical Engineering and Computer Science, Lecturer, Electrical Engineering and Computer Science, Research Interests: Experimental distributed systems. (F,W,S), CIS4961 Design Seminar for SE I 2 Credit Hours, Software engineering students participate in the design and implementation of a major software project. Prerequisite(s): (CIS200 or ECE270) and (CIS310* or ECE370* or ECE372*), Restriction(s): Cannot enroll if Class is FreshmanCan enroll if Level is Undergraduate, CIS390 Topics in Computer Science 1 to 3 Credit Hours. Restriction(s): Cannot enroll if College is Education, Health, and Human Services or Business, CIS449 Intro to Software Security 3 Credit Hours, This course provides a broad-spectrum introduction to the fundamental principles of software security, as well as the approaches that allow understanding common software practices, analyzing programs for vulnerabilities, and methods for developing secure software systems. Seminar topics discussed include: computing ethics and professional practice in software engineering. I learned how to be self-sufficient and resourceful, building scripts and reporting tools from the ground up. The Worlds Smallest Computer, developed by Prof. David Blaauw, helped yield new insights into the survival of a native snail important to Tahitian culture and ecology and to biologists studying evolution, while proving the viability of similar studies of very small animals including insects. Students looking for a longer term project continuing during the school year are strongly encouraged to apply.Expected research delivery mode: Too soon to say. CSE Project #1:Ubiquitous Health SensingFaculty Mentor:Alanson Sample[apsample @ umich.edu]Prerequisites:Experience with embedded systems, computer vision, or machine learning.Description:Effective means of unobtrusive and continuous monitoring of ones health could transform how we detect and treat illnesses. (Current and admitted UM students only. Select one laboratory science sequence from the following: Four additional science credits; must be a different subject than the two course sequence prerequisite: Any 100 to 400 level course with no more than 6 credits, as needed to get a minimum of 120 credits for graduation. (F,W), Prerequisite(s): ((CIS350 or CIS3501 or IMSE350) or (ECE370 and MATH276) or (ECE370 and ECE276)) and (COMP270 or COMP106 or COMP220 or Composition Placement Score with a score of 40 or Composition Placement Score with a score of 107), CIS376 Software Engineering II 4 Credit Hours, This course continues the formal development of the software engineering material begun in CIS375. Research Interests: Natural language processing, computational social sciences, multimodal tracking and understanding of human behavior. During this course, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision. Morris Wellman Faculty Development Professor of Computer Science and Engineering, Associate Professor, Electrical Engineering & Computer Science. However, when traders have varying degrees of wealth, are markets egalitarian? CIS490 Advanced Topics 1 to 3 Credit Hours. Research Interests: Optimization algorithms, data structures, parallel and distributed computing, graph theory, and combinatorics. You can afford to be picky; if you go to one mass meeting and you dont like it, there are hundreds of other groups to try tomorrow. A course designed to offer selected topics in an area of computer science. Look at some of the ways ECE and other University of Michigan researchers are using computer vision for real-world applications. Be aware of whats going on around you. Assistant Professor, Industrial & Operations Engineering, Affiliate Faculty, Electrical Engineering & Computer Science, Professor, Computational Medicine and Bioinformatics, Research Interests: Computer Architecture; Program Analysis; Dependable Systems; Programmer Productivity; Parallel Computing, Associate Professor (courtesy), Electrical Engineering & Computer Science, Computer Science & Engineering. This course introduces students to basic concepts and methods of artificial intelligence from a computer science perspective. (F,W,S), Prerequisite(s): CIS375 and CIS3200 and (STAT325 or IMSE317) and CIS310 and (CIS427 or CIS450), CIS4982 Design Seminar for CIS-DS II 2 Credit Hours, Dual Degree CIS and Data Science students participate in the design and implementation of a major software project involving data science. The request will include a description of the proposed research project. The goal in this years SURE project is to similarly produce cutting edge research.Expected research delivery mode: Hybrid, CSE Project #5: Hazel Notebooks: Building a Better JupyterFaculty Mentor: Cyrus Omar[comar @ umich.edu]Prerequisites:EECS 490 or equivalent is preferred, but not required.Description:The popular Jupyter lab notebook environment is powerful, but it has a problem: results stored in a notebook are not reproducible, because the user can execute cells out of order. LEO Lecturer III, Electrical Engineering & Computer Science, Visiting Assistant Professor, Computer Science & Engineering, Assistant Professor (effective Aug. 28, 2023), Electrical Engineering & Computer Science, Associate Professor (courtesy), Electrical Engineering & Computer Science, Lecturer III, Electrical Engineering & Computer Science, Research Interests: Natural language processing, data science, machine learning, Adjunct Associate Professor, Electrical Engineering and Computer Science, Associate Director of the Michigan Institute for Data Science (MIDAS). Approval of Internship Coordinator required. One of the most tangible transformations has been in the on-demand economy, for services such as grocery delivery, ride-hailing, and other last-mile services, where its advances have allowed a shift towards greater efficiency, through the use of AI-mediated platforms. However, existing smart devices rely on remote cloud services to process voice commands, analyze video, and perform recognition tasks. Leinweber Computer Science and Information Building , Leinweber Construction Impacts in Beyster Building , Resources for Student Support and Inclusion, Sequential Undergraduate/Graduate Studies, Connect with the Graduate Programs Office, Whats the Difference? (F,W,S), CIS375 Software Engineering I 4 Credit Hours, This course presents an in-depth treatment of the following software engineering topics: software engineering paradigms, requirements, specification, functional design, object-oriented design, user interface design, software verification and validation, and the maintenance and management of software engineering artifacts, as well as an introductory discussion of software reliability. (F,W), CIS479 Intro to Artificial Intel 3 Credit Hours. The course will consist of three lecture hours and one two-hour laboratory. Topics include security and privacy challenges due to data collection and analytics, technologies and strategies for data security and privacy (access control mechanism, integrity policy, cryptography and encryption, notice and consent, anonymization or de-identification, deletion and non-retention). Assistant Professor (courtesy), Electrical Engineering & Computer Science. Over time as the company grew, roles became more formalized. Some discussion of DirectX programming and Xbox game development is also included. What is current and popular may also lead to an opportunity to explore and get involved. The course introduces students in engineering and computer science to fundamentals of robotics technology, programming and their applications in industrial environment. Research Interests: I study visual perception from multiple perspectives: human vision, computer vision, robotic vision, and artistic vision. I built a system that can scale out to hundreds of compute nodes because its cool) of all the above, Operating Systems The intricacies of working computer software, Gaming for the Greater Good Scaling up ground-up developed code, building towards specific business requirements and goals, and communicating the value and worth of a project, Data Structures and Algorithms Writing efficient, vs. functional, programs. Computer Vision UMich 1 / 3 PhD students. (OC). Research Interests: Data mining, graph summarization and visualization, and applied machine learning. Research Interests: Vision and language, visual reasoning, and image generation. Research Interests: Mobile learning software development, tactile programming, methods for bringing technology into the classroom, and studying the effects of social networking and collaboration on learning. Research Interests: Computer system security; ultra-low power computing; healthcare safety. I also interned at GE Aviation (2015) and at AppFolio (2016). The developed tools will also be used for understanding fake news.Expected research delivery mode: Hybrid.
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