All ECE Faculty | Electrical & Computer Engineering at Michigan Research Interests: Computer systems design, low power computing, parallel processing, computer-aided design, impact of technology. CIS297 Intro to C Sharp 3 Credit Hours, This course provides an introduction to the C# programming language and the .NET Framework for the development of Windows game applications. Prerequisite(s): (MATH115 or Mathematics Placement with a score of 116) and (CIS200 or IMSE 200) and CIS275, CIS316 Prac. Do you have questions youd like answered? The Computer Science (CS) concentration strengthens your knowledge of how computer systems work and prepares you for positions in embedded and systems programming, graphics and visualization, networks, scientific programming, and web technology, among others. Specialized interests include on-chip interconnection networks, three-dimensional IC design, and multi-core memory systems. Assistant Professor (effective January 1, 2024), Electrical Engineering & Computer Science. The Game Design (GD) concentration is tailor-made for those whose dreams include careers in game programming, user experience design and augmented reality applications. Areas in which a student, through the use of technical and free electives and in consultation with their advisor, could decide to focus. The course focuses on security and privacy issues in the area of wireless networks and mobile computing such as cellular networks, wireless LANs, connected vehicles, smart and mobile devices, sensors and sensor networks, IoT, etc. It will develop computational models that integrate language and dialogue processing to allow humans and agents to mediate disparities in their representations and enable collaborative language grounding.Expected research delivery mode: Too soon to say. Get involved in a student organization that you really, really like, in your freshman year. 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. Research Interests: Audio-visual modeling of human behavior focusing on emotion. Students who intend to continue beyond summer and perform long-term research are welcome.Expected research delivery mode: Too soon to say. The course will cover three major areas: software attacks and defenses, program analysis, and software verification. Lecturer I, Electrical Engineering & Computer Science. I continued exploring my music background (did the Michigan Marching Band, Campus Bands, etc.) Even if these smart devices record only ML features to send to the cloud, private data still leaves the home for cloud-based processing and is stored for an indeterminate amount of time. (F). 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. My internships gave me real world experience on what it would be like in a computer science career and practice with projects outside of schoolwork. (OC). I will be graduating in . Seminar topics discussed include: computing ethics and professional practice in data science. Lecturer II, Electrical Engineering and Computer Science, Adjunct Associate Professor, Electrical Engineering & Computer Science, John Derby Evans Professor of Information. This course provides in-depth coverage of advanced infrastructures for the development of next-generation information systems/ Topics include information systems, data integration, XML, web services, ontologies, workflow, data warehousing, and data mining. ECE faculty and students are powering innovation by revolutionizing technologies to improve healthcare, the environment, sustainability, security, energy, transportation and space. 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. Claude E. Shannon Professor of Engineering Science. Prerequisite(s): (CIS350 or IMSE350 or CIS3501) or (ECE370 and MATH276) or (ECE370 and ECE276), CIS405 Algorithm Analysis & Design 3 Credit Hours. University of Michigan Jun 2011 - Mar 2012 10 months. Design of both hardware and software techniques to optimize the execution of emerging data-intensive workloads. Writing and Communication (GEWO) 6 Credits, Upper-Level Writing Intensive (GEWI) 3 Credits, Quantitative Thinking and Problem Solving (GEQT) 3 Credits, Critical and Creative Thinking (GECC) 3 Credits, Social and Behavioral Analysis (GESB) 9 Credits, Humanities and the Arts (GEHA) 6 Credits. 2021-2022 SURE Research Projects in CSE. It did made me wish I had taken a business class or two while at the University, but there were training opportunities to fill in those gaps in knowledge. Students will delve into selected deep learning topics, discussing a range of model architectures such as CNN (convolutional neural network), RNN (recurrent neural network), LSTM (long short-term memory network), GAN (generative adversarial network), etc., and commonly used model optimizers. CIS493 Independent Study I 1 to 4 Credit Hours. Topics covered include personal software process, team software process, formal methods, security, software architecture, software quality assurance, software fault tolerance, the evaluation of the effectiveness of human computer interaction and software reliability. Student works with an industrial sponsor in the area of CIS. (F, W, S), Prerequisite(s): CIS1501 and MATH115 or MATH113 or Mathematics Placement with a score of 116, CIS205 Comp Programming for Engineers 3 Credit Hours. The learning outcome for students will be hands-on experience in interdisciplinary research with connections to Machine Learning and Computational Economics.Expected research delivery mode: Too soon to say. World's 100+ best Computer Vision universities [Rankings] - EduRank.org This is an introduction to computer vision. the Ph.D., is primarily intended for students desiring a career in research and/or collegiate teaching. Various forms of software will be considered in this class including high level applications and system software. Prerequisite(s): CIS310 and (CIS350 or CIS3501 or IMSE350 or (ECE370 and MATH276) or (ECE370 and ECE276)) and IMSE317*, CIS451 Computer Graphics 3 Credit Hours. CSE Project #11: Natural Language Processing for Understanding Media Bias and Fake NewsFaculty Mentor: Lu Wang[wangluxy @ umich.edu]Prerequisites:EECS 445 (Machine Learning), probability and statistics, experience with natural language processing problems, proficient in Python.Description:News media play a vast role not just in supplying information, but in selecting, crafting, and biasing that information to achieve both nonpartisan and partisan goals. I received my PhD from Stanford University, advised by, PixelSynth: Generating a 3D-Consistent Experience from a Single Image, UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering, CASTing Your Model: Learning to Localize Improves Self-Supervised Representations, VirTex: Learning Visual Representations from Textual Annotations, Accelerating 3D Deep Learning with PyTorch3D, Temporal Reasoning via Audio Question Answering, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020, SynSin: End-to-end View Synthesis from a Single Image, PHYRE: A New Benchmark for Physical Reasoning, On Network Design Spaces for Visual Recognition, Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks, Inferring and Executing Programs for Visual Reasoning, Characterizing and Improving Stability in Neural Style Transfer, A Hierarchical Approach for Generating Descriptive Image Paragraphs, Visual Genome: Connecting Language and Vision, Perceptual Losses for Real-Time Style Transfer and Super-Resolution, DenseCap: Fully Convolutional Localization Networks for Dense Captioning, Visualizing and Understanding Recurrent Networks, Love Thy Neighbors: Image Annotation by Exploiting Image Metadata. We use a proprietary database with an index of 44,909,300 scientific publications and 1,237,541,960 citations to rank universities across 246 research topics. Grades will be granted on a Pass/Fail (S/E) basis exclusively. We will solve the reproducibility problem by developing a mechanism conjectured in a recent paper in our group: fill-and-resume.Expected research delivery mode: Too soon to say, CSE Project #6: Hazel: A Live Functional Programming EnvironmentFaculty Mentor: Cyrus Omar[comar @ umich.edu]Prerequisites:EECS 490 or equivalent is preferred, but not required.Description:Hazel (hazel.org) is a live functional programming environment that is able to typecheck, transform and even execute incomplete programs, i.e. Lecture 1: Introduction. Course Description. (OC). Anil K. Jain - Michigan State University After my junior year, I interned at JP Morgan Chase as a Software Engineering intern working in Credit Risk Management Technology. In all my projects I made sure to understand truly what sort of impact it could have; it makes me proud to be an engineer. (Current and admitted UM students only. Research Interests: Reinforcement Learning, Machine Learning, Computational Game Theory, Adaptive Human Computer Interaction. The curriculum is modeled on the recommendations of the two main professional computing societies, the Association of Computing Machinery (ACM) and the Institute for Electrical and Electronic Engineering (IEEE). The architecture of computer systems and associated software. Students must elect different topics to take both CIS390 and CIS391. The CIS chair will review the proposal with faculty members to ascertain availability of relevant faculty supervision and to establish appropriate credit. Topics covered include pointers, templates, and inheritance. Lecture 2: Image Classification. HACKS: Our Values | Computer Science and Engineering at Michigan Research Interests: Cross-layer systems architectures for emerging applications, datacenter and warehouse-scale computer architecture, and hardware / software co-design. 3 Credit Hours, Full Title: Practical Aspects of Computer Security Research Interests: Finding ways for robots to sense and understand their environment while coping with uncertainty and ambiguity, multi-autonomous systems. These goals are evaluated through the assignments, quizzes and exams. (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 goal of the HEATLab is to develop techniques that augment humans own cognitive and physical abilities to create integrated human-agent teams that are more capable than their individual counterparts. Research Interests: Multi-Agent Systems,Computational Economics, Algorithmic Game Theory and Mechanism Design, Fair Allocation, Collective Forecasting. Student works with industrial sponsor in area of CIS. EECS undergraduate and graduate degree programs are considered among the best in the country. Prerequisite(s): (CIS350 or CIS3501 or IMSE350 or (ECE370 and MATH276) or (ECE370 and ECE276)) and (IMSE317 or STAT325), CIS481 Computational Learning 3 Credit Hours, This course covers basic computational aspects of learning to perform a task and improve with experience. And from that I landed in a role where I now design both together the applications and the backend. 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. I also made sure to have time for music, so I played in the campus orchestra. (F,W,S). This new grad program will allow me to become well prepared to join Googles fastest growing business, Cloud. Research Interests: Computer architecture, and its interaction with software systems and device/VLSI technologies.
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