CISE Graduate Blog

  Modeling and Computing with Geometry   Class Periods:  Thursday 4-5 period, Tuesday 4 period Location: Academic Term:   Spring 2024   Instructor: Prof Jorg Peters jorggato@ufl.edu 352 392-1200 Office Hours:   CSE 328 TBD  Teaching Assistants: Please contact through the Canvas website None Course Description Introduction to modeling and shaping curved smooth geometry and computing on the geometry.  Topics include curves, surfaces and volumetric representations. The course leverages numerical computing techniques and 3D computer graphics programming. The course combines lecture and seminar elements: towards the end of the course, students give presentations of classic (or by mutual consent recent)  literature on Modeling and Computing with Geometry.   Course Pre-Requisites / Co-Requisites Calculus in several variables, Programming in Matlab or OpenGL Course Objectives Students will be able to efficiently represent curved geometry (curves, surface

  https://drive.google.com/file/d/1MAnTMiAf_JYDGCRkhO2uHd-ZLNpUHpSK/view?usp=sharing

Alex graduated from UF’s Warrington College of Business in 2014 with a degree in Marketing. His tech career began at a digital marketing agency post-graduation, where he discovered HTML, CSS, and JavaScript, igniting a passion for software development.  Soon afterwards he enrolled in a coding bootcamp to grow his skills, eventually transitioning to a junior web developer role at a startup in Orlando. While working, he pursued postgraduate courses and, in 2022, earned a Master’s in Computer Science from the University of Texas at Austin.  During his studies, he interned at NASA twice, both working in app development for the Human Health and Performance Directorate at Johnson Space Center in Houston, Texas.  Now a solutions architect at Tata Consultancy Services, he leads client engagement, solution design, and architectural development of IT solutions for Fortune 500 companies spanning financial services, healthcare, energy, and manufacturing.  Despite his Texas ties, Alex remai

 Dr Sarder has a thesis project available for an MS student. The project will be to develop a machine learning model for the following Kaggle challenge: HuBMAP - Hacking the Kidney | Kaggle .   Although the competition is now closed, Dr. Sarder’s team has a leaderboard available so that the student can compare the algorithms and pipelines they build with the toppers of the Kaggle competition.   Under the direction of Dr. Sarder, the Computational Microscopy Imaging Lab has developed a pipeline for this challenge; students can choose to build on top of it or build from scratch. Dr. Sarder (Associate Professor) and Dr. Anindya Paul (Research Scientist with the CMI Lab) will act as technical mentors, code reviewers, and assist with data analysis.   In addition to a successful thesis, a secondary project outcome will be a short conference paper.   Interested students should send their CV and a copy of their transcripts to the lab project manager, Jessica Kirwan at jessica.kirwan@

  CIS4930/CIS6930    3D Audio  (cotaught) Kyla McMullen Description Students will understand the role of audio in human-computer interaction, the physiological and computational aspects of rendering accurate spatial audio, the tradeoffs when designing 3D audio applications. Students will develop a 3D audio system, learn, and discuss research trends, and hone presentation and writing skills, as evidenced through project milestones.

  CIS6930  Data Engineering Christan Grant GRADUATE STUDENTS- Description Data are the fundamental units in Artificial Intelligence (AI) and Machine Learning (ML) systems. Effectively harnessing this data is the responsibility of software engineers and data scientists. In this course, we will survey the landscape of AI/ML systems to understand how data flows through the systems. We will look at the engineer's responsibilities for developing performant systems ethically and responsibly. Students will learn how to design, build, and evaluate data pipelines. We will cover the theoretical underpinnings of fairness and bias throughout data systems. Students will produce a comprehensive project using state-of-the-art systems that integrate best practices.

  CAI6108 – MACHINE LEARNING ENGINEERING is a regular course based largely on Dr. Bindschaedler’s  CIS6930 Applied ML special topics course

Looking for a fun and dynamic work environment?   The O’Connell Center is now hiring! Applications close at 11:59 pm on   October 29, 2023 .   Below is the link with the job description and more information on how to apply. **Link :   University of Florida - Details - Part-Time O'Connell Center Crew Member - OPS or Student Assistant (ufl.edu)   The Stephen C. O’Connell Center is a multipurpose arena that hosts a variety of events—including NCAA Division 1 sports, concerts, trade shows, speakers, commencement ceremonies, and so much more! We are looking for individuals over the age of 16 to join our exciting part-time staff and help make memorable events happen. Our crew members get to create their own schedule with a variety of different shifts in areas such as guest services, building conversion, and technical production (sound, lights, and video).  No prior experience is necessary, and there are opportunities for advancement!  

 CLASSIFICATION TITLE: Part-Time OPS Web Application Developer JOB DESCRIPTION: We are seeking a highly motivated and dedicated part-time Web Application Developer to join our team. This is a grant-funded OPS developer position at IFAS Information Technology. This individual will work with our development team on a grant-funded web application. The ideal candidate should possess technical skills in web application development. They should also be self-motivated to work on challenging projects and deliver quality results. REQUIREMENTS: Desire candidate must have development experience in Java and Eclipse IDE. Familiar with Java application server is helpful. ADVERTISED SALARY: $15.50/hr APPLICATION: Email your resume to xin@ufl.edu

 We will now offer CNT5517 Mobile Computing for Spring 2024 

**IMPORTANT REGISTRATION NEWS** --For MASTER STUDENTS-- This information can be found at the following URL-- https://www.cise.ufl.edu/academics/graduate/graduate-student-welcome/ FOR MASTER STUDENTS- PLEASE CONTACT Graduate Advising at – gadvisors@cise.ufl.edu   Students do not need to email us to register for classes-- If a CISE course is full- please be sure to email US – keep in mind, We answer all emails in the order that they are received. (The order in which the come to our in-box). Advance registration for the Spring 2024 semester will begin October 25, 2023. You will find the following helpful in completing the advance registration process. Before the start of the advance registration process, please log in to ONE.UF . You will need your GatorLink username and password.  If you forgot your GatorLink password, visit the UF Computing Help Desk at 132 HUB on campus and present a picture ID to have it reset, or call the UF Computing Help Desk at 352-392-4357. When calling, you