The World of Electrical Engineering

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Weekly Announcements

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 Good Morning EE Major Here are my hours for the week, https://ufl.instructure.com/calendar#view_name=month&view_start=2021-08-30 REMINDER!!!!! As of FALL 2021, the College of Engineering will not process the 15/7 Drop Rule. This policy is discontinued. Student Organization  Send me your announcements 48-72 hours prior to your meetings. Second-Year Townhall Meeting: Complete the Qualtrics for dates availability.  The Townhall will be available via Zoom: https://ufl.qualtrics.com/jfe/form/SV_dhEsxPIpMhfkQn4 Transfer Student Workshop: Complete the Qualtrics for possible dates to meet:    https://ufl.qualtrics.com/jfe/form/SV_bkL5DeSJBaU9B3g Have a Great Day!!! Nicole
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Mid-November updates

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 You may be directed to second window to connect to the links in the announcements Good Morning EE Majors, Here are my hours for the week;  https://ufl.instructure.com/calendar#view_name=month&view_start=2021-11-15 Updates & Reminders Last Day to DROP NOVEMBER 22, 2021 Step 1: Enter a request through ONE.UF SIDA (ONLY DROPS!! Step 2: Check with UF Financial Aid for how this drop will affect your Aid Package Step 3: Send an authorization email to Nicole ( ntyoung@ufl.edu )  with this information.  If you have questions, make sure you contact your Advisor: Subject: Fall 2021 Drop Verification Name: UFID: Course(s): Class number(s): Have you dropped a course in a prior semester? Yes or No Do you authorize me to drop your course: Yes or No Step 4: ECE Advisor will send an email when the course is dropped. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ECE and other Paperwork Deadlines and Uploads EE Majors Secure Pa...
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Difference between EEE3773 & EEE4773 from the Professors

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  Hi EE Majors -A brief overview of what topics are covered in each course EEE3773 –  Types of learning, evaluation metrics and goodness-of-fit measures, k-nearest neighbors, decision trees, random forests, Bootstrap sampling, Linear Classifiers (LDA, Perceptron, logistic regression), feature selection and feature extraction, experimental design and hyperparameter tuning, neural networks (MLP, architectures), Deep Learning (CNNs), scikit-learn library, PyTorch, Git and GitHub.   EEE4773 – Types of learning, Experimental Design, Curse of Dimensionality,  Maximum Likelihood Estimation, Maximum A Posteriori, Conjugate priors, probabilistic generative models, Naïve Bayes classifier, Mixture Model (Gaussian Mixture Model), Expectation-Maximization (EM) algorithm, evaluation metrics and goodness-of-fit measures, k-means clustering, k-nearest neighbors, Discriminative classification (LDA, Perceptron, logistic regression), Lagrange multipliers, hard-margin and soft-margin SV...
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