\setcounter{numTAs}{1} \setcounter{totalSections}{1} \def\secNum{{"001",""}} \def\tenSchFileName{{"",""}} \def\classTime{{"M 1815-2045",""}} \def\classRm{{"DRSDCK-B62",""}} \def\classLive{{"",""}} \def\classInstructor{{"Xun Jiao",""}} \def\classInstrContact{{"https://www1.villanova.edu/university/engineering/academic-programs/departments/electrical-computer/directory.html",""}} \def\classInstrOffHrs{{"Mon from 3pm - 5pm or by Appointment",""}} \def\classInstrLive{{"",""}} \def\TA{{{"",""},{""}}} \def\TAEmail{{{"",""},{""}}} \def\TAOffHrs{{{"",""},{""}}} \def\TARoom{{{"",""},{""}}} \newcommand\semester{Spring 2026} \newcommand\rsemester{202630} \newcommand\courseNum{ECE 5400} \newcommand\courseName{Applied Machine Learning} \newcommand\courseCoordinator{Xun Jiao } \newcommand\credits{3} \newcommand\contactHrs{3} \newcommand\lecture{1} \newcommand\lab{0} \newcommand\undergradCourse{1} \newcommand\isFreshmanCourse{0} \newcommand\isCustomElecPolicy{0} \newcommand\AIPolicyExists{0} \newcommand\isClassLive{0} \newcommand\isLabLive{0} \newcommand\meetingMiscExists{0} \newcommand\isClassInstrLive{0} \newcommand\isLabInstrLive{0} \newcommand\instrMiscExists{0} \newcommand\hasTARoom{0} \newcommand\meetingDesc{} \newcommand\meetingMisc{Special notes on meeting info go here, if specified} \newcommand\instructorMisc{Special notes on instructor(s), TA(s) go here, if specified} \newcommand\textBookExists{0} \newcommand\textBookReqd{0} \newcommand\textBookMiscExists{1} \newcommand\referencesExist{0} \newcommand\txtBkAuthExists{0} \newcommand\txtBkPublExists{0} \newcommand\txtBkYrExists{0} \newcommand\txtBkISBNExists{0} \newcommand\textBookTitle{} \newcommand\textBookAuth{} \newcommand\textBookPub{} \newcommand\textBookYr{} \newcommand\textBookISBN{} \newcommand\supplMaterials{} \newcommand\refPapers{References go here, if specified} \newcommand\textBookMisc{Special notes on textbook(s) go here, if specified} \newcommand\catalogDesc{Introduction to machine learning models and algorithms; Software techniques such as compression and pruning to enable efficient processing of neural networks. Hardware accelerators for training and inference process. Hardware/software optimization for using machine learning to solve practical problems.} \newcommand\preReqs{None } \newcommand\coReqs{None } \newcommand\coreRequirement{Technical Elective} \newcommand\courseExpectation{Learn how to develop machine learning models; learn the theoretical aspects of various machine learning algorithms.} \newcommand\ABETOutOneA{1} \newcommand\ABETOutOneB{1} \newcommand\ABETOutTwoA{0} \newcommand\ABETOutTwoB{0} \newcommand\ABETOutTwoC{0} \newcommand\ABETOutTwoD{0} \newcommand\ABETOutThree{0} \newcommand\ABETOutFourA{0} \newcommand\ABETOutFourB{0} \newcommand\ABETOutFourC{0} \newcommand\ABETOutFive{0} \newcommand\ABETOutSixA{0} \newcommand\ABETOutSixB{0} \newcommand\ABETOutSevenA{0} \newcommand\ABETOutSevenB{0} \newcommand\covTopics{\item Logistic Regression \item Support Vector Machine \item Decision Tree \item Applications on real-world datasets \item Neural Networks} \newcommand\isScheduleExternal{0} \newcommand\isScheduleCommon{1} \newcommand\scheduleRows{17} \newcommand\scheduleCols{2} \newcommand\scheduleHeight{1} \newcommand\schedule{\begin{table}[h!] \centering \caption*{Tentative Schedule for \textbf{All Sections}} \vspace{0.05in} {\renewcommand{\arraystretch}{1.5} \small \begin{tabularx}{\linewidth}{c|l} \toprule \large \textbf{Week or Date} & \large \textbf{Topics or whatever}\\ \midrule \midrule 1 & Introduction to ML\\ 2 & ML Tasks\\ 3 & ML Evaluation\\ 4 & Linear Regression\\ 5 & Logistic Regression\\ 6 & Decision Tree\\ 7 & Random Forest\\ 8 & Spring Break\\ 9 & Multi-Layer Perceptron\\ 10 & Convolutional Neural Networks\\ 11 & Convolutional Neural Networks\\ 12 & Recurrent Neural Networks\\ 13 & Reinforcement Learning\\ 14 & Easter Break\\ 15 & Deep Learning\\ 16 & Final Project\\ \bottomrule \end{tabularx} } \end{table}} \newcommand\gradingPolicy{Assignments - 40\% \\ Midterm - 30\% \\ Final - 30\% \\ \\ Letter grade scale: A(94–100), A–(90–93), B+(87–89), B(83–86), B–(80–82), C+(77–79), C(73–76), C–(70–72), D+(67–69), D(63–66), D–(60–62), F(<60) \\ Late submissions will be assessed a 10\% penalty per day.} \newcommand\HWandLabPolicy{} \newcommand\AIPolicy{\textcolor{red}{ Since you opted for an AI Policy, you should edit this part, choosing one of the following statements, modifying as desired:\\ \\ The use of AI-generated content is not permitted in this course. Its use will result in an academic integrity violation and a zero on the assignment.\\ \\ OR\\ \\ The use of AI-generated content is allowed in this course.\\ \\ OR\\ \\ The use of AI-generated content is permitted as follows: (a) for generating a first draft or (b) for generating an outline or (c) for generating XXX.\\ \\ AND, if AI is allowed:\\ \\ Even if you have significantly edited AI-generated material, you must identify the AI tool used to assist in generating your work. You are required to provide the name of the tool, date used, and prompts used to generate the output. As you may be required to submit the original AI output, you must keep a copy of the original output and provide it when requested. If questions arise about the authorship of submitted work, you are responsible for authenticating your authorship. You should save evidence of your authorial process, such as drafts, notes, version histories, and complete transcripts of AI assistance. }} \newcommand\AttendancePolicy{\textcolor{red}{State here if attendance is mandatory or not for your class. Provide a description of what it means to be present (e.g. seated and ready to go, or just in the room; be explicit).}} \newcommand\ElectronicsPolicy{\textcolor{red}{Since you opted for a customize electronics policy, you should edit this part. Your policy should address your general stance on recording of class sessions and the circumstances under which recording will be allowed or prohibited. If you generally prohibit recording, yet allow recording of certain classes for some reason, then you should notify all students that those classes will be recorded. If recording is permitted as an ADA accommodation for a student, you obviously should not identify that student(s).}}