The semester starts on Jan 6th, 2020.
CIS 5930-03 Deep Learning and Applications
Date: Jan 6-Apr 24, 2020
Time: M/W 3:35-4:50PM
Location: Lov 0103
Instructor: Jiawei Zhang
Email: jzhang [AT] cs.fsu.edu
Office: 169 James Love Building
Office Hours: M/W 5:00-6:00PM
Teaching Assistant: Yuxiang Ren
Office Hours: NA
The course on Deep Learning and Applications focuses on selective areas of importance in data mining, machine learning and deep learning. Data mining, machine learning and deep learning are all the recently emerged hot topic in AI studies, and solutions developed in the research hold substantial impacts in many important applications. Selective topics will be covered in the Deep Learning and Applications course.
No required textbook.
You are expected to have background knowledge in Data Structure, Algorithm, Discrete Mathematics. You will also need to be familiar with basic Linear Algebra, basic Statistics, and can master at least one programming language and have programming experiences.
The objective of this course is to familiarize students with the latest research topics related to data mining and machine learning. Course activities include 1) paper reading and paper review; 2) paper presentation and discussion; and 3) research oriented course paper writing.
In-class presentation: 30% . Powerpoint presentation needs to be submitted on the day of the presentation, before 11:59PM (midnight) of your presentation day. Copying existing presentation from the web is regarded as plagiarism.
Course participation and Q&A: 20% . A summary/review of each in-class discussion paper needs to be submitted before each class starts (i.e., before 3:35PM M/W). During the class, presenter and audiences can have Q&A with the pre-prepared questions in the review report.
Course paper: 50% . Single authored original work on data mining/machine learning. Not recycled published/submitted/on-going work with another faculties or classes.