Computing & Information Sciences Kansas State University Paper Review Guidelines KDD Lab Course Supplement William H. Hsu Kansas State University Department.

Slides:



Advertisements
Similar presentations
Critical Reading Strategies: Overview of Research Process
Advertisements

Howard University Libraries LibGuides System. Overview Introduction to LibGuides. Accessing LibGuides from the library’s website. Using LibGuides to promote.
Welcome to the seminar course
© Devon M.Simmonds, 2007 CSC 550 Graduate Course in Software Engineering ______________________ Devon M. Simmonds Computer Science Department University.
Critical Analysis Presentation: T-Drive: Driving Directions based on Taxi Trajectories Authors of Paper: Jing Yuan, Yu Zheng, Chengyang Zhang, Weilei Xie,
Project Workshops Schedule. 2 Important Points to Note Project Workshops will be Thursday at 1315 in LC 50 These workshops are compulsory for all project.
CS/CMPE 535 – Machine Learning Outline. CS Machine Learning (Wi ) - Asim LUMS2 Description A course on the fundamentals of machine.
Web Design! John Paxton Montana State University - Bozeman CCSC Northwestern Region Saturday, October 8 th, 2004.
MS Computer Science: Dr. William J. Wolfe Professor and Chair Computer Science CSUCI MS Mathematics: Dr. Ivona Grzegorczyk Professor and Chair Mathematics.
CSC 466: Knowledge Discovery From Data Alex Dekhtyar Department of Computer Science Cal Poly New Computer Science Elective.
COMPUTER SCIENCE LYNDA THOMAS – SENIOR LECTURER, ACADEMIC ADVISOR.
Dr. Alireza Isfandyari-Moghaddam Department of Library and Information Studies, Islamic Azad University, Hamedan Branch
Welcome Introduction and Overview Computer Science Research Practicum Fall 2012 Andrew Rosenberg.
Kansas State University Department of Computing and Information Sciences CIS 830: Advanced Topics in Artificial Intelligence From Data Mining To Knowledge.
Computing & Information Sciences Kansas State University CIS 536/636 Introduction to Computer Graphics Lecture 6 of 41 William H. Hsu Department of Computing.
© Yilmaz “Agent-Directed Simulation – Course Outline” 1 Course Outline Dr. Levent Yilmaz M&SNet: Auburn M&S Laboratory Computer Science &
Kansas State University Department of Computing and Information Sciences CIS 830: Advanced Topics in Artificial Intelligence Wednesday, February 7, 2001.
Computing & Information Sciences Kansas State University Lecture 27 of 42CIS 636/736: (Introduction to) Computer Graphics Lecture 27 of 42 Wednesday, 02.
Linguistics & AI1 Linguistics and Artificial Intelligence Linguistics and Artificial Intelligence Frank Van Eynde Center for Computational Linguistics.
A review of the last decade of research in problem-based learning Lauren E.M. Dahlquist.
Computing & Information Sciences Kansas State University Boulder, Colorado First International Conference on Weblogs And Social Media (ICWSM-2007) Structural.
G52IVG, School of Computer Science, University of Nottingham 1 Administrivia Timetable Lectures, Friday 14:00 – 16:00 Labs, Friday 17:00 -18:00 Assessment.
Computing & Information Sciences Kansas State University Lecture 9 of 42 CIS 530 / 730 Artificial Intelligence Lecture 9 of 42 William H. Hsu Department.
Wednesday’s agenda: September 6  Discuss your summary/critique of the Michaelson chapter on the Incremental Method.  Discuss structure of theses and.
M.S in CS Introduction & more How do I select a concentration area? by Xudong Yu What is a concentration area? What is a topic paper? Thesis...is that.
KJC001 (sp2015.ppt – May 12, 2015) – Industry senior project presentation Industry-based Senior Project in the Department of Computer Science and Engineering.
Course Assessment SL External Assessment (Exam): 70% Paper 1 (Sections 1-4): 45% Paper 2 (Options paper): 25% Internal Assessment (Projects): 30% Solution:
Computing & Information Sciences Kansas State University Paper Review Guidelines KDD Lab Course Supplement William H. Hsu Kansas State University Department.
Computing & Information Sciences Kansas State University Wednesday, 22 Oct 2008CIS 530 / 730: Artificial Intelligence Lecture 22 of 42 Wednesday, 22 October.
Computing & Information Sciences Kansas State University Wednesday, 20 Sep 2006CIS 490 / 730: Artificial Intelligence Lecture 12 of 42 Wednesday, 20 September.
Computing & Information Sciences Kansas State University CIS 536/636 Introduction to Computer Graphics Lecture 5 of 41 William H. Hsu Department of Computing.
Kansas State University Department of Computing and Information Sciences CIS 830: Advanced Topics in Artificial Intelligence Wednesday, March 29, 2000.
Kansas State University Department of Computing and Information Sciences CIS 830: Advanced Topics in Artificial Intelligence Wednesday, January 24, 2001.
AdvancedBioinformatics Biostatistics & Medical Informatics 776 Computer Sciences 776 Spring 2002 Mark Craven Dept. of Biostatistics & Medical Informatics.
Computing & Information Sciences Kansas State University Lecture 40 of 42 CIS 530 / 730 Artificial Intelligence Lecture 40 of 42 A Brief Survey of Computer.
Computing & Information Sciences Kansas State University Lecture 14 of 42 CIS 530 / 730 Artificial Intelligence Lecture 14 of 42 William H. Hsu Department.
Kansas State University Department of Computing and Information Sciences CIS 830: Advanced Topics in Artificial Intelligence Wednesday, February 2, 2000.
Final Year Project 1 (FYP 1)
Kansas State University Department of Computing and Information Sciences CIS 690: Data Mining Systems Lab 0 Monday, May 15, 2000 William H. Hsu Department.
1 CHBE 551 Lect 03 Planning A Research Career. 2 Outline Objective: Overview of how you build a research career What are key skills that need to be developed.
ML, DM education What’s cookin’ ? Maja Skrjanc, Tanja Urbancic, Peter Flach.
Kansas State University Department of Computing and Information Sciences CIS 730: Introduction to Artificial Intelligence Friday, 14 November 2003 William.
Computer Science & Informatics Digital Ethnography, & Digital Humanities 1 st Big Data Event Kansas State University Monday 28 April 2014 William H. Hsu.
Kansas State University Department of Computing and Information Sciences CIS 736: Computer Graphics Wednesday, February 9, 2000 William H. Hsu Department.
Kansas State University Department of Computing and Information Sciences CIS 830: Advanced Topics in Artificial Intelligence Monday, January 24, 2000 William.
Computing & Information Sciences Kansas State University Monday, 23 Oct 2006CIS 490 / 730: Artificial Intelligence Lecture 25 of 42 Monday, 23 October.
Computing & Information Sciences Kansas State University Friday, 20 Oct 2006CIS 490 / 730: Artificial Intelligence Lecture 24 of 42 Friday, 20 October.
Progress presentation
Research Methods Technical Writing Thesis Conference/Journal Papers
Computing & Information Sciences Kansas State University Wednesday, 04 Oct 2006CIS 490 / 730: Artificial Intelligence Lecture 17 of 42 Wednesday, 04 October.
CMPT 880/890 The literature review. Outline (From last week: what’s your problem / question?) What is a literature review How to read papers in your.
Kansas State University Department of Computing and Information Sciences CIS 830: Advanced Topics in Artificial Intelligence Wednesday, January 26, 2000.
Computing & Information Sciences Kansas State University Friday, 13 Oct 2006CIS 490 / 730: Artificial Intelligence Lecture 21 of 42 Friday, 13 October.
FNA/Spring CENG 562 – Machine Learning. FNA/Spring Contact information Instructor: Dr. Ferda N. Alpaslan
Notes on Introduction CSC 196K In Class Discussion Course Overview Basic concepts of data mining Introduction to data warehousing.
BSHS 435 MASTER Leading through innovation/bshs435masterdotcom.
Computing & Information Sciences Kansas State University Monday, 18 Sep 2006CIS 490 / 730: Artificial Intelligence Lecture 11 of 42 Monday, 18 September.
Accelerated B.S./M.S An approved Accelerated BS/MS program allows an undergraduate student to take up to 6 graduate level credits as an undergraduate.
Term Project Proposal By J. H. Wang Apr. 7, 2017.
Computer Science skill sets
Industry-based Senior Project in the
Title: Proposal Template
Title: Thesis Template
T H E P U B G P R O J E C T.
CAP 6412: Advanced Computer Vision
Department of Computer Science and Engineering, KLS, GIT, Belgavi.
Research Methods Technical Writing Thesis Report Writing
<insert title> < presenter name >
Course Name: Special Problems (SPCL 101)
University of Peradeniya
Presentation transcript:

Computing & Information Sciences Kansas State University Paper Review Guidelines KDD Lab Course Supplement William H. Hsu Kansas State University Department of Computing and Information Sciences Laboratory for Knowledge Discovery in Databases (KDD Lab) Course web site: Instructor home page: Project Proposal Guidelines for AI, Database, and Computer Graphics Courses

Computing & Information Sciences Kansas State University Paper Review Guidelines KDD Lab Research Literature Surveys and Term Project Proposals Courses with Term Projects  CIS 530, CIS 730: Artificial Intelligence  CIS 598: Undergraduate Independent Study  CIS 560: Database System Concepts  CIS 690: Data Mining Systems (CIS 535)  CIS 636: Introduction to Computer Graphics  CIS 732: Machine Learning and Pattern Recognition  CIS 736: Computer Graphics Courses with Literature Review Requirements for Research  CIS 798, CIS 890: Topics in Computer Science  CIS 830: Topics in Artificial Intelligence  CIS 990: Graduate Seminar in Computer Science

Computing & Information Sciences Kansas State University Paper Review Guidelines KDD Lab Guidelines “It’s More of a Guideline” – Barbarossa, Pirates of the Caribbean Approximately one page point font 3-6 paragraphs 5 sections  1. Overview: Problem Statement – Goal, Technical Objectives  2. Background & Related Work – References (1-5 in print)  3. Methodology – Implementation Platform, Approach  4. Evaluation Criteria – How Will You Know It Works?  5. Milestones – Rough Calendar (Later, Results)

Computing & Information Sciences Kansas State University Paper Review Guidelines KDD Lab Writing Good Proposals First: Do Enough Footwork Critique Existing State of the Art  Novel contribution  Key strengths  Key weaknesses  Open questions Be Flexible Scope of Work  Flexibility / Originality  Functionality  Code Completeness  Results  Writeup