{"id":37,"date":"2016-09-26T12:23:50","date_gmt":"2016-09-26T09:23:50","guid":{"rendered":"http:\/\/blog.metu.edu.tr\/vatalay\/?page_id=37"},"modified":"2022-09-27T22:07:11","modified_gmt":"2022-09-27T19:07:11","slug":"ceng-574-statistical-data-analysis","status":"publish","type":"page","link":"https:\/\/blog.metu.edu.tr\/vatalay\/ceng-574-statistical-data-analysis\/","title":{"rendered":"CEng 574 Statistical Data Analysis"},"content":{"rendered":"

MIDDLE EAST TECHNICAL UNIVERSITY
\nDEPT. OF COMPUTER ENGINEERING
\n<\/strong><\/p>\n

CEng 574 STATISTICAL DATA ANALYSIS
\nFall 2022
\nCourse Webpage<\/strong><\/p>\n

Instructor<\/strong>\u00a0 \u00a0 \u00a0 Volkan Atalay
\ne-mail<\/em>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 vatalay AT metu.edu.tr
\noffice<\/em> \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A-406
\nClass<\/strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Thursday 9:40-12:30\u00a0 at G-102 (this classroom is in Computer Center)
\nOffice Hour<\/strong> \u00a0 TBA<\/em><\/p>\n

Course web page address<\/strong> http:\/\/blog.metu.edu.tr\/vatalay\/ceng-574-statistical-data-analysis\/<\/a>
\nCourse Objectives<\/strong>
\nThe objective of this course is to introduce the concepts and techniques of clustering and multivariate and exploratory data analysis. This course also offers an opportunity to perform data analysis by using data visualization, projection, and embedding.
\nPrerequisites \u00a0\u00a0\u00a0 <\/strong>Knowledge of programming, probability,\u00a0and linear algebra.
\nMain Reference Book<\/strong>
\nAlpayd\u0131n, Introduction to Machine Learning,<\/em> 2nd<\/sup> Edition (2010) or 3rd<\/sup> Edition (2014), The MIT Press.
\n(Yapay \u00d6\u011frenme, Turkish language edition, translated by the author, Bo\u011fazi\u00e7i \u00dcniversitesi Yay\u0131nevi, 1st Edition 2011, 2nd Edition 2013, 3rd Edition 2017)<\/p>\n

Course Outline<\/strong>
\n1\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Data representation, distance metrics, and similarity measures
\n2\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Linear and non-linear projection methods, data embedding methods
\n3\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Data clustering algorithms and methods
\n4\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Evaluation of clustering algorithms and validation of clusterings
\n5\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Applications of data clustering in various fields such as bioinformatics and data stream analysis<\/p>\n

Grading
\n<\/strong>Assignment #1, #2 \u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 3pts each\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 6
\nAssignment #3, #4, #5 \u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 \u00a0 10pts each\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 30
\nAssignment #6 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0 6pts \u00a0 \u00a0 \u00a0 \u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 6
\nFinal dataset analysis \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 18
\nMidterm\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 30
\nAttendance and class participation\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 10<\/p>\n

Notes and Remarks<\/strong>
\nStudents coming from graduate programs other than the Computer Engineering program should attend the first class.<\/span><\/strong><\/p>\n

We will use ODTUClass<\/a> for the conduct and for all of the materials for this course.
\nAssignments should be done on an individual basis.
\nThe final dataset analysis will be performed in a team setting of 2 persons.
\nLate submission policy: you have a total of 4 days of late submission.
\nAcademic Integrity Guide for Students: http:\/\/oidb.metu.edu.tr\/system\/files\/Academic%20Integrity%20Guide%20for%20Students.pdf<\/a><\/p>\n

Introduction lecture slides<\/span><\/a><\/span><\/p>\n

\u00a0<\/span><\/p>\n

Related Links<\/strong>
\nPCA<\/strong>
\nA Tutorial on Principal Component Analysis, Jonathon Shlens, 2014, http:\/\/arxiv.org\/pdf\/1404.1100v1.pdf<\/a>
\nA tutorial on Principal Components Analysis, Lindsay I Smith, February 26, 2002, http:\/\/www.cs.otago.ac.nz\/cosc453\/student_tutorials\/principal_components.pdf<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

MIDDLE EAST TECHNICAL UNIVERSITY DEPT. OF COMPUTER ENGINEERING CEng 574 STATISTICAL DATA ANALYSIS Fall 2022 Course Webpage Instructor\u00a0 \u00a0 \u00a0 Volkan Atalay e-mail\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 vatalay AT metu.edu.tr office \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A-406 Class\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Thursday 9:40-12:30\u00a0 at G-102 (this classroom is in Computer Center) Office Hour \u00a0 […]<\/p>\n","protected":false},"author":1875,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-37","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blog.metu.edu.tr\/vatalay\/wp-json\/wp\/v2\/pages\/37","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.metu.edu.tr\/vatalay\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blog.metu.edu.tr\/vatalay\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blog.metu.edu.tr\/vatalay\/wp-json\/wp\/v2\/users\/1875"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.metu.edu.tr\/vatalay\/wp-json\/wp\/v2\/comments?post=37"}],"version-history":[{"count":0,"href":"https:\/\/blog.metu.edu.tr\/vatalay\/wp-json\/wp\/v2\/pages\/37\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.metu.edu.tr\/vatalay\/wp-json\/wp\/v2\/media?parent=37"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}