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DANA 4840: Classification II

Course FormatLecture 4.0 h + Seminar 0.0 h + Lab 0.0 h
Credits3.0

Following dimension reduction and standard techniques of classification, situations arise where more advanced techniques are called for. Students learn the various multivariate techniques for classifying objects or cases into several groups. Density-based and centroid-based clustering, hierarchical techniques, as well as other clustering techniques such as fuzzy clustering will be discussed in detail. Diploma in Data Analytics and Post-Degree Certificate in Data Analytics.

Registration in this course is restricted to students admitted to the Post-Degree

Prerequisite(s): A minimum "C" grade in DANA 4810 and 4820.


Course Attributes:
2nd Year Arts
2nd Year Science
Humanities
Lab Science
Science
Social Science
University
Transferable
Other Attributes:
Offered online:No
Preparatory course:No
Repeat limit2
Additional fees:$34.3
First offered:Spring 2020
Last offered:Fall 2025
Registration
restrictions:		RP
Outline(s):No outline found.
Transfer Agreements
CourseDestinationCreditStart to End
No active transfer agreements.
Inactive Transfer Agreements (click to open)
CourseDestinationCreditStart to End
No inactive transfer agreements.

Offerings of this course:

SemesterCRNSectionSeatsWaitlistDaysTimeRoomTypeInstructor
Fall 20253080800124N/AM-W----1430-1620B031LectureYew-Wei Lim
Summer 2025202910018 M-W----1430-1620B153LectureYew-Wei Lim
Spring 20251013200111 -T-R---1630-1820A320LectureJonathan Agyeman
M------1830-2125A314ExamJonathan Agyeman
Fall 2024304720015 M-W----1430-1620C412LectureYew-Wei Lim
M------1830-2125C412ExamYew-Wei Lim
Summer 2024207090016 -T-R---1630-1820B010LectureYew-Wei Lim
---R---1830-2125B010ExamYew-Wei Lim
Spring 2024109960015 -T-R---1630-1820B029LectureJonathan Agyeman
----F--1830-2125B030ExamJonathan Agyeman
Fall 20233035900114 M-W----1430-1620C508LectureJonathan Agyeman
-T-----1830-2125B153ExamJonathan Agyeman
Summer 20232058100115 -T-R---1830-2020B152LectureYew-Wei Lim
-T-----1830-2125B152ExamYew-Wei Lim
Spring 20231084700111 -T-R---1830-2020B010LectureJonathan Agyeman
M------1830-2125B018ExamJonathan Agyeman
Fall 2022306710013 M-W----1830-2020A274LectureJonathan Agyeman
--W----1830-2125B018ExamJonathan Agyeman
Summer 20222046900114 M------1830-2020A136BLectureQuynh Nguyen
M-W----1830-2020T001LectureQuynh Nguyen
----F--1830-2125T530ExamQuynh Nguyen
Spring 2022110610018 M-W----1830-2020A215LectureChun Yin Chiu
--W----1830-2125A215ExamChun Yin Chiu
Fall 20213017100116 M-W----1630-1820B029LectureQuynh Nguyen
--W----1830-2125B029ExamQuynh Nguyen
Spring 202110943W015 -T-R---1830-2020WWWWWWQuynh Nguyen
----F--1830-2125WWWExamQuynh Nguyen
Fall 202031540W014 -T-R---1830-2020WWWWWWQuynh Nguyen
----F--1830-2125WWWExamQuynh Nguyen
Spring 2020114960011 -T-R---1830-2020B023LectureYew-Wei Lim
M------1830-2125B021ExamYew-Wei Lim