The University of New South Wales
Class Details
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Data is correct as at Thu, 15-09-2022 01:03:04 EST

BINF3020 Computational Bioinformatics
Faculty Faculty of Engineering School School of Computer Sci & Eng Go to Online Handbook record
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Campus Sydney Career Undergraduate
This course is scheduled for offering in the following teaching periods for 2022.

Teaching Period Staff Contact Census Date Notes
  TERM THREE
 
  T3
Dr ME Bain 09-OCT-2022 Prerequisite for this course are COMP2041 and BINF2010  
SUMMARY OF TERM THREE CLASSES
Go to Class Detail records - TERM THREE
Teaching Period Three

Activity Period Class Section Status Enrols/Capacity Day/Start Time
Course Enrolment T3 2711 CR01 Full 0/0
Lecture T3 6139 A Full 30/30* Mon 10:00 - 12:00 (Weeks:1-3,5,7-10), Wed 16:00 - 18:00 (Weeks:1-5,7-10)
Tutorial-Laboratory T3 6140 B Full 30/30* Tue 16:00 - 17:00 (Weeks:1-5,7-10), Thu 16:00 - 18:00 (Weeks:1-5,7-10)
(* = jointly taught class)

TERM THREE CLASSES - Detail
Class Nbr 2711 Section CR01 Teaching Period T3 - Teaching Period Three
Activity Course Enrolment Status Full Enrols/Capacity 0/0
Offering Period 12/09/2022 - 11/12/2022 Meeting Dates Standard dates Census Date 09/10/2022
Mode of Delivery Online Consent Consent not required
Meeting Information
Class Notes
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Class Nbr 6139 Section A Teaching Period T3 - Teaching Period Three
Activity Lecture Status Full Enrols/Capacity 30/30*
Offering Period 12/09/2022 - 11/12/2022 Meeting Dates Standard dates Census Date 09/10/2022
Mode of Delivery Online Consent Consent not required (* = jointly taught class)
Meeting Information
Day Time Location Weeks Instructor
Mon 10:00 - 12:00 Online (ONLINE) 1-3,5,7-10 Dr ME Bain
Wed 16:00 - 18:00 Online (ONLINE) 1-5,7-10 Dr ME Bain
Class Notes
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Class Nbr 6140 Section B Teaching Period T3 - Teaching Period Three
Activity Tutorial-Laboratory Status Full Enrols/Capacity 30/30*
Offering Period 12/09/2022 - 11/12/2022 Meeting Dates Standard dates Census Date 09/10/2022
Mode of Delivery Online Consent Consent not required (* = jointly taught class)
Meeting Information
Day Time Location Weeks Instructor
Tue 16:00 - 17:00 Online (ONLINE) 1-5,7-10
Thu 16:00 - 18:00 Online (ONLINE) 1-5,7-10
Class Notes
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