The University of New South Wales
Class Details
Offering information, including the availability of offerings and timetabling information, is subject to change.
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If there is any inconsistency in the description of activities between the timetable and the Course Outline, the description in the Course Outline applies.
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Data is correct as at Thu, 15-09-2022 01:10:03 EST

ACTL5111 Artificial Intelligence and Deep Learning Models for Risk and Insurance
Faculty UNSW Business School School School of Risk & Actuarial St Go to Online Handbook record
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Campus Sydney Career Postgraduate
This course is scheduled for offering in the following teaching periods for 2022.

Teaching Period Staff Contact Census Date Notes
  TERM TWO
 
  T2
Dr PJ Laub 26-JUN-2022 Please join the waitlist if the course is full. We regularly monitor waitlists to organise seats in the course. For more information please visit: www.student.unsw.edu.au/waitlisting  
SUMMARY OF TERM TWO CLASSES
Go to Class Detail records - TERM TWO
Teaching Period Two

Activity Period Class Section Status Enrols/Capacity Day/Start Time
Course Enrolment T2 1750 CR01 Open 0/35
Lecture T2 9889 A Open 15/50 Mon 18:00 - 20:30 (Weeks:1-2,4-5,7-10)
(* = jointly taught class)

TERM TWO CLASSES - Detail
Class Nbr 1750 Section CR01 Teaching Period T2 - Teaching Period Two
Activity Course Enrolment Status Open Enrols/Capacity 0/35
Offering Period 30/05/2022 - 28/08/2022 Meeting Dates Standard dates Census Date 26/06/2022
Mode of Delivery Multimodal Consent Consent not required
Meeting Information
Class Notes
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Class Nbr 9889 Section A Teaching Period T2 - Teaching Period Two
Activity Lecture Status Open Enrols/Capacity 15/50
Offering Period 30/05/2022 - 28/08/2022 Meeting Dates Standard dates Census Date 26/06/2022
Mode of Delivery Hybrid Consent Consent not required
Meeting Information
Day Time Location Weeks Instructor
Mon 18:00 - 20:30 UNSW Business School 115 (K-E12-115) 1-2,4-5,7-10 Dr PJ Laub
Class Notes
This activity is delivered in Hybrid mode and can be attended In Person (at UNSW Sydney) or Online
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