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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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At times it may become necessary to cancel advertised offerings.
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Data is correct as at Thu, 15-09-2022 01:10:03 EST |
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ACTL3143 Artificial Intelligence and Deep Learning Models for Actuarial Applications |
This course is scheduled for offering in the following teaching periods for 2022. |
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Teaching Period |
Staff Contact |
Census Date |
Notes |
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TERM TWO |
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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 |
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SUMMARY OF TERM TWO CLASSES
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TERM TWO CLASSES - Detail |
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Class Nbr |
2639 |
Section |
CR01 |
Teaching Period |
T2 - Teaching Period Two |
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Activity |
Course Enrolment |
Status |
Open |
Enrols/Capacity |
0/21 |
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Offering Period |
30/05/2022 - 28/08/2022 |
Meeting Dates |
Standard dates |
Census Date |
26/06/2022 |
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Mode of Delivery |
Multimodal |
Consent |
Consent not required |
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Meeting Information |
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Class Notes |
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Class Nbr |
9888 |
Section |
A |
Teaching Period |
T2 - Teaching Period Two |
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Activity |
Lecture |
Status |
Open |
Enrols/Capacity |
29/50 |
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Offering Period |
30/05/2022 - 28/08/2022 |
Meeting Dates |
Standard dates |
Census Date |
26/06/2022 |
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Mode of Delivery |
Hybrid |
Consent |
Consent not required |
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Meeting Information |
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Day |
Time |
Location |
Weeks |
Instructor |
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Tue |
13:00 - 15:30 |
UNSW Business School 119 (K-E12-119) |
1-5,7-10 |
Dr PJ Laub |
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Class Notes |
This activity is delivered in Hybrid mode and can be attended In Person (at UNSW Sydney) or Online |
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