See LEGEND for key to shading and symbols.
Subject Area - ACTL Term - Term 2 2023
| ACTL1101 | ACTL2101 | ACTL2102 | ACTL3142 | ACTL3143 | ACTL3202 |
| ACTL3301 | ACTL3303 | ACTL4002 | ACTL4003 | ACTL4011 | ACTL5000 |
| ACTL5001 | ACTL5003 | ACTL5004 | ACTL5103 | ACTL5110 | ACTL5111 |
| ACTL5200 | ACTL5301 | ACTL6104 |
Data is correct as at Mon Jan 30 12:01:02 AEDT 2023
| Comp | Sect | Class | Type | Status | Enr/Cap | % Full | Times (weeks, Location) - default 1hour |
| ACTL1101 | Intro Actuarial Studies | ||||||
| CRS | CR01 | 1947 | Open | 239/375 | 64% | (Course Enrolment, UGRD) | |
| ACTL2101 | Industry Placement 1 | ||||||
| CRS | CR01 | 1946 | Open* | 0/15 | 0% | (Course Enrolment, UGRD) | |
| ACTL2102 | Foundation of Actuarial Models | ||||||
| CRS | CR01 | 1945 | Open | 237/300 | 79% | (Course Enrolment, UGRD) | |
| ACTL3142 | Stat Machine Learning for R&A | ||||||
| CRS | CR01 | 1944 | Open | 192/375 | 51% | (Course Enrolment, UGRD) | |
| ACTL3143 | Artificial Intel Deep Learning | ||||||
| CRS | CR01 | 1943 | Open | 28/50 | 56% | (Course Enrolment, UGRD) | |
| ACTL3202 | Industry Placement 2 | ||||||
| CRS | CR01 | 1942 | Open | 11/15 | 73% | (Course Enrolment, UGRD) | |
| ACTL3301 | Quantitative Risk Management | ||||||
| CRS | CR01 | 1941 | Open | 91/125 | 73% | (Course Enrolment, UGRD) | |
| ACTL3303 | Industry Placement 3 | ||||||
| CRS | CR01 | 1940 | Open | 11/15 | 73% | (Course Enrolment, UGRD) | |
| ACTL4002 | Actuarial Theory & Practice B | ||||||
| CRS | CR01 | 1939 | Open | 63/100 | 63% | (Course Enrolment, UGRD) | |
| ACTL4003 | Res. Methods in Risk & Act. St | ||||||
| CRS | CR01 | 1938 | Open* | 0/8 | 0% | (Course Enrolment, UGRD) | |
| ACTL4011 | Thesis (Actuarial Studies) B | ||||||
| CRS | CR01 | 1937 | Open | 2/10 | 20% | (Course Enrolment, UGRD) | |
| ACTL5000 | Thesis - Actuarial Studies | ||||||
| CRS | CR01 | 2329 | Open | 4/12 | 33% | (Course Enrolment, RSCH) | |
| THE | THE1 | 3139 | Enr | Open | 8/20 | 40% | |
| ACTL5001 | Thesis P/T Actuarial Studies | ||||||
| CRS | CR01 | 2328 | Open | 0/5 | 0% | (Course Enrolment, RSCH) | |
| THE | THE1 | 3140 | Enr | Open | 0/5 | 0% | |
| ACTL5003 | Res. Methods in Risk & Act. St | ||||||
| CRS | CR01 | 2327 | Open* | 0/10 | 0% | (Course Enrolment, RSCH) | |
| ACTL5004 | Project Report - Act. Stud. | ||||||
| CRS | CR01 | 3029 | Open* | 0/5 | 0% | (Course Enrolment, PGRD) | |
| ACTL5103 | Stochastic Model. for Act. | ||||||
| CRS | CR01 | 3028 | Open | 17/40 | 43% | (Course Enrolment, PGRD) | |
| ACTL5110 | Stat Machine Learning for R&A | ||||||
| CRS | CR01 | 3027 | Open | 18/40 | 45% | (Course Enrolment, PGRD) | |
| ACTL5111 | Artificial Intel Deep Learning | ||||||
| CRS | CR01 | 3026 | Open | 5/50 | 10% | (Course Enrolment, PGRD) | |
| ACTL5200 | Actuarial Theory & Practice B | ||||||
| CRS | CR01 | 3025 | Open | 11/30 | 37% | (Course Enrolment, PGRD) | |
| ACTL5301 | Quantitative Risk Management | ||||||
| CRS | CR01 | 3024 | Open | 10/25 | 40% | (Course Enrolment, PGRD) | |
| ACTL6104 | Topics in Actuarial Studies | ||||||
| CRS | CR01 | 3359 | Open | 0/20 | 0% | (Course Enrolment, PGRD) | |
| ^ top ^ | |||||||
| LEGEND | |||||||
| * This class requires consent. Students cannot self-enrol. | |||||||
| # Timetable clash allowed. | |||||||
| /odd Runs in odd weeks only. /even Runs in even weeks only. | |||||||
| Comb/w Jointly taught with corresponding class(es) for specified course(s). Capacity shown is effective capacity. | |||||||
| Effective capacity is the class capacity less any places taken by students in the other jointly-taught classes. | |||||||
| [ ] Class capacity where different from effective capacity. | |||||||
| Shaded cells: | LEC | Activity different from previous | |||||
| Stop | Status is Stop Further Enrolment, Tentative, Closed or Cancelled | ||||||
| 100% | Class is full (> 100% means capacity is exceeded) | ||||||
| 80% | Class is nearly full (80% or more) | ||||||
| 50% | Class is half full | ||||||
| 0% | Class is less than half full | ||||||
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