This course introduces the concepts and methods of statistical inferences: the process of inferring unknowns under uncertainty. Students of this course will also learn programming skills in the R environment for basic statistical analyses.
This course consists of three main sections. Section 1 covers elements of probability models. Section 2 covers the basic theories in statistical inferences. Section 3 introduces the basic of two powerful and widely used analytic tools: regression and simulation analysis. Each weekly topic will be supplemented with relevant computer applications in the R environment.
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | |
| Exam |
Prerequisite Graph
Required first
Statistics & Analysis
Unlocks
BA2203Statistical ModellingBA2204ModelsBA2205Actuarial ComputingBA3202Actuarial StatisticsBA3204Actuarial ManagementBA3205Actuarial ComputingBC3405Lean Operations & AnalyticsBC3406Business Analytics ConsultingBC3411Lean Operations & AnalyticsBF2210Risk Management Of Financial InstitutionsBF3123Machine Learning In FinanceBF3222Blockchain & Ai In FinanceBF3223Blockchain & Ai In FinanceBH2601Strategic Hr Management & ConsultingBH2602Total Rewards Management+27 moreAvailable Indexes
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| 830 | 00497 SEM (19) 0830-1020 Tue ABS-SR10 | 00479 SEM (1) 0830-1020 Wed S4-SR7 | 00481 SEM (3) 0830-1020 Wed S4-SR16 | 00488 SEM (10) 0830-1020 Thu S3-SR10 | 00493 SEM (15) 0830-1020 Fri S4-SR8 | ||
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| 1000 | |||||||
| 1030 | 00484 SEM (6) 1030-1220 Mon S4-SR22 | 00482 SEM (4) 1030-1220 Tue S4-SR1 | 00486 SEM (8) 1030-1220 Wed S4-SR13 | 00492 SEM (14) 1030-1220 Wed S4-SR10 | 00489 SEM (11) 1030-1220 Thu S3-SR10 | 00494 SEM (16) 1030-1220 Fri S4-SR8 | |
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| 1430 | 00483 SEM (5) 1430-1620 Tue S4-SR21 | 00496 SEM (18) 1430-1620 Tue S3-SR10 | 00487 SEM (9) 1430-1620 Wed S4-SR18 | 00490 SEM (12) 1430-1620 Thu S4-SR24 | 00495 SEM (17) 1430-1620 Fri S4-SR18 | ||
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| 1630 | 00491 SEM (13) 1630-1820 Mon S4-SR6 | 00480 SEM (2) 1630-1820 Fri S4-SR18 | |||||
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| 1830 | 00485 SEM (7) 1830-2020 Mon S4-SR6 | ||||||
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