![]() ![]() Video lectures available on the course websiteĪdditionally, students who are not familiar with the software R should complete the module “R you ready?” (with videos, exercises and documents) which is available on the course website to all ACTL students.Prescribed textbooks (and recommended books for additional support).Students are responsible to learn topics with the following materials: At this stage, tutorial sessions provide some face-to-face (online this term) on a weekly basis, to personalised help from the tutor.Ĭourse materials are organised in 3 modules. Finally, students move on to practicing their knowledge with tutorial exercises. The word combines lectures - because they are run by the lecturer, and with the whole group, and tutorial - because their goal is not to “lecture” students, but to discuss a module at a higher conceptual level, and to cement students’ learning with other activities (such as guest lectures, discussions, advanced exercises). They then move to a “lectorial”, whereby everyone is gathered in the lecture room. The first conceptual encounter with the materials happens at home when students watch the video lectures. The main rationale for this new structure is to bring the face-to-face (online this term) time later in the learning process when students are more comfortable with the materials, and more likely to interact and ask questions. While reading this subsection, please refer to the course schedule. The approach adopted in this course is called a flipped classroom. The approach adopted in this course is one of assisted self-study. Approach to Learning and Teaching in the Course For more information on how the University manages personal information please refer to the UNSW Student Privacy Statement and the UNSW Privacy Policy. Any data collected will be handled accordance with UNSW policies and standards for data governance. ![]() Monitoring of online examinations will be conducted directly by University staff and is bound by the University's privacy and security requirements. Some courses may involve undertaking online exams for which your own computer or digital devices will be required. Please contact the Lecturer-in-Charge if you have any questions or concerns. If you are worried about your personal space being observed during a class, we encourage you to blur your background or make use of a virtual background. Using a webcam is optional, but highly encouraged, as this will facilitate interaction with your peers and instructors. Use of your Webcam and Digital Devices: If you enrol in an online class, or the online stream of a hybrid class, teaching and associated activities will be conducted using Teams, Zoom, or similar a technology. You should be able to use a word processing package (such as WORD) and a spreadsheet (such as EXCEL) as well as the statistical software R. Students should have a solid background in mathematics and are assumed to be able to use a computer to analyse financial problems. Exemptions from professional actuarial examinations require above average performance in the equivalent University course. Students achieving Credit or higher grades will be recommended for exemption from the professional examination. ![]() The course corresponds to the actuarial professional subject CT3 Probability and Mathematical Statistics. The course contains necessary knowledge for the more advanced coverage in ACT元151 Life Contingencies and ACT元162 General Insurance Techniques. More advanced models are covered in ACTL2102 Foundations of Actuarial Models. Consult the Course Coordinator if you do not have the required mathematical background.ĪCTL2131 Probability and Mathematical Statistics will have applications in other courses in the actuarial major. There is a document on Moodle with some assumed knowledge of mathematics and linear algebra. The assumed knowledge of the course is a good understanding of mathematics as covered in a full year of university calculus and linear algebra. This course covers probability and statistics at an introductory yet mathematically rigorous level with a strong foundation in mathematics. ![]()
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