Course prerequisites
Math 3630/287 (Actuarial Mathematics I) or concurrently taken
Course textbook
Loss Models: From Data to Decisions by S.A. Klugman, H.H. Panjer, and G.E. Willmot, 3rd edition, John Wiley and Sons, 2008. [only use the 3rd edition] For recent ERRATA of the book, click here.
Other recommended readings
Nonlife Actuarial Models: Theory, Methods and Evaluation by Y.-K. Tse, Cambridge University Press, 2009.
Modern Actuarial Risk Theory: Using R by R. Kaas, M. Goovaerts, J. Dhaene, and M. Denuit, Springer-Verlag, 2008.
Course assessments
| Homework/Assignments | 20% | [random] weekly |
| Class Test 1 | 25% | week of Oct 4 |
| Class Test 2 | 25% | week of Nov 1 |
| Final Examination | 30% | to be announced |
Final examination
Final exam week for Fall 2010 takes place from Monday, December 13, through Saturday, December 18. Students are required to be available for their exam during the stated time. If you have a conflict with this time, you must visit the Office of Student Services and Advocacy to discuss the possibility of rescheduling this exam.
Please note that vacations, previously purchased tickets or reservations, graduations, social events, misreading the exam schedule and over-sleeping are not viable excuses for missing a final exam. If you think that your situation warrants a permission to reschedule, please contact the Office of Student Services and Advocacy with any questions. Thank you in advance for your cooperation.
Class attendance
While attendance is not compulsory, we will check for attendance randomly throughout the semester. We will reward those students with excellent record of attendance. If necessary, we will warn students who are doing poorly in the class with poor record of attendance.
Academic integrity
A fundamental tenet of all educational institutions is academic honesty; academic work depends upon respect for and acknowledgement of the research and ideas of others. Misrepresenting someone else’s work as one’s own is a serious offense in any academic setting and it will not be condoned.
Academic misconduct includes, but is not limited to, providing or receiving assistance in a manner not authorized by the instructor in the creation of work to be submitted for academic evaluation (e.g. papers, projects, and examinations); any attempt to influence improperly (e.g. bribery, threats) any member of the faculty, staff, or administration of the University in any matter pertaining to academics or research; presenting, as one’s own, the ideas or words of another for academic evaluation; doing unauthorized academic work for which another person will receive credit or be evaluated; and presenting the same or substantially the same papers or projects in two or more courses without the explicit permission of the instructors involved.
A student who knowingly assists another student in committing an act of academic misconduct shall be equally accountable for the violation, and shall be subject to the sanctions and other remedies described in The Student Code.