Please note:
To view the Spring 2022 Academic Calendar, go to www.sfu.ca/students/calendar/2022/spring.html.
Actuarial Science Major
The Department of Statistics and Actuarial Science offers a bachelor of science (BSc) program in actuarial science within the Faculty of Science.
Frequently asked questions about the program and contact information for the Undergraduate Advisor for the department can be found here: https://www.sfu.ca/statactsci/undergraduate/currentstudents/advising.html. Students should seek advice early in their academic careers about program planning from the department's advisors.
Admission Requirements
For admission, students normally complete each lower division required course in mathematics and statistics, or its equivalent, with a minimum C+ grade. Students are also normally required to have completed ACMA 101 and ACMA 201 with a minimum grade of C+ and have a cumulative grade point average (CGPA) of at least 3.0.
Achieving the minimum grade requirements will not guarantee program admission.
Students normally apply for admission in the term in which they complete ACMA 201.
Courses for Further Credit
No student may complete, for further credit, any course offered by the Department of Statistics and Actuarial Science which is a prerequisite for a course the student has already completed with a grade of C or higher without permission of the department.
Computing Recommendation
Some experience with a high level programming language is recommended by the beginning of the second year.
Prerequisite Grade Requirement
Students must have a grade of C or better in prerequisites for STAT courses. Students must have a grade of C or better in prerequisites for ACMA courses.
GPA Required for Continuation
To continue in the program, students must maintain at least a 2.25 grade point average in MATH, STAT, MACM or ACMA courses.
Graduation Requirement
Students are required to complete a minimum of 44 upper division units including a minimum of 28 units in the major subject or field, and achieve a CGPA of 2.50 or better to graduate.
Program Requirements
Students complete 120 units, as specified below.
Graduation Grade Point Averages
Lower Division Requirements
Students complete all of
General overview of universally useful concepts in insurance, pensions and financial management. Typical life, health and property & casualty insurance products; underwriting; pricing; reserving; regulation; social insurance; retirement plans and annuities; financial planning: mortgages, loans, wealth management. Corequisite: MATH 150, 151, 154 or 157. Quantitative/BreadthScience.
Measurement of interest, present value. Equations of value. Annuities. Loans and amortization schedules. Bonds and other securities. Cash flows: yield rates, duration, convexity, immunization. Yield curves: spot rates, forward rates. Interest rate swaps. Covers part of the syllabus for Exam FM of the Society of Actuaries and Exam 2 of the Casualty Actuarial Society. Prerequisite: MATH 152 with a minimum grade of C; or MATH 155 or MATH 158, with a grade of at least B. Students with credit for ACMA 210 cannot take ACMA 201 for further credit. Quantitative.
An introduction to financial accounting, including accounting terminology, understanding financial statements, analysis of a business entity using financial statements. Includes also time value of money and a critical review of the conventional accounting system. Prerequisite: 12 units. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Grant Mowbray 
Fr 12:30 PM – 2:20 PM 
WMC 3520, Burnaby 
D101 
Fr 2:30 PM – 3:20 PM 
WMC 3251, Burnaby 

D102 
Fr 2:30 PM – 3:20 PM 
WMC 2521, Burnaby 

D103 
Fr 3:30 PM – 4:20 PM 
WMC 2521, Burnaby 

D104 
Fr 3:30 PM – 4:20 PM 
WMC 2501, Burnaby 

D105 
Fr 4:30 PM – 5:20 PM 
WMC 2501, Burnaby 

D200 
Grant Mowbray 
Th 12:30 PM – 2:20 PM 
SRYC 5280, Surrey 
D201 
Th 2:30 PM – 3:20 PM 
SRYC 5060, Surrey 

D202 
Th 2:30 PM – 3:20 PM 
SRYC 5320, Surrey 

D203 
Th 3:30 PM – 4:20 PM 
SRYC 5060, Surrey 

D204 
Th 3:30 PM – 4:20 PM 
SRYC 5320, Surrey 
Theory and methods of cost compilation for managerial planning, control and decision making; the use of budgets and analysis in planning and controlling operations, establishing supervisory and departmental responsibility, and various techniques of measuring results. Prerequisite: BUS 251 with a minimum grade of C; 15 units. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Hwee Cheng Tan 
Th 10:30 AM – 12:20 PM 
EDB 7618, Burnaby 
D101 
Th 12:30 PM – 1:20 PM 
AQ 5025, Burnaby 

D102 
Th 12:30 PM – 1:20 PM 
AQ 5014, Burnaby 

D103 
Th 1:30 PM – 2:20 PM 
AQ 5004, Burnaby 

D104 
Th 1:30 PM – 2:20 PM 
AQ 5014, Burnaby 

D105 
Th 2:30 PM – 3:20 PM 
AQ 5004, Burnaby 

D106 
Th 2:30 PM – 3:20 PM 
AQ 5005, Burnaby 

D200 
Hwee Cheng Tan 
Tu 12:30 PM – 2:20 PM 
SRYC 5280, Surrey 
D201 
Tu 2:30 PM – 3:20 PM 
SRYC 5060, Surrey 

D202 
Tu 2:30 PM – 3:20 PM 
SRYC 5320, Surrey 

D203 
Tu 3:30 PM – 4:20 PM 
SRYC 5060, Surrey 
The principal elements of theory concerning utility and value, price and costs, factor analysis, productivity, labor organization, competition and monopoly, and the theory of the firm. Students with credit for ECON 200 cannot take ECON 103 for further credit. Quantitative/BreadthSoc.
Section  Instructor  Day/Time  Location 

D100 
Vasyl Golovetskyy 
Mo 12:30 PM – 2:20 PM We 12:30 PM – 1:20 PM 
RCB IMAGTH, Burnaby RCB IMAGTH, Burnaby 
D101 
Mo 2:30 PM – 3:20 PM 
AQ 5020, Burnaby 

D102 
Mo 2:30 PM – 3:20 PM 
AQ 5025, Burnaby 

D103 
Mo 2:30 PM – 3:20 PM 
AQ 5008, Burnaby 

D104 
Mo 3:30 PM – 4:20 PM 
AQ 5025, Burnaby 

D105 
Mo 3:30 PM – 4:20 PM 
AQ 5008, Burnaby 

D106 
Mo 4:30 PM – 5:20 PM 
AQ 5007, Burnaby 

D107 
Mo 4:30 PM – 5:20 PM 
AQ 5008, Burnaby 

D108 
Tu 10:30 AM – 11:20 AM 
AQ 5025, Burnaby 

D113 
Mo 3:30 PM – 4:20 PM 
AQ 5035, Burnaby 

D118 
We 11:30 AM – 12:20 PM 
AQ 5007, Burnaby 

D119 
We 11:30 AM – 12:20 PM 
RCB 5125, Burnaby 

D120 
We 11:30 AM – 12:20 PM 
AQ 5014, Burnaby 
The principal elements of theory concerning money and income, distribution, social accounts, public finance, international trade, comparative systems, and development and growth. Students with credit for ECON 205 cannot take ECON 105 for further credit. Quantitative/BreadthSoc.
Section  Instructor  Day/Time  Location 

D100 
Martin Santamaria 
Tu 12:30 PM – 2:20 PM Fr 12:30 PM – 1:20 PM 
RCB IMAGTH, Burnaby RCB IMAGTH, Burnaby 
D101 
Tu 2:30 PM – 3:20 PM 
AQ 5020, Burnaby 

D102 
Tu 2:30 PM – 3:20 PM 
AQ 5025, Burnaby 

D103 
Tu 2:30 PM – 3:20 PM 
AQ 5005, Burnaby 

D104 
Tu 3:30 PM – 4:20 PM 
AQ 5009, Burnaby 

D105 
Tu 3:30 PM – 4:20 PM 
AQ 5020, Burnaby 

D106 
Tu 4:30 PM – 5:20 PM 
AQ 5020, Burnaby 

D107 
Tu 4:30 PM – 5:20 PM 
AQ 5025, Burnaby 

D109 
Tu 2:30 PM – 3:20 PM 
AQ 5009, Burnaby 

D110 
We 11:30 AM – 12:20 PM 
AQ 5020, Burnaby 

D113 
Fr 11:30 AM – 12:20 PM 
RCB 5125, Burnaby 

D118 
Fr 11:30 AM – 12:20 PM 
RCB 5118, Burnaby 

D119 
Fr 11:30 AM – 12:20 PM 
RCB 7100, Burnaby 

D120 
Fr 11:30 AM – 12:20 PM 
RCB 6101, Burnaby 

D900 
Seong Choi 
Tu, Th 2:30 PM – 4:20 PM 
SRYC 2740, Surrey 
Riemann sum, Fundamental Theorem of Calculus, definite, indefinite and improper integrals, approximate integration, integration techniques, applications of integration. Firstorder separable differential equations and growth models. Sequences and series, series tests, power series, convergence and applications of power series. Prerequisite: MATH 150 or 151, with a minimum grade of C; or MATH 154 or 157 with a grade of at least B. Students with credit for MATH 155 or 158 may not take this course for further credit. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Randall Pyke 
Mo, We, Fr 8:30 AM – 9:20 AM 
SSCB 9200, Burnaby 
OP01  TBD 
Rectangular, cylindrical and spherical coordinates. Vectors, lines, planes, cylinders, quadric surfaces. Vector functions, curves, motion in space. Differential and integral calculus of several variables. Vector fields, line integrals, fundamental theorem for line integrals, Green's theorem. Prerequisite: MATH 152 with a minimum grade of C; or MATH 155 or MATH 158 with a grade of at least B. Recommended: It is recommended that MATH 240 or 232 be taken before or concurrently with MATH 251. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Hansol Park Razvan Fetecau 
Mo, We, Fr 1:30 PM – 2:20 PM 
SSCC 9001, Burnaby 
D200 
Imeri Kthim Kthim Imeri Nilima Nigam 
Mo, We, Fr 9:30 AM – 10:20 AM 
SRYC 3090, Surrey 
OP01  TBD  
OP02  TBD 
Basic laws of probability, sample distributions. Introduction to statistical inference and applications. Prerequisite: or Corequisite: MATH 152 or 155 or 158, with a minimum grade of C. Students wishing an intuitive appreciation of a broad range of statistical strategies may wish to take STAT 100 first. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Jinko Graham 
We 11:30 AM – 12:20 PM Fr 10:30 AM – 12:20 PM 
RCB IMAGTH, Burnaby RCB IMAGTH, Burnaby 
OL01  Distance Education  
OP01  TBD 
This course is a continuation of STAT 270. Review of probability models. Procedures for statistical inference using survey results and experimental data. Statistical model building. Elementary design of experiments. Regression methods. Introduction to categorical data analysis. Prerequisite: STAT 270 and one of MATH 152, MATH 155, or MATH 158, all with a minimum grade of C. Quantitative.
and one of
Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Topics as for Math 151 with a more extensive review of functions, their properties and their graphs. Recommended for students with no previous knowledge of Calculus. In addition to regularly scheduled lectures, students enrolled in this course are encouraged to come for assistance to the Calculus Workshop (Burnaby), or Math Open Lab (Surrey). Prerequisite: PreCalculus 12 (or equivalent) with a grade of at least B+, or MATH 100 with a grade of at least B, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 151, 154 or 157 may not take MATH 150 for further credit. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Seyyed Aliasghar Hosseini 
Mo, We, Fr 1:30 PM – 2:20 PM Tu 1:30 PM – 2:20 PM 
SSCK 9500, Burnaby SSCK 9500, Burnaby 
OP01  TBD 
Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Logarithmic and exponential functions, trigonometric functions, inverse functions. Limits, continuity, and derivatives. Techniques of differentiation, including logarithmic and implicit differentiation. The Mean Value Theorem. Applications of differentiation including extrema, curve sketching, Newton's method. Introduction to modeling with differential equations. Polar coordinates, parametric curves. Prerequisite: PreCalculus 12 (or equivalent) with a grade of at least A, or MATH 100 with a grade of at least B, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 154 or 157 may not take MATH 151 for further credit. Quantitative.
and one of
Linear equations, matrices, determinants. Introduction to vector spaces and linear transformations and bases. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. An emphasis on applications involving matrix and vector calculations. Prerequisite: MATH 150 or 151 or MACM 101, with a minimum grade of C; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 240 may not take this course for further credit. Quantitative.
Section  Instructor  Day/Time  Location 

D200 
Nadish de Silva 
Mo, We, Fr 1:30 PM – 2:20 PM 
SRYE 1002, Surrey 
OP01  TBD 
Linear equations, matrices, determinants. Real and abstract vector spaces, subspaces and linear transformations; basis and change of basis. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. Applications. Subject is presented with an abstract emphasis and includes proofs of the basic theorems. Prerequisite: MATH 150 or 151 or MACM 101, with a minimum grade of C; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 232 cannot take this course for further credit. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Hanmeng Zhan Hanmeng Zhan Bojan Mohar 
Mo, We, Fr 11:30 AM – 12:20 PM 
AQ 3005, Burnaby 
D101 
Th 9:30 AM – 10:20 AM 
AQ 5030, Burnaby 

D102 
Th 2:30 PM – 3:20 PM 
AQ 5007, Burnaby 

D103 
Th 3:30 PM – 4:20 PM 
AQ 5007, Burnaby 
and one of
Topics will include user interfaces, objects, eventdriven programming, program design, and file and data management. Prerequisite: BC Mathematics 12 (or equivalent) or any 100 level MATH course with a minimum grade of C. Students who have obtained credit for, or are currently enrolled in a computing science course at the 200 level or higher, or ITEC 240, 241 or 242 may not take CMPT 110 for further credit except with permission of the School of Computing Science. Quantitative.
A rigorous introduction to computing science and computer programming, suitable for students who already have some background in computing science and programming. Intended for students who will major in computing science or a related program. Topics include: memory management; fundamental algorithms; formally analyzing the running time of algorithms; abstract data types and elementary data structures; objectoriented programming and software design; specification and program correctness; reading and writing files; debugging tools; shell commands. Prerequisite: CMPT 120 or CMPT 130, with a minimum grade of C. Students with credit for CMPT 126, 129, 135 or CMPT 200 or higher may not take this course for further credit. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Anne Lavergne 
Mo, We, Fr 10:30 AM – 11:20 AM 
AQ 3181, Burnaby 
D101 
Anne Lavergne 
Tu 1:30 PM – 2:20 PM 
ASB 9838, Burnaby 
D102 
Anne Lavergne 
Tu 1:30 PM – 2:20 PM 
ASB 9838, Burnaby 
D103 
Anne Lavergne 
Tu 2:30 PM – 3:20 PM 
ASB 9838, Burnaby 
D104 
Anne Lavergne 
Tu 2:30 PM – 3:20 PM 
ASB 9838, Burnaby 
D105 
Anne Lavergne 
Tu 3:30 PM – 4:20 PM 
ASB 9838, Burnaby 
D106 
Anne Lavergne 
Tu 3:30 PM – 4:20 PM 
ASB 9838, Burnaby 
D107 
Anne Lavergne 
Tu 4:30 PM – 5:20 PM 
ASB 9838, Burnaby 
D108 
Anne Lavergne 
Tu 4:30 PM – 5:20 PM 
ASB 9838, Burnaby 
An introduction to computing science and computer programming, suitable for students wishing to major in Engineering Science or a related program. This course introduces basic computing science concepts, and fundamentals of object oriented programming. Topics include: fundamental algorithms and problem solving; abstract data types and elementary data structures; basic objectoriented programming and software design; elements of empirical and theoretical algorithmics; computation and computability; specification and program correctness; and history of computing science. The course will use a programming language commonly used in Engineering Science. Prerequisite: BC Math 12 (or equivalent, or any of MATH 100, 150, 151, 154, or 157, with a minimum grade of C). Students with credit for CMPT 102, 120, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129, 135, or CMPT 200 or higher first may not then take this course for further credit. Quantitative/BreadthScience.
A second course in computing science and programming intended for students studying mathematics, statistics or actuarial science and suitable for students who already have some background in computing science and programming. Topics include: a review of the basic elements of programming: use and implementation of elementary data structures and algorithms; fundamental algorithms and problem solving; basic objectoriented programming and software design; computation and computability and specification and program correctness. Prerequisite: CMPT 102 or CMPT 120, with a minimum grade of C. Students with credit for CMPT 125 or 135 may not take this course for further credit. Quantitative.
An introduction to computing science and computer programming, using a systems oriented language, such as C or C++. This course introduces basic computing science concepts. Topics will include: elementary data types, control structures, functions, arrays and strings, fundamental algorithms, computer organization and memory management. Prerequisite: BC Math 12 (or equivalent, or any of MATH 100, 150, 151, 154, or 157, with a minimum grade of C). Students with credit for CMPT 102, 120, 128 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129 or 135 first may not then take this course for further credit. Quantitative/BreadthScience.
and two ENGL or PHIL courses.
* Recommended
Upper Division Requirements
Students complete the following courses:
all of
Life tables, basic survival models. Basic life insurance and annuities: present value random variables, premium calculations, reserves. Computer applications for pricing and reserving for life insurance portfolios. Covers part of the syllabus for Exam LTAM of the Society of Actuaries. Prerequisite: ACMA 201 (or 210), with a minimum grade of C. Corequisite: STAT 285. Students with credit for ACMA 320 cannot take ACMA 301 for further credit. Quantitative.
Actuarial models and their application to insurance and financial risks. Introductory derivatives. Options. Option strategies and risk management. Discretetime models: binomial models, multiperiod models. Continuoustime models: BlackScholesMerton model. Marketmaking, hedging, and option Greeks. Introduction to exotic options. Covers part of the syllabus for Exam IFM of the Society of Actuaries and Exam 3F of the Casualty Actuarial Society. Prerequisite: ACMA 201 (or 210), with a minimum grade of C. Corequisite: STAT 285. Quantitative.
Severity models. Risk measures. Frequency models. Frequency and severity with coverage modifications: deductibles, policy limits, coinsurance. Parametric estimation: method of moments, MLE. Bayesian estimation. Model selection. Covers part of the syllabus for Exam STAM of the Society of Actuaries. Corequisite: STAT 330. Quantitative.
Advanced survival models. Multiple state models. Advanced premium calculations and reserves. Profit testing. Pension plans and retirement benefits. Computer applications for pricing, reserving and risk measurement of life insurance portfolios. Covers part of the syllabus for Exam LTAM of the Society of Actuaries. Prerequisite: ACMA 301 (or 320), with a minimum grade of C. Students with credit for ACMA 425 cannot take ACMA 401 for further credit. Quantitative.
Advanced actuarial models and their application to insurance and financial risks. Introduction to stochastic calculus: Ito's lemma, risk neutrality. Fundamental theorems of asset pricing. BlackScholesMerton partial differential equations. Exotic options. Monte Carlo methods. Advanced option pricing models. Implied volatility. Actuarial applications. Covers part of the syllabus for Exam IFM of the Society of Actuaries and Exam 3F of the Casualty Actuarial Society. Prerequisite: ACMA 340 with a minimum grade of C. Quantitative.
Aggregate loss models. Credibility: models and estimation. Insurance and reinsurance coverages. Pricing and reserving for shortterm insurance coverages. Covers part of the syllabus for Exam STAM of the Society of Actuaries. Prerequisite: ACMA 355 with a minimum grade of C. Quantitative.
Review of probability and distributions. Multivariate distributions. Distributions of functions of random variables. Limiting distributions. Inference. Sufficient statistics for the exponential family. Maximum likelihood. Bayes estimation, Fisher information, limiting distributions of MLEs. Likelihood ratio tests. Prerequisite: STAT 285, MATH 251, and one of MATH 232 or MATH 240, all with a minimum grade of C. Quantitative.
and one of
Topics in areas of actuarial science not covered in the regular curriculum of the department. Prerequisite: Dependent on the topics covered.
Measures of mortality and fertility: Crude rates, agespecific mortality rates, adjusted measures of mortality. Construction of life tables from census data. Stationary population theory: survivorship group, Lexis diagram. Stable population theory: SharpeLotka theorem, growth rate, quasistable populations. Mortality models. Longevity risk. Prerequisite: ACMA 301 (or 320), with a minimum grade of C. Quantitative.
Ratemaking: terminology, process, trend, ultimate losses, expense provisions, profit and contingencies, overall rate indications, classification rates, increased limits. Individual risk rating: prospective systems, retrospective rating, design. Loss Reserving: accounting concepts, definitions, principles, loss reserving process. Risk classification: relationship to other mechanisms, criteria for selecting rating variables, examples, efficiency, estimating class relativities. Covers part of the syllabus for Exam 5 of Casualty Actuarial Society. Cannot repeat for credit if taken as STAT 490 or ACMA 490 previously. Quantitative.
Overview of pension plans: design, funding, regulation, accounting standards. Pension funding methods: actuarial cost methods, terminal funding method. Individual actuarial cost methods: accrual benefit cost method, entryage actuarial cost method, unitcredit method, individuallevelpremium method, attaintedagenormal method. Group actuarial cost methods. Prerequisite: ACMA 301 (or 320), with a minimum grade of C. Corequisite: ACMA 401. Students with credit for STAT 490 or ACMA 490 may not take this course for further credit. Quantitative.
The topics included in this course will vary from term to term depending on faculty availability and student interest. Prerequisite: Dependent on the topic covered.
and four of
Role and function of financial managers, financial analysis, compound interest valuation and capital budgeting, management of current assets, introduction to financial instruments and institutions. Prerequisite: BUS 254 (or 324) with a minimum grade of C; 45 units. Recommended: BUS 207, ECON 201, or ECON 301. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Husna Memon 
Fr 1:30 PM – 5:20 PM 
BLU 9660, Burnaby 
D200 
Jose Pizarro 
Th 1:30 PM – 5:20 PM 
SRYC 2600, Surrey 
Investments from an individual and institutional point of view. Topics include: bond valuation and the term structure of interest rates, stock valuation, portfolio theory, asset pricing models, efficient markets and portfolio performance evaluation. Prerequisite: BUS 312, BUS 336 and BUS 207 or ECON 201 or ECON 301, all with a minimum grade of C; 45 units. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
M EMRUL HASAN 
We, Fr 2:30 PM – 4:20 PM 
WMC 2200, Burnaby 
E100 
M EMRUL HASAN 
We, Fr 4:30 PM – 6:20 PM 
AQ 3005, Burnaby 
Aspects of microeconomic theory concerned with strategic behavior, imperfect information, and market failure. Topics include game theory and oligopoly; uncertainty and insurance; asymmetric information and market power, externalities and public goods, together with related issues in welfare economics. Prerequisite: ECON 201 with a minimum grade of C; 60 units. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Thomas Vigie 
Tu 8:30 AM – 11:20 AM 
EDB 7618, Burnaby 
D101 
Tu 11:30 AM – 12:20 PM 
AQ 5025, Burnaby 

D102 
Tu 12:30 PM – 1:20 PM 
AQ 5004, Burnaby 

D103 
Tu 1:30 PM – 2:20 PM 
AQ 5014, Burnaby 

D104 
Tu 3:30 PM – 4:20 PM 
AQ 5025, Burnaby 

D105 
We 9:30 AM – 10:20 AM 
WMC 2522, Burnaby 

D106 
We 10:30 AM – 11:20 AM 
WMC 2522, Burnaby 

D107 
We 11:30 AM – 12:20 PM 
WMC 2501, Burnaby 

D108 
Th 2:30 PM – 3:20 PM 
WMC 2501, Burnaby 
Concepts and methods of analysis of macroeconomic variables  consumption, investment, government and foreign trade. Classical and Keynesian models compared; analysis of economic statics and dynamics. Prerequisite: ECON 201 with a minimum grade of C; 60 units. Students with a minimum grade of A in ECON 103 and 105 at Simon Fraser University at their first attempt can complete ECON 305 concurrently with ECON 201 after 30 units. Students seeking permission to enroll on this basis must contact the undergraduate advisor in economics. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Joshua Boitnott 
Mo 12:30 PM – 2:20 PM We 12:30 PM – 1:20 PM 
SSCB 9201, Burnaby WMC 3520, Burnaby 
D101 
Mo 2:30 PM – 3:20 PM 
AQ 5004, Burnaby 

D102 
Mo 3:30 PM – 4:20 PM 
AQ 5004, Burnaby 

D103 
Mo 4:30 PM – 5:20 PM 
AQ 5004, Burnaby 

D104 
Tu 10:30 AM – 11:20 AM 
BLU 11911, Burnaby 

D109 
We 10:30 AM – 11:20 AM 
WMC 3251, Burnaby 

D110 
We 11:30 AM – 12:20 PM 
WMC 3251, Burnaby 
A presentation of the problems commonly arising in numerical analysis and scientific computing and the basic methods for their solutions. Prerequisite: MATH 152 or 155 or 158, and MATH 232 or 240, and computing experience. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
JF Williams 
Mo, We, Fr 10:30 AM – 11:20 AM 
SSCB 9201, Burnaby 
D101 
Mo 2:30 PM – 3:20 PM 
WMC 2830, Burnaby 

D102 
Mo 3:30 PM – 4:20 PM 
WMC 2830, Burnaby 

D103 
Mo 4:30 PM – 5:20 PM 
WMC 2830, Burnaby 

D104 
Tu 11:30 AM – 12:20 PM 
WMC 2830, Burnaby 

D105 
Tu 12:30 PM – 1:20 PM 
WMC 2830, Burnaby 

D106 
Tu 1:30 PM – 2:20 PM 
WMC 2830, Burnaby 

D107 
Mo 5:30 PM – 6:20 PM 
WMC 2830, Burnaby 

D108 
Tu 10:30 AM – 11:20 AM 
WMC 2830, Burnaby 
Theoretical and computational methods for investigating the minimum of a function of several real variables with and without inequality constraints. Applications to operations research, model fitting, and economic theory. Prerequisite: MATH 232 or 240, and 251, all with a minimum grade of C. Quantitative.
Introduces the SAS statistical package. Data management; reading, editing and storing statistical data; data exploration and representation; summarizing data with tables, graphs and other statistical tools; and data simulation. Prerequisite: STAT 285 or STAT 302 or STAT 305 or ECON 333, with a minimum grade of C. Students with credit for STAT 340 may not take STAT 342 for further credit.
Theory and application of linear regression. Normal distribution theory. Hypothesis tests and confidence intervals. Model selection. Model diagnostics. Introduction to weighted least squares and generalized linear models. Prerequisite: STAT 285, MATH 251, and one of MATH 232 or MATH 240, all with a minimum grade of C. Quantitative.
Review of discrete and continuous probability models and relationships between them. Exploration of conditioning and conditional expectation. Markov chains. Random walks. Continuous time processes. Poisson process. Markov processes. Gaussian processes. Prerequisite: STAT 330, or all of: STAT 285, MATH 208W, and MATH 251, all with a minimum grade of C. Quantitative.
A datafirst discovery of advanced statistical methods. Focus will be on a series of forecasting and prediction competitions, each based on a large realworld dataset. Additionally, practical tools for statistical modeling in realworld environments will be explored. Prerequisite: 90 units including STAT 350 with a minimum grade of C and one of STAT 341, STAT 260, or CMPT 225, with a minimum grade of C, or instructor approval. STAT 240 is also recommended.
Distribution theory, methods for constructing tests, estimators, and confidence intervals with special attention to likelihood methods. Properties of the procedures including large sample theory. Prerequisite: STAT 330 with a minimum grade of C. Quantitative.
An introduction to the essential modern supervised and unsupervised statistical learning methods. Topics include review of linear regression, classification, statistical error measurement, flexible regression and classification methods, clustering and dimension reduction. Prerequisite: STAT 302 or STAT 305 or STAT 350 or ECON 333 or equivalent, with a minimum grade of C. Quantitative.
The Bayesian approach to statistics is an alternative and increasingly popular way of quantifying uncertainty in the presence of data. This course considers comparative statistical inference, prior distributions, Bayesian computation, and applications. Prerequisite: STAT 330 and 350, with a minimum grade of C. Quantitative.
Introduction to standard methodology for analyzing categorical data including chisquared tests for two and multiway contingency tables, logistic regression, and loglinear (Poisson) regression. Prerequisite: STAT 302 or STAT 305 or STAT 350 or ECON 333 or equivalent, with a minimum grade of C. Students with credit for the former STAT 402 or 602 may not take this course for further credit. Quantitative.
Introduction to linear time series analysis including moving average, autoregressive and ARIMA models, estimation, data analysis, forecasting errors and confidence intervals, conditional and unconditional models, and seasonal models. Prerequisite: STAT 285 or STAT 302 or STAT 305 or ECON 333 or equivalent, with a minimum grade of C. This course may not be taken for further credit by students who have credit for ECON 484. Quantitative.
Certain elective courses are preapproved courses for Valuation by Educational Experience (VEE) units from the Society of Actuaries. Information is available at www.soa.org
University Degree Requirements
Students must also satisfy University degree requirements for degree completion.
Writing, Quantitative, and Breadth Requirements
Students admitted to Simon Fraser University beginning in the fall 2006 term must meet writing, quantitative and breadth requirements as part of any degree program they may undertake. See Writing, Quantitative, and Breadth Requirements for universitywide information.
WQB Graduation Requirements
A grade of C or better is required to earn W, Q or B credit
Requirement 
Units 
Notes  
W  Writing 
6 
Must include at least one upper division course, taken at Simon Fraser University within the student’s major subject  
Q  Quantitative 
6 
Q courses may be lower or upper division  
B  Breadth 
18 
Designated Breadth  Must be outside the student’s major subject, and may be lower or upper division 6 units Social Sciences: BSoc 6 units Humanities: BHum 6 units Sciences: BSci 
6 
Additional Breadth  6 units outside the student’s major subject (may or may not be Bdesignated courses, and will likely help fulfil individual degree program requirements) Students choosing to complete a joint major, joint honours, double major, two extended minors, an extended minor and a minor, or two minors may satisfy the breadth requirements (designated or not designated) with courses completed in either one or both program areas. 
Residency Requirements and Transfer Credit
 At least half of the program's total units must be earned through Simon Fraser University study.
 At least two thirds of the program's total upper division units must be earned through Simon Fraser University study.
Elective Courses
In addition to the courses listed above, students should consult an academic advisor to plan the remaining required elective courses.