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School of Computing Science  Faculty of Applied Sciences Simon Fraser University Calendar  Summer 2023
Mathematics and Computing Science Joint Honours
This program is offered cooperatively by the Department of Mathematics and the School of Computing Science. In general, students are expected to meet the requirements of both the department and the school with respect to admission, continuation and graduation requirements.
Prerequisite Grade Requirement
To enroll in a course offered by the Department of Mathematics, a student must obtain a grade of C or better in each prerequisite course. Some courses may require higher prerequisite grades. Check the MATH course’s Calendar description for details.
Students will not normally be permitted to enroll in any course for which a D grade or lower was obtained in any prerequisite. No student may complete, for further credit, any course offered by the Department of Mathematics 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 science course entry requires a grade of C or better in each prerequisite course. A minimum 2.40 CGPA is required for 200, 300 and 400 division computing courses.
Program Requirements
The program is subject to Faculty of Science and University regulations. Course and prerequisite admission is subject to departmental requirements.
Faculty of Applied Sciences residency requirements apply to the computing science courses used toward the program.
Students complete at least 120 units of which at least 60 units are at the upper division level as specified below.
Lower Division Requirements
Students complete at least 4347 units, including both of
An elementary introduction to computing science and computer programming, suitable for students with little or no programming background. Students will learn fundamental concepts and terminology of computing science, acquire elementary skills for programming in a highlevel language, e.g. Python. The students will be exposed to diverse fields within, and applications of computing science. Topics will include: pseudocode; data types and control structures; fundamental algorithms; recursion; reading and writing files; measuring performance of algorithms; debugging tools; basic terminal navigation using shell commands. Treatment is informal and programming is presented as a problemsolving tool. Prerequisite: BC Math 12 or equivalent is recommended. Students with credit for CMPT 102, 128, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129, 130 or 135 first may not then take this course for further credit. Quantitative/BreadthScience.
Section  Instructor  Day/Time  Location 

D100 
Hazra Imran 
Mo
8:30 AM – 10:20 AM
We 8:30 AM – 9:20 AM 
SSCB 9201, Burnaby AQ 3181, Burnaby 
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 
Janice Regan 
We
3:30 PM – 4:20 PM
Fr 2:30 PM – 4:20 PM 
AQ 3181, Burnaby AQ 3181, Burnaby 
D101 
Tu
10:30 AM – 11:20 AM

ASB 9838, Burnaby 

D102 
Tu
10:30 AM – 11:20 AM

ASB 9838, Burnaby 

D103 
Tu
11:30 AM – 12:20 PM

ASB 9838, Burnaby 

D104 
Tu
11:30 AM – 12:20 PM

ASB 9838, Burnaby 

D105 
Tu
12:30 PM – 1:20 PM

ASB 9838, Burnaby 

D106 
Tu
12:30 PM – 1:20 PM

ASB 9838, Burnaby 

D107 
Tu
1:30 PM – 2:20 PM

ASB 9838, Burnaby 

D108 
Tu
1:30 PM – 2:20 PM

ASB 9838, Burnaby 
or both of
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.
A second course in systemsoriented programming and computing science that builds upon the foundation set in CMPT 130 using a systemsoriented language such as C or C++. Topics: a review of the basic elements of programming; introduction to objectoriented programming (OOP); techniques for designing and testing programs; use and implementation of elementary data structures and algorithms; introduction to embedded systems programming. Prerequisite: CMPT 130 with a minimum grade of C. Students with credit for CMPT 125, 126, or 129 may not take this course for further credit. Quantitative.
and all of
Introduction to a variety of practical and important data structures and methods for implementation and for experimental and analytical evaluation. Topics include: stacks, queues and lists; search trees; hash tables and algorithms; efficient sorting; objectoriented programming; time and space efficiency analysis; and experimental evaluation. Prerequisite: (MACM 101 and (CMPT 125, CMPT 129 or CMPT 135)) or (ENSC 251 and ENSC 252), all with a minimum grade of C. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Toby Donaldson 
Tu
12:30 PM – 2:20 PM
Fr 12:30 PM – 1:20 PM 
SSCB 9201, Burnaby WMC 3520, Burnaby 
D101 
We
11:30 AM – 12:20 PM

ASB 9838, Burnaby 

D102 
We
11:30 AM – 12:20 PM

ASB 9838, Burnaby 

D103 
Th
9:30 AM – 10:20 AM

ASB 9838, Burnaby 

D104 
Th
9:30 AM – 10:20 AM

ASB 9838, Burnaby 

D105 
Th
10:30 AM – 11:20 AM

ASB 9838, Burnaby 

D106 
Th
10:30 AM – 11:20 AM

ASB 9838, Burnaby 

D107 
We
12:30 PM – 1:20 PM

ASB 9838, Burnaby 

D108 
We
12:30 PM – 1:20 PM

ASB 9838, Burnaby 

D200 
John Edgar 
Mo, We, Fr
8:30 AM – 9:20 AM

SRYE 1002, Surrey 
D201 
Mo
10:30 AM – 11:20 AM

SRYE 4013, Surrey 

D202 
Mo
10:30 AM – 11:20 AM

SRYE 4013, Surrey 

D203 
Mo
11:30 AM – 12:20 PM

SRYE 4013, Surrey 

D204 
Mo
11:30 AM – 12:20 PM

SRYE 4013, Surrey 

D205 
Mo
12:30 PM – 1:20 PM

SRYE 4013, Surrey 

D206 
Mo
12:30 PM – 1:20 PM

SRYE 4013, Surrey 

D207 
Mo
1:30 PM – 2:20 PM

SRYE 4013, Surrey 

D208 
Mo
1:30 PM – 2:20 PM

SRYE 4013, Surrey 
An overview of various techniques used for software development and software project management. Major tasks and phases in modern software development, including requirements, analysis, documentation, design, implementation, testing,and maintenance. Project management issues are also introduced. Students complete a team project using an iterative development process. Prerequisite: One W course, CMPT 225, (MACM 101 or (ENSC 251 and ENSC 252)) and (MATH 151 or MATH 150), all with a minimum grade of C. MATH 154 or MATH 157 with at least a B+ may be substituted for MATH 151 or MATH 150. Students with credit for CMPT 275 may not take this course for further credit.
Section  Instructor  Day/Time  Location 

D100 
Tao Wang 
Mo
2:30 PM – 3:20 PM
Th 2:30 PM – 4:20 PM 
AQ 3005, Burnaby AQ 3005, Burnaby 
D200 
Bobby Chan 
We
11:30 AM – 12:20 PM
Fr 10:30 AM – 12:20 PM 
SRYC 5280, Surrey SRYC 5280, Surrey 
The curriculum introduces students to topics in computer architecture that are considered fundamental to an understanding of the digital systems underpinnings of computer systems. Prerequisite: Either (MACM 101 and (CMPT 125 or CMPT 135)) or (MATH 151 and CMPT 102 for students in an Applied Physics program), all with a minimum grade of C.
Section  Instructor  Day/Time  Location 

D100 
Arrvindh Shriraman 
Mo
12:30 PM – 1:20 PM
Th 12:30 PM – 2:20 PM 
AQ 3182, Burnaby AQ 3181, Burnaby 
D101 
Fr
1:30 PM – 2:20 PM

ASB 9838, Burnaby 

D102 
Fr
1:30 PM – 2:20 PM

ASB 9838, Burnaby 

D103 
Fr
2:30 PM – 3:20 PM

ASB 9838, Burnaby 

D104 
Fr
2:30 PM – 3:20 PM

ASB 9838, Burnaby 

D105 
Fr
3:30 PM – 4:20 PM

ASB 9838, Burnaby 

D106 
Fr
3:30 PM – 4:20 PM

ASB 9838, Burnaby 

D200 
Gregory Baker 
Mo, We, Fr
10:30 AM – 11:20 AM

SSCB 9201, Burnaby 
D201 
We
1:30 PM – 2:20 PM

ASB 9838, Burnaby 

D202 
We
1:30 PM – 2:20 PM

ASB 9838, Burnaby 

D203 
We
2:30 PM – 3:20 PM

ASB 9838, Burnaby 

D204 
We
2:30 PM – 3:20 PM

ASB 9838, Burnaby 

D205 
We
3:30 PM – 4:20 PM

ASB 9838, Burnaby 

D206 
We
3:30 PM – 4:20 PM

ASB 9838, Burnaby 

D207 
We
4:30 PM – 5:20 PM

ASB 9838, Burnaby 

D208 
We
4:30 PM – 5:20 PM

ASB 9838, Burnaby 
Introduction to counting, induction, automata theory, formal reasoning, modular arithmetic. Prerequisite: BC Math 12 (or equivalent), or any of MATH 100, 150, 151, 154, 157. Quantitative/BreadthScience.
Section  Instructor  Day/Time  Location 

D100 
Brad Bart 
Mo, We, Fr
11:30 AM – 12:20 PM

SSCB 9200, Burnaby 
D101 
Tu
2:30 PM – 3:20 PM

AQ 5005, Burnaby 

D102 
Tu
2:30 PM – 3:20 PM

AQ 5006, Burnaby 

D103 
Tu
3:30 PM – 4:20 PM

AQ 5005, Burnaby 

D104 
Tu
3:30 PM – 4:20 PM

AQ 5006, Burnaby 

D105 
Tu
4:30 PM – 5:20 PM

AQ 5006, Burnaby 

D106 
Tu
4:30 PM – 5:20 PM

AQ 5005, Burnaby 

D107 
Tu
5:30 PM – 6:20 PM

AQ 5005, Burnaby 

D108 
Tu
5:30 PM – 6:20 PM

AQ 5006, Burnaby 
Using a mathematical software package for doing calculations in linear algebra. Development of computer models that analyze and illustrate applications of linear algebra. All calculations and experiments will be done in the Matlab software package. Topics include: largescale matrix calculations, experiments with cellular automata, indexing, searching and ranking pages on the internet, population models, data fitting and optimization, image analysis, and cryptography. Prerequisite: One of CMPT 102, 120, 126, 128 or 130 and one of MATH 150, 151, 154 or 157 and one of MATH 232 or 240. MATH 232 or 240 can be taken as corequisite. Students in excess of 80 units may not take MACM 203 for further credit. Quantitative.
Using a mathematical software package for doing computations from calculus. Development of computer models that analyze and illustrate applications of calculus. All calculations and experiments will be done in the Maple software package. Topics include: graphing functions and data, preparing visual aids for illustrating mathematical concepts, integration, Taylor series, numerical approximation methods, 3D visualization of curves and surfaces, multidimensional optimization, differential equations and disease spread models. Prerequisite: One of CMPT 102, 120, 126, 128 or 130 and MATH 251. MATH 251 can be taken as a corequisite. Students in excess of 80 units may not take MACM 204 for further credit. Quantitative.
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 
Mo, We, Fr
1:30 PM – 2:20 PM

SSCB 9201, Burnaby 
D400 
Justin Chan 
Mo, We, Fr
9:30 AM – 10:20 AM

SRYC 5280, 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 
Wei Lin 
We
11:30 AM – 12:20 PM
Fr 10:30 AM – 12:20 PM 
SSCB 9201, Burnaby AQ 3182, Burnaby 
OL01 
Gamage Perera 
TBD  
OP01  TBD 
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 
MacKenzie Carr 
Mo, We, Fr
1:30 PM – 2:20 PM

BLU 9660, Burnaby 
D101 
Tu
8:30 AM – 9:20 AM

SWH 10061, Burnaby 

D102 
Tu
9:30 AM – 10:20 AM

SWH 10061, Burnaby 

D103 
Tu
10:30 AM – 11:20 AM

SWH 10061, 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.
Designed for students specializing in the life sciences. Topics include: limits, growth rate and the derivative; elementary functions, optimization and approximation methods, and their applications, integration, and differential equations; mathematical models of biological processes and their implementation and analysis using software. Prerequisite: PreCalculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 151 or 157 may not take MATH 154 for further credit. Quantitative.
Designed for students specializing in business or the social sciences. Topics include: limits, growth rate and the derivative; logarithmic, exponential and trigonometric functions and their application to business, economics, optimization and approximation methods; introduction to functions of several variables with emphasis on partial derivatives and extrema. Prerequisite: PreCalculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C, or achieving a satisfactory grade on the Simon Fraser University Calculus Readiness Test. Students with credit for either MATH 150, 151 or 154 may not take MATH 157 for further credit. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Mahsa Faizrahnemoon 
Mo, We, Fr
11:30 AM – 12:20 PM

AQ 3154, Burnaby 
OP01  TBD 
and one of
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 
Alexander Rutherford 
Mo, We, Fr
8:30 AM – 9:20 AM

SSCB 9200, Burnaby 
OP01  TBD 
Designed for students specializing in the life sciences. Topics include: vectors and matrices, partial derivatives, multidimensional integrals, systems of differential equations, compartment models, graphs and networks, and their applications to the life sciences; mathematical models of multicomponent biological processes and their implementation and analysis using software. Prerequisite: MATH 150, 151 or 154, with a minimum grade of C; or MATH 157 with a grade of at least B. Students with credit for MATH 152 or 158 may not take this course for further credit. Quantitative.
Section  Instructor  Day/Time  Location 

D100 
Vijaykumar Singh 
Mo, We, Fr
8:30 AM – 9:20 AM

AQ 3182, Burnaby 
OPO1  TBD 
Designed for students specializing in business or the social sciences. Topics include: theory of integration, integration techniques, applications of integration; functions of several variables with emphasis on double and triple integrals and their applications; introduction to differential equations with emphasis on some special firstorder equations and their applications; sequences and series. Prerequisite: MATH 150 or 151 or 154 or 157, with a minimum grade of C. Students with credit for MATH 152 or 155 may not take MATH 158 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 

D400 
Navpreet Kaur 
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 
Jonathan Jedwab 
Mo, We, Fr
11:30 AM – 12:20 PM

AQ 3149, Burnaby 
D101 
Th
9:30 AM – 10:20 AM

AQ 5005, Burnaby 

D102 
Th
2:30 PM – 3:20 PM

AQ 5005, Burnaby 

D103 
Th
3:30 PM – 4:20 PM

AQ 5005, Burnaby 
** strongly recommended
+ The following substitutions are also permitted. They may not also be used to satisfy the upper division requirements. MACM 409  Numerical Linear Algebra: Algorithms, Implementation and Applications (3) for MACM 203. MACM 401  Introduction to Computer Algebra (3) for MACM 204. MACM 442  Cryptography (3) for MACM 204.
++ with a B grade or better
Upper Division Requirements
Students complete 54 units, including all of
Design and analysis of efficient data structures and algorithms. General techniques for building and analyzing algorithms (greedy, divide & conquer, dynamic programming, network flows). Introduction to NPcompleteness. Prerequisite: CMPT 225, (MACM 201 or CMPT 210), (MATH 150 or MATH 151), and (MATH 232 or MATH 240), all with a minimum grade of C. MATH 154 or MATH 157 with a grade of at least B+ may be substituted for MATH 150 or MATH 151.
Section  Instructor  Day/Time  Location 

D100 
Valentine Kabanets 
We
3:30 PM – 4:20 PM
Fr 2:30 PM – 4:20 PM 
SSCK 9500, Burnaby SSCK 9500, Burnaby 
Formal models of computation such as automata and Turing machines. Decidability and undecidability. Recursion Theorem. Connections between computability and logic (Gödel’s Incompleteness). Time and space complexity classes. NPcompleteness. Prerequisite: (MACM 201 or CMPT 210) with a minimum grade of C.
Models of computation, methods of algorithm design; complexity of algorithms; algorithms on graphs, NPcompleteness, approximation algorithms, selected topics. Prerequisite: CMPT 307 with a minimum grade of C.
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 
Jane MacDonald 
Mo, We, Fr
10:30 AM – 11:20 AM

SSCB 9200, Burnaby 
D101 
We
2:30 PM – 3:20 PM

WMC 2830, Burnaby 

D102 
We
3:30 PM – 4:20 PM

WMC 2830, Burnaby 

D103 
We
4:30 PM – 5:20 PM

WMC 2830, Burnaby 

D104 
Th
9:30 AM – 10:20 AM

WMC 2830, Burnaby 

D105 
Th
10:30 AM – 11:20 AM

WMC 2830, Burnaby 

D106 
Th
11:30 AM – 12:20 PM

WMC 2830, Burnaby 

D107 
We
4:30 PM – 5:20 PM

AQ 5016, Burnaby 
Linear programming modelling. The simplex method and its variants. Duality theory. Postoptimality analysis. Applications and software. Additional topics may include: game theory, network simplex algorithm, and convex sets. Prerequisite: MATH 150, 151, 154, or 157 and MATH 240 or 232, all with a minimum grade of C. Quantitative.
The integers, fundamental theorem of arithmetic. Equivalence relations, modular arithmetic. Univariate polynomials, unique factorization. Rings and fields. Units, zero divisors, integral domains. Ideals, ring homomorphisms. Quotient rings, the ring isomorphism theorem. Chinese remainder theorem. Euclidean, principal ideal, and unique factorization domains. Field extensions, minimal polynomials. Classification of finite fields. Prerequisite: MATH 240 with a minimum grade of C or MATH 232 with a grade of at least B. Students with credit for MATH 332 may not take this course for further credit. Quantitative.
Fundamental concepts, trees and distances, matchings and factors, connectivity and paths, network flows, integral flows. Prerequisite: MACM 201 (with a grade of at least B). Quantitative.
and one of
This course aims to give the student an understanding of what a modern operating system is, and the services it provides. It also discusses some basic issues in operating systems and provides solutions. Topics include multiprogramming, process management, memory management, and file systems. Prerequisite: CMPT 225 and (CMPT 295 or ENSC 254), all with a minimum grade of C.
Section  Instructor  Day/Time  Location 

D100 
Hazra Imran 
Mo
10:30 AM – 12:20 PM
We 10:30 AM – 11:20 AM 
SSCK 9500, Burnaby SSCK 9500, Burnaby 
Data communication fundamentals (data types, rates, and transmission media). Network architectures for local and wide areas. Communications protocols suitable for various architectures. ISO protocols and internetworking. Performance analysis under various loadings and channel error rates. Prerequisite: CMPT 225 and (MATH 151 or MATH 150), with a minimum grade of C. MATH 154 or MATH 157 with a grade of at least B+ may be substituted for MATH 151 (MATH 150).
Section  Instructor  Day/Time  Location 

D100 
Tu
10:30 AM – 12:20 PM
Fr 10:30 AM – 11:20 AM 
SRYE 1002, Surrey SRYE 1002, Surrey 
and one of
This course provides an introduction to the fundamentals of computer graphics. Topics include graphics display and interaction hardware, basic algorithms for 2D primitives, antialiasing, 2D and 3D geometrical transformations, 3D projections/viewing, Polygonal and hierarchical models, hiddensurface removal, basic rendering techniques (color, shading, raytracing, radiosity), and interaction techniques. Prerequisite: CMPT 225 and MATH 232 or 240, all with a minimum grade of C.
Section  Instructor  Day/Time  Location 

D100 
KangKang Yin 
Tu
10:30 AM – 12:20 PM
Fr 10:30 AM – 11:20 AM 
BLU 9660, Burnaby AQ 3149, Burnaby 
This course covers the key components of a compiler for a high level programming language. Topics include lexical analysis, parsing, type checking, code generation and optimization. Students will work in teams to design and implement an actual compiler making use of tools such as lex and yacc. Prerequisite: (MACM 201 or CMPT 210), (CMPT 295 or ENSC 215) and CMPT 225, all with a minimum grade of C.
Section  Instructor  Day/Time  Location 

D100 
Thomas Shermer 
Mo
12:30 PM – 2:20 PM
We 12:30 PM – 1:20 PM 
SWH 10041, Burnaby SWH 10041, Burnaby 
and one of
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.
Review of the basics of probability, including sample space, random variables, expectation and conditioning. Applications of Markov chains, the exponential distribution and the Poisson process from science and industry. Applications may include inventory theory, queuing, forecasting, scheduling and simulation. Prerequisite: STAT 270 and (MATH 232 or MATH 240), all with a minimum grade of C. Quantitative.
Formulation, analysis and simulation of continuous mathematical models. Applications may be selected from topics in physics, biology, engineering and economics. Prerequisite: MATH 251 and MATH 260, with a minimum grade of C. Students with credit for MATH 461 or MATH 761 may not complete this course for further credit. Quantitative.
and additional course work to total 27 upper division MATH units and 27 upper division CMPT units including core requirements. MACM courses are counted in an alternating fashion towards the MATH and CMPT requirements, starting with the first MACM course completed counting towards either MATH or CMPT. 18 units must be completed at the 400 division or higher, including at least six units each of CMPT and MATH.
Students are encouraged to take either
Students must submit a proposal to the Undergraduate Chair, including the name and signature of the supervising faculty member(s). Students must complete a project report and make a project presentation. This course can satisfy the research project requirements for Computing Science honours students. Prerequisite: Students must have completed 90 units, including 15 units of upper division CMPT courses, and have a GPA of at least 3.00. The proposal must be submitted to the Undergraduate Chair at least 15 days in advance of the term. The proposal must be signed by the supervisor(s) and the undergraduate chair.
or both of
Students will develop skills required for mathematical research. This course will focus on communication in both written and oral form. Students will write documents and prepare presentations in a variety of formats for academic and nonacademic purposes. The LaTeX document preparation system will be used. Course will be given on a pass/fail basis. Corequisite: MATH 499W. Students must have an approved project prior to enrollment.
An honours research project in mathematics is an original presentation of an area or problem in mathematics. A typical project is an original synthesis of knowledge generated from students research experience. A project can contain substantive, original mathematics, but need not. The presentation consists of a written report and an oral presentation both of which must be completed before the end of the exam period. Prerequisite: 18 units of upper division MATH or MACM courses. Must be in an honours program with a GPA of at least 3.0. Corequisite: MATH 498. Students must have an approved project prior to enrollment. Writing.
Other Requirements
Of the total 120 units required for honours, at least 60 must be from the upper division.
The program is subject to Faculty of Science and University regulations. Course and prerequisite admission is subject to departmental requirements. MACM major graduation is contingent upon a cumulative grade point average (CGPA) and upper division grade point average (UDGPA) of 3.00 or better. Students must also achieve a 3.00 or better CGPA and UDGPA in each of the CMPT, MACM and MATH designations.
Admission, continuation and graduation in the MACM honours is contingent upon 3.00 or better on all relevant GPAs. Faculty of Applied Sciences residency requirements appy to the computing science courses used toward the program.
Cooperative Education and Work Experience
All computing science students are strongly encouraged to explore the opportunities that Work Integrated Learning (WIL) can offer. Please contact a computing science or mathematics coop advisor during the first year of studies to ensure that you have all of the necessary courses and information to help plan for a successful coop experience.
Visit http://www.cs.sfu.ca/undergraduate/coop.html for more computing science information, or for mathematics, http://www.sfu.ca/coop/contact#science.
University Honours 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.
Please see Faculty of Applied Sciences Residency Requirements for further information.
Elective Courses
In addition to the courses listed above, students should consult a Mathematics or Computing Science advisor to plan the remaining required elective courses.