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Information and Systems Science
See the School of Mathematics and Statistics; Department of Systems
and Computer Engineering; or the School of Computer Science
The Committee
Chair of the Committee, To be announced
The program of graduate study and research leading to the degree of
Master of Science in Information and Systems Science is offered by the
Committee with the cooperation of the Department of Systems and Computer
Engineering, the School of Mathematics and Statistics, and the School of
Computer Science.
The purpose of the program is to provide training in the use and application
of computers, to those who have not studied extensively in this field at
the undergraduate level. The process of using the computer in problem-solving
is stressed. The program is flexible, though individual concentrations
are usually in one of three broad areas:
* computer applications in a particular field (e.g., communications,
energy systems)
* algorithms and methodologies for solution of complex problems by
computer (e.g., graph theory, operations research, optimization, simulation
and modelling)
* computer methods and technologies (e.g., databases, software engineering,
computer languages)
Close links are maintained with the scientific, industrial, and technological
communities, and an effort is made to direct students to project work of
current practical significance.
Qualifying-Year Program
Applicants who have a general (3 year) bachelor's degree, or who otherwise
lack the required undergraduate preparation, may be admitted to a qualifying-year
program. Refer to the General Regulations section of this Calendar for
regulations governing the qualifying year.
Master of Science
Admission Requirements
Applicants should have an Honours bachelor's degree, or equivalent, with
at least high honours standing, in mathematics, engineering, physics, chemistry,
computer science, operations research, experimental psychology, econometrics,
management science, or a related discipline. Undergraduate preparation
should include at least 2.0 credits in computing and a minimum of 3.0 credits
in mathematics, at least one of which is at the third-year level or higher.
In addition, the student is required to have some knowledge of quantitative
applications, such as numerical analysis, simulation, operations research,
etc.
Admission to the program will be made through one of the three participating
departments. Since space and laboratory facilities will be provided by
one of the departments, students should apply through the department with
which they wish to be most closely associated.
Program Requirements
The normal program comprises 4.0 credits and a 1.5 credit thesis; additional
requirements may also be stipulated, depending upon the individual student's
background. With the approval of the Committee, students who have substantial
work experience may be permitted to substitute, in place of the thesis,
1.5 credit courses, one of which must be a graduate project course.
Students must take at least 1.0 credit from the department in which
they are registered, and at least 0.5 credit from each of the other two
participating departments. Students must also take course Information and
Systems Science 93.582.
Each student should consult with his/her faculty adviser in the selection
of a course pattern related to his/her principal area of interest.
Each candidate submitting a thesis will be required to undertake an
oral examination on the subject of his/her thesis.
Course work may be completed on either a full-time or part-time basis.
Thesis research normally requires full-time residence at the University;
however, a candidate may be permitted to carry out thesis work off campus
provided that suitable arrangements are made for supervision and experimental
work, and prior approval is given by the Committee.
Guidelines for Completion of Master's Degree
Full-time students in the M.Sc. in Information and Systems Science will
normally complete the degree requirements in two years and part-time students
within four years. In order to meet this goal, full-time students should
arrange a thesis supervisor within the first term of study, and should
try to complete the course requirements as quickly as possible.
Graduate Courses
Not all of the following courses are offered in a given year. For an
up-to-date statement of course offerings for 2000-2001, please consult
the Registration Instructions and Class Schedule booklet published
in the summer.
F,W,S indicates term of offering. Courses offered in the fall and winter
are followed by T. The number following the letter indicates the credit
weight of the course: 1 denotes 0.5 credit, 2 denotes 1.0 credit.
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Information and Systems Science 93.582F1
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Introduction to Information and Systems Science
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An introduction to the process of applying computers in problem solving.
Emphasis is placed on the design and analysis of efficient computer algorithms
for large, complex problems. Applications in a number of areas are presented:
data manipulation, databases, computer networks, queuing systems, optimization.
(Also listed as Mathematics 70.582, Engineering 94.582, Computer Science
95.582)
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Information and Systems Science 93.598F3, W3, S3
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M.Sc. Thesis in Information and Systems Science
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(Also listed as Mathematics 70.598, Engineering 94.598, Computer Science
95.598)
School of Mathematics and Statistics
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Undergraduate Courses
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70.301 Real Analysis
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70.302 Advanced Calculus
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70.310 Modern Algebra
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70.350 Mathematical Statistics
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70.403 Functional Analysis
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70.451 Probability Theory
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70.452 Survey Sampling
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70.453 Applied Multivariate Analysis
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70.456 Non-Parametric Methods
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70.457 Statistical Inference
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70.458 Stochastic Models
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70.459 Topics in Stochastic Optimization and Advanced Mathematical Modelling
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70.470 Partial Differential Equations
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70.471 Topics in Partial Differential Equations
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70.473 Qualitative Theory of Ordinary Differential Equations
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70.481 Topics in Combinatorics
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70.482 Introduction to Mathematical Logic
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70.483 Computable Functions
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70.485 Theory of Automata
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70.486 Numerical Linear Algebra
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70.487 Game Theory
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70.488 Graph Theory and Algorithms
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70.496 Directed Studies
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Graduate Courses
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70.507, 70.508, 70.517, 70.519, 70.552, 70.553, 70.554, 70.555, 70.556,
70.557, 70.558, 70.559, 70.561, 70.565, 70.567, 70.569, 70.571, 70.581,
70.583, 70.584, 70.585, 70.586, 70/95.587, 70.588, 70.589, 70.590, 70.591,
70.593
Department of Systems and Computer Engineering
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Undergraduate Courses
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94.303 Introduction to Real-Time Systems
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94.310 Systems Analysis
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94.333 Real-Time Concurrent Systems
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94.351 Communication Theory
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94.361 Microprocessor Systems
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94.401 Operating Systems
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94.405 Discrete Simulation and its Applications
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94.445 Discrete Time Systems
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94.457 Architecture of Computer Systems
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94.460 Digital Communications
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94.462 Introduction to Computer Communications
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94.480 Software Engineering
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94.481 Software Engineering Project
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94.485 Computer Systems Design Laboratory
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Graduate Courses
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94.501, 94.504, 94.505, 94/95.507, 94.511, 94.517, 94.518, 94.519, 94.521,
94.527, 94.531, 94.535, 94.538, 94.541, 94.542, 94.552, 94.553, 94.554,
94.558, 94.560, 94.561, 94.562, 94.563, 94.564, 94.565, 94.566, 94.567,
94.568, 94.569, 94.571, 94.573, 94.574, 94.576, 94.577, 94.579, 94.581,
94.583, 94.584, 94.596
School of Computer Science
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Undergraduate Courses
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95.300 Operating Systems
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95.304 Software Systems Development
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95.305 Database Management Systems
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95.401 Distributed Computing
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95.402 Computer Graphics
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95.403 Transaction Processing Systems
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95.407 Applied Artificial Intelligence
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95.409 Introduction to Parallel and Systolic Computing
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95.410 Multimedia Systems
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95.413 Computer Security and Cryptography
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Graduate Courses
- 95.501, 95.502, 95.503, 95.504, 95.505, 95.506, 94/95.507, 95.508, 95.509,
95.510, 95.511, 95.512, 95.513, 95.514, 95.515, 95.516, 95.520, 95.522,
95.524, 95.526, 95.528, 95.573, 95.574
Due to the interdisciplinary nature of ISS, a student will in some cases
benefit by taking an undergraduate course at the 300- or 400-level as part
of his/her program. Where a 300-level course is to be taken, it will be
extra to the degree requirements, or else arrangements will be made to
enrich the subject matter,
normally through a directed study course with the professor. Students
may include 1.0 credit at the 400-level in their program without penalty,
with the approval of the Department. The 300- and 400-level courses listed
here are those most likely to interest ISS students; see the Undergraduate
Calendar for a complete list. Students in the program are prohibited
from taking Computer Science 95.484 Design and Analysis of Algorithms due
to overlap of course material with Information and Systems Science 93.582.
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