Table of Contents
The study of computing ranges from hands-on applications to pure theory, and includes the analysis of algorithms, the study of computer architectures, compilers and operating systems, networks, and software engineering. Our goal is to introduce students to all facets of the discipline, and to give them an appreciation of the historical, ethical, and social context of computing, and the responsibility of the computer professional and casual computer user in a modern society.
The Department offers a broad variety of courses and programs in Computer Science. Introductory courses may teach programming and theories of computing or offer a general overview of the use and application of popular microcomputer software; more advanced courses deal with topics ranging from artificial intelligence and the role of computers in society to the design and implementation of advanced hardware or software systems. All courses in the computing curriculum offer a blend of theory and practical application, with many of the offerings having a significant project component in which students are given the opportunity to apply the classroom material to real-world problems. Courses are designed to address the needs of a wide variety of users, from the casual to the professional. Some students may enrol in a course to familiarize themselves with the microcomputer and application software, while others may choose to pursue a minor or a major in Computer Science. Students may choose to select Computer Science in combination with areas such as English, Economics, Philosophy, or Physics. Mount Allison has been quite successful in placing its students in graduate programs in Computer Science, while many others have found employment after graduation in one of the many computer-related fields.
12 | from COMP 1631, 1731, 2611, 2631 |
6 | from COMP 2211, 2931, MATH 1111 |
6 | from Computer Science at the 3/4000 level |
18 | from COMP 1631, 1731, 2211, 2611, 2631, 2931 |
12 | from COMP 3611, 3721, 3911, 4721 |
3 | from COMP 3361, 3971 |
9 | from Computer Science at the 3/4000 level |
6 | from MATH 1111, 2221 |
3 | from MATH 1121, 1131, 2311 |
9 | from complementary courses in Arts and Letters, Humanities and Social Sciences chosen in consultation with the Program Advisor |
18 | from COMP 1631, 1731, 2211, 2611, 2631, 2931 |
12 | from COMP 3611, 3721, 3911, 4721 |
3 | from COMP 3361, 3971 |
9 | from Computer Science at the 3/4000 level |
6 | from MATH 1111, 2221 |
6 | from MATH 1121, 2311 |
6 | from CHEM 1001, PHYS 1051, 1551 |
3 | from BIOL 1001, BIOL 1501, BIOC 1001, GENS 1401, PSYC 1001 or PSYC 1011 |
60 | Credits as in the B.A. Major, plus |
3 | from Computer Science at the 3/4000 level |
6 | from Computer Science or Mathematics at the 3/4000 level |
6 | from COMP 4990 |
63 | Credits as in the B.Sc. Major, plus |
3 | from Computer Science at the 3/4000 level |
6 | from Computer Science or Mathematics at the 3/4000 level |
6 | from COMP 4990 |
18 | from COMP 1631, 1731, 2211, 2611, 2631, 2931 |
15 | from MATH 1111, 1121, 2111, 2121, 2221 |
9 | from MATH 3111, 3211, 3311 |
3 | from MATH 3011, 3221, 3231, 3251, 4221 |
3 | from Mathematics at the 3/4000 levels |
3 | from COMP 3361, 3971 |
15 | from COMP 3411, 3611, 3721, 3911, 4721 |
9 | from Computer Science or Mathematics at the 3/4000 level |
9 | from CHEM 1001, 1021; PHYS 1051, 1551 (only for B.Sc.) |
3 | from BIOL 1001, BIOL 1501, BIOC 1001, GENS 1401, PSYC 1001 or PSYC 1011 (only for B. Sc.) |
Note: The listing of a course in the Calendar is not a guarantee that the course is offered every year.
Note: Students must obtain a grade of at least C- in all courses used to fulfill prerequisite requirements. Otherwise, written permission of the appropriate Department Head or Program Co-ordinator must be obtained.
COMP 1631 (3.00)
Introduction to Computer Science
Exclusion: COMP 1611, COMP 1711, any COMP 2000 level or higher
An introduction to computer science providing a broad survey of the discipline and an introduction to programming. Survey topics will be chosen from: origins of computers, data representation and storage, Boolean algebra, digital logic gates, computer architecture, assemblers and compilers, operating systems, networks and the Internet, theories of computation, and artificial intelligence. (Format: Lecture 3 Hours, Laboratory 3 Hours) [Note 1: University preparatory level course in Mathematics is required.]
COMP 1731 (3.00)
Programming Techniques and Algorithms
Prereq: COMP 1631; or permission of the Department
In the context of solving several larger problems, the techniques of topdown problem solving will be emphasized in order to further develop good programming style. Topics include: documentation, debugging and testing, string processing, internal searching and sorting, elementary data structures, recursion and algorithmic analysis. (Format: Lecture 3 Hours, Laboratory 3 Hours)
COMP 1991 (3.00)
Special Topic in Computer Science
This course either focuses on topics not covered by the current course offerings in a department or program or offers the opportunity to pilot a course that is being considered for inclusion in the regular program. (Format: Variable) [Note 1: Prerequisite set by Department/Program when the topic and level are announced. Note 2: When a Department or Program intends to offer a course under this designation, it must submit course information, normally at least three months in advance, to the Dean. Note 3: Students may register for COMP 1991 more than once, provided the subject matter differs.]
COMP 2211 (3.00)
Discrete Structures
Prereq: MATH 1111 or 1151; or permission of the Department
An introduction to the terminology and concepts of discrete mathematics, covering such topics as: logical arguments, proofs and algorithm verification, sets, relations, functions and cardinality of sets, induction and recursion, enumeration, algorithms and complexity. (Format: Lecture 3 Hours) [Note 1: This course is cross-listed with MATH 2211 and may therefore count as three credits in either discipline.]
COMP 2611 (3.00)
Data Structures and Algorithms I
Prereq: COMP 1731; or permission of the Department
Effective methods of data organization, focussing on data structures and their algorithms via abstract data types with use of recursive procedures. Design of flexible file structures and related methods e.g. indexes, system file structures, hashed access. Object oriented programming techniques are used in depth. (Format: Lecture 3 Hours, Laboratory 3 Hours)
COMP 2631 (3.00)
Data Structures and Algorithms II
Prereq: COMP 2611; or permission of the Department
Advanced structures for data organization, with an emphasis on associated algorithms and their complexity. Topics include: binary and text file structures, compression, distributed computing, event-driven programming, advanced user interface design. (Format: Lecture 3 Hours, Laboratory 3 Hours)
COMP 2931 (3.00)
Introduction to Systems Programming
Prereq: COMP 1731; or permission of the Department
This course is an introduction to programming at the systems level. Topics include: basic machine organization, assembly language, the UNIX environment, shell scripting, and C/C++ programming. (Format: Lecture 3 Hours, Laboratory 3 Hours)
COMP 2991 (3.00)
Special Topic in Computer Science
This course either focuses on topics not covered by the current course offerings in a department or program or offers the opportunity to pilot a course that is being considered for inclusion in the regular program. (Format: Variable) [Note 1: Prerequisite set by Department/Program when the topic and level are announced. Note 2: When a Department or Program intends to offer a course under this designation, it must submit course information, normally at least three months in advance, to the Dean. Note 3: Students may register for COMP 2991 more than once, provided the subject matter differs.]
COMP 3361 (3.00)
Digital Signal Processing and Electronics
Prereq: COMP 1631 and PHYS 1551; or permission of the Department
This course introduces students to both digital electronic circuits and digital signal processing, and would be valuable both for those planning to go on in technical careers in computer science or in physics, and for scientists who wish to develop tools for the collection and analysis of data. Topics to be covered include digital logic gates, Boolean algebra, counting circuits, digital signal conditioning, sampling considerations such as the Nyquist criterion, analog to digital and digital to analog conversion, Fourier Transform theory and application as FFT, correlation and convolution, digital filtering using finite impulse response and infinite impulse response circuits including the ztransform and filter design, and digital image processing including two dimensional FFT techniques, microprocessors, microcontrollers and digital signal processing integrated circuits. (Format: Lecture 3 Hours, Laboratory 3 Hours) [Note 1: This course is cross-listed with PHYS 3361 and may therefore count as three credits in either discipline.]
COMP 3411 (3.00)
Numerical Analysis
Prereq: MATH 1121, 3 credits in Computer Science; or permission of the Department
This course introduces numerical methods for solving a variety of problems in mathematics, the natural sciences, and engineering and the implementation of numerical methods on a computer. Topics include numerical stability, polynomial approximation and interpolation, integration and solution of differential equations, solution of linear and nonlinear systems of equations and matrix factorization. (Format: Lecture 3 Hours) [Note 1: This course is cross-listed with MATH 3411 and may therefore count as three credits in either discipline.]
COMP 3511 (3.00)
Linear Programming
Prereq: MATH 2221, 3 credits in Computer Science; or permission of the Department
Among the topics covered are linear and integer programming, the simplex and revised simplex methods, duality theory and sensitivity analysis, and various applications. (Format: Lecture 3 Hours) [Note 1: This course is cross-listed with MATH 3511 and may therefore count as three credits in either discipline.]
COMP 3531 (3.00)
Simulation and Modeling
Prereq: MATH 1111; one of MATH 2311, 3311, PSYC 2001 and 2011; 3 credits in Computer Science; or permission of the Department
An introduction to the simulation technique for studying mathematical models. Specific topics to be considered include: systems theory and system models, continuous system simulation, discrete system simulation, Monte Carlo methods, random number generators, and simulation languages. Emphasis will be placed upon computer implementation of the methods studied. (Format: Lecture 3 Hours) [Note 1: This course is cross-listed with MATH 3531 and may therefore count as three credits in either discipline.]
COMP 3611 (3.00)
Algorithm Analysis
Prereq: COMP 2631, COMP/MATH 2211; or permission of the Department
This course applies analysis and design techniques to non-numeric algorithms that act on data structures. The design of efficient algorithms leads to in-depth investigations of computational complexity such as NP-hard problems. (Format: Lecture 3 Hours)
COMP 3651 (3.00)
Artificial Intelligence
Prereq: COMP 2631, COMP/MATH 2211; or permission of the Department
This course introduces general problem solving methods associated with automated reasoning and simulated intelligence. Topics include: state space heuristic search theory, mechanical theorem proving, game playing, natural language processing, propositional logic, learning and cognitive models and expert systems. (Format: Lecture 3 Hours)
COMP 3711 (3.00)
Principles of Programming Languages
Prereq: COMP 2631, 2931; or permission of the Department
An introduction to the principles of design and implementation of procedural and functional programming languages; modular, object and logic programming. Topics include language syntax and processors and semantic models of data and control structures. (Format: Lecture 3 Hours)
COMP 3721 (3.00)
Object-Oriented Design and Methodology
Prereq: COMP 2631; or permission of the Department
Continues the introduction to object-oriented programming begun in earlier CS courses, emphasizing further development of algorithms, data structures, software engineering, and the social context of computing. (Format: Lecture 3 Hours, Laboratory 3 Hours)
COMP 3811 (3.00)
Database Systems
Prereq: COMP 2631, 2931, COMP/MATH 2211; or permission of the Department
An introduction to major types of database systems, and experience with at least one database model. The theoretical and practical aspects of the relational model are emphasized, including database query systems and database design. (Format: Lecture 3 Hours)
COMP 3831 (3.00)
Computer Graphics
Prereq: COMP 2631, 2931, MATH 2221; or permission of the Department
This course introduces the principles and tools of interactive computer graphics: implementation of device drivers, 3D transformations, clipping, perspective views, input routines, user interface design, data structures, hidden lines, surface removal, colour shading and ray tracing. (Format: Lecture 3 Hours)
COMP 3851 (3.00)
Computers and Society
Prereq: 6 credits from the Science division, including 3 credits from Computer Science, and third or fourth-year standing; or permission of the Department
This course examines the historical development and growth of the computer and related digital technology. The impact of the computer and the digitalization of society are discussed, including ethical issues related to the modern information age. Privacy and data protection, computer crime, data theft, and legal issues in software creation and use are examined. The responsibilities of the computer professional and computer user are examined from the technical, personal, and societal perspectives. (Format: Lecture 3 Hours) [Note 1: Counts as a Commerce elective for students taking a Bachelor of Commerce or a Major or Minor in Commerce.]
COMP 3911 (3.00)
Operating Systems
Prereq: COMP 2931; or permission of the Department
This course examines the major concepts underlying the design of operating systems such as process management, scheduling, memory management, device management, security, and network structures. (Format: Lecture 3 Hours)
COMP 3971 (3.00)
Computer Organization and Architecture
Prereq: COMP 2631, 2931; or permission of the Department
This course introduces modern computer design and its relation to system architecture and program function. Topics include system bus design, memory organization, I/O device access, instruction set design, instruction pipelining, leading to an investigation of how these tools are used to support multi-processor systems. (Format: Lecture 3 Hours)
COMP 3991 (3.00)
Special Topic in Computer Science
This course either focuses on topics not covered by the current course offerings in a department or program or offers the opportunity to pilot a course that is being considered for inclusion in the regular program. (Format: Variable) [Note 1: Prerequisite set by Department/Program when the topic and level are announced. Note 2: When a Department or Program intends to offer a course under this designation, it must submit course information, normally at least three months in advance, to the Dean. Note 3: Students may register for COMP 3991 more than once, provided the subject matter differs.]
COMP 4631 (3.00)
Theory of Computation
Prereq: COMP 1731, COMP/MATH 2211; or permission of the Department
This course is an introduction to theoretical aspects of Computer Science such as formal language and automata theory and complexity theory. (Format: Lecture 3 Hours) [Note 1: This course is cross-listed with MATH 4631 and may therefore count as three credits in either discipline.]
COMP 4651 (3.00)
Cryptography
Prereq: COMP 1731, COMP/MATH 2211, MATH 2221; or permission of the Department
This course is an introduction to cryptographic algorithms and to the cryptanalysis of these algorithms, with an emphasis on the fundamental principles of information security. Topics include: classical cryptosystems, modern block and stream ciphers, public-key ciphers, digital signatures, hash functions, key distribution and agreement. (Format: Lecture 3 Hours) [Note 1: This course is cross-listed with MATH 4651 and may therefore count as three credits in either discipline.]
COMP 4721 (3.00)
Software Design
Prereq: COMP 3721, and third-year standing; or permission of the Department
This course focuses on software design culminating in a major project. It studies life cycle models and their phases: planning, requirements, specifications, design, implementation, testing, and maintenance. (Format: Lecture 3 Hours, Laboratory 2 Hours)
COMP 4911 (3.00)
Computer Networks
Prereq: COMP 2631, 2931; or permission of the Department
An introduction to computer network applications and design. Topics will include: layered models, data transmission protocols, network topology, and security. (Format: Lecture 3 Hours)
COMP 4950 (6.00)
Independent Study in Computer Science
This course permits senior students, under the direction of faculty members, to pursue their interest in areas not covered, or not covered in depth, by other courses through a program of independent study. (Format: Independent Study) [Note 1: Permission of the Department/Program Advisor. Students must obtain consent of an instructor who is willing to be a supervisor and must register for the course prior to the last day for change of registration in the term during which the course is being taken. Note 2: A program on Independent Study cannot duplicate subject matter covered through regular course offerings. Note 3: Students may register for COMP 4950/51 more than once, provided the subject matter differs.]
COMP 4951 (3.00)
Independent Study in Computer Science
This course permits senior students, under the direction of faculty members, to pursue their interest in areas not covered, or not covered in depth, by other courses through a program of independent study. (Format: Independent Study) [Note 1: Permission of the Department/Program Advisor. Students must obtain consent of an instructor who is willing to be a supervisor and must register for the course prior to the last day for change of registration in the term during which the course is being taken. Note 2: A program on Independent Study cannot duplicate subject matter covered through regular course offerings. Note 3: Students may register for COMP 4950/51 more than once, provided the subject matter differs.]
COMP 4990 (6.00)
Honours Thesis
Independent research and study under direction of a member of the Department; for students in Computer Science Honours program. (Format: Independent Study/Thesis) [Note 1: Consent of supervising staff member and permission of the Department required.]
COMP 4991 (3.00)
Special Topic in Computer Science
This course either focuses on topics not covered by the current course offerings in a department or program or offers the opportunity to pilot a course that is being considered for inclusion in the regular program. (Format: Variable) [Note 1: Prerequisite set by Department/Program when the topic and level are announced. Note 2: When a Department or Program intends to offer a course under this designation, it must submit course information, normally at least three months in advance, to the Dean. Note 3: Students may register for COMP 4991 more than once, provided the subject matter differs.]