School of Information Technology
Faculty of Engineering and Design
BIT 1000 [0.5 credit]
Mathematics I for NET
Tailored for students in the Network Technology program, this course covers differentiation and integration of the elementary functions, definite and indefinite integrals, partial differentiation, sequences, series, and techniques and applications of integration.
Mathematics I for NET
Tailored for students in the Network Technology program, this course covers differentiation and integration of the elementary functions, definite and indefinite integrals, partial differentiation, sequences, series, and techniques and applications of integration.
Precludes additional credit for BIT 1100, BIT 1200, ECON 1401, ECON 1402, MATH 1002, MATH 1004, MATH 1007, MATH 1009, MATH 1401, MATH 1402.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures: three hours a week, tutorial/laboratory one hour a week.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures: three hours a week, tutorial/laboratory one hour a week.
BIT 1001 [0.5 credit]
Mathematics II for NET
Tailored for students in the Network Technology program, this course covers systems of linear equations, vector space of n-tuples, subspaces and bases, matrix transformations, kernel, range, matrix algebra and determinants, inner products and orthogonality, eigenvalues, diagonalization and applications.
Mathematics II for NET
Tailored for students in the Network Technology program, this course covers systems of linear equations, vector space of n-tuples, subspaces and bases, matrix transformations, kernel, range, matrix algebra and determinants, inner products and orthogonality, eigenvalues, diagonalization and applications.
Precludes additional credit for BIT 1101, BIT 1201, ECON 1401, ECON 1402, MATH 1104, MATH 1107, MATH 1119, MATH 1401, MATH 1402.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial and laboratory one hour a week.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial and laboratory one hour a week.
BIT 1002 [0.5 credit]
Physics for Information Technology I
An introductory course on energy, thermodynamics, sound and electromagnetic waves, optics, and modern physics. Practical skills are learned in the laboratory, which is a required part of the course. Restricted to students in the B.I.T. degree program.
Physics for Information Technology I
An introductory course on energy, thermodynamics, sound and electromagnetic waves, optics, and modern physics. Practical skills are learned in the laboratory, which is a required part of the course. Restricted to students in the B.I.T. degree program.
Precludes additional credit for PHYS 1001, PHYS 1003, PHYS 1007.
Lectures three hours a week, tutorial 1.
Lectures three hours a week, tutorial 1.
BIT 1003 [0.5 credit]
Physics for Information Technology II
Electrostatics, electric field and potential. Capacitors, inductors. Study of DC and AC Circuits. Introduction to semiconductors. Practical skills are learned in the laboratory, which is a required part of the course.
Physics for Information Technology II
Electrostatics, electric field and potential. Capacitors, inductors. Study of DC and AC Circuits. Introduction to semiconductors. Practical skills are learned in the laboratory, which is a required part of the course.
Precludes additional credit for PHYS 1002, PHYS 1004, PHYS 1008.
Prerequisite(s): BIT 1002.
Lectures three hours a week, tutorial one hour a week.
Prerequisite(s): BIT 1002.
Lectures three hours a week, tutorial one hour a week.
BIT 1006 [0.5 credit]
Elective
Students must choose from among a list of approved Electives at Algonquin College.
Elective
Students must choose from among a list of approved Electives at Algonquin College.
Precludes additional credit for BIT 2003 (no longer offered).
Prerequisite(s): restricted to students in the B.I.T. degree program.
Prerequisite(s): restricted to students in the B.I.T. degree program.
BIT 1100 [0.5 credit]
Mathematics I for IMD
Tailored for students in the interactive Multi-media Design program, this course covers limits, differentiation of the elementary functions, including trigonometric functions.Rules of differentiation.Applications of differentiation: max-min problems, curve sketching, approximations.A brief introduction to integration.
Mathematics I for IMD
Tailored for students in the interactive Multi-media Design program, this course covers limits, differentiation of the elementary functions, including trigonometric functions.Rules of differentiation.Applications of differentiation: max-min problems, curve sketching, approximations.A brief introduction to integration.
Precludes additional credit for BIT 1000, BIT 1200, ECON 1401, ECON 1402, MATH 1002, MATH 1004, MATH 1007, MATH 1009, MATH 1401, MATH 1402.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial/laboratory one hour a week.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial/laboratory one hour a week.
BIT 1101 [0.5 credit]
Mathematics II for IMD
Tailored for students in the interactive Multi-media Design program, this course covers systems of linear equations, vector space of n-tuples, subspaces and bases, matrix transformations, kernel, range, matrix algebra and determinants, inner products and orthogonality, eigenvalues, diagonalization and applications.
Mathematics II for IMD
Tailored for students in the interactive Multi-media Design program, this course covers systems of linear equations, vector space of n-tuples, subspaces and bases, matrix transformations, kernel, range, matrix algebra and determinants, inner products and orthogonality, eigenvalues, diagonalization and applications.
Precludes additional credit for BIT 1001, BIT 1201, ECON 1401, ECON 1402, MATH 1104, MATH 1107, MATH 1119, MATH 1401, MATH 1402.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial and laboratory one hour a week.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial and laboratory one hour a week.
BIT 1200 [0.5 credit]
Mathematics I for PLT
Limits. Differentiation of the elementary functions. Rules of differentiation. Inverse trigonometric functions. Applications of differentiation: max-min problems, curve sketching, approximations. Definite and indefinite integrals, techniques of integration. Applications to areas and volumes.
Mathematics I for PLT
Limits. Differentiation of the elementary functions. Rules of differentiation. Inverse trigonometric functions. Applications of differentiation: max-min problems, curve sketching, approximations. Definite and indefinite integrals, techniques of integration. Applications to areas and volumes.
Precludes additional credit for BIT 1000, BIT 1100, MATH 1002, MATH 1004, MATH 1007, MATH 1009.
Prerequisite(s): Restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial/laboratory one hour a week.
Prerequisite(s): Restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial/laboratory one hour a week.
BIT 1201 [0.5 credit]
Mathematics II for PLT
Systems of linear equations. Matrix algebra. Determinants. Invertible matrix theorem. Cramer’s rule. Vector space R^n; subspaces, bases. Eigenvalues, diagonalization. Linear transformations, kernel, range. Complex numbers (including De Moivre’s theorem). Inner product spaces and orthogonality. Applications.
Mathematics II for PLT
Systems of linear equations. Matrix algebra. Determinants. Invertible matrix theorem. Cramer’s rule. Vector space R^n; subspaces, bases. Eigenvalues, diagonalization. Linear transformations, kernel, range. Complex numbers (including De Moivre’s theorem). Inner product spaces and orthogonality. Applications.
Precludes additional credit for BIT 1001, BIT 1101, MATH 1102, MATH 1104, MATH 1107, MATH 1119, MATH 1401/ECON 1401, MATH 1402/ECON 1402. Note: MATH 1119 is not an acceptable substitute for MATH 1104.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial and laboratory one hour a week.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial and laboratory one hour a week.
BIT 1203 [0.5 credit]
Physics for Photonics I
Mechanics, gravitation, oscillations, and thermodynamics. The application of calculus to solve problems in these areas of physics is introduced. This course is intended for students in the physical sciences and engineering. The laboratory is an essential and autonomous part of the course.
Physics for Photonics I
Mechanics, gravitation, oscillations, and thermodynamics. The application of calculus to solve problems in these areas of physics is introduced. This course is intended for students in the physical sciences and engineering. The laboratory is an essential and autonomous part of the course.
Precludes additional credit for PHYS 1001, PHYS 1002 and PHYS 1007.
Prerequisite(s): Grade 12 Physics or equivalent, plus Grade 12 Mathematics: Advanced Functions or equivalent, plus one of MATH 1004 or MATH 1002 (the MATH course may be taken concurrently). Note that Grade 12 Calculus and Vectors or Grade 12 Geometry and Discrete Mathematics is strongly recommended. Restricted to students in the B.I.T. degree program.
Lectures three hours a week, laboratory or tutorial three hours a week.
Prerequisite(s): Grade 12 Physics or equivalent, plus Grade 12 Mathematics: Advanced Functions or equivalent, plus one of MATH 1004 or MATH 1002 (the MATH course may be taken concurrently). Note that Grade 12 Calculus and Vectors or Grade 12 Geometry and Discrete Mathematics is strongly recommended. Restricted to students in the B.I.T. degree program.
Lectures three hours a week, laboratory or tutorial three hours a week.
BIT 1204 [0.5 credit]
Physics for Photonics II
This calculus-based course introduces electricity, magnetism, oscillations, waves and optics. The laboratory is an essential and autonomous part of the course.
Physics for Photonics II
This calculus-based course introduces electricity, magnetism, oscillations, waves and optics. The laboratory is an essential and autonomous part of the course.
Precludes additional credit for PHYS 1002, PHYS 1004 and PHYS 1008.
Prerequisite(s): (BIT 1200 or MATH 1004), and (BIT 1203 or ECOR 1101 (may be taken concurrently) or PHYS 1001 or PHYS 1003 or PHYS 1007)(a grade of at least B- is required for PHYS 1007), or permission of the Department. Restricted to students in the B.I.T. degree program.
Lectures three hours a week, laboratory or tutorial three hours a week.
Prerequisite(s): (BIT 1200 or MATH 1004), and (BIT 1203 or ECOR 1101 (may be taken concurrently) or PHYS 1001 or PHYS 1003 or PHYS 1007)(a grade of at least B- is required for PHYS 1007), or permission of the Department. Restricted to students in the B.I.T. degree program.
Lectures three hours a week, laboratory or tutorial three hours a week.
BIT 1400 [0.5 credit]
Introduction to Programming and Problem Solving
Introduction to basic concepts of algorithm design and computer programming in C/C++. Topics include computer architecture, algorithms and pseudocode, basic operators, variables and functions, program control with iteration and conditionals, I/O operations, text processing, structures, arrays, pointers, and debugging.
Introduction to Programming and Problem Solving
Introduction to basic concepts of algorithm design and computer programming in C/C++. Topics include computer architecture, algorithms and pseudocode, basic operators, variables and functions, program control with iteration and conditionals, I/O operations, text processing, structures, arrays, pointers, and debugging.
Precludes additional credit for IMD 1003, NET 1000 and PLT 1000.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial/laboratory three hours a week.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial/laboratory three hours a week.
BIT 2000 [0.5 credit]
Introduction to Statistics for NET
Tailored for students in the Network Technology program, this course covers data analysis, introduction to probability theory, some standard discrete and continuous distributions and their application to interval estimation and significance testing, computational aspects of statistics.
Introduction to Statistics for NET
Tailored for students in the Network Technology program, this course covers data analysis, introduction to probability theory, some standard discrete and continuous distributions and their application to interval estimation and significance testing, computational aspects of statistics.
Precludes additional credit for BIT 2100, BIT 2300, ENST 2006, GEOG 2006, STAT 2507.
Prerequisite(s): restricted to students in the BIT degree program.
Lectures three hours a week, tutorial/laboratory one hour a week.
Prerequisite(s): restricted to students in the BIT degree program.
Lectures three hours a week, tutorial/laboratory one hour a week.
BIT 2001 [0.5 credit]
Introduction to Business
An overview of the most fundamental business functions. The management of people, human resources, marketing, accounting and finances, business law and operations.
Introduction to Business
An overview of the most fundamental business functions. The management of people, human resources, marketing, accounting and finances, business law and operations.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures: three hours a week.
Lectures: three hours a week.
BIT 2002 [0.5 credit]
Marketing in the IT sector
Basic problems and practices in marketing. Marketing strategies, planning, packaging, branding and promotion at the level of the individual firm; distribution channels.
Marketing in the IT sector
Basic problems and practices in marketing. Marketing strategies, planning, packaging, branding and promotion at the level of the individual firm; distribution channels.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week.
Lectures three hours a week.
BIT 2004 [0.5 credit]
Differential Equations For Photonics
First-order differential equations. Second-order linear equations with constant coefficients, undetermined coefficients, variation of parameters. Sequences and series, convergence tests, estimation of sums. Power series, Taylor series, remainders. Fourier series.
Differential Equations For Photonics
First-order differential equations. Second-order linear equations with constant coefficients, undetermined coefficients, variation of parameters. Sequences and series, convergence tests, estimation of sums. Power series, Taylor series, remainders. Fourier series.
Precludes additional credit for MATH 1002, MATH 1005, MATH 2007, and MATH 2404.
Prerequisite(s): i) BIT 1200 (or MATH 1004); and ii) BIT 1201 (or MATH 1104 or MATH 1107), either previously or concurrently; or equivalents; or permission of the School. Restricted to students in the B.I.T. degree program.
Lectures three hours a week, laboratory three hours a week.
Prerequisite(s): i) BIT 1200 (or MATH 1004); and ii) BIT 1201 (or MATH 1104 or MATH 1107), either previously or concurrently; or equivalents; or permission of the School. Restricted to students in the B.I.T. degree program.
Lectures three hours a week, laboratory three hours a week.
BIT 2005 [0.5 credit]
Multivariate Calculus for Photonics
Curves and surfaces. Polar, cylindrical and spherical coordinates. Partial derivatives, gradients, extrema and Lagrange multipliers. Exact differentials. Multiple integrals over rectangular and general regions. Integrals over surfaces. Line integrals. Vector differential operators. Green’s Theorem, Stokes’ theorem, Divergence Theorem. Applications.
Multivariate Calculus for Photonics
Curves and surfaces. Polar, cylindrical and spherical coordinates. Partial derivatives, gradients, extrema and Lagrange multipliers. Exact differentials. Multiple integrals over rectangular and general regions. Integrals over surfaces. Line integrals. Vector differential operators. Green’s Theorem, Stokes’ theorem, Divergence Theorem. Applications.
Also listed as MATH 2004.
Precludes additional credit for MATH 2000, MATH 2004 and MATH 2008.
Prerequisite(s): BIT 2004 or MATH 1005 or MATH 2007; and ii) BIT 1201 or MATH 1104 or MATH 1107; or permission of the School. Restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial one hour a week.
Precludes additional credit for MATH 2000, MATH 2004 and MATH 2008.
Prerequisite(s): BIT 2004 or MATH 1005 or MATH 2007; and ii) BIT 1201 or MATH 1104 or MATH 1107; or permission of the School. Restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial one hour a week.
BIT 2006 [0.5 credit]
Elective
Students must choose from among a list of approved Electives at Algonquin College.
Elective
Students must choose from among a list of approved Electives at Algonquin College.
Precludes additional credit for BIT 3003 (no longer offered).
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, or as arranged.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, or as arranged.
BIT 2100 [0.5 credit]
Introduction to Statistics for IMD
Tailored for students in the Interactive Multimedia Design program, this course covers data analysis, introduction to probability theory, some standard discrete and continuous distributions and their application to interval estimation and significance testing, computational aspects of statistics.
Introduction to Statistics for IMD
Tailored for students in the Interactive Multimedia Design program, this course covers data analysis, introduction to probability theory, some standard discrete and continuous distributions and their application to interval estimation and significance testing, computational aspects of statistics.
Precludes additional credit for BIT 2000, BIT 2300, ENST 2006, GEOG 2006, STAT 2507.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial/laboratory one hour a week.
Prerequisite(s): restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial/laboratory one hour a week.
BIT 2300 [0.5 credit]
Introduction to Statistics for PLT
A data-driven introduction to statistics. Basic descriptive statistics, introduction to probability theory, random variables, various discrete and continuous distributions, contingency tables and goodness-of-fit, sampling distributions, distribution of sample mean, Central Limit Theorem, application to interval estimation and hypothesis testing.A statistical software package will be used.
Introduction to Statistics for PLT
A data-driven introduction to statistics. Basic descriptive statistics, introduction to probability theory, random variables, various discrete and continuous distributions, contingency tables and goodness-of-fit, sampling distributions, distribution of sample mean, Central Limit Theorem, application to interval estimation and hypothesis testing.A statistical software package will be used.
Precludes additional credit for BIT 2000, BIT 2100, ECON 2200, ECON 2201, GEOG 2006, STAT 2507, STAT 2606, STAT 3502.
Prerequisite(s): an Ontario Grade 12 university-preparation Mathematics or equivalent, or permission of the School of Information Technology. Restricted to students in the BIT degree program.
Lectures three hours a week, tutorial/laboratory one hour a week.
Prerequisite(s): an Ontario Grade 12 university-preparation Mathematics or equivalent, or permission of the School of Information Technology. Restricted to students in the BIT degree program.
Lectures three hours a week, tutorial/laboratory one hour a week.
BIT 2400 [0.5 credit]
Intermediate Programming
Introduction to object-oriented programming using C++ language. Topics include detailed study of pointers and structures, encapsulation of data and code through objects and classes, inheritance, polymorphism, object- oriented program design, class libraries, user interface objects and event-driven systems.
Intermediate Programming
Introduction to object-oriented programming using C++ language. Topics include detailed study of pointers and structures, encapsulation of data and code through objects and classes, inheritance, polymorphism, object- oriented program design, class libraries, user interface objects and event-driven systems.
Precludes additional credit for IMD 2004, NET 2006 and PLT 2004.
Prerequisite(s): BIT 1400. Restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial/laboratory three hours a week.
Prerequisite(s): BIT 1400. Restricted to students in the B.I.T. degree program.
Lectures three hours a week, tutorial/laboratory three hours a week.
BIT 3999 [0.0 credit]
Co-operative Work Term
Co-operative Work Term
BIT 4000 [0.5 credit]
Directed Studies
A course of independent study under the supervision of a member of the School of Information Technology, open only to students in the B.I.T. program. Students are required to obtain their supervisor's written approval prior to registration and are limited to one such course in their programs.
Directed Studies
A course of independent study under the supervision of a member of the School of Information Technology, open only to students in the B.I.T. program. Students are required to obtain their supervisor's written approval prior to registration and are limited to one such course in their programs.
Prerequisite(s): permission of the School of Information Technology.
BIT 4001 [0.5 credit]
Selected Topics in Information Technology
Topics not ordinarily treated in the regular course program due to their contemporary subject matter. The choice of topics varies from year to year.
Selected Topics in Information Technology
Topics not ordinarily treated in the regular course program due to their contemporary subject matter. The choice of topics varies from year to year.
Prerequisite(s): third-year standing in the BIT Program or permission of the department.
Lecture three hours a week.
Lecture three hours a week.
Summer session: some of the courses listed in this Calendar are offered during the summer. Hours and scheduling for summer session courses will differ significantly from those reported in the fall/winter Calendar. To determine the scheduling and hours for summer session classes, consult the class schedule at central.carleton.ca
Not all courses listed are offered in a given year. For an up-to-date statement of course offerings for the current session and to determine the term of offering, consult the class schedule at central.carleton.ca