Mathematical Sciences  Bachelor of Science
Overview
Mathematics is the study of numbers, shapes, and relationships. Computer Science is the study of algorithms. Statistics is the science of collecting and analyzing data. Put them all together, and you get mathematical sciences.
To major in mathematical sciences means you choose two of the following disciplines: Computer Science, Mathematics, Statistics, and successfully complete the required number of courses. You may also choose to minor in any of the other disciplines offered in the Bachelor of Science program.
Contact Information
Department of Mathematics and Statistics
Room 5107, City Centre Campus
10700  104 Avenue
Edmonton, AB T5J 4S2
T: 7804975786
Arts and Science Academic Advising
Room 6211, City Centre Campus
T: 7804974505
E: artsandscience@macewan.ca
Bachelor of Science
Faculty of Arts and Science
MacEwan.ca/Science
The Bachelor of Science (BSc) is a foundational general degree that provides broad and widely applicable knowledge and abilities rather than a niche specialization. This broad base equips graduates with generalist knowledge and skills that give the flexibility and agility so highly valued in a dynamic world economy. It also offers students a solid foundation to specialize in future employment or further schooling.
The degree provides a breadth of study across various Arts and Science disciplines and sets the foundation for later years. The major and minor areas of study allow students to focus and gain indepth expertise in complementary or entirely disparate disciplines; there is a wide array of possible combinations. Finally, options enable students to explore courses outside their disciplines or even within their program, enhancing their diversity of learning. The small classes, close interaction between instructors and students, opportunities for individual study, and faculty with a strong focus on teaching are signature strengths of this program.
General Program Information
The BSc requires students to complete 120 credits of nonduplicative coursework. The BSc emphasizes breadth and depth and has been designed for exceptional flexibility and customization. Students can complete a major and a minor, a double major, or a major and two minors. Students can choose a secondary major in an Arts or Science discipline, but the primary major must be in a Science discipline.
All newly admitted students enter the BSc program as “Undeclared.” Undeclared means a student has not yet chosen their major(s) and minor(s). Students may declare at any time after being accepted to the BSc, and typically, they declare after completing a minimum of 45 credits. The declaration period for noncompetitive majors and minors is between September 1 and February 15 and between September 1 and January 15 for competitive majors and minors. The Arts and Science Academic Advising Office will send information about majors and minors via email and newsletters; please contact the Advising Office if you require further assistance with this decision.
Science Disciplines
Discipline  Major  Minor  Honours 

Applied Statistics  ⦿    ⦿ 
Biological Sciences  ⦿  ⦿  ⦿ 
Chemistry  ⦿  ⦿   
Computer Science  ⦿  ⦿   
Earth and Planetary Sciences    ⦿   
Environmental Sciences    ⦿   
Mathematics  ⦿  ⦿  ⦿ 
Mathematical Sciences  ⦿     
Planetary Physics    ⦿   
Physical Sciences  ⦿     
Physics    ⦿   
Psychology  ⦿  ⦿  ⦿ 
Statistics    ⦿   
Arts Disciplines
Discipline  Major  Minor 

Anthropology  ⦿  ⦿ 
Classics  ⦿  
Creative Writing  ⦿  
Economics  ⦿  ⦿ 
English  ⦿  ⦿ 
Film Minor for Arts and Science  ⦿  
French  ⦿  
Gender Studies  ⦿  
History  ⦿  ⦿ 
Philosophy  ⦿  ⦿ 
Political Science  ⦿  ⦿ 
Sociology  ⦿  ⦿ 
Spanish  ⦿ 
Out of Faculty Minors
Discipline  Minor 

Accounting Minor for Arts and Science  ⦿ 
Arts and Cultural Management  ⦿ 
Business Law  ⦿ 
Business Studies  ⦿ 
Digital Experience Design  ⦿ 
Finance Minor for Arts and Science  ⦿ 
Human Resources Minor for Arts and Science  ⦿ 
Marketing Minor for Arts and Science  ⦿ 
Laddering a Diploma into the Bachelor of Science
Students with an accredited diploma can ladder into the Bachelor of Science (BSc) and use some of their diploma coursework towards their degree requirements. If you have questions about the diploma laddering process, please visit www.macewan.ca/bscstudent or contact artsandscience@macewan.ca.
Preparing for Professional Studies
Students intending to enter professional programs at other universities can take their preprofessional programs in the Faculty of Arts and Science at MacEwan University. The university offers the first and second years of several preprofessional programs, including chiropractic medicine, dental hygiene, dentistry, medical laboratory science, medicine, optometry, pharmacy, and veterinary medicine. All courses in these preprofessional programs are credit courses, and, as such, they may apply to the degrees offered by MacEwan University.
Students are advised to consult the admissions requirements for the universities and programs of their choice and to select their MacEwan University courses accordingly. Completing preprofessional courses at MacEwan University does not guarantee admission to the subsequent professional program. Each professional program requires a separate application, and entry is competitive, not automatic.
Degree Requirements
Breadth Requirements
All Bachelor of Science degrees require Breadth Requirements. Courses can satisfy both the breadth requirements and requirements for the major(s), minor(s), Honours, or options. BIOL, CHEM, EASC, or PHYS courses must include a laboratory component.
Breadth Element  Description  Credits 

Biological or Earth and Planetary Sciences  BIOL or EASC (not including BIOL 101, BIOL 102, or BIOL 103)  6 
Chemistry or Physics  CHEM or PHYS  6 
English  ENGL 102 and 3 credits in university English (not including ENGL 111, ENGL 108, or ENGL 211)  6 
Humanities  CLAS, COMP, HIST, HUMN, PHIL or a language other than English  6 
Mathematical Sciences  One of MATH 114, MATH 120, or MATH 125, and 3 credits in MATH, STAT, or CMPT (not including MATH 160, MATH 170, or CMPT 104)  6 
Social Sciences  ANTH, ECON, GEND, LING, POLS, PSYC, or SOCI  6 
Bachelor of Science Degree
Program Element  Description  Credits 

Primary Major  The Science major will range from 42 to 60 credits with a minimum 36 credits taken at the seniorlevel.^{1}  4260 
Secondary Major or Minor(s)  Students have the option of completing a second Science or Arts major, or one or two minors. Minor courses must be completed at the seniorlevel.^{1}  1860 
Options  Students can complete up to 18 credits in outoffaculty options, with no more than 3 credits in physical activity (PACT) courses  Up to 60 
Total Degree Credits Including Breadth  120 
 ^{ 1 }
Multidisciplinary majors consist of 6072 junior and seniorlevel credits. Students majoring in mathematical or physical sciences may pursue a minor but are not required to do so.
Bachelor of Science Honours
Program Element  Description  Credits 

Minimum Honours Requirements  Honours requirements are determined by each discipline.  63 
Option Courses, NonCompulsory Honours Courses, and/or a Minor  Students have the option of completing a minor from outside of the Honours discipline. Some disciplines may require a minor.  57 
Total Degree Credits Including Breadth  120 
The minimum passing grade for a course at MacEwan University is a D unless otherwise noted next to the appropriate course in the program of study. In the Faculty of Arts and Science, students typically require a minimum grade of C to use a course as a prerequisite. Please check course descriptions for more information.
CrossFaculty Course Recognitions
CrossFaculty course recognition represents an agreement between programs within MacEwan University and consists of a number of approved courses that have the potential to be recognized within another degree. These courses are not considered transfers or equivalents as the original course will show within a student's transcript and their Academic Planning and Progress Report (APPR). How the courses listed below might be used within a student’s degree are determined by the student’s program of study. They are dependent on a number of factors including year of declaration, year of completion, and individual program requirements.
OutofFaculty Course  Course Recognition  Course Used For 

ACUP 117  ARTOP 1XX  Options; fulfills Humanities Breadth 
ACUP 209  SCIOP 2XX  Options 
ACUP 220, ACUP 303, and ACUP 304 (must complete all three courses)  COSL 200 (6 credits)  Options 
ACUP 320  SCIOP 3XX  Options 
AGAD 300  COSL 300  Options 
AGAD 435  WINL 300  Options 
ARTE 104  ARTOP 1XX  Options; fulfills Humanities Breadth 
ARTE 214  ARTOP 2XX  Options; fulfills Humanities Breadth 
ARTE 224  ARTOP 2XX  Options; fulfills Humanities Breadth 
ARTE 234  ARTOP 2XX  Options; fulfills Humanities Breadth 
ARTE 304  ARTOP 3XX  Options; fulfills Humanities Breadth 
ARTE 314  ARTOP 3XX  Options; fulfills Humanities Breadth 
ARTE 324  ARTOP 3XX  Options; fulfills Humanities Breadth 
CORR 102  SOCI 1XX  Options or Sociology program requirements; fulfills Social Science Breadth 
CORR 104  SOCI 1XX  Options or Sociology program requirements; fulfills Social Science Breadth 
CORR 110  SOCI 225  Options or Sociology program requirements; fulfills Social Science Breadth 
CORR 120  SOCI 2XX  Options or Sociology program requirements; fulfills Social Science Breadth 
CORR 202  ARTOP 2XX  Options 
CORR 208  ARTOP 2XX  Options 
CORR 214  COSL 200  Options 
CORR 218  SOCI 321  Options or Sociology program requirements; fulfills Social Science Breadth 
CORR 224  COSL 200  Options 
CYCW 100  PSYC 2XX  Options or Psychology program requirements; fulfills Social Science Breadth 
CYCW 108 and CYCW 112  SOCI 1XX  Options or Sociology program requirements; fulfills Social Science Breadth 
CYCW 115  SOCI 2XX  Options or Sociology program requirements; fulfills Social Science Breadth 
CYCW 114  ARTOP 1XX  Options 
CYCW 201  PSYC 2XX  Options or Psychology program requirements; fulfills Social Science Breadth 
CYCW 204  COSL 200  Options 
CYCW 205  SOCI 2XX  Options or Sociology program requirements; fulfills Social Science Breadth 
CYCW 206  ARTOP 2XX  Options 
CYCW 208  SOCI 2XX  Options or Sociology program requirements; fulfills Social Science Breadth 
CYCW 211  SOCI 2XX  Options or Sociology program requirements; fulfills Social Science Breadth 
CYCW 302  ARTOP 3XX  Options; fulfills Social Science Breadth 
CYCW 303  ARTOP 3XX  Options; fulfills Social Science Breadth 
CYCW 339  ARTOP 3XX  Options; fulfills Social Science Breadth 
CYCW 340  SOCI 2XX  Options or Sociology program requirements; fulfills Social Science Breadth 
CYCW 350  SOCI 2XX  Options or Sociology program requirements; fulfills Social Science Breadth 
CYCW 360  SOCI 3XX  Options or Sociology program requirements; fulfills Social Science Breadth 
CYCW 361  SOCI 2XX  Options or Sociology program requirements; fulfills Social Science Breadth 
CYCW 466  ARTOP 4XX  Options 
DESN 270  ARTOP 2XX  Options; fulfills Humanities Breadth 
DESN 271  ARTOP 2XX  Options; fulfills Humanities Breadth 
ECCS 110  PSYC 1XX  Options or Psychology program requirements; fulfills Social Science Breadth 
ECCS 115  ARTOP 1XX  Options 
ECCS 160  PSYC 2XX  Options or Psychology program requirements; fulfills Social Science Breadth 
ECCS 180  SOCI 2XX  Options or Sociology program requirements; fulfills Social Science breadth 
ECCS 220  COSL 200  Options 
ECCS 255  ARTOP 2XX  Options 
ECCS 260  SOCI 2XX  Options or Psychology program requirements; fulfills Social Science Breadth 
ECCS 270  COSL 200  Options 
ECCS 310  SOCI 3XX  Options or Sociology program requirements; fulfills Social Science Breadth 
ECCS 355  SOCI 3XX  Options or Sociology program requirements; fulfills Social Science Breadth 
ECCS 360  SOCI 3XX  Options or Sociology program requirements; fulfills Social Science Breadth 
ECCS 425  SOCI 4XX  Options or Sociology program requirements; fulfills Social Science Breadth 
ECDV 160  ARTOP 1XX  Options 
ECDV 220  COSL 200  Options 
ECDV 255  ARTOP 2XX  Options 
ECDV 260  SOCI 2XX  Options or Sociology program requirements; fulfills Social Science Breadth 
ECDV 270  COSL 270  Options 
ECDV 280  PSYC 2XX  Options or Psychology program requirements; fulfills Social Science Breadth 
FNCE 301  ECON 3XX  Options or Economics program requirements; fulfills Social Science Breath 
HAPR 101  SCIOP 1XX  Options 
HAPR 104  ARTOP 1XX  Options 
HAPR 114  WINL 200  Options 
HAPR 201  ARTOP 2XX  Options 
HAPR 212  WINL 200  Options 
HEED 110  ARTOP 1XX  Options 
HEED 120  SCIOP 1XX  Options 
HLSC 104  SCIOP 1XX  Options 
HLSC 105  SCIOP 1XX  Options 
HLSC 120  BIOL 1XX  Options or Biological Sciences program requirements 
HLSC 124  BIOL 1XX  Options or Biological Sciences program requirements 
HLSC 126  BIOL 1XX  Options or Biological Sciences program requirements 
HLSC 128  BIOL 2XX  Options or Biological Sciences program requirements 
HLST 150  SCIOP 1XX  Options 
HLST 210  ARTOP 2XX  Options 
HLST 290  SCIOP 1XX  Options 
INFM 101  ARTOP 1XX  Options 
INFM 202  ARTOP 2XX  Options 
INFM 208  ARTOP 2XX  Options 
INFM 209  ARTOP 2XX  Options 
INFM 210  ARTOP 2XX  Options 
INFM 260  COSL 200  Options 
INTA 210  ARTOP 2XX  Options; fulfills Humanities Breadth 
INTA 362  ARTOP 3XX  Options 
MTST 120  BIOL 1XX  Options or Biological Sciences program requirements 
MTST 122  BIOL 1XX  Options or Biological Sciences program requirements 
MTST 125  BIOL 1XX  Options or Biological Sciences program requirements 
MTST 126  BIOL 1XX  Options or Biological Sciences program requirements 
MTST 161, MTST 162, MTST 260, MTST 261, MTST 262  COSL 200  Options 
MUSC 104  ARTOP 1XX  Options 
MUSC 123  ARTOP 1XX  Options; fulfills Social Science Breadth 
MUSC 124  ARTOP 1XX  Options; fulfills Social Science Breadth 
PEDS 100  BIOL 1XX  Options or Biological Sciences program requirements 
PEDS 101  BIOL 1XX  Options or Biological Sciences program requirements 
PEDS 103  BIOL 2XX  Options or Biological Sciences program requirements 
PEDS 109  SCIOP 1XX  Options 
PEDS 200  BIOL 2XX  Options or Biological Sciences program requirements 
PEDS 203  SCIOP 2XX  Options 
PEDS 206  BIOL 2XX  Options or Biological Sciences program requirements 
PEDS 207  BIOL 2XX  Options or Biological Sciences program requirements 
PEDS 209  ARTOP 2XX  Options 
PEDS 240  SCIOP 1XX  Options 
PERL 104  ARTOP 1XX  Options 
PERL 204  ARTOP 2XX  Options 
PERL 207  ARTOP 2XX  Options 
PSSC 102  ARTOP 1XX  Options 
PSSC 112  ARTOP 1XX  Options 
PSSC 121  SOCI 1XX  Options or Sociology program requirements; fulfills Social Science Breadth 
PSSC 203  ARTOP 2XX  Options 
PSSC 204  ARTOP 2XX  Options 
PSSC 212  ARTOP 2XX  Options 
PSSC 252  ARTOP 2XX  Options 
PSSC 253  ARTOP 2XX  Options 
PSSC 272  COSL 200  Options 
PSSC 273  COSL 200  Options 
SOWK 101  ARTOP 1XX  Options; fulfills Humanities Breadth 
SOWK 111  ARTOP 1XX  Options 
SOWK 112  ARTOP 1XX  Options 
SOWK 203  ARTOP 2XX  Options 
SOWK 204  SOCI 2XX  Options or Sociology program requirements; fulfills Social Science Breadth 
TAST 101  ARTOP 1XX  Options 
TAST 129 and TAST 130  COSL 200  Options 
THAR 240  ARTOP 2XX  Options 
THAS 101  ARTOP 1XX  Options 
THAS 102  SCIOP 1XX  Options 
THAS 115  ARTOP 1XX  Options 
THAS 203  COSL 200  Options 
THAS 210  COSL 200  Options 
THAS 211  COSL 200  Options 
THAS 214  COSL 200  Options 
THAS 222  ARTOP 2XX  Options 
THPR 205  ARTOP 2XX  Options; fulfills Humanities Breadth 
THPR 206  ARTOP 2XX  Options; fulfills Humanities Breadth 
THPR 214  COSL 200  Options 
THPR 224  COSL 200  Options 
Mathematical Sciences Requirements
Mathematical Sciences Major
The Bachelor of Science (BSc) in Mathematical Sciences program requires students to complete 120 credits of nonduplicative coursework. The major is comprised of three disciplines – computer science, mathematics, and statistics. Students select two of the three as their primary disciplines. While students in this major are not required to complete a minor, if any of computer science, mathematics or statistics disciplines are chosen as a minor, all seniorlevel credits in that discipline will only count toward the minor.
Students are required to complete option courses as well as the Mathematical Sciences Major and the possible minor. All BSc degrees require Breadth Requirements. Courses can satisfy both the breadth requirements and requirements for the major(s), minor(s), or options.
The Mathematical Sciences Major is 60 to 72 credits with a minimum of 42 seniorlevel credits. Students must complete:
 a minimum of three credits at the 300 or 400level in each of their primary disciplines,
 a minimum of 12 credits at the 300 or 400level across their primary disciplines, and
 at least 3 credits in a 400level class in one of their primary disciplines.
If mathematics is a primary discipline – STAT 265, STAT 266, STAT 312, and STAT 412 may be used to fulfill this requirement.
Bachelor of Science  Mathematical Sciences Major
Code  Title  Credits 

Specific Major Requirements  
MATH 114  Elementary Calculus I  3 
MATH 115  Elementary Calculus II  3 
MATH 120  Basic Linear Algebra I  3 
or MATH 125  Linear Algebra I  
CMPT 101  Introduction to Computing I  3 
or CMPT 103  Introduction to Computing II  
General Major Requirements  
Primary Discipline I  
Choose 18 to 24 junior or seniorlevel credits from the first primary discipline  1824  
Primary Discipline II  
Choose 18 to 24 junior or seniorlevel credits from the second primary discipline  1824  
General Requirements  
Choose 6 to 12 credits of junior or senior level CMPT, MATH, or STAT  612  
Minor  
Students have the option of completing a minor. Minor courses must be completed at the senior level.  018  
Options  
Students can complete up to 18 credits in outoffaculty options, with no more than 3 credits in physical activity (PACT) courses.  3060  
Total Credits  120 
Degree Regulations
Students are strongly encouraged to seek advice from the faculty advisors about program planning.
Academic Residency  Credit Requirements
In addition to the academic residency requirements of the University, upon admission to the Bachelor of Science (BSc), students must complete at MacEwan University:
 A minimum of 24 credits at the seniorlevel in the major discipline, with 12 of those senior credits completed at the 300 or 400level. All 400level requirements are to be completed at MacEwan University.
 If applicable, a minimum of nine credits in a minor at the seniorlevel, with at least three of those credits completed at the 300 or 400level.
Students with a previous MacEwan University credential are required to complete a minimum of 45 credits upon admission to the BSc.
Students who hold a baccalaureate degree from another postsecondary institution must complete a minimum of 60 additional MacEwan University credits applicable to the BSc. Fortyfive of these credits must be completed while the students is enrolled in the BSc. This credit requirement applies to students who began their studies at MacEwan University and completed a credential at another institution.
Students who interrupt their program and who must apply for readmission to the program will be required to comply with any new regulations upon resumption of their studies.
Breadth Requirements
Courses taken to fulfil the major, minor, or option requirements can also be used to satisfy breadth requirements.
Declaration of a Major and Minor
Students are advised to declare a primary major and minor, or primary major and a secondary major, or a major and two minors by the time they have completed 45 credits. Primary majors are selected from Science disciplines and consist of 42 to 60 junior and seniorlevel credits; secondary majors can be from an Science or Arts discipline. Multidisciplinary majors consist of 6072 junior and seniorlevel credits. Except for students in an Honours program, a maximum of 60 credits may be completed from any one discipline for credit towards the degree. A major and minor cannot be in the same discipline and students may not declare more than one outoffaculty minor. Students can redeclare their major(s) and/or minor(s) if required.
For students completing multiple majors or minors, the Faculty cannot guarantee a schedule of classes that will permit students to complete their degree in eight consecutive fall and winter semesters. Furthermore, depending on the configuration of the student's degree, meeting the requirements for the degree may require the completion of more than 120 credits for graduation. Students are strongly encouraged to consult with an academic advisor in the Faculty of Arts and Science Advising Office and a discipline advisor in their major and minor prior to this declaration. Students majoring in mathematical or physical sciences may pursue a minor but are not required to do so.
Restricted Enrolment Courses
The Faculty of Arts and Science strives to accommodate all students wishing to enrol in a given course when it is appropriate to their program: however, classes in some courses must, for academic reasons, be restricted in size. If such a course is found to be oversubscribed, priority in registration will be given to those students whose programs may require it (e.g., majors, Honours, and/or minors) and then to other students as space permits.
Graduation Grade Point Average
As part of the Graduation Grade Point Average regulation above, Bachelor of Science students must obtain an overall GGPA of 2.0 or higher, with a minimum GPA of 2.0 on all courses credited toward the major(s) and a minimum GPA of 2.0 on all courses credited toward the minor(s).
Graduation Requirements
Graduation requirements are governed by the date on which a student declares their major(s) and minor(s). Students who declare their major(s) and minor(s) on or before the published deadline are bound by the requirements of the current academic year. Those students who declare after this date are bound by the programs of study and degree requirements of the upcoming academic year as published in the MacEwan Academic Calendar.
Junior  and SeniorLevel Courses
Courses numbered from 100 to 199 are considered juniorlevel and courses numbered from 200 to 499 are considered seniorlevel.
Major or Minor 300 and 400 Level Requirements
The 300 and 400level requirements in the major or minor cannot consist solely of project, field placement, and/or individual study courses.
Maximum Independent Courses
The maximum number of credits for independent work (project, field placement, and/or individual study courses) excluding the Honours Thesis, is 15 credits. Specific disciplines may have further restrictions.
Maximum JuniorLevel Courses
A maximum of 48 credits at the 100level are permitted in completion of the B.Sc. degree. Additional courses at the 100level are extra to the 120 credits required to complete the B.Sc. degree and will not be counted toward fulfilment of graduation requirements.
Minimum Science Courses
Students are required to complete successfully a minimum of 72 total credits from Science courses.
Minimum Passing Grade
A minimum grade of D or credit CR is required for all Science degree courses unless otherwise noted next to the appropriate course in the program of study.
Minimum Transfer Grade for Credit
A minimum grade of D is required on any transfer credit granted for the program. Unless otherwise stated, Arts and Science courses require a minimum grade of C when the course is used as a prerequisite. Transfer credit decisions made by the university are final and cannot be appealed.
OutofFaculty Options Requirements
Students may take a maximum of 18 credits from courses offered by a MacEwan University Faculty or School other than Arts and Science. Students completing an outoffaculty minor or laddering students who have met the minor requirements with a MacEwan University diploma must complete their degree requirements from courses offered within the Faculty of Arts and Science or from the list of CrossFaculty Course Recognitions in the Academic Calendar. Courses deemed as CrossFaculty Course Recognitions are used to fulfill inFaculty courses within the BSc and do not count as outofFaculty options.
Progression of Studies
Students are responsible for ensuring they meet the prerequisite and/or corequisite requirements as noted on all courses that may fulfill Bachelor of Science program requirements.
Honours Regulations
Overall Requirements
The Honours program of study consists of 63 to 84 credits as determined by the discipline. Students in the Honours program may choose to complete a minor outside of the Honours discipline. Some disciplines may require a minor.
Acceptance to Honours
For consideration of admittance/acceptance into Honours, students must present a minimum of 45 universitylevel credits applicable to the program of study, with a GPA of 3.0 or higher. They must complete 24 of the 45 credits in the last 12 months; however, exceptions to this rule may occur with the approval of the Honours discipline advisor. Individual departments may have additional requirements noted in their program of study.
Course Load
Students accepted into an Honours program must complete 24credits in each twelve consecutive months they are in the program. Exceptions to this rule may occur with the approval of the Honours discipline advisor.
Grade Point Average
Students accepted and enrolled in the Science Honours program must maintain a minimum overall GPA of 3.0 across all courses in the degree. As well, students must maintain a minimum GPA of 3.3 across a set of courses designated by each discipline for each twelve consecutive months following acceptance into the Honours program. Failure to do so will result in the student’s program status reverting to BSc with a major in the previous Honours discipline.
Graduation Grade Point Average
In order to graduate, students must obtain an overall GGPA of 3.0 or higher, with a minimum GPA of 3.3 on all courses credited toward the Honours program of study.
Program Learning Outcomes
Faculty of Arts and Science DegreeLevel Learning Outcomes
Thinking about knowledge is at the core of University education and learning within the Faculty of Arts and Science. Students develop capacities to “thinkthrough”  to practice wonder, reflection, and engage in thoughtful inquiry and dialogue. Thinkingthrough involves questioning beyond the confines of one's immediate personal, social, and disciplinary surroundings. First, knowledge is acquired and understood. Learning moves beyond acquiring information and data to a formally disciplined manner of thinking about knowledge. Next, knowledge is interrogated by asking and answering questions, distinguishing between opinion and knowledge, and developing tools to assess reasons and evidence. Finally, knowledge is synthesized as students develop coherent arguments, and link ideas together beyond what is immediately apparent. Learning is a lifelong creative process of discovery and action that happens beyond the classroom and the degree. Our graduates interact with and contribute to their community by integrating and applying the research and communication skills and ways of knowing developed through their education. Learning outcomes capture the observable knowledge, skills, and abilities graduates acquire that are the foundation of learning.
Graduates will demonstrate their ability to “thinkthrough” by:
 Analysing puzzles, problems, concepts, and theories.
 Conceptualizing questions based on disciplinary knowledge.
 Evaluating knowledge within and across disciplines in ways that acknowledge historical, cultural, and social contexts.
Graduates will demonstrate research and scholarship skills by:
 Applying appropriate research skills and ethical principles.
 Interpreting results appreciating the value and limits of conclusions.
 Recognizing how research involves an ongoing process of reflection, dialogue, and reassessment.
Graduates will demonstrate diverse skills for communication by:
 Conveying complex ideas coherently in a variety of formats.
 Appraising information in ways that consider context and audience.
 Interpreting the ideas and arguments of others in ways that reflect their knowledge, judgement, and comprehension.
Graduates will demonstrate durable skills necessary for learning beyond their degree by:
 Collaborating with diverse groups.
 Examining different perspectives and challenging biases and preconceptions.
 Exploring the continuous impact and limitations of disciplinary knowledge and expertise.
Mathematical Sciences Program Learning Outcomes
1. RememberingDefine mathematical, statistical, and computer science concepts clearly and concisely, and support them with examples.
2. UnderstandingShow proficiency in mathematical, statistical, and computer science terms and concepts to follow and evaluate arguments by using different strategies across these disciplines. Have an awareness of questions to which the mathematical sciences can provide answers.
3. Creating and ApplyingDevelop a strategy to formulate and solve a mathematical sciences problem. Use a critical integrated knowledge system to form a judgement and apply it in formulating a mathematical sciences problem and use disciplineappropriate reasoning skills to solve the problem.
4. AnalyzingAnalyze qualitatively diverse mathematical, statistical, and computer science representations using various processes.
5. EvaluatingProve ability in applying mathematical, statistical, and computer science principles and processes in solving problems in the mathematical sciences, other disciplines, and everyday life.
Student Plan
 The student plan provides a suggested course sequence with the minimum number of credits required for the major
 The suggested course sequence depends on course availability, the student's schedule, and the student's choice of minor(s) or secondary major
 It is highly recommended that students complete their Breadth Requirements by the end of year 2
 The major is comprised of three disciplines  computer science, mathematics, and statistics. Students select two of the three as primary disciplines

Year 1 Credits MATH 114 3 MATH 115 3 Choose 3 credits (1 course) from the following: 3 Choose 3 credits (1 course) from the following: 3 ENGL 102 3 Breadth Requirements 15 30 Year 2 Credits Choose 9 junior or seniorlevel credits (3 courses) from the first primary discipline 9 Choose 9 junior or seniorlevel credits (3 courses) from the second primary discipline 9 Breadth, Option, Minor(s), or Primary or Secondary Major Requirements 12 30 Year 3 Credits Choose 6 credits (2 courses) with a minimum of 3 credits (1 course) at the 300level from the first primary discipline 6 Choose 6 credits (2 courses) with a minimum of 3 credits (1 course) at the 300level from the second primary discipline 6 Choose 3 credits (1 course) from junior or seniorlevel CMPT, MATH, or STAT 3 Options, Minor(s), or Primary or Secondary Major Requirements 15 30 Year 4 Credits Choose 6 seniorlevel credits (2 courses) with a minimum of 3 credits (1 course) at the 300 or 400level from the first primary discipline 6 Choose 6 seniorlevel credits (2 courses) with a minimum of 3 credits (1 course) at the 300 or 400level from the second primary discipline 6 Choose 3 credits (1 course) from junior or seniorlevel CMPT, MATH, or STAT 3 Options, Minor(s), or Primary or Secondary Major Requirements 15 30 Total Credits 120
Expected Course Offerings
Following is a list of expected course offerings for fall 2024 and winter 2025. We will update the list with expected courses scheduled for fall 2025 and winter 2026 in February 2024. While some might change, students can be assured that required courses will be available.
Computer Science Course Offerings
Code  Title  Credits 

Fall 2024  
Introduction to Computing I  
Introduction to Computing II  
Data Structures and Algorithms  
Practical Programming Methodology  
Unix, Scripting, and Other Tools  
Introduction to Computer Games  
Introduction to Human Computer Interaction  
Formal Systems and Logic in Computing Science  
Introduction to File and Database Management  
Introduction to ObjectOriented Programming  
Computers and Society  
Introduction to Numerical Methods  
Introduction to Operating Systems  
Introduction to Networks  
Introduction to Computer Graphics  
Cryptology from Classical to PostQuantum  
Introduction to Software Engineering  
Topics in Computer Science  
3D Game Development and Artificial Intelligence  
Computer Network Security  
Datamining and Advanced Database Topics 
Code  Title  Credits 

Winter 2025  
Introduction to Computing I  
Introduction to Computing II  
Data Structures and Algorithms  
Practical Programming Methodology  
Algorithms I  
Computer Organization and Architecture  
Introduction to Human Computer Interaction  
Formal Systems and Logic in Computing Science  
Introduction to Computer Security  
Introduction to Robotics: Programming and Control  
Web Application Development  
Introduction to Real Time Gaming  
Introduction to Data Visualization  
Introduction to Artificial Intelligence  
Introduction to Operating Systems  
Introduction to Networks  
Computer Systems Security  
Database Management Systems  
Introduction to Software Engineering  
Topics in Computer Science  
Introduction to Machine Learning  
Wireless Networks and Embedded Systems 
Mathematics Course Offerings
Code  Title  Credits 

Fall 2024  
Precalculus Mathematics  
Elementary Calculus I  
Elementary Calculus II  
Basic Linear Algebra I  
Linear Algebra I  
Fundamental Concepts of Math  
Intermediate Calculus I  
Introduction to Combinatorics  
Linear Algebra II  
Geometry  
Real Analysis  
Matrix Theory and Applications  
Abstract Algebra II  
Ordinary Differential Equations  
Introduction to Graph Theory  
Special Topics in Mathematics 
Code  Title  Credits 

Winter 2025  
Precalculus Mathematics  
Elementary Calculus I  
Elementary Calculus II  
Basic Linear Algebra I  
Linear Algebra I  
Fundamental Concepts of Math  
Intermediate Calculus II  
Linear Algebra II  
Abstract Algebra I  
Theory of Functions of a Complex Variable  
Elementary Number Theory  
Numerical Methods  
Analysis and Topology  
Introduction to the Theory of Modules  
Applied Dynamical Systems 
Statistics Course Offerings
Code  Title  Credits 

Fall 2024  
Introduction to Applied Statistics  
Applied Statistics for the Social Sciences  
Applied Statistics II  
Probability Theory I  
Applied Time Series Analysis  
Applied Categorical Data Analysis  
Applied Regression Analysis 
Code  Title  Credits 

Winter 2025  
Introduction to Applied Statistics  
Applied Statistics for the Social Sciences  
Applied Statistics II  
Probability Theory I  
Mathematical Statistics  
Sampling Theory and Applications  
Special Topics in Statistics at the intermediate level  
Stochastic Processes  
Statistical Consulting Project 
Admission Requirements
Applicants may be admitted to one of the following:
Regular Admission
To be evaluated through the Office of the University Registrar
Applicants must have a minimum overall average of 65 percent, with no course grade lower than 50 percent, in the following high school courses:
 ELA 301
 Mathematics 301
 Two of Biology 30, Chemistry 30, Mathematics 31, Physics 30, or Computing ScienceAdvanced Career and Technology Studies (5 credits)
 One subject from Group A, B, C or D
Notes:
 A maximum of one Group D subject may be presented. Group D subjects used for admission must be 5credit or any credit combination of at least 5 credits (e.g., two 3credit subjects).
Applicants with nine to 23 universitylevel credits must also present a minimum Admission Grade Point Average (AGPA) of 2.0 on a 4.0 scale. Applicants with 24 or more universitylevel credits will be considered under Previous PostSecondary Work.
Mature Admission
To be evaluated through the Office of the University Registrar
Applicants must be Canadian Applicants, 20 years of age or older, and have been out of fulltime high school at least one year by the beginning of the intake term. Applicants must have a minimum overall average of 60 percent, with no course grade lower than 50 percent, in the following high school courses:
 ELA 301
 Mathematics 301
 Two of Biology 30, Chemistry 30, Mathematics 31, Physics 30, or Computing ScienceAdvanced Level Career and Technology Studies (5 credits)
Applicants with nine to 23 universitylevel credits must also present a minimum Admission Grade Point Average (AGPA) of 2.0 on a 4.0 scale. Applicants with 24 or more universitylevel credits will be considered under Previous PostSecondary Work.
Previous PostSecondary Work
To be evaluated through the Office of the University Registrar
Admission in this category does not imply or guarantee the transfer of any coursework and/or credential unless a block transfer agreement (internal or external) is in effect and published in the calendar by the Office of the University Registrar. In addition, transfer of coursework does not imply or guarantee that an applicant will be admitted.
Applicants must have successfully completed the following:
 A minimum of 24 universitylevel credits, from a recognized institution, with a minimum Admission Grade Point Average (AGPA) of 2.0 on a 4.0 scale.
 The required mathematics and science courses listed under the Regular or Mature Admission category.
Additional Admission Criteria
All applicants must meet the following:
1. English Language Proficiency
To be evaluated through the Office of the University Registrar
Applicable to All Admission Categories
All applicants must meet an acceptable level of English language proficiency. We will require official documents such as high school or postsecondary transcripts or proof of successful completion of standardized language evaluation. Full details are available in MacEwan University’s academic calendar or online at MacEwan.ca/ELP.
2. Other Admission Criteria
To be evaluated through the Office of the University Registrar
Applicable to All Admission Categories
Applicants who have been assigned two unsatisfactory academic records within the past five years will not be considered for admission or readmission to the program until a minimum three years from the date of the assignment of the last unsatisfactory academic record. For the purpose of admission or readmission, an unsatisfactory record is defined as a transcript with the notation ‘required to withdraw’ or equivalent.
Mathematical Sciences Courses
Computer Science Courses
CMPT 101
Introduction to Computing I
3 Credits Weekly (330)
This course provides a breadthfirst introductory treatment of concepts in computing science for students with little or no programming background. Topics include data representation and machine architecture; algorithms and their properties; the control constructs of sequence, selection, and repetition; functions; and the notions of data type and operations on data types in lowlevel and highlevel programming languages. Students do introductory programming for a portion of the course. Note: Students with no previous computing experience should enrol in CMPT 101 instead of CMPT 103. Credit cannot be obtained for CMPT 101 if credit has already been granted for CMPT 103.
CMPT 103
Introduction to Computing II
3 Credits Weekly (330)
This course continues the overview of computing science concepts that was started in CMPT 101. Topics include representation of compound data using abstraction, programming languages, and modularity; algorithms that use these data structures; and networks with the TCP/IP model and client/server architecture. Students continue with the syntax of a highlevel programming language: functions, arrays, and userdefined data types.
Prerequisites: A minimum grade of C in CMPT 101 or ENCP 100 or three credits of intermediate CSE including CSE 2120.
CMPT 104
Fluency with Information Technology
3 Credits Weekly (300)
This course introduces fundamental computational concepts. While some specific productivity software is covered, this is not a computer literacy course. The emphasis is on the concepts that underlie today's information infrastructure. Topics include abstraction, data representation and analysis, algorithms and algorithmic thinking, the Internet, and security.
CMPT 200
Data Structures and Algorithms
3 Credits Weekly (330)
This course continues the study of dynamic data structures (e.g., lists, stacks, queues, trees, and dictionaries) and associated algorithms (e.g., traversal, sorting, searching, element addition and removal). Recursion is covered, and some of the basic ideas of objectoriented programming, such as classes and objects, are introduced.
Prerequisites: Minimum grade of C in CMPT 103.
CMPT 201
Practical Programming Methodology
3 Credits Weekly (330)
This course provides an introduction to the principles, methods, tools, and practices of the professional programmer. The lectures focus on best practices in software development and the fundamental principles of software engineering. The laboratories offer an intensive apprenticeship to the aspiring software developer. Students use C and the software development tools of the UNIX environment.
Prerequisites: Minimum grade of C in CMPT 200.
CMPT 204
Algorithms I
3 Credits Weekly (301)
This is a first course on algorithm design and analysis with an emphasis on fundamentals of searching, sorting and graph algorithms. Examples of methodologies considered include divide and conquer, dynamic programming, and greedy methods, together with analysis techniques to estimate program efficiency.
Prerequisites: Minimum grade of C in CMPT 200 and CMPT 272 or MATH 200 and MATH 113 or MATH 114 (Note: CMPT 272 is preferred to MATH 200).
CMPT 220
Unix, Scripting, and Other Tools
3 Credits Weekly (320)
The student is introduced to a Unixlike operating system along with some of its important design features, such as processes, pipes, and the I/O model. Some of the basic tools and methodologies are discussed, including shell scripts, editors, and standard utilities. Various open source tools are surveyed.
Prerequisites: Minimum grade of C in CMPT 200.
CMPT 229
Computer Organization and Architecture
3 Credits Weekly (330)
This course provides a general introduction to number representation, the architecture and organization concepts of von Neumann machines, assembly level programming, exception handling, peripheral programming, floating point computations, and memory management.
Prerequisites: Minimum grade of C in CMPT 200.
CMPT 230
Introduction to Computer Games
3 Credits Weekly (300)
This course is an introduction to various aspects of computer game design and marketing. It focuses on the history of computer games, computer game markets, evaluation of computer games, creation and testing of interactive narratives, and game interface design. The course includes a final capstone design for an interactive (narrative) game. Note: This course has a significant writing component; students are advised to take ENGL 102 (or equivalent) prior to taking this course.
Prerequisites: Minimum grade of C in any CMPT or ENGL course or in either PSYC 104 or PSYC 105.
CMPT 250
Introduction to Human Computer Interaction
3 Credits Weekly (320)
This course introduces students to the basic components of the interaction design process. Effective user interaction design emphasizes the importance of good interfaces and the relationship of user interface design to humancomputer interaction (HCI). The concept of interaction is introduced with a focus on the centrality of the user in HCI. Other topics include interface and interaction types, data gathering and analysis to understand and solve the design problem; design requirements, prototyping and usability testing. The lab allows the students to apply the concepts, tools and methods, discussed in lecture, towards the major course project. Note: In addition to the prerequisite, it is recommended that students taking this course have completed an additional computing science course or an introductory course in psychology, sociology, or anthropology. Note: Students who have received credit in DESN 240 or DESN 242 will not receive credit for CMPT 250.
Prerequisites: A minimum grade of C in CMPT 101 or CMPT 103.
CMPT 272
Formal Systems and Logic in Computing Science
3 Credits Weekly (321)
This course provides an introduction to the tools of set theory, logic, and induction, and their use in the practice of reasoning about algorithms and programs. Topics include basic set theory, the notion of a function, counting, propositional and predicate logic and their proof systems, and inductive definitions and proofs by induction.
Prerequisites: A minimum grade of C in CMPT 101 or CMPT 103 or CMPT 200 and a minimum grade of C in MATH 114 and C in MATH 120 or MATH 125.
CMPT 280
Introduction to Computer Security
3 Credits Weekly (310)
Students are introduced to computer and network security and the underlying concepts of confidentiality, integrity, and availability. Topics include common cyberattacks, identifying vulnerabilities and defending against attacks, and approaches to creating secure systems. Students also work with some of the tools available to security administrators.
Prerequisites: Minimum grade of C in CMPT 200.
CMPT 291
Introduction to File and Database Management
3 Credits Weekly (330)
The course covers basic concepts in computer data organization and information processing, the entityrelationship model, the relational model, SQL, and other relational query languages. Other topics include storage architecture, physical organization of data, and access methods for relational data.
Prerequisites: A minimum grade of C in CMPT 200.
CMPT 305
Introduction to ObjectOriented Programming
3 Credits Weekly (330)
In this course, students study the objectoriented programming (OOP) paradigm. The components of objectoriented programming are encapsulation, inheritance, and polymorphism. Students use some of the well established design patterns that recur in many nontrivial software systems. The last component of this course is eventdriven programming. Note: Credit in CMPT 250 is recommended but not required.
Prerequisites: Minimum grade of C in CMPT 200.
CMPT 306
NonProcedural Programming Languages
3 Credits Weekly (330)
This course examines various programming languages other than the standard third generation languages such as C++ and Java. This course considers a functional language (Lisp) and a logic language (Prolog). The underlying theories of lambda calculus (Lisp) and predicate logic (Prolog) are also studied. A limited number of applications to Artificial Intelligence are considered for both languages. This course also may examine additional interpreted languages.
Prerequisites: Minimum grade of C in CMPT 200 and CMPT 272.
CMPT 310
Computers and Society
3 Credits Weekly (300)
This course explores the social, legal and ethical issues arising in the wake of computer technology, especially those concerning self, community, environment, education, work and democracy. Topics include ethical frameworks; data collection and use; privacy and security; intellectual property; artificial intelligence and automation; social responsibility. Note: This is a third year course. It is recommended that students taking this course have at least 48 earned credits in their program of study.
Prerequisites: Minimum grade of C in CMPT 200.
CMPT 311
Phenomenon of Technology
3 Credits Weekly (300)
This hybrid course explores the role and significance of technology in our daily lives through a variety of theoretical and research frameworks and methods, including media ecology, phenomenology, STS (science, technology and society) studies, and humancomputer interaction research.
Prerequisites: Minimum grade of C in any 200level course (Note: this is a third year course, It is recommended that students taking this course have at least 48 credits in their program of study).
CMPT 312
Introduction to Robotics: Programming and Control
3 Credits Weekly (330)
This project based course offers an introduction to the basic concepts in robotics and the various algorithms used for perception, locomotion, and pathway planning. Students will get hands on experience with programming microcontrollers and building hardware and will apply concepts learned through interdisciplinary projects.
Prerequisite: A minimum grade of C in CMPT 200.
CMPT 315
Web Application Development
3 Credits Weekly (330)
This course introduces various technologies in web programming. It requires students to work both individually and collaboratively to design and develop interactive webbased applications. Students learn both client and serverside programming, database programming, and basic security concepts and testing.
Prerequisites: Minimum grade of C in CMPT 291 and CMPT 305.
CMPT 330
Introduction to Real Time Gaming
3 Credits Weekly (330)
This course introduces the basic concepts of 2D and 3D game writing. Students learn to handle sprite animation, collision detection, and simple game artificial intelligence, and gain an understanding of the basics of 2D and 3D display at the level of the game engine. During this course, students design and implement an effective user interface for a game using a game engine as well as create several very small games. The course culminates with a teambased major game project.
Prerequisites: Minimum grade of C in CMPT 230 and CMPT 305.
CMPT 340
Introduction to Numerical Methods
3 Credits Weekly (320)
This course provides an overview of computational methods for solving problems in linear algebra, nonlinear equations, interpolation and approximation, and integration. Computer arithmetic and errors are discussed. The aim is to teach students the proper use of mathematical packages currently available.
Prerequisites: Minimum grades of C in CMPT 201, MATH 114, and one of MATH 120 or MATH 125.
CMPT 351
Introduction to Data Visualization
3 Credits Weekly (320)
This course introduces techniques and tools for creating effective visualizations based on principles from visual design, perceptual psychology, and cognitive science. The goal of this course is to expose students to visual representation methods and techniques that increase the understandability of complex and varied data.
Prerequisites: Minimum grades of C in CMPT 250 and STAT 151.
CMPT 355
Introduction to Artificial Intelligence
3 Credits Weekly (330)
This course provides an introduction to Artificial Intelligence (AI). AI is the study of how human intelligence can be imitated by computer programs. The course presents a survey of the concepts and applications of AI  such as: intelligent agents, knowledge representation, statespace search, expert systems and shells, natural language processing, propositional logic, learning and cognitive models. Some of the AI techniques will be implemented using both procedural and nonprocedural languages (Prolog and LISP). Note: Students should be able to program in a high level programming language that allows explicit access to the underlying memory model. C and C++ are acceptable languages.
Prerequisites: Minimum grade of C in CMPT 201 and CMPT 272.
CMPT 360
Introduction to Operating Systems
3 Credits Weekly (330)
This course introduces the fundamentals of operating systems. Topics include scheduling, memory management, concurrency, security and protection, device management, and file systems. The laboratory component involves both the investigation of these concepts in current operating systems as well as their design and implementation.
Prerequisites: Minimum grade of C in CMPT 201.
CMPT 361
Introduction to Networks
3 Credits Weekly (330)
This course introduces the basics of networking with a focus on computer networks. Topics include network architectures, protocols, clientserver programming, security, and network management. A selection of material from data compression and decompression and multimedia data technologies are also discussed.
Prerequisites: Minimum grade of C in CMPT 201.
CMPT 370
Introduction to Computer Graphics
3 Credits Weekly (330)
This course introduces students to the foundations of computer graphics. Topics covered include 2D and 3D transformations, interactive 3D graphics programming, shading and lighting models, geometric modelling, computer graphics rendering including ray tracing and texture mapping. There will be an emphasis on both the mathematical and geometric aspects of graphics, as well as the ability to write complete 3D graphics programs.
Prerequisites: Minimum grades of C in CMPT 201, MATH 114, and in either MATH 120 or 125.
CMPT 380
Computer Systems Security
3 Credits Weekly (330)
Students are introduced to the principles and practice of computer systems security and get hands on experience with relevant tools used by security professionals. Students also write programs to illustrate vulnerabilities and attacks such as: buffer overflow, SQL injection, cross site scripting and cross site request forgery. Topics include: host and application threats and hardening, storage security, virtualization, secure software development and web and mobile security.
Prerequisites: A minimum grade of C in CMPT 280 and CMPT 360.
CMPT 381
Cryptology from Classical to PostQuantum
3 Credits Weekly (330)
Cryptographic algorithms are used to ensure the privacy and integrity of data, secure communications, and protect and even supplant currency altogether. However, their utility and ubiquity were recently threatened by developments in quantum computing, necessitating a near future shift to more sophisticated, quantumresistant algorithms. In this course, students will study the evolution of cryptology, covering the essentials of classical and contemporary symmetric and asymmetric encryption and decryption algorithms in their many forms and applications. In addition, students will study the implications of quantum attacks and explore at least one newly certified quantumresistant algorithm. The focus of the course will balance practical implementations of naturally theoretical and mathematical concepts.
Prerequisites: Minimum grades of C in CMPT 200 and one of MATH 120 or MATH 125.
CMPT 391
Database Management Systems
3 Credits Weekly (320)
This is the second course in database management systems. Topics include database design, normalization theory, transaction management, query processing, and query optimization, building and supporting secure applications. Database support for special data types such as XML documents is considered. Support for complex applications, data analysis and information retrieval is also covered.
Prerequisites: A minimum grade of C in CMPT 291.
CMPT 395
Introduction to Software Engineering
3 Credits Weekly (330)
This course is an introduction to the fundamental concepts of software engineering. Topics include software design and analysis, software process, requirements, design patterns and testing. Team management is considered in both the lecture and in the laboratory through the use of team projects.
Prerequisites: Minimum grade of C in CMPT 201.
CMPT 398
Independent Study
3 Credits Total (0045)
This course permits an intermediatelevel student to work with an instructor to explore a specific topic in depth through research or directed reading in primary and secondary sources. The student plans, executes and reports the results of their independent research or study project under the direction of a faculty supervisor. To be granted enrolment in the course, the student must have made prior arrangements with a faculty member willing to supervise the student’s project.
CMPT 399
Topics in Computer Science
3 Credits Weekly (330)
In this course, students examine one or two topics in computer science. Topics will vary from year to year, but will typically build upon material students will have seen in the second year of their studies. Consultation with the department is required prior to registration. Note: This course may be taken multiple times for credit.
Prerequisites: Consent of the department.
CMPT 430
3D Game Development and Artificial Intelligence
3 Credits Weekly (330)
Modern game engines provide basic components such as animation and physics but to create a good game, the developer needs to provide functionality beyond the basics. This course will focus nonbasic features such as camera control and game search/tracking heuristics. For the major project students will develop a portion of a game level using an existing commercial game engine. Note: CMPT 370 is recommended.
Prerequisites: Minimum grade of C in both CMPT 330 and CMPT 395.
CMPT 450
Information Visualization
3 Credits Weekly (330)
This course continues the examination of humancomputer interaction (HCI) that was begun in CMPT 250, but with the emphasis moving to the design and implementation of interactive visualization systems. Topics include design principles in information visualization, abstraction of data and user tasks, visual encoding, interaction techniques, and visualization toolkits.
Prerequisites: Minimum grade of C in CMPT 250 and CMPT 305.
CMPT 455
Introduction to Machine Learning
3 Credits Weekly (330)
Machine learning (ML) is the science of making computers perform tasks without being explicitly programmed. There is a multitude of realworld applications of ML (e.g. speech recognition, advanced web search and information retrieval, selfdriven cars). ML is used in almost any computer application without even knowing it. This class teaches the most effective machine learning techniques, along with practical skills to implement and adapt them to new problems.
Prerequisites: Minimum grades of C in either CMPT 340 and STAT 151, or MATH 335 and CMPT 200.
CMPT 464
Wireless Networks and Embedded Systems
3 Credits Weekly (330)
This course introduces selected topics in embedded systems and wireless networks. Topics include an introduction to embedded systems with an emphasis on microcontrollers, techniques for programming embedded systems, design for lowpower applications, the basics of radio communication, and protocols for both medium access control and routing within static and mobile environments. The laboratory is oriented toward the design and implementation of lecture topics using wireless sensor network hardware.
Prerequisites: Minimum grade of C in CMPT 395 and C in CMPT 201.
CMPT 470
Introduction to Computer Vision
3 Credits Weekly (330)
Computer vision is a research field aimed to enable computers to process and interpret visual data, as sighted humans can. It is one of the most exciting areas of research in computing science and among the fastest growing technologies in today’s industry. This course provides an introduction to the fundamental principles and applications of computer vision. Topics include feature detection and tracking, image matching and alignment, geometric relationships between 2D images and the 3D world, and some machine learning methods for computer vision.
Prerequisites: Minimum grades of C in either CMPT 340 and STAT 151, or MATH 335 and CMPT 200.
CMPT 480
Computer Network Security
3 Credits Weekly (330)
Students are introduced to the principles and practice of computer networks security and get handson experience with relevant tools used by security professionals. Students also write code to illustrate vulnerabilities and attacks such as packet spoofing, ARP poisoning and DNS cache poisoning. Topics include network threats, hardening and monitoring, internet service hardening and network intrusion prevention and detection.
Prerequisites: Minimum grades of C in CMPT 280 and CMPT 361.
CMPT 491
Datamining and Advanced Database Topics
3 Credits Weekly (330)
This course on data mining introduces the concepts, algorithms, techniques, and systems of data warehousing. Topics include what data mining is, data preprocessing, integration, and transformation. The design and implementation of data warehouse and OLAP systems, mining frequent patterns and association (basic concepts and advanced methods), and classification, clustering and outlier analysis are covered.
Prerequisites: Minimum grades of C in STAT 151, CMPT 291, and in a 300level CMPT course.
CMPT 496
Final Project
3 Credits Total (0060)
In this course, students plan, conduct, and communicate the results of an independent project in Computer Science under the direction of a faculty supervisor. The project can be undertaken by an individual student or, if the scope warrants, by a team of students. Registration is contingent on the student(s) having made prior arrangements with a faculty member willing to supervise the project. Note: This course is intended for students in the final year of their degree. This course may be taken twice for credit.
Prerequisites: Minimum grade of C in CMPT 395 and consent of the department.
CMPT 497
Computer Science Internship
3 Credits Total (45090)
This course provides students with practical experience in a work environment. Students engage in work integrated learning through employment or internship in industry. Students learn in practice the professional aspects (work and ethics) of a computer scientist. At the end of the placement, students provide a presentation to demonstrate the learning accomplished. The contact hours are a minimum of 90 hours but can involve more depending on the placement. This course may be taken two times for credit. All placements require departmental approval.
Prerequisites: A minimum grade of C in CMPT 395 and consent of the Department.
CMPT 498
Advanced Independent Study
3 Credits Total (0045)
This course permits a seniorlevel student to work with an instructor to explore a specific topic in depth through research or directed reading in primary and secondary sources. The student plans, executes and reports the results of their independent research or study project under the direction of a faculty supervisor. To be granted enrolment in the course, the student must have made prior arrangements with a faculty member willing to supervise the student’s project.
CMPT 499
Topics in Computer Science
3 Credits Weekly (300)
In this course, students examine a topic of specialization in computer science. Topics will vary from year to year. Consultation with the department is required prior to registration. Note: This course may be taken multiple times for credit.
Prerequisites: Consent of the department.
Mathematics Courses
MATH 099
Precalculus Mathematics
3 Credits Weekly (300)
This course reviews and extends the mathematical concepts needed to be successful in university level calculus. Topics include graphing, equations of lines, inequalities, review of elementary algebra, functions, and trigonometry. MATH 099 cannot be used to fulfill the requirements of the Bachelor of Arts, the Bachelor of Commerce, or the Bachelor of Science programs.
Prerequisites: Mathematics 301 or Mathematics 302.
MATH 100
Calculus I
3.5 Credits Weekly (310)
This course provides an introduction to the fundamentals of calculus. The students learn about rectangular coordinates, analytic geometry, transcendental functions, inverse functions, limits, continuity, derivatives and applications, Taylor polynomials, integration and applications. Note: This course is restricted to Engineering students. Credit can only be obtained in one of MATH 100 or MATH 113 or MATH 114.
Prerequisites: Mathematics 301 and Mathematics 31.
MATH 101
Calculus II
3.5 Credits Weekly (31.50)
This course provides a continuation of the study of Calculus. Students learn about techniques of integration, arc length, area of a surface of revolution, applications to physics and engineering, first order ordinary differential equations (separable and linear), infinite series, power series, Taylor expansions, polar coordinates, rectangular coordinates in R3, parametric curves in the plane and space (graphing, arc length, curvature), normal, binormal, tangent in R3. Note: This course is restricted to Engineering Program students. Credit can only be obtained in one of MATH 101 or MATH 115.
Prerequisites: Minimum grade of C in MATH 100.
MATH 102
Applied Linear Algebra
3.5 Credits Weekly (31.50)
This course provides an introduction to the fundamentals of linear algebra and some of their applications. The course content includes vectors and matrices; solutions of linear equations; equations of lines and planes; determinants; matrix algebra, linear transformations and their matrices; general vector spaces and inner product spaces; orthogonality and GramSchmidt process; eigenvalues and eigenvectors; and complex numbers. Note: This course is restricted to Engineering students. MATH 100 may be taken as a corequisite with consent of the department. The course may not be taken for credit if credit has already been obtained in MATH 120 or MATH 125.
Prerequisites: A minimum grade of C in MATH 100.
MATH 114
Elementary Calculus I
3 Credits Weekly (400)
This course examines the fundamental concept of limits, differentiation and integration. Limits and differentiation of algebraic and trigonometric functions are studied along with applications including related rates, optimizing and curve sketching. This course concludes with a study of Riemann sums, the Fundamental Theorem of Calculus and substitution. Note: Students who have received credit in MATH 113 or MATH 100 may not take MATH 114 for credit.
Prerequisites: A minimum grade of 80% in Mathematics 301, or successful completion (50% or better) of Mathematics 31, or a minimum grade of C in MATH 099, or successful completion of the MATH 114 gateway exam.
MATH 115
Elementary Calculus II
3 Credits Weekly (310)
This course investigates the differentiation and integration of trigonometric, exponential and logarithmic functions. Indeterminate forms and improper integrals are studied, as well as the techniques and applications of integration. Note: Credit can only be obtained in one of MATH 115 or MATH 101.
Prerequisites: A minimum grade of C in MATH 114.
MATH 120
Basic Linear Algebra I
3 Credits Weekly (300)
This is an introduction to the basic notions and methods of linear algebra. Topics covered are: systems of linear equations, vectors in nspace, vector equations of lines and planes, dot product, cross product, and orthogonality, matrix algebra, invertibility of matrices, determinants, general vector spaces, basis and dimension, subspaces of nspace, rank, introduction to linear transformations, introduction to eigenvalues and eigenvectors, and applications. NOTE: This course cannot be taken for credit if credit has already been obtained in either of MATH 102 or MATH 125.
Prerequisites: Mathematics 301 or a minimum grade of 80% in Mathematics 302.
MATH 125
Linear Algebra I
3 Credits Weekly (300)
This is an enriched introduction to the basic notions and methods of linear algebra. Topics covered are: systems of linear equations, vectors in nspace, vector equations of lines and planes, dot product, cross product, orthogonality, matrix algebra, invertibility of matrices, determinants, general vector spaces, basis and dimension, subspaces of nspace, rank, introduction to linear transformations, introduction to eigenvalues and eigenvectors, and applications. NOTE: The course covers the same basic topics as MATH 120, however it is a more rigorous course, and selected topics and applications are covered in more depth.
Prerequisites: Mathematics 301.
MATH 160
Higher Arithmetic
3 Credits Weekly (300)
This course emphasizes the development of clarity in the understanding of mathematical ideas and processes, communication of these ideas to others, and application of these ideas to problem solving. Both inductive and deductive methods are explored in the study of elementary number theory, numeration systems, operations on integers and rational numbers, and elementary probability theory. Note: This course is offered to students who intend to pursue Elementary Education.
Prerequisites: Mathematics 301 or Mathematics 302 or successful completion of the gateway exam.
MATH 200
Fundamental Concepts of Math
3 Credits Weekly (300)
This course provides an introduction to axiomatic systems and mathematical proof. These ideas are developed using examples taken primarily from set theory and number theory.
Prerequisites: A minimum grade of C in one of MATH 114, MATH 120, or MATH 125.
MATH 214
Intermediate Calculus I
3 Credits Weekly (310)
This course completes the study of singlevariable calculus and introduces students to the basic concepts of multivariable calculus. Topics in singlevariable calculus include area and arc length of plane curves defined by parametric or polar equations, infinite series, and power series. Topics in multivariable calculus include: vector functions and space curves, functions of several variables, and partial derivatives with applications.
Prerequisites: Minimum grade of C in MATH 115, and in either MATH 120 or MATH 125.
MATH 215
Intermediate Calculus II
3 Credits Weekly (310)
This course continues the study of multivariable calculus. Topics include: curves, tangent vectors, arc length; integration in two and three dimensions; polar, cylindrical and spherical coordinates; line and surface integrals, Green’s, divergence and Stokes’ theorems; first and second order linear differential equations.
Prerequisites: A minimum grade of C in MATH 214.
MATH 223
Introduction to Combinatorics
3 Credits Weekly (300)
This course is an introduction to Combinatorics covering permutations, combinations, binomial coefficients, the binomial theorem, the pigeonhole principle, inclusionexclusion principle, generating functions, recurrences and applications to graph theory.
Prerequisites: A minimum grade of C in any 100level Mathematics course, not including MATH 160 or MATH 170.
MATH 225
Linear Algebra II
3 Credits Weekly (300)
This course introduces the theory of vector spaces, inner product spaces, linear transformations and diagonalization. Specific topics of study include Euclidean nspace, spaces of continuous functions, matrix spaces, GramSchmidt process, QRfactorization, least squares method, change of basis, eigenspaces, orthogonal diagonalization, quadratic forms, matrices of transformations and similarity. Various applications are presented.
Prerequisites: A minimum grade of C in either MATH 120 or MATH 125.
MATH 228
Algebra: Introduction to Ring Theory
3 Credits Weekly (300)
This course is an introduction to the theory of rings including integral domains, division rings, ring homomorphisms, ideals, quotient rings, fields of quotients, rings of polynomials, irreducible polynomials, Euclidean domains and fields. Specific topics include the wellordering axiom, the Binomial Theorem, the Euclidean algorithm, the Fundamental Theorem of Arithmetic, and the Chinese Remainder Theorem.
Prerequisites: Minimum grades of C in either MATH 200 or MATH 241, and in either MATH 120 or MATH 125.
MATH 229
Abstract Algebra I
3 Credits Weekly (300)
This course is an introduction to the theory of rings and groups, including integral domains, division rings, ring homomorphisms, ideals, groups, subgroups, cyclic groups and group homomorphisms.
Prerequisites: Minimum grades of C in MATH 200 and one of MATH 120 or MATH 125.
MATH 325
Matrix Theory and Applications
3 Credits Weekly (300)
This course develops the study of matrices and their applications by way of special classes of matrices and matrix structure theorems. The main application will be to optimization problems.
Prerequisites: Minimum grades of C in MATH 225 and MATH 114.
MATH 329
Abstract Algebra II
3 Credits Weekly (300)
This course continues the study of Abstract Algebra begun in Math 229 and studies rings of polynomials, divisibility, irreducibility, quotient rings, Euclidean domains, PIDs and UFDs, normal subgroups, quotient groups and the Sylow theorems.
Prerequisites: A minimum grade of C in MATH 229.
MATH 241
Geometry
3 Credits Weekly (300)
The course explores Euclidean Geometry as an axiomatic system, based on invariance under the group of isometries (rigid motions). The material includes congruence, parallelism, similarity, and the theory of measurements based on continuity axioms. The notion of circumference is introduced and treated rigorously. Problem solving is an important component of the course. The problems include proofs, finding loci, and constructions. Transformations in the Euclidean plane are used as a problemsolving tool.
Prerequisites: A minimum grade of C in any 100level MATH course, not including MATH 160 or MATH 170.
MATH 310
Real Analysis
3 Credits Weekly (301)
This course presents a rigorous treatment of limit processes in one variable. Topics include real numbers, sequences, limits, continuous functions, differentiation, the Riemann integral, and the topology of the real number system.
Prerequisites: Minimum grade of C in MATH 214 and in MATH 200.
MATH 311
Theory of Functions of a Complex Variable
3 Credits Weekly (300)
This course provides an introduction to the fundamental concepts of single variable complex analysis. The main topics include analytic functions, complex power series, Cauchy’s Integral Theorem, Cauchy’s Integral Formula, the residue theorem and applications to improper real integrals and Fourier transforms.
Prerequisites: Minimum grade of C in MATH 215.
MATH 320
Elementary Number Theory
3 Credits Weekly (300)
Elementary methods in number theory are presented. The following topics are included: divisibility, linear Diophantine equations, prime numbers, the fundamental theorem of arithmetic, congruences, the Chinese remainder theorem, Fermat's little theorem, arithmetic functions, Euler's theorem, primitive roots, and quadratic residues.
Prerequisites: Minimum grade of C in MATH 200; a minimum grade of C in MATH 228 is recommended.
MATH 321
Fields and Modules
3 Credits Weekly (300)
This course builds on the knowledge of rings and fields obtained in MATH 228, and introduces the student to basic module theory. Topics studied include finite fields, quadratic number fields and algebraic field extensions, the Fundamental Theorem of Algebra, modules, and Noetherian rings.
Prerequisites: Minimum grade of C in MATH 225 and MATH 228.
MATH 330
Ordinary Differential Equations
3 Credits Weekly (320)
This course provides techniques for solving ordinary differential equations and systems of first order equations and investigates the qualitative nature of solutions of dynamical systems. Topics covered include first order equations, linear equations of higher order and linear dynamical systems with constant coefficients.
Prerequisites: Minimum grades of C in MATH 214, and in either MATH 120 or MATH 125.
MATH 335
Numerical Methods
3 Credits Weekly (320)
This course presents numerical methods for solving problems in linear algebra, nonlinear equations, interpolations, approximation of functions, differentiation and integration. The numerical algorithms are illustrated using an appropriate computer programming language and specific libraries.
Prerequisites: Minimum grades of C in MATH 214, CMPT 101, and one of MATH 120 or MATH 125.
MATH 341
Modern Geometries
3 Credits Weekly (300)
This course explores Euclidean and NonEuclidean plane geometries from the viewpoint of Klein’s Erlangen program, based on invariance under groups of transformations in the extended complex plane. Mobius geometry is introduced, and Euclidean, hyperbolic, and elliptic geometries are studied as its subgeometries. The differences in axiomatics and results of the Euclidean and Lobachevsky – Bolyai geometries are discussed based on the disc model of hyperbolic geometry. Elliptic geometry is considered as another Mobius subgeometry.
Prerequisites: Minimum grades of C in MATH 241, and in either MATH 120 or MATH 125.
MATH 350
Introduction to Graph Theory
3 Credits Weekly (300)
This course discusses graphs and digraphs, paths and cycles, trees, planarity, colouring problems and matching problems. In addition, graph algorithms and some applications to other disciplines are studied.
Prerequisites: Minimum grades of C in either MATH 120 or MATH 125, and in either MATH 200 or MATH 222.
MATH 361
History of Mathematics
3 Credits Weekly (300)
The course is a survey of the history of mathematics from ancient times through the development of calculus and the origins of modern algebra in the nineteenth century. It emphasizes the events that led to the development of modern and classic mathematics from a problem solving perspective. Biographies of famous mathematicians complement the abstract concepts of mathematics.
Prerequisites: Minimum grade of C in any two 200level MATH courses.
MATH 398
Independent Study
3 Credits Total (0045)
This course permits an intermediatelevel student to work with an instructor to explore a specific topic from mathematics in depth through research or directed reading in primary and secondary sources. The student plans, executes and reports the results of their independent research or study project under the direction of a faculty supervisor. To be granted enrollment in the course, the student must have made prior arrangements with a faculty member willing to supervise his or her project. This course can be taken twice for credit.
MATH 410
Analysis and Topology
3 Credits Weekly (300)
This course continues the study of Analysis begun in MATH 310 and examines differentiation and integration in Rn. Specific topics covered will include: implicit and inverse functions theorems, Fubini’s theorem, differential forms, and the generalized Stokes’ theorem.
Prerequisites: Minimum grade of C in MATH 225 and MATH 310.
MATH 420
Groups and Galois Theory
3 Credits Weekly (300)
This course is a treatment of symmetry, beginning with groups, then developing the ideas of Galois theory, and finishing with the quintic equation. Topics include groups, normal subgroups, quotient groups, Cayley's Theorem, the Class equation, permutations, group actions, the Sylow theorems, splitting fields, Galois extensions, the Main Theorem of Galois theory, Kummer extensions, cubic, quartic and quintic equations.
Prerequisites: Minimum grade of C in MATH 321.
MATH 428
Introduction to Galois Theory
3 Credits Weekly (300)
This course is an introduction to Galois Theory, covering topics such as algebraic extensions, algebraic closure, splitting fields, Galois extensions, the Galois group, the fundamental theorem of Galois theory and solvability of polynomial equations via radicals.
Prerequisites: A minimum grade of C in MATH 329.
MATH 429
Introduction to the Theory of Modules
3 Credits Weekly (300)
This course is an introduction into the theory of modules over rings and covers topics as modules, homomorphisms and isomorphisms, quotient modules, free modules, generators, tensor products, Noetherian rings and modules.
Prerequisites: A minimum grade of C in MATH 329.
MATH 430
Applied Dynamical Systems
3 Credits Weekly (310)
This course presents an introduction to dynamical systems related to ordinary differential equations in the continuous case, or to difference equations in the discrete case. Elementary existence and uniqueness theorems and stability are considered for linear and nonlinear systems of ordinary differential equations. Periodic solutions, chaotic attractors, an introduction to bifurcation theory, basic notions of discrete dynamical systems, and deterministic chaos are discussed. Applications are chosen from biology, physics and other areas.
Prerequisites: Minimum grade of C in MATH 310 and MATH 330.
MATH 436
Introduction to Partial Differential Equations
3 Credits Weekly (320)
The goal of this course is to introduce the student to the mathematical modeling of classical physical systems such as vibrating systems, diffusive processes and steady state phenomena. The course starts with a rigorous introduction of the firstorder and linear secondorder partial differential equations (PDEs) followed by elements of Fourier analysis. The method of characteristics is used to find and interpret classes of solutions for the above models. The lab component will familiarize the student with formal and numerical manipulations of PDE’s. The main scope of the lab is to enable the student to visualize and discuss solutions for classical models for PDE’s.
Prerequisites: Minimum grades of C in MATH 310 and MATH 330.
MATH 495
Special Topics in Mathematics
3 Credits Weekly (301)
This course examines an advanced topic of specialization in mathematics. The instructor chooses the topic in any given semester. Students can take this course up to three times, provided the course topic is different.
Prerequisites: A minimum grade of B in a 300level MATH course and consent of the department.
MATH 498
Advanced Independent Study in Mathematics
3 Credits Total (0045)
This course permits a seniorlevel student to work with an instructor to explore a specific topic from mathematics in depth through research or directed reading in primary and secondary sources. The student plans, executes and reports the results of their independent research or study project under the direction of a faculty supervisor. To be granted enrollment in the course, the student must have made prior arrangements with a faculty member willing to supervise his or her project. This course can be taken twice for credit.
MATH 499
Honours Thesis
3 Credits Total (0045)
Under the direction of a faculty supervisor, registered students explore a specific topic in depth through research or directed reading. The student plans, executes, and reports the results of their independent research or study project under the direction of a faculty supervisor in a written Honours Thesis with oral defense. Note: This course is intended for students in the final year of their degree and is open only to students in the Mathematics Honours program.
Prerequisites: Consent of the Department.
Statistics Courses
STAT 151
Introduction to Applied Statistics
3 Credits Weekly (31.50)
In this course the following topics are covered: data collection and presentation; descriptive statistics; probability distributions, sampling distributions and the central limit theorem; point estimation, confidence intervals, and hypothesis testing; oneway ANOVA; Chisquare tests; and correlation and regression analysis. Applications are taken from a broad variety of fields such as biological and medical sciences, engineering, social sciences and economics. Note: This course may not be taken for credit if credit has been obtained in Stat 161.
Prerequisites: Mathematics 301 or Mathematics 302 or successful completion of the statistics gateway exam.
STAT 161
Applied Statistics for the Social Sciences
3 Credits Weekly (31.50)
This course provides an introduction to descriptive and inferential statistics with a focus on data analytic tools particularly relevant in the social sciences. Topics covered in this course include descriptive statistics, basic probability theory and the central limit theorem; estimation and hypothesis testing; ttests, analysis of contingency tables, one way ANOVA, and multiple linear regression analysis. Applications are taken from the social sciences and many other fields such as biological and medical sciences, engineering, and economics. Note: Credit cannot be obtained in both STAT 151 and 161.
Prerequisites: Mathematics 301 or Mathematics 302 or successful completion of the statistics gateway exam.
STAT 252
Applied Statistics II
3 Credits Weekly (320)
Fundamental methods in applied statistics are presented in this course including the following topics: factorial ANOVA and Linear Regression models and their analysis as well as nonparametric statistical tools for the comparison of the centre of distributions. Applications are taken from a broad variety of areas such as biological, social and computer sciences, engineering, and economics.
Prerequisites: A minimum grade of C in one of STAT 151 or STAT 161.
STAT 265
Probability Theory I
3 Credits Weekly (301)
This course offers a calculusbased introduction to probability theory. Topics covered include sample space, events, combinatorial probability, conditional probability, independent events, Bayes' theorem, discrete and continuous random variables, univariate and multivariate probability distributions, expectation, conditional expectation, joint probability distributions, independence, moment generating functions. Note: STAT 151 is recommended and MATH 214 is a recommended corequisite.
Prerequisites: A minimum grade of C in MATH 115.
STAT 266
Mathematical Statistics
3 Credits Weekly (311)
The emphasis of this course is to present the fundamental statistical concepts in estimation and hypothesis testing from a classical perspective using the tools of probability theory. Topics covered include: limit theorems, sampling distributions, methods of point estimation and properties of point estimators, interval estimation, testing hypotheses. Statistical software is used to simulate distributions and probabilistic processes that lead to statistical applications.
Prerequisites: Minimum grades of C in STAT 265, STAT 151 or STAT 161, and in either CMPT 101 or CMPT 103.
STAT 312
Probability Theory II
3 Credits Weekly (300)
This course offers a rigorous approach to probability theory. Topics covered include concepts of probability theory, multivariate random variables, conditional expectation and variance, probability and moment generating functions, the multivariate normal distribution, different types of convergence and limit theorems, Poisson and branching processes.
Prerequisites: Minimum grades of C in MATH 215, MATH 225, and STAT 265.
STAT 322
Finite Markov Chains and Applications
3 Credits Weekly (301)
This course presents fundamental results regarding finite Markov chains. Topics covered include connection with matrix theory, classification of states, main properties of absorbing, regular and ergodic finite Markov chains. Applications to genetics, psychology, computing science and engineering are also included.
Prerequisites: Minimum grades of C in either MATH 120 or MATH 125, and in STAT 265; a minimum grade of C in Math 214 is recommended.
STAT 324
Computational Statistics with R
3 Credits Weekly (220)
This course explores the usage of computer programming and algorithms in the field of statistics. The focus of the course will be computationally intensive statistical methods, such as Monte Carlo simulations, the expectationmaximization algorithm, and bootstrapping. The material will be illustrated and the students’ work will be carried out using R (a free, open source, multiplatform programming language).
Prerequisites: Minimum grades of C in STAT 266, and in either CMPT 101 or CMPT 103.
STAT 350
Sampling Theory and Applications
3 Credits Weekly (300)
This course concentrates on the design and analysis techniques for sample surveys. Topics include simple random sampling, stratified sampling, ratio, regression and difference estimation, singlestage cluster sampling, systematic sampling, twostage cluster sampling.
Prerequisites: A minimum grade of C in STAT 265.
STAT 353
Design and Analysis of Experiments
3 Credits Weekly (320)
This course deals with design, conduct and analysis of experimental studies. Topics include: principles of design, completely randomized design with one factor, randomized complete block designs, Latin square design, GraecoLatin square design, balanced incomplete block design, factorial design, twolevel factorial design, twolevel factorial design in incomplete blocks, twolevel fractional factorial design, experiments with random factors, and nested and splitplot designs.
Prerequisites: A minimum grade of C in STAT 266.
STAT 370
Applied Time Series Analysis
3 Credits Weekly (320)
This is an introductory course in applied time series analysis. Topics include computational techniques in time domain for simple time series models. Model selection, estimation, and forecasting are illustrated for the autoregressive, moving average, ARMA, ARIMA and SARIMA models. Applications are taken from medical and social sciences, biology, engineering and business.
Prerequisites: Minimum grades of C in STAT 266, MATH 214, and MATH 225.
STAT 371
Applied Categorical Data Analysis
3 Credits Weekly (320)
This course presents fundamental methods in categorical data analysis emphasizing applications. Topics include: analysis of twoway tables, models for binary response variables, loglinear models, and models for ordinal data and multinomial response data.
Prerequisites: A minimum grade of C in either STAT 252 or STAT 266.
STAT 372
Applied Multivariate Statistics and Machine Learning
3 Credits Weekly (320)
This course focuses on essential multivariate statistical methods. Topics include matrix algebra, tests of significance, principal components analysis, factor analysis, discriminant analysis, cluster analysis and canonical correlation analysis. This course is relevant to working professionals in health, social biological and behavioral sciences who engage in applied research in their field.
Prerequisites: Minimum grades of C in STAT 265, one of MATH 120 or MATH 125, and one of STAT 151 or STAT 161.
STAT 378
Applied Regression Analysis
3 Credits Weekly (320)
The course introduces methods in regression analysis. Topics include: multiple linear regression with particular focus on diagnostics, nonlinear regression, and generalized linear models, such as Poisson regression and logistic regression. Emphasis will be placed on the practical application of the statistical methods.
Prerequisites: Minimum grades of C in either STAT 266 or in all of STAT 252, MATH 114, and either MATH 120 or MATH 125.
STAT 395
Special Topics in Statistics at the intermediate level
3 Credits Weekly (301)
In this course students examine a topic in Statistics at the intermediate level. Topics vary and are announced prior to registration. Consult with faculty members in Statistics for details regarding current offerings. Note: This course may be taken multiple times for credit.
Prerequisites: A minimum grade of B in STAT 265 and consent of the department.
STAT 398
Independent Study
3 Credits Total (0045)
This course permits an intermediatelevel student to work with an instructor to explore a specific topic in depth through research or directed reading in primary and secondary sources. The student plans, executes and reports the results of their independent research or study project under the direction of a faculty supervisor. To be granted enrollment in the course, the student must have made prior arrangements with a faculty member willing to supervise his or her project. This course can be taken twice for credit.
Prerequisites: Consent of the Department.
STAT 412
Stochastic Processes
3 Credits Weekly (320)
This course presents fundamental results regarding discrete and continuous time Markov chains, branching processes, random walks, birth and death processes, semiMarkov processes, and Brownian motions. A practical but rigorous approach to stochastic processes will be utilized, with a focus on building models and understanding them mathematically.
Prerequisites: Minimum grades of C in CMPT 101 or CMPT 103, MATH 214, MATH 225, STAT 266, and an additional three credits in any 300level STAT course.
STAT 465
Probability Theory and Mathematical Statistics II
3 Credits Weekly (310)
This course offers a rigorous approach to probability theory and mathematical statistics. Topics include conditional expectation and variance, multivariate normal distribution, convergence, laws of large numbers, central limit theorem, maximum likelihood estimator and its properties, Delta method, likelihood ratio tests, Taylor and Edgeworth expansions.
Prerequisites: A minimum grade of C in Math 225, STAT 266 and any 300level statistics course.
STAT 478
Applied Generalized Linear Models
3 Credits Weekly (320)
The course introduces the theory of generalized linear models and their applications. Topics include exponential family of distributions, modeling binomial and count data, linear mixed models, gamma and inverseGaussian generalized linear models, and introduction to survival analysis. Emphasis will be placed on the practical application of the statistical methods.
Prerequisites: A minimum grade of C in both STAT 266 and STAT 378.
STAT 495
Special Topics in Statistics
3 Credits Weekly (301)
In this course, students examine an advanced topic in Statistics. Topics vary and are announced prior to registration. Consult with faculty members in Statistics for details regarding current offerings. Note: This course may up to three times for credit provided the topic is different.
Prerequisites: Minimum grade of B in a 300level STAT course and consent of the department.
STAT 496
Statistical Consulting Project
3 Credits Total (0045)
The aim of the course is to provide students with experience in statistical consultation. Students are assigned to research projects as consultants, which requires them to consider ethical statistical practice, choose the appropriate statistical technique, and communicate the results to a nonmathematical audience.
Prerequisites: A minimum grade of C in two 300level STAT courses and consent of the department.
STAT 498
Advanced Independent Study
3 Credits Total (0045)
This course permits seniorlevel students to work with an instructor to explore a specific topic in depth through research or directed reading in primary and secondary sources. The student plans, executes and reports the results of their independent research or study project under the direction of a faculty supervisor. To be granted enrollment in the course, the student must have made prior arrangements with a faculty member willing to supervise his or her project. This course can be taken twice for credit.
STAT 499
Honours Thesis
3 Credits Total (0045)
Under the direction of a faculty supervisor, registered students explore a specific topic in depth through research or directed reading. The student plans, executes, and reports the results of their independent research or study project under the direction of a faculty supervisor in a written Honours Thesis with oral defense. Note: This course is intended for students in the final year of their degree and is open only to students in the Applied Statistics Honours program.
Prerequisites: Consent of the Department.