School of Computer Science, College of Engineering and Physical Sciences

Major Requirements (Honours)

This is a major within the degree: Bachelor of Computing.

Since many courses are offered in only one semester and course pre-requisites place an ordering on courses, the following program of studies is designed so that students can schedule their courses over 8 semesters of study. Students deviating from this schedule must consult with their academic advisor.

Course List

Code	Title	Credits
Semester 1
CIS*1300	Programming	0.50
CIS*1910	Discrete Structures in Computing I	0.50
MATH*1200	Calculus I	0.50
1.00 credits from Area of Emphasis or electives		1.00
Semester 2
CIS*2500	Intermediate Programming	0.50
CIS*2910	Discrete Structures in Computing II	0.50
MATH*1160	Linear Algebra I	0.50
1.00 credits from Area of Emphasis or electives		1.00
Semester 3
CIS*2030	Structure and Application of Microcomputers	0.50
CIS*2430	Object Oriented Programming	0.50
CIS*2520	Data Structures	0.50
1.00 credits from Area of Emphasis or electives		1.00
Semester 4
CIS*2750	Software Systems Development and Integration	0.50
CIS*3110	Operating Systems I	0.50
CIS*3490	The Analysis and Design of Computer Algorithms	0.50
1.00 credits from Area of Emphasis or electives		1.00
Semester 5
CIS*3150	Theory of Computation	0.50
CIS*3750	System Analysis and Design in Applications	0.50
STAT*2040	Statistics I 1	0.50
1.00 credits from Area of Emphasis or electives		1.00
Semester 6
CIS*3760	Software Engineering	0.50
0.50 CIS electives at the 3000 level or above		0.50
1.50 credits from Area of Emphasis or electives		1.50
Semester 7
1.00 credits in CIS at 3000 level or above		1.00
1.00 credits in CIS at the 4000 level		1.00
0.50 credits from Area of Emphasis or electives		0.50
Semester 8
CIS*4650	Compilers	0.50
0.50 credits in CIS at the 3000 level or above		0.50
0.50 credits in CIS at the 4000 level		0.50
1.00 credits from Area of Emphasis or electives		1.00

¹

Students pursuing the Data Science Area of Emphasis should consider taking STAT*2040 in an earlier semester.

Areas of Emphasis

Students must complete an Area of Emphasis consisting of 4.00 credits in order to graduate. Students may complete only one Area of Emphasis. 

Data Science

The Data Science Area of Emphasis focuses on the analysis and interpretation of large data sets to solve real-world problems. Students will learn data analysis, visualization, and machine learning techniques.

Course List

Code	Title	Credits
CIS*3130	System Modeling and Simulation	0.50
CIS*3530	Database Systems and Concepts	0.50
CIS*4020	Data Science	0.50
CIS*4780	Computational Intelligence	0.50
MATH*1210	Calculus II	0.50
STAT*2050	Statistics II	0.50
STAT*3210	Experimental Design	0.50
STAT*3240	Applied Regression Analysis	0.50

User Experience (UX)

The User Experience  Area of Emphasis is a study of user-centered design.  Students will learn how to conduct research to understand user needs related to technology design, and learn to design, build and test interactive prototypes to validate their ideas.

Course List

Code	Title	Credits
CIS*1050	Web Design and Development	0.50
CIS*2170	User Interface Design	0.50
CIS*4300	Human Computer Interaction	0.50
STAT*2050	Statistics II	0.50
Select 0.50 credits from:
CIS*3530	Database Systems and Concepts	0.50
CIS*3700	Introduction to Intelligent Systems	0.50
CIS*4020	Data Science	0.50
CIS*4820	Game Programming	0.50
Select 1.50 credits from:
ANTH*1150	Introduction to Anthropology	0.50
ANTH*2180	Public Anthropology	0.50
ANTH*2230	Regional Ethnography	0.50
ANTH*2660	Contemporary Indigenous Peoples in Canada	0.50
CTS*1000	Culture and Technology: Keywords	0.50
CTS*2010	Digital Approaches to Culture	0.50
CTS*3010	Digital Arts & Critical Making	0.50
CTS*3020	Digital Storytelling	0.50
HROB*2090	Individuals and Groups in Organizations	0.50
ONEH*1000	Introduction to One Health	0.50
PSYC*1000	Introduction to Psychology	0.50
PSYC*2390	Sensation and Perception	0.50
PSYC*2450	Developmental Psychology	0.50
PSYC*3800	Psychology and Education	0.50
SOAN*2120	Introductory Methods	0.50
SOAN*2290	Identities and Cultural Diversity	0.50
SOAN*3040	Globalization of Work and Organizations	0.50
SOC*1100	Sociology	0.50
SOC*2280	Society, Knowledge Systems and Environment	0.50
SOC*2390	Class and Stratification	0.50
SOC*3410	Individual and Society	0.50
SXGN*1000	Introduction to Sexualities and Genders	0.50
SXGN*1010	Sexuality, Gender, Race, and Indigeneity	0.50

Cybersecurity

The Cybersecurity Area of Emphasis equips students with the skills to protect computer systems and networks from cyber threats. Students will learn to identify security risks, implement cryptographic techniques, and design secure systems.

Course List

Code	Title	Credits
CIS*3210	Computer Networks	0.50
CIS*3530	Database Systems and Concepts	0.50
CIS*4010	Cloud Computing	0.50
CIS*4510	Computer Security Foundations	0.50
CIS*4520	Introduction to Cryptography	0.50
MATH*3130	Abstract Algebra	0.50
PHIL*2120	Ethics	0.50
Select 0.50 credits from:
HIST*1150	The Modern World	0.50
HIST*1250	Science and Technology in a Global Context	0.50
HIST*2040	War and Society	0.50
HIST*2220	Buying and Selling: Consumer Cultures	0.50

Artificial Intelligence (AI)

The AI Area of Emphasis focuses on teaching students how to design and build systems that can learn, reason, and solve problems like humans. Students will learn key AI techniques such as machine learning and neural networks. They will also explore the ethical implications of AI in society.

Course List

Code	Title	Credits
CIS*3090	Parallel Programming	0.50
CIS*3700	Introduction to Intelligent Systems	0.50
CIS*4020	Data Science	0.50
CIS*4720	Image Processing and Vision	0.50
CIS*4780	Computational Intelligence	0.50
MATH*1210	Calculus II	0.50
PHIL*3370	Ethics of Artificial Intelligence	0.50
STAT*2050	Statistics II	0.50

Credit Summary

Course List

Code	Title	Credits
Required Core Courses		12.00
Area of Emphasis		4.00
Free Electives		4.00
Total Credits		20

Co-op Requirements (Honours)

This is a major within the degree: Bachelor of Computing.

The Co-op program in Computer Science is a five year program, including five work terms. Students must complete a Fall, Winter and Summer work term and must follow the academic work schedule as outlined below (also found on the Co-operative Education website: https://www.recruitguelph.ca/cecs/). Please refer to the Co-operative Education program policy with respect to adjusting this schedule.

Academic and Co-op Work Term Schedule

Co-op Information

Year	Fall	Winter	Summer
1	Academic Semester 1	Academic Semester 2 COOP*1100	Off
2	Academic Semester 3	COOP*1000 Work Term I	Academic Semester 4
3	Academic Semester 5	Academic Semester 6	COOP*2000 Work Term II
4	COOP*3000 Work Term III	COOP*4000 Work Term IV	COOP*5000 Work Term V
5	Academic Semester 7	Academic Semester 8

Please refer to the Co-operative Education program policy with respect to work term performance grading, work term report grading and program completion requirements.

For additional program information students should consult with their Co-op Coordinator and Co-op Faculty Advisor, listed on the Co-operative Education web site.

Students are advised to plan their schedule of studies well in advance so that they can take all required prerequisites for later (especially 4000 level) courses. Students should note that some 4000 level courses are only given in alternate years. Failure to plan may result in the inability to take a particular senior CIS course. Not all sequences may be viable. Please check with the CIS Co-op faculty advisor for semester planning.

Credit Summary

(22.00 Total Credits)¹

Course List

Code	Title	Credits
Required Core Courses		12.00
Area of Emphasis		4.00
Free Electives		4.00
Co-op Work Terms		2.00
Total Credits		22

¹

Note: A minimum of four Co-op work terms including a Summer, Fall, and Winter are necessary to complete the Co-op requirement. A fifth Co-op work term is optional and if completed the total number of credits will equal 22.50.

Recommended Program Sequence

The recommended schedule of studies for Co-op is as follows:

Course List

Code	Title	Credits
Semester 1 - Fall
CIS*1300	Programming	0.50
CIS*1910	Discrete Structures in Computing I	0.50
MATH*1200	Calculus I	0.50
1.00 credits from Area of Emphasis or electives		1.00
Semester 2 - Winter
CIS*2500	Intermediate Programming	0.50
CIS*2910	Discrete Structures in Computing II	0.50
COOP*1100	Introduction to Co-operative Education	0.00
MATH*1160	Linear Algebra I	0.50
1.00 credits from Area of Emphasis or electives		1.00
Summer Semester
No academic semester or work term
Semester 3 - Fall
CIS*2030	Structure and Application of Microcomputers	0.50
CIS*2430	Object Oriented Programming	0.50
CIS*2520	Data Structures	0.50
1.00 credits from Area of Emphasis or electives		1.00
Winter Semester
COOP*1000	Co-op Work Term I	0.50
Semester 4 - Summer
CIS*2750	Software Systems Development and Integration	0.50
CIS*3110	Operating Systems I	0.50
CIS*3490	The Analysis and Design of Computer Algorithms	0.50
STAT*2040	Statistics I 1	0.50
0.50 credits from Area of Emphasis or electives		0.50
Semester 5 - Fall
CIS*3150	Theory of Computation	0.50
CIS*3750	System Analysis and Design in Applications	0.50
1.50 credits from Area of Emphasis or electives		1.50
Semester 6 - Winter
CIS*3760	Software Engineering	0.50
0.50 CIS electives at the 3000 level or above		0.50
1.50 creditsfrom Area of Emphasis or electives		1.50
Summer Semester
COOP*2000	Co-op Work Term II	0.50
Fall Semester
COOP*3000	Co-op Work Term III	0.50
Winter Semester
COOP*4000	Co-op Work Term IV	0.50
Summer Semester
COOP*5000	Co-op Work Term V	0.50
Semester 7 - Fall
0.50 credits from Area of Emphasis or electives		0.50
1.00 credits in CIS at the 3000 level or above		1.00
1.00 credits in CIS at the 4000 level		1.00
Semester 8 - Winter
CIS*4650	Compilers	0.50
0.50 credits in CIS at the 3000 level or above		0.50
0.50 credits in CIS at the 4000 level		0.50
1.00 credits from Area of Emphasis or electives		1.00
Total Credits		22.5

¹

Students pursuing the Data Science Area of Emphasis should consider taking STAT*2040 in an earlier semester.

 Areas of Emphasis

Students must complete one Area of Emphasis consisting of 4.00 credits in order to graduate. Students may complete only one Area of Emphasis.

Data Science

The Data Science Area of Emphasis focuses on the analysis and interpretation of large data sets to solve real-world problems. Students will learn data analysis, visualization, and machine learning techniques.

Course List

Code	Title	Credits
CIS*3130	System Modeling and Simulation	0.50
CIS*3530	Database Systems and Concepts	0.50
CIS*4020	Data Science	0.50
CIS*4780	Computational Intelligence	0.50
MATH*1210	Calculus II	0.50
STAT*2050	Statistics II	0.50
STAT*3210	Experimental Design	0.50
STAT*3240	Applied Regression Analysis	0.50

User Experience (UX)

The UX Design Area of Emphasis is a study of user-centered design.  Students will learn how to conduct research to understand user needs related to technology design, and learn to design, build and test interactive prototypes to validate their ideas.

Course List

Code	Title	Credits
CIS*1050	Web Design and Development	0.50
CIS*2170	User Interface Design	0.50
CIS*4300	Human Computer Interaction	0.50
STAT*2050	Statistics II	0.50
Select 0.50 credits from:
CIS*3530	Database Systems and Concepts	0.50
CIS*3700	Introduction to Intelligent Systems	0.50
CIS*4020	Data Science	0.50
CIS*4820	Game Programming	0.50
Select 1.50 credits from:
ANTH*1150	Introduction to Anthropology	0.50
ANTH*2180	Public Anthropology	0.50
ANTH*2230	Regional Ethnography	0.50
ANTH*2660	Contemporary Indigenous Peoples in Canada	0.50
CTS*1000	Culture and Technology: Keywords	0.50
CTS*2010	Digital Approaches to Culture	0.50
CTS*3010	Digital Arts & Critical Making	0.50
CTS*3020	Digital Storytelling	0.50
HROB*2090	Individuals and Groups in Organizations	0.50
ONEH*1000	Introduction to One Health	0.50
PSYC*1000	Introduction to Psychology	0.50
PSYC*2390	Sensation and Perception	0.50
PSYC*2450	Developmental Psychology	0.50
PSYC*3800	Psychology and Education	0.50
SOC*2390	Class and Stratification	0.50
SOC*3410	Individual and Society	0.50
SOAN*2290	Identities and Cultural Diversity	0.50
SOAN*3040	Globalization of Work and Organizations	0.50
SOAN*2120	Introductory Methods	0.50
SOC*1100	Sociology	0.50
SOC*2280	Society, Knowledge Systems and Environment	0.50
SXGN*1000	Introduction to Sexualities and Genders	0.50
SXGN*1010	Sexuality, Gender, Race, and Indigeneity	0.50

Cybersecurity

The Cybersecurity Area of Emphasis equips students with the skills to protect computer systems and networks from cyber threats. Students will learn to identify security risks, implement cryptographic techniques, and design secure systems.

Course List

Code	Title	Credits
CIS*3210	Computer Networks	0.50
CIS*3530	Database Systems and Concepts	0.50
CIS*4010	Cloud Computing	0.50
CIS*4510	Computer Security Foundations	0.50
CIS*4520	Introduction to Cryptography	0.50
MATH*3130	Abstract Algebra	0.50
PHIL*2120	Ethics	0.50
Select 0.50 credits from:
HIST*1150	The Modern World	0.50
HIST*1250	Science and Technology in a Global Context	0.50
HIST*2040	War and Society	0.50
HIST*2220	Buying and Selling: Consumer Cultures	0.50

Artificial Intelligence (AI)

The AI Area of Emphasis focuses on teaching students how to design and build systems that can learn, reason, and solve problems like humans. Students will learn key AI techniques such as machine learning and neural networks. They will also explore the ethical implications of AI in society.

Course List

Code	Title	Credits
CIS*3090	Parallel Programming	0.50
CIS*3700	Introduction to Intelligent Systems	0.50
CIS*4020	Data Science	0.50
CIS*4720	Image Processing and Vision	0.50
CIS*4780	Computational Intelligence	0.50
MATH*1210	Calculus II	0.50
PHIL*3370	Ethics of Artificial Intelligence	0.50
STAT*2050	Statistics II	0.50