New Courses (Effective 201910):

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New Courses (Effective 201930):

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ASIA 2210, 3 credits

Cinematic Depictions of Indian Society and Culture

New course as of Spring Semester 2019

Students study Indian history, society, religion, and culture through the medium of contemporary Indian film, produced both in India and abroad. By discussing films, students explore major topics such as colonialism, nationalism, gender, status, religion, immigration, and violence.


ASIA 2240, 3 credits

Religions of India

New course as of Spring Semester 2019

In this course, students explore the major religions of India, including Buddhism, Hinduism, Islam, Jainism, Sikhism, as well as minority religions. They learn about both historical and contemporary aspects of Indian religious thought and practice.

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CMNS 1122, 3 credits

Communications for Creative Professionals

New course as of Spring Semester 2019

Succeeding in the creative arts industries requires strong professional and interpersonal communication skills.  Students prepare to be successful creative professionals by learning how to promote themselves and their work to potential clients, how to give meaningful feedback on others' work, and how to work effectively on a team.  Students practice a variety of strategies for interpersonal, oral, and written communication, including conveying confident body language, demonstrating dynamic presentation skills, and using persuasive writing techniques.

Prerequisite(s): One of LET 3 (or LPI equivalent); a minimum 80% in one of BC English 12 or BC English Literature 12 or BC English First Peoples 12; or a "C" in ENGL 1120; or an "S" in one of ENGL 1107, 1108, or 1110.


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CPSC 4800, 3 credits

Computing for Data Analytics

New course as of Spring Semester 2019

Computers provide the power and platform for any significant work in data analytics. Students learn about an organization's information systems and business processes as well as its multiple data sources. Students issue database commands to examine the data's structure and organization and retrieve appropriate sized datasets. Students also learn programming using the Python programming language.

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CPSC 4810, 3 credits

Transformations for Data Analytics

New course as of Spring Semester 2019

Data analysts need to integrate heterogeneous data from a variety of sources and in a variety of formats to provide workable homogeneous data sets for further analysis or processing. Students write programs using a scripting language to extract, transform, merge, and clean data to generate datasets that can be loaded into an appropriate analysis or visualization tool.

Prerequisite(s): CPSC 4800

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CPSC 4820, 3 credits

Visualization for Data Analytics

New course as of Spring Semester 2019

Data visualization is the third and final part in the data science workflow. This is where all of the collecting, transforming, and analysis culminates in a form of communication to others. Students need to convert that qualitative and quantitative results into visual formats that others can understand and benefit from.

Prerequisite(s): DANA 4800 and CPSC 4800.

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DANA 4800, 3 credits

Data Analysis and Statistical Inference

New course as of Spring Semester 2019

Statistical inference is the process of drawing conclusions from data. Students gain a foundation in probability, descriptive statistics, sampling methods, normal distributions, Poisson distributions, sampling distributions, one-sample and two-sample statistical inference procedures on both proportions and means (including z and t).

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DANA 4810, 3 credits

Predictive Analytics - Quantitative Data

New course as of Spring Semester 2019

Predictive Analytics is a process of using and applying statistical analysis techniques for estimation and forecasting. Students learn standard methodology for analyzing quantitative data, including analysis of variance, design of experiments, simple regression, multiple regression, data transformation, and generalized linear models.

Prerequisite(s): A passing mark from Data Analytics Math Assessment Test or MATH 4801 and DANA 4800.

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DANA 4820, 3 credits

Predictive Analytics - Qualitative Data

New course as of Spring Semester 2019

Predictive Analytics is a process of using and applying statistical analysis techniques for estimation and forecasting. Students learn standard methodology for analyzing categorical data including chi-square tests for a two-way and multi-way contingency tables, logistic regression, and Poisson regression.

Prerequisite(s): A passing mark from Data Analytics Math Assessment Test or MATH 4801 and DANA 4800.

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DASH 2199, 3 credits

Applied Project

New course as of Spring Semester 2019

This project-oriented capstone course provides the opportunity to apply the concepts, skills and techniques from the DASSH program curriculum to develop and execute a project for an external partner. Students work closely with each other and their external partner(s) engaging in research, critical thinking, problem solving, project management, structured teamwork and other related skills. Successful completion of the DASSH e-portfolio is also a component of this course.

Registration in this course is restricted to students admitted to the Diploma in Applied Social Sciences and Humanities

Prerequisite(s):Successful completion of at least 46 credits including DASH 1199 with a minimum "C-" grade, ENGL 1127 or 1128 with a minimum "C" grade, and DASH 2000 with an ‘S’.

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FINA 2135, 3 credits

Textile Studio

New course as of Spring Semester 2019

Students are introduced to the use of textile-based materials and basic techniques associated with them in order to make two or three-dimensional artwork and gain an understanding of contemporary textile work. Topics include traditional processes and non-traditional applications, contextualized in history and in contemporary practice.

Registration in this course is restricted to students admitted to the Diploma in Fine Arts.

Prerequisite(s): FINA 1120 and; FINA 1131 or FINA 1161


GERO 2315, 3 credits

Practicum I

New course as of Spring Semester 2019

The practicum course is a structured educational experience that includes a supervised placement in a community organization (2 days a week for a total of 208 hours) and concurrent bi-weekly seminars. Students integrate classroom and seminar learning with practical experience, applying specialized knowledge, theory and ethics within gerontology service settings while developing professional practice skills. In the field placements, students work with older adults, family members, community groups, and professionals.

Registration in this course is restricted to students admitted to the Diploma in Gerontology.

Prerequisite(s): GERO 1100, 1115, 1200, 1215, 1300, 1400, HSCI 1195, PSYC 1115, 1215, ENGL 1127 or 1128, 1129 or 1130 or permission of the program coordinator

Corequisite(s): GERO 2100, 2210, 2400, HSCI 2295, PSYC 2425 or permission of the program coordinator

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GERO 2400, 1 credit

Special Topics in Aging II

New course as of Spring Semester 2019

Students tap into the knowledge, experience, and ideas of leading practitioners in the field of gerontology exploring topics such as the arts and aging, addiction and aging, and health promotion. Students learn about new programs, research, innovative approaches, ethical dilemmas, policies, and emerging topics. Guest speakers from the community are invited into the classroom and students participate in field trips when appropriate.

Priority registration for students admitted to the Diploma in Gerontology.

Prerequisite(s): GERO 1400 or permission of the program coordinator.

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GERO 2415, 3 credits

Practicum II

New course as of Spring Semester 2019

The practicum course is a structured educational experience that includes a supervised placement in a community organization (2 days a week for a total of 208 hours) and concurrent bi-weekly seminars. Students integrate classroom and seminar learning with practical experience, applying specialized knowledge, theory and ethics within gerontology service settings while developing professional practice skills. In the field placements, students work with older adults, family members, community groups, and professionals.

Registration in this course is restricted to students admitted to the Diploma in Gerontology.

Prerequisite(s): GERO 1100, 1115, 1200, 1215, 1300, 1400, 2100, 2210 (new course), 2315, HSCI 1195, 2295, PSYC 1115, 1215, 2425, ENGL 1127 or 1128, 1129 or 1130 or permission of the program coordinator

Corequisite(s): GERO 2200, 2215, 2225, RECR 2395 or permission of the program coordinator

 

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JOUR 1240, 1.5 credits

Advanced Copy Editing

New course as of Spring Semester 2019

This course builds on the skills developed in JOUR 1142: Basics of Copy Editing.  Students learn how to undertake more challenging structural changes to stories, refining those stories to improve their flow.  Students also learn how to assess stories for gaps and omissions in information, fairness, good taste , libel, editorializing and other issues.

Registration in this course is restricted to students admitted to a Journalism program.

Prerequisite(s): JOUR 1142 Basics of Copy Editing

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MATH 4801, 1 credit

Mathematics for Data Analytics

New course as of Spring Semester 2019

Students require a solid foundation in pre-calculus algebra and linear algebra to succeed in the PDD in Data Analytics. Topics include linear equations, systems of equations, matrix operations, quadratic forms, power functions, square root functions, exponential functions, logarithmic function, and reciprocal functions.

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NURS 4161, 3 credits

Nursing Knowledge VIII: Advanced Healing Modalities for Complex Care

New course as of Spring Semester 2019

Students examine concepts related to complex alterations in health and essential nursing care of adults in complex health care settings. Students learn to integrate knowledge through the use of a decision-making framework (DMF) in understanding clients' and families' experiences with complex health challenges. Students also explore nursing theory, humanities, and health sciences for advanced physical assessment for pharmacological and diagnostic investigation. There is a focus on inter-professional practice and continuity of care as well as teaching of clients, families, and groups.

Prerequisite(s): A minimum 'C+' grade in NURS 3309, NURS 3330, and NURS 3361; and an 'S' grade in NURS 3363.

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STAT 3225, 4 credits

Statistical Methods for Biological and Health Sciences

New Course as of Fall Semester 2018

Students learn how to use statistical methods for analyzing data from the biological and health sciences. The programming language R and R commander is used for statistical computing including data manipulation, data analysis, and graphical display of data. Topics covered in this course include: observational and experimental studies, parametric and nonparametric statistical methods, analysis of contingency tables, analysis of variance, multiple linear regression, and logistic regression. Students are required to complete a term data analysis project using statistical methods and software presented in this course.

Prerequisite(s): STAT 1181, STAT 2281