OntarioLearn Course Details Start at 05/14/2024
To register for an OntarioLearn course visit the Continuing Education website.
Course Details
| Course Title |
Taxation I |
| Conestoga Course Code |
OLRN2280 |
| Host College |
St. Lawrence College |
| OntarioLearn Course Code |
SL-CSSL68 |
| Start Date |
05/14/2024 |
| End Date |
08/20/2024 |
| Course Fee |
$431.25 |
| Hours |
45 |
| Pre-requisites |
OLRN1725 - Accounting Basics 2 |
| Course Description |
This is an introductory course to federal income tax in a Canadian setting. Students will gain an understanding of the underlying objectives and principles of income taxation. Topics include employment income, business income, income from property, investment income and capital gains. Personal tax returns for individuals will be completed both manually and using a tax preparation software program. |
| Midterm Exam Format |
Online-no supervision requirement |
| Final Exam Format |
Online-no supervision requirement |
| Final Exam Group |
05/14/2024 |
| Other Evaluation Details |
Midterm 20%, Case Study 30%, Final Exam 50% |
| Minimum Passing Mark |
50 |
| Mandatory Chats |
No |
| Mandatory Group Work |
No |
| Other Details |
This course does not support MAC users |
| Platform |
Blackboard |
| Computer Software Requirements |
Microsoft Excel |
| Additional |
We suggest you do not purchase your textbook until approximately two weeks prior to the course start date as textbooks may change. |
| Textbook Information |
Purchase textbook from www.textnet.ca. No substitutions unless otherwise stated. |
Textbooks
| Textbook Title |
Byrd & Chen's Canadian Tax Principles, 2023-2024 Edition + Volume 1 and Volume 2 + Study Guide + Acc |
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| Author |
Gary Donell, Clarence Byrd |
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| Publisher |
Pearson Canada |
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| Edition |
2023-2024 Edition |
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| ISBN |
9780138177287 |
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| Special Instructions |
https://www.pearson.com/en-ca/subject-catalog/p/byrd-chen-s-canadian-tax-principles-2023-2024-edition/P200000011348/9780138177287?gad=1&gclid=EAIaIQobChMIgsr38bWHgQMV5RVlCh0sXg51EAAYASAAEgJSWPD_BwE |
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