PROG70031
Python Development II		 Sheridan
 
  I: Administrative Information   II: Course Details   III: Topical Outline(s)  Printable Version
 

Land Acknowledgement

Sheridan College resides on land that has been, and still is, the traditional territory of several Indigenous nations, including the Anishinaabe, the Haudenosaunee Confederacy, the Wendat, and the Mississaugas of the Credit First Nation. We recognize this territory is covered by the Dish with One Spoon treaty and the Two Row Wampum treaty, which emphasize the importance of joint stewardship, peace, and respectful relationships.

As an institution of higher learning Sheridan embraces the critical role that education must play in facilitating real transformational change. We continue our collective efforts to recognize Canada's colonial history and to take steps to meaningful Truth and Reconciliation.
Section I: Administrative Information
  Total hours: 42.0
Credit Value: 3.0
Credit Value Notes: N/A
Effective: Spring/Summer 2023
Prerequisites: N/A
Corequisites: N/A
Equivalents: N/A
Pre/Co/Equiv Notes: Recommended Pre-requisite: PROG70030 Introduction to Python Programming

Program(s): Python Web Developer
Program Coordinator(s): N/A
Course Leader or Contact: N/A
Version: 20230508_00
Status: Approved (APPR)

Section I Notes: This is a course offered through OntarioLearn. Access to the course materials will be through OntarioLearn.com and you will be sent an email with your login details
 
 
Section II: Course Details

Detailed Description
Students expand on the knowledge and skills acquired in PROG70030 Introduction to Python Programming. Students explore advanced Python data structures, learn to manage project files, and perform basic error handling and testing. Through hands-on activities, students apply recommended programming practices including documentation and naming conventions to build Python files.

Program Context

 
Python Web Developer Program Coordinator(s): N/A
This course is part of the Python Web Developer MC


Course Critical Performance and Learning Outcomes

  Critical Performance:
By the end of this course, students will have demonstrated the ability to build a documented, testable and distributable Python application using a Version Control System (VCS).
 
Learning Outcomes:

To achieve the critical performance, students will have demonstrated the ability to:

  1. Configure Github to develop a Python codebase.
  2. Create modular and flexible code through test driven development.
  3. Build code using container types and advanced structures to store data.
  4. Manipulate data using iterators.
  5. Handle interactions with a filesystem using I/O operations.
  6. Control application flow using exception handling.
  7. Package a Python project for distribution.

Evaluation Plan
Students demonstrate their learning in the following ways:

 Evaluation Plan: ONLINE
 Assignment 15.0%
 Assignment 215.0%
 Assignment 310.0%
 Assignment 410.0%
 Assignment 515.0%
 Assignment 620.0%
 Assignment 725.0%
Total100.0%



Evaluation Plan: IN-CLASS
 Assignment 15.0%
 Assignment 215.0%
 Assignment 310.0%
 Assignment 410.0%
 Assignment 515.0%
 Assignment 620.0%
 Assignment 725.0%
Total100.0%

Evaluation Notes and Academic Missed Work Procedure:
TEST AND ASSIGNMENT PROTOCOL The following protocol applies to every course offered by the Faculty of Continuing and Professional Studies 1. Students are responsible for staying abreast of test dates and times, as well as due dates and any special instructions for submitting assignments and projects as supplied to the class by the instructor. 2. Students must write all tests at the specified date and time. Missed tests, in-class/online activities, assignments and presentations are awarded a mark of zero. The penalty for late submission of written assignments is a loss of 10% per day for up to five business days (excluding Sundays and statutory holidays), after which, a grade of zero is assigned. Business days include any day that the college is open for business, whether the student has scheduled classes that day or not. An extension or make-up opportunity may be approved by the instructor at his or her discretion.

Provincial Context
The course meets the following Ministry of Colleges and Universities requirements:

 

Essential Employability Skills
Essential Employability Skills emphasized in the course:

  • Communication Skills - Communicate clearly, concisely and correctly in the written, spoken, visual form that fulfills the purpose and meets the needs of the audience.
  • Communication Skills - Respond to written, spoken, or visual messages in a manner that ensures effective communication.
  • Critical Thinking & Problem Solving Skills - Use a variety of thinking skills to anticipate and solve problems.
  • Information Management Skills - Analyze, evaluate, and apply relevant information from a variety of sources.
  • Information Management - Locate, select, organize and document information using appropriate technology and information systems.
  • Personal Skills - Manage the use of time and other resources to complete projects.
  • Personal Skills - Take responsibility for one's own actions, decisions, and consequences.

Prior Learning Assessment and Recognition
PLAR Contact (if course is PLAR-eligible) - Office of the Registrar

  • Not Eligible for PLAR
 
 
Section III: Topical Outline
Some details of this outline may change as a result of circumstances such as weather cancellations, College and student activities, and class timetabling.
Print Instruction Mode Professor Applicable Student Group(s)
In-Class N/A In-Class Continuing and Professional Studies Students
Online N/A Online Continuing and Professional Studies Students

Sheridan Policies

It is recommended that students read the following policies in relation to course outlines:

  • Academic Integrity
  • Copyright
  • Intellectual Property
  • Respectful Behaviour
  • Accessible Learning
All Sheridan policies can be viewed on the Sheridan policy website.

Appropriate use of generative Artificial Intelligence tools: In alignment with Sheridan's Academic Integrity Policy, students should consult with their professors and/or refer to evaluation instructions regarding the appropriate use, or prohibition, of generative Artificial Intelligence (AI) tools for coursework. Turnitin AI detection software may be used by faculty members to screen assignment submissions or exams for unauthorized use of artificial intelligence.

Course Outline Changes: The information contained in this Course Outline including but not limited to faculty and program information and course description is subject to change without notice. Nothing in this Course Outline should be viewed as a representation, offer and/or warranty. Students are responsible for reading the Important Notice and Disclaimer which applies to Programs and Courses.
[ Printable Version ]

Copyright © Sheridan College. All rights reserved.