INFO70040
Big Data Tools		 Sheridan
 
  I: Administrative Information   II: Course Details   III: Topical Outline(s)  Printable Version
 

Land Acknowledgement

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Section I: Administrative Information
  Total hours: 42.0
Credit Value: 3.0
Credit Value Notes: N/A
Effective: Fall 2021
Prerequisites: N/A
Corequisites: N/A
Equivalents: INFO70283
Pre/Co/Equiv Notes: N/A

Program(s): Data Science
Program Coordinator(s): N/A
Course Leader or Contact: N/A
Version: 20210907_00
Status: Approved (APPR)

Section I Notes: Access to course materials and assignments will be available on Sheridan's Learning and Teaching Environment (SLATE). Students will need reliable access to a computer and the internet.
 
 
Section II: Course Details

Detailed Description
Students are introduced to popular Big Data tools such as the Hadoop framework and NoSQL databases. Students learn the basic concepts of MapReduce and Python scripting. Through various exercises, students explore widely used software for Big Data like Hive, Pig, and Spark. NOTE: For students who require this course for completion of the Data Science Board Certificate, please note that you can complete the equivalent course INFO70283 Big Data Analytics Tools.

Program Context

 
Data Science Program Coordinator(s): N/A
This is a mandatory course in the Data Science Certificate.


Course Critical Performance and Learning Outcomes

  Critical Performance:
By the end of this course, students will have demonstrated the ability to manipulate data in the Hadoop file system and NoSQL data stores using Big data tools and scripts.
 
Learning Outcomes:

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

  1. Explain how Big Data Tools are used in the data science process
  2. Explain how Hadoop stores and processes data
  3. Query a Hadoop Distributed File System using Python scripts
  4. Extract data patterns from a Hadoop Distributed File System using Big Data Tools
  5. Explain how data patterns are extracted from NoSQL data stores using Big Data Tools
  6. Manipulate data using a NoSQL Database

Evaluation Plan
Students demonstrate their learning in the following ways:

 Evaluation Plan: ONLINE
 Quizzes (3 x 5%)15.0%
 Assignment 120.0%
 Assignment 215.0%
 Assignment 315.0%
 Assignment 415.0%
 Assignment 520.0%
Total100.0%

Evaluation Notes and Academic Missed Work Procedure:
TEST AND ASSIGNMENT PROTOCOL The following protocol applies to every course offered by 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.



Evaluation Plan: IN-CLASS
 Quizzes (3 x 5%)15.0%
 Assignments 120.0%
 Assignment 215.0%
 Assignment 315.0%
 Assignment 415.0%
 Assignment 520.0%
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:

 

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 Continuing and Professional Studies Students: F2F Students
Online N/A Continuing and Professional Studies Students: Online 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 ]

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