Curriculum Guideline

Designing with Raspberry Pi

Effective Date:
Course
Discontinued
No
Course Code
CMPT 2200
Descriptive
Designing with Raspberry Pi
Department
Computing Science
Faculty
Science & Technology
Credits
3.00
Start Date
End Term
Not Specified
PLAR
No
Semester Length
15
Max Class Size
35
Contact Hours
Lecture: 2 hours per week Lab/Seminar: 2 hours per week
Method Of Instruction
Lecture
Lab
Seminar
Methods Of Instruction

Lecture, demonstrations, seminars, laboratory hands-on assignments, reading, and research

Course Description
This course provides the student with the necessary knowledge of the Raspberry Pi to design and develop practical applications. Initial emphasis will be placed on the embedded Linux OS, configuring, setting up and programming the Pi. In the latter part of the course, students will be able to apply that knowledge to case studies and projects.
Course Content
  1. Raspberry Pi Cabling/Setup/Startup
    1. Parts Check
    2. Safety
    3. Cable connections
    4. Preparing the SD card
    5. Installing the Operating System
  2. Exploring the Linux OS
  3. Python Programming of the Pi
    1. Hello World
    2. GUI Game
    3. Accessing the Internet
    4. Playing Audio
    5. Controlling peripherals
    6. Controlling LEDs
    7. Getting switch and sensor feedback
    8. Detecting light
  4. Case study and project analysis
    1. Problem definition
    2. Identification of constraints
    3. Design solution recommendation
  5. Case study and project development
    1. Program development
    2. Program testing
  6. Case study and project implementation
    1. Implementation
    2. Demonstration
    3. Documentation
Learning Outcomes

After completing this course, students will be able to:

  1. setup and operate the Raspberry Pi;
  2. understand the basics of the Linux OS used on the Pi;
  3. program the Pi using the programming language Python to:
    1. access a network;
    2. play audio;
    3. control light emitting diodes (LEDs);
    4. get feedback from a switch;
    5. get feedback from a sensor;
  4. apply creative thinking skills in the design of practical solutions to specific case studies and projects; and
  5. create applications that make use of electrical, computer and/or microcontroller hardware, sensor interfaces, and mechanical components.
Means of Assessment
Participation    0% - 10%
Labs 10% - 20%
Quizzes 10% - 20%
Case Studies and Projects (minimum 3)      30% - 50%
Midterm Examination 20% - 30%
TOTAL 100%
Textbook Materials

Teaching materials will be decided by the instructor at the time of the course offering.

Prerequisites

CMPT 1110 (C or better)

Corequisites

None.

Equivalencies

None.

Which Prerequisite

None.