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Registration for the Fall 2019 semester begins June 25.  Watch your email for more details.

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Introduction to Computing Science and Programming

Course Code: CMPT 1105
Faculty: Science & Technology
Department: Computing Science
Credits: 3.0
Semester: 15
Learning Format: Lecture, Lab
Typically Offered: TBD. Contact Department Chair for more info.
course overview

This course introduces students to the fundamental concepts of computing science and computer programming. Students will learn the process of program design to solve real-world problems and the fundamental building blocks of a computer program. By the end of this course, students will be able to develop computer programs in a high-level computer programming language (such as Python). This course is intended for students with little or no prior programming experience.

Course Content

1. Introduction to programming
    1.1. Program design
    1.2. Software development cycle
    1.3. Algorithms
    1.4. Pseudocode and flow chart
    1.5. Compilers and interpreters
    1.6. Integrated Development Environment
2. Variables, Input, and Output
    2.1. Variables
    2.2. Receiving input
    2.3. Arithmetic operators
    2.4. Formatting output
3. Decision Structures
    3.1. if Statement
    3.2. Relational operators
    3.3. if-else statement
    3.4. if-elif-else statement
    3.5. logical operators
4. Repetition Structures
    4.1. Repeating a Set Number of Times
    4.2. Repeating Only When True
    4.3. Nested loops
5. Functions
    5.1. Defining and calling functions
    5.2. Passing values to functions
    5.3. Scope of variables
    5.4. Using functions to create reusable code
6. Files and Exceptions
    6.1. File access methods
    6.2. Writing data to a file
    6.3. Reading data from a file
    6.4. Exceptions
7. Lists
    7.1. Creating a list
    7.2. Processing lists
    7.3. Using math in lists
    7.4. Ordering lists
    7.5. Comparing lists
8. Strings
    8.1. Creating strings
    8.2. Printing strings
    8.3. Formatting strings
9. Dictionaries and Sets
    9.1. Creating dictionaries and sets
    9.2. Processing Dictionaries and sets
    9.3. Dictionary and set methods
10. Fundamental Algorithms
    10.1. Sorting
    10.2. Searching
    10.3. Recursion
11. Classes and Object-Oriented Programming
    11.1. Procedural and object oriented programming
    11.2. Classes
    11.3. Objects
12. GUI Programming
    12.1. GUI
    12.2. Event-driven programs
    12.3. Creating GUI windows
    12.4. GUI input and output
    12.5. Widgets

Methods of Instruction

The topics will be covered through in-class lectures, laboratory assignments, reading, and research.

Means of Assessment

Evaluation will be carried out in accordance with Douglas College policies. The instructor will present a written  course outline with specific evaluation criteria at the beginning of the semester. Evaluation will be based on the following criteria:

Assignments                    10% - 20%
Quizzes                             0% - 20%
Midterm examination       20% - 35%
Final examination            25% - 40%
Class participation             0% - 5%

Learning Outcomes

Upon completion of this course, students will be able to:
• Explain the process of program design and software development
• Design a program to solve a well-defined problem
• Implement a program from a design
• Explain the differences among the various data types
• Explain how to accept input
• Format values for output
• Perform number and string manipulations
• Explain what decision structures are and how to add them to a program
• Explain what loops are and how to create loops in a program
• Evaluate conditions using the relational operators and combine conditions using logical operators
• Explain the purpose of functions and be able to write reusable code using functions
• Understand fundamental sorting and searching algorithms
• Understand recursion
• Use programs in a high-level language to read and write files
• Use object-oriented terminology correctly
• Create a class and use existing classes
• Design a graphical user interface (GUI) and develop event-driven programs

course prerequisites

Pre-Calculus 11 (C or better) or Foundations of Math 11 (C or better) or MATU 0411 (C or better)



curriculum guidelines

Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester/year of the course, consider the previous version as the applicable version.

course schedule and availability
course transferability

Below shows how this course and its credits transfer within the BC transfer system. 

A course is considered university-transferable (UT) if it transfers to at least one of the five research universities in British Columbia: University of British Columbia; University of British Columbia-Okanagan; Simon Fraser University; University of Victoria; and the University of Northern British Columbia.

For more information on transfer visit the BC Transfer Guide and BCCAT websites.


If your course prerequisites indicate that you need an assessment, please see our Assessment page for more information.