This is a second course in computing science and programming, presented using an object-oriented perspective and intensive hands-on experience. Students will learn how to apply fundamental object-oriented concepts using a high-level programming language like C++ to efficiently program applications that have an intermediate level of difficulty. Topics include encapsulation, inheritance, aggregation, polymorphism, templates, and virtual functions. Software development lifecycle and modelling, code efficiency analysis, event-driven programming, and exception handling are also introduced in this course.
- A brief review of C++ basics and procedural programming:
- Data types and operators
- Decision-making and loop structures
- Arrays, strings, and pointers
- Static vs. dynamic memory allocation
- Iterative and recursive functions
- Basic IO and file processing
- Exception handling
- Modular programming: Procedural vs. object-oriented programming
- Classes as abstract data types
- Static class members vs. non-static instance members
- Information hiding, private attributes, and getter/setter methods
- Constructors, destructors, and copy constructors
- Separating class specification from its implementation
- Operator overloading and object type conversion
- Rvalue references and move semantics
- Inheritance, class hierarchies, and protected members
- Polymorphism and virtual functions
- Abstract base classes and pure virtual functions
- Exception classes and object-oriented exception handling
- Generics, templates, and C++ STL
- Lambda expressions and function pointers
- Event-driven programming
- CLI vs. GUI applications
- C++ GUI API’s
- Basic GUI controls
- Program testing and code debugging techniques
- An introduction to code quality factors
- Efficiency analysis of algorithms
- Good coding style, and conventions
- Assertions, invariants, and correctness
- An introduction to documentation systems
- Basics of C++ programming for embedded systems
Methods of Instruction
Lectures, labs, and self-directed learning (programming assignments)
Means of Assessment
Evaluation will be carried out in accordance with Douglas College policy. 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.
|10% - 20%
||10% - 20%
||0% - 10%
||25% - 35%
||30% - 40%
**In order to pass the course, in addition to receiving an overall course grade of 50%, students must achieve a grade of at least 50% on the combined weighted examination components (including quizzes, midterm and final examinations.)
Upon the completion of this course, successful students will be able to:
- Explain the importance of modular programming and compare procedural and object-oriented methodologies
- Discuss encapsulation, abstraction, information hiding, inheritance, polymorphism, virtual functions, templates, and other object-oriented-related terminology
- Identify different types of methods and their roles in a class: constructors, destructors, copy constructors, getters and setters, and operator-overloading methods
- Design, develop, implement, and document programs efficiently according to current best practices
- Identify and use some of the basic data structures implemented in C++ STL (Standard Template Library) to develop software
- Analyze and compare the efficiency of algorithms
- Explain the importance of assertions and invariants to ensure program correctness
- Explain the role of documentation systems
- Compare CLI (Command Line Interface) and GUI (Graphical User Interface) applications, and implement simple GUI applications
- Define exception classes to utilize object-oriented exception handling
- Apply lambda expressions and function pointers
Minimum C grade in CMPT 1109* or CMPT 1110 or CMPT 1105 or CSIS 1175
* CMPT 1109 is strongly preferred.
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.
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.