Object-Oriented Design Winter Term 2010

Object-Oriented Design
Winter Term 2010 COMP 304B (CRN 728)

General Information

Course title		Object-Oriented Design
Course number		COMP 304B (CRN 728)
Credits		3
Prerequisites		COMP 206 (software systems).
		COMP 251 (data structures and algorithms),
		COMP 302 (programming languages and paradigms),
		If you do not have the pre-requisites for the course, the course will be
		deleted from your record by the Faculty of Science.
Course venue		Trottier 0070 (check Minerva).
		Monday, Wednesday, and Friday 14:35 - 15:25
Tutorials		Location: Torottier 3120 (Krieble Lab)
		Time: 17:00 - 18:30
Enrollment Cap		Enrollment is limited to 50 students.
Instructor		Eugene Syriani
		McConnell Engineering, room 202
		e-mail: esyria@cs.mcgill.ca (send course-related mail as discussion in WebCT!)
Office hours		Wednesday 15:30 - 17:30, or send e-mail for appointment
TA 1		Jacob Beard
		e-mail: jbeard4@cs.mcgill.ca (send course-related mail as discussion in WebCT!)
		McConnell Engineering, room 202 (Modelling, Simulation and Design Lab)
Office hours		Monday 10:30 - 12:30, or send e-mail for appointment
TA 2		Christopher Dragert
		e-mail: christopher.dragert@mail.mcgill.ca (send course-related mail as discussion in WebCT!)
		McConnell Engineering, room 322 (Software Engineering Lab)
Office hours		Wednesday 10:00 - 12:00, or send e-mail for appointment
Course website		Web page Link to WebCT
Assignments		hand in via WebCT

Description from Course Calendar

The object model, objects and classes, verification and testing, object-oriented analysis, unified modelling language and design patterns.

Introduction and Rationale

The complexity of software systems to be built increases with the number of components, the diversity of these components, the level of interactiveness and re-activeness, as well as with the need for integration with real-world systems. These issues are amplified when designing real-time, embedded systems. While the complexity of systems increases, so does the demand for reliability, reduced production time, and maintainability. Thanks to extensive research in algorithms and datastructures, as well as suitable -object-oriented- programming languages, re-usable libraries of "components" have been developed. Examples are the Standard Template Library (STL) for C++ and AWT/Swing for Java. Given the complexity of software-to-be-built, it is necessary to focus, not only on coding and programming, but also on the design of software. The design effort turns user requirements (the "what?") into working software solutions (the "how?"). Design provides a framework for reasoning at a level of abstraction higher than that of code (which is, certainly in modern, object-oriented languages, already at a high level of abstraction compared to the level of machine instructions). Thanks to this high level of abstraction

a higher level of complexity can be managed (i.e., exceeding hundreds of thousands of lines of code);
it is possible to focus on the essentials, abstracting away cumbersome detail;
designs, when described in appropriate (visual) notations such as the UML are an excellent means for communicating problems and solutions;
designs (as opposed to code-libraries) are re-usable at a level independent of implementation choices (language, libraries). The concept of design re-use has led to the proliferation of design-patterns.

Course Content

The above introduction highlights the need for object-oriented design as opposed to coding. This will put object-oriented programming in its proper context and allow one to tackle complex problems in a structured fashion. The object-oriented paradigm, with all the support such as object-oriented languages, type theory, tools, UML notation, and design patterns, has reached a sufficient level of maturity to allow a comprehensive presentation.

The goal of the course is to give in-depth insight in the nature of object-oriented analysis and design, integrating the following related aspects:

understanding the (object-oriented) software development process;
software testing as an integral part of the process;
understanding the object-oriented paradigm;
standardized representation for design: the Unified Modelling Language (UML);
which criteria allow one to assess the quality of a design;
how to go from design to code in a structured (and possibly automated) fashion;
design patterns for high-level design re-use.

The course is not about a particular design method, nor a particular language or tool. We will however use the programming language Python for most examples and all assignments. This, as Python allows for rapid prototyping of complex software system which will allow focus on design rather than coding.

The important concepts of the course as well as their inter-relationships are given in a "concept map" (in UML Class Diagram syntax) in Figure 1.

Figure 1: Object-Oriented Design Concept Map

Learning Outcomes

By the end of the course, you will

know the aspects listed above.
You will understand the meaning of these different concepts and notations, as well as when to apply them.
You will learn to reason about the quality of designs from the point of view of re-use as well as consistency.
Above all, through the assignments, you will learn to take your abstract knowledge and creatively apply it to practical problems such as the design of a small spreadsheet application.

Course Material

Meilir Page-Jones. Fundamentals of Object-Oriented Design in UML. Object Technology Series. Addison-Wesley, 2000. ISBN 0-201-69946-X.
Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides. Design Patterns, Elements of Reusable Object-Oriented Software. Professional Computing Series. Addison-Wesley, 1995. ISBN 0-201-63361-2.

Several copies of these books are put on reserve at the Schulich Library.

The McGill bookstore has a reduced-price "package" containing both books. ISBN 0130391123.

Additional material will be made available via the course website and in class (blackboard notes).

Assignments and Evaluations

5 assignments (2 x 3-week, 1 x 2-week, 1 x 1.5-week, 1 x 1-week). The implementation language for all assignments is Python (http://www.python.org).

Grades distribution:

50% on the implementation assignments. Weighting of the assignments is based on difficulty and amount of work.
15% on the midterm (in class: Monday March, 1st).
35% on the final exam.

A supplemental exam, worth 50%, covers the whole course.
There is no opportunity to re-do or increase grades obtained for assignments.

Assignments will be judged on (in this order of importance):

correctness,
amount of work,
structure and completeness,
presentation.

Assignment submission policy:

all assignments are due on the specified date no later than 23:59,
late submissions may be rejected.

Example assignments from previous incarnations of the course: 2008, 2007, 2006, 2005, 2004, 2003, 2002.

Example exams from previous incarnations of the course.

Midterms: 2005, 2004, 2003, 2002.
Finals: 2005, 2004, 2003, 2002.

The Rules of the Game

Original Work

McGill University values academic integrity. Therefore all students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the code of student conduct and disciplinary procedures (see www.mcgill.ca/students/srr/honest/ for more information).

You are encouraged to help each other formulate the ideas behind assignment problems, but each student is required to submit his or her own original work. Handing in work that is not your own, original work as if it is your own is plagiarism. All re-use, collaboration, inspiration must be explicitly mentioned in the assignment.

Language

In accord with McGill University's Charter of Students' Rights, students in this course have the right to submit in English or in French any written work that is to be graded.
This right applies to all written work that is to be graded, from one-word answers to dissertations.

Class Attendance

You are expected to attend class. Information may be made available on the web for your convenience, but is not a substitute for class attendance. Should you miss a class, you are responsible for finding out what material or announcements you may have missed.

Eugene Syriani, Winter Term 2010.