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| #acl All:read = COMP2911: Design in Computing = ||<#cccccc>~+ Course Material +~ ||<#ccccff> ~+ ''' [[https://wiki.cse.unsw.edu.au/cs2911cgi/10s1|2010 s1]] +~<<BR>>''current session''||<#cccccc> ~- [[http://www.cse.unsw.edu.au/~cs2911/09s2/|2009 s2]] -~ ||<#cccccc> ~-[[http://www.cse.unsw.edu.au/~cs2911/09s1|2009 s1]]-~ ||<#cccccc> ~- [[http://wiki.cse.unsw.edu.au/cs2911cgi/08s2|2008 s2]] -~ ||<#cccccc> ~-[[http://www.cse.unsw.edu.au/~cs2911/08s1|2008 s1]]-~ ||<#cccccc> ~- [[http://wiki.cse.unsw.edu.au/cs2911cgi/07s2|2007 s2]] -~ ||<#cccccc> ~-[[http://www.cse.unsw.edu.au/~cs2911/07s1|2007 s1]]-~ || === Overview === After completing COMP2911 you should: * Understand the engineering design process * Have an appreciation of the role of design in computing * Work effectively in teams to design and implement solutions to large problems * Select and/or design the appropriate algorithms/data structures/class hierarchies when developing software to solve non-trivial new and unfamiliar problems === Specific Skills === * Understand the fundamentals of Object Oriented (OO) programming. * Design OO solutions for larger problems using abstraction and interfaces. * Be able to appropriately reuse code using inheritance. * Understand the issues involved in designing classes in an OO system. * Distinguish between well-designed OO programs and poorly designed OO programs. * Be aware of and make appropriate use of the most common design patterns in your class designs. * Understand the most common algorithm design methodologies, and their strengths and weaknesses * Appreciate when to select existing algorithms and when to design new ones. * Be able to design reasonable algorithms to solve a range of problems. * Be able to successfully develop large projects in teams using agile methods. * Engage in effective pair programming. * Follow a style guide and engage in effective code review. * Understand and effectively use: program by contract, test driven development, and refactoring. * Use an IDE. * Program in Java. === About the Course === * [[/SubjectInformation|Course Outline]] * [[/AssumedKnowledge|Assumed Knowledge]] * [[CoreCourses/Syllabus| Topic list]] * [[JavaStyleGuide|Java Style Guide]] * [[CoreCourses/StyleGuide|C Style Guide]] === Student Resources === * [[http://www.youtube.com/user/unswelearning#g/c/0F5ACFC767C1C4D9|lectures on YouTube]] * [[/Schedule|Standard Teaching Schedule]] * Final Exams: [[attachment:Exam-Sample-2911.pdf|specimen exam]] [[attachment:Exam2007s1-2911.pdf|2007s1 final exam]] == Staff Resources == * [[/TeacherNotes|Notes on syllabus]] ||Postmortems and suggestions||~- [[/Postmortem/10s1|10s1]] -~||~- [[/Postmortem/09s2|09s2]] -~||~- [[/Postmortem/09s1|09s1]] -~||~- [[/Postmortem/08s2|08s2]] -~||~- [[/Postmortem/08s1|08s1]] -~|| ---- ~- CategoryCourseHomePage | <<Hits>> page views -~ |
COMP1917: Computing 1
Overview
Introduction to programming and computer science. Introduction to C, problem solving, debugging, programming style, unit testing, teamwork. Recursion, security, memory, pointers, and dynamic data structures.
Course Coverage
Student Resources
Staff Resources
#acl All:read
COMP2911: Design in Computing
Overview
After completing COMP2911 you should:
- Understand the engineering design process
- Have an appreciation of the role of design in computing
- Work effectively in teams to design and implement solutions to large problems
- Select and/or design the appropriate algorithms/data structures/class hierarchies when developing software to solve non-trivial new and unfamiliar problems
Specific Skills
- Understand the fundamentals of Object Oriented (OO) programming.
- Design OO solutions for larger problems using abstraction and interfaces.
- Be able to appropriately reuse code using inheritance.
- Understand the issues involved in designing classes in an OO system.
- Distinguish between well-designed OO programs and poorly designed OO programs.
- Be aware of and make appropriate use of the most common design patterns in your class designs.
- Understand the most common algorithm design methodologies, and their strengths and weaknesses
- Appreciate when to select existing algorithms and when to design new ones.
- Be able to design reasonable algorithms to solve a range of problems.
- Be able to successfully develop large projects in teams using agile methods.
- Engage in effective pair programming.
- Follow a style guide and engage in effective code review.
- Understand and effectively use: program by contract, test driven development, and refactoring.
- Use an IDE.
- Program in Java.
About the Course
Student Resources
Staff Resources
CategoryCourseHomePage | 266673 page views