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.

After completing COMP1917, you should be able to:

• Design solutions for simple problems.
• Design solutions for larger problems using abstraction and interfaces.
• Distinguish between well-written programs and poorly written programs.
• Write programs using good programming style.
• Test and debug programs.
• Work in a team to develop software.
• Understand the low level operation of a modern computer, memory, and the processor.

Course Coverage

• Topic list

• Coding Style Guide

Student Resources

• past lectures on YouTube

• Standard Course Outline

• Standard Teaching Schedule

• Sample Exam

• Which Computing Course Should I Take?

• What paths are possible through the Computing Courses?

Staff Resources

• Notes on syllabus

  Postmortems and suggestions

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#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

• Course Outline

• Assumed Knowledge

• Topic list

• Java Style Guide

• C Style Guide

Student Resources

• lectures on YouTube

• Standard Teaching Schedule

• Final Exams: specimen exam 2007s1 final exam

Staff Resources

• Notes on syllabus

  Postmortems and suggestions

  10s1

  09s2

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