Programming and Software Development
Subject COMP90041 (2016)
Note: This is an archived Handbook entry from 2016.
Credit Points: | 12.5 | ||||||||||||||||||||||||
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Level: | 9 (Graduate/Postgraduate) | ||||||||||||||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2016: Semester 1, Parkville - Taught on campus.
Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here. | ||||||||||||||||||||||||
Time Commitment: | Contact Hours: 36 hours, comprising of one, 2-hour lecture and one, 1-hour lab per week Total Time Commitment: 200 hours | ||||||||||||||||||||||||
Prerequisites: | None | ||||||||||||||||||||||||
Corequisites: | None | ||||||||||||||||||||||||
Recommended Background Knowledge: | None | ||||||||||||||||||||||||
Non Allowed Subjects: | Subject | ||||||||||||||||||||||||
Core Participation Requirements: |
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry. It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability |
Coordinator
Assoc Prof Rui Zhang, Dr Peter SchachteContact
Semester 1
A/Prof Rui Zhang
email: rui.zhang@unimelb.edu.au
Semester 2
Dr Peter Schachte
email: schachte@unimelb.edu.au
Subject Overview: |
AIMS The aims for this subject is for students to develop an understanding of approaches to solving moderately complex problems with computers, and to be able to demonstrate proficiency in designing and writing programs. The programming language used is Java.
INDICATIVE CONTENT Topics covered will include:
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Learning Outcomes: |
INTENDED LEARNING OUTCOMES (ILO) On completion of this subject the student is expected to:
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Assessment: |
Hurdle requirement: To pass the subject, students must obtain at least:
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Prescribed Texts: | None |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Generic Skills: |
On completion of this subject students should have developed the following skills:
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Notes: |
LEARNING AND TEACHING METHODS The subject comprises a weekly 2 hour lecture followed and a 1 hour laboratory exercise. Weekly readings are assigned from the textbook, and weekly laboratory exercises are assigned. Additionally, a significant amount of project work is assigned.
INDICATIVE KEY LEARNING RESOURCES At the beginning of the year, the coordinator will propose a textbook on Java programming which will be made available through University Book Shop and library. The current suggested textbook is Walter Savitch: Absolute Java. Pearson Education International. 4th Edition (or 5th Edition).
CAREERS / INDUSTRY LINKS The IT industry is a large and steadily growing industry. Programming skills are essential for working in the IT industry, for example in software development companies, website development companies, telecommunication companies and game development companies. Most large companies have an IT department for managing their software or server. Programming skills are also necessary for employees in such IT departments. |
Related Course(s): |
Doctor of Philosophy - Engineering Graduate Diploma in Biostatistics Master of Biostatistics Master of Information Systems Master of Information Technology Master of Philosophy - Engineering Master of Science (Bioinformatics) |
Related Majors/Minors/Specialisations: |
Computer Science Computer Science MIT Computing Specialisation MIT Distributed Computing Specialisation MIT Health Specialisation MIT Spatial Specialisation Master of Engineering (Mechatronics) Master of Engineering (Software with Business) Master of Engineering (Software) |
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