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Introduction to Programming (COMP90059)
Graduate courseworkPoints: 12.5On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Summer Term
Kylie McColl
Semester 1
Wally Smith
Semester 2
Simon D'Alfonso
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability | Summer Term Semester 1 Semester 2 |
---|---|
Fees | Look up fees |
AIMS
This subject introduces the fundamental concepts of computing programming, and how to solve simple problems using high-level procedural language, with a specific emphasis on data manipulation, transformation, and visualisation of data.
INDICATIVE CONTENT
Fundamental programming constructs; fundamental data structures; abstraction; basic program structures; algorithmic problem solving; use of modules.
The subject assumes no prior knowledge of computer programming.
Intended learning outcomes
On completion of this subject the student is expected to:
- Develop programs that can manipulate static, structured large data using the Python programming language
- Identify the kind of data and algorithm most appropriate for solving a given problem
- Employ basic algorithmic problem‐solving techniques
- Use programming to effectively communicate data to non‐technical people
Generic skills
On completion of this subject, students should have developed the following skills:
- Exercise critical judgement; undertake rigorous and independent thinking
- Adopt a problem-solving approach to new and unfamiliar tasks
- Develop high-level written report and/or oral presentation skills
- Develop high-level comprehension of technical literature skills
- Work as part of a team
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
Students enrolled in any of the following courses are not permitted to take this subject:
- Master of Information Technology
- Master of Science (Computer Science)
Students enrolled in any of the following specialisations of the Master of Engineering are not permitted to take this subject:
- Software with Business
- Electrical
- Electrical with Business
- Mechatronics
- Software
- Spatial
Students who have passed any of the following subjects are not permitted to take this subject:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP10001 | Foundations of Computing |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
COMP10002 | Foundations of Algorithms |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
COMP20005 | Engineering Computation |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
ISYS90088 | Introduction to Application Development | No longer available |
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
One programming-based assignment, requiring approximately 25-30 hours of work. Addressing Intended Learning Outcomes ( ILO's) 1, 2, 3 and 4.
| Week 12 | 20% |
Mid semester test. The mid semester test addresses ILO's 1, 2 and 3.
| Week 8 | 10% |
One programming-based assignment, requiring approximately 13- 5 hours of work. Addresses ILO's 1 and 3.
| Week 6 | 10% |
One 3 hour written exam. The exam addresses ILO's 1, 3 and 4.
| End of semester | 60% |
Additional details
Last updated: 3 November 2022
Dates & times
- Summer Term
Coordinator Kylie Mccoll Mode of delivery On Campus (Parkville) Contact hours 48 hours, comprising of three 1-hour lectures, two 2-hour workshops and a 3-hour workshop Total time commitment 170 hours Teaching period 21 January 2020 to 21 February 2020 Last self-enrol date 27 January 2020 Census date 31 January 2020 Last date to withdraw without fail 14 February 2020 Assessment period ends 24 February 2020 Summer Term contact information
Kylie McColl
- Semester 1
Principal coordinator Wally Smith Mode of delivery On Campus (Parkville) Contact hours 48 hours, comprising two 1-hour lectures and one 2-hour workshop per week Total time commitment 170 hours Teaching period 2 March 2020 to 7 June 2020 Last self-enrol date 13 March 2020 Census date 30 April 2020 Last date to withdraw without fail 5 June 2020 Assessment period ends 3 July 2020 Semester 1 contact information
Wally Smith
- Semester 2
Principal coordinator Simon D'Alfonso Mode of delivery On Campus (Parkville) Contact hours 48 hours, comprising two 1-hour lectures and one 2-hour workshop per week Total time commitment 170 hours Teaching period 3 August 2020 to 1 November 2020 Last self-enrol date 14 August 2020 Census date 21 September 2020 Last date to withdraw without fail 16 October 2020 Assessment period ends 27 November 2020 Semester 2 contact information
Simon D'Alfonso
Time commitment details
170 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
Reading list will be circulated at the start of the pre-teaching period.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Science (Bioinformatics) Course Master of Geoscience Course Master of Science (Earth Sciences) Informal specialisation Earth Sciences - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022