Note: This is an archived Handbook entry from 2014.
|Dates & Locations:|| |
This subject is not offered in 2014.
|Time Commitment:||Contact Hours: 60 hours, comprised of three 1-hour lectures and one 2-hour workshop per week |
Total Time Commitment:
|Recommended Background Knowledge:|| |
|Non Allowed Subjects:|| |
INFO10001 Informatics-1:Practical Computing (prior to 2011)
615-145 Concepts of Software Development 1
433-151 Introduction to Programming (Advanced)
433-171 Introduction to Programming
600-151 Informatics-1: Practical Computing
|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
Semester 1: Associate Professor Tim Baldwin
Semester 2: Dr Bernard Pope
Solving problems in areas such as business, biology, physics, chemistry, engineering, humanities, and social sciences often requires manipulating, analysing, and visualising data through computer programming. This subject teaches students with little or no background in computer programming how to design and write small programs using a high-level procedural programming language, and to solve simple problems using these skills.
This subject is the first subject in the Computing & Software Systems and the Informatics majors, and introduces students to programming and the basics of algorithmic thinking.
Fundamental programming constructs; fundamental data structures; abstraction; basic program structures; algorithmic problem solving, testing and debugging; introduction to the Web, multimedia and visualisation.
Examples of projects that students complete are:
INTENDED LEARNING OUTCOMES (ILO)
Hurdle requirement: To pass the subject, students must obtain at least:
Intended Learning Outcomes (ILOs) 1-6 are addressed in the projects, the mid-semester test, and the workshop assignment and the final exam.
|Prescribed Texts:|| |
|Breadth Options:|| |
This subject potentially can be taken as a breadth subject component for the following courses:
You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
On completion of this subject, students should have developed the following generic skills:
LEARNING AND TEACHING METHODS
The subject is delivered through a combination of lectures and workshops (combination of tutorial and individual/group work in a computer lab). Students get a hands-on introduction to Python through a series of online worksheets with embedded programming tasks/automatic assessment, and then go on to complete three projects.
INDICATIVE KEY LEARNING RESOURCES
Students have access to lecture notes, lecture slides, tutorial worksheets, and to the IVLE system which houses the interactive worksheets as well as a programming environment. The subject LMS site also contains links to recommended resources relating to basic programming, and advanced problems for students who want to extend themselves.
CAREERS / INDUSTRY LINKS
As an introductory programming subject, this is relevant to all aspects of the IT industry. Exemplar companies/organisations which have been involved in the delivery of the subject (through guest lectures etc.) are: Palantir Technologies (software engineering, intelligent systems), AURIN (Australian Urban Research Infrastructure Network: geomatics, distributed computing, web development), VLSCI (Victorian Life Sciences Computing Initiative; computational biology, bioinformatics, distributed computing, big data). There have also been guest lecturers from within the university in fields including computational ophthalmology, electronic voting, and social media analysis.
Bachelor of Biomedicine |
Diploma in Informatics
Science credit subjects* for pre-2008 BSc, BASc and combined degree science courses |
Science-credited subjects - new generation B-SCI and B-ENG.
Selective subjects for B-BMED
|Related Breadth Track(s):||
Working with Information |
Information Technology in Organisations
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