Informatics 1: Practical Computing

Subject INFO10001 (2010)

Note: This is an archived Handbook entry from 2010.

Credit Points: 12.50
Level: 1 (Undergraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2010:

Semester 1, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable

Semester 2, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable


Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 3 x one hour lectures per week; and 1 x three hour workshop per week
Total Time Commitment: Estimated total time commitment of 120 hours
Prerequisites: None
Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects:
  • 615-145 Concepts of Software Development 1 (prior to 2009)
  • 433-151 Introduction to Programming (Advanced) (prior to 2008)
  • 433-171 Introduction to Programming (prior to 2008).
Core Participation Requirements: It is University policy to take all reasonable steps to minimise the impact of disability upon academic study and reasonable steps will be made to enhance a student’s participation in the University’s programs. Students who feel their disability may impact upon their active and safe participation in a subject are encouraged to discuss this with the relevant subject coordinator and the Disability Liaison Unit.

Coordinator

Mr Ivo Widjaja

Contact

Email: ivow@unimelb.edu.au
Subject Overview: This subject introduces students to computational methods for analysing and visualising structured data. It covers fundamental programming constructs, algorithms and data structures; information visualisation; web-centric computing; and an overview of the field of computing. Workshops and team projects will give students practical experience in solving data-rich problems involving computers, people and the Web. The problems will be drawn from a diverse range of topics, e.g. climate change, finance, social networks, and language analysis.
Objectives:

On completion of this subject students should be able to:

  • develop programs using a high-level language (e.g. Python);
  • manipulate static, structured data;
  • implement solutions by writing programs;
  • evaluate proposed solutions;
  • use web technologies to collaborate with fellow team members;
  • communicate results effectively using web technologies.
Assessment:

A three-stage project (35%) expected to take 36 hours, with stages due at one-third, at two-thirds and at the end of semester. This time commitment includes a peer-assessment component related to the project (5%). About two-thirds of the project is to be done individually and the rest in groups. Additional assessment components are a 1-hour mid-semester test (10%) and a 2-hour written examination in the examination period (50%). Each of the continuous assessment and the final exam components must be passed in order to pass the subject overall.
Prescribed Texts: None
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
Generic Skills: On completion of this subject students should have developed the following generic skills:
  • analyse and solve real-world problems with computers;
  • provide clear and constructive critique of other students' work;
  • discern quality with respect to the goals of the subject;
  • synthesise information and communicate results effectively; and
  • work effectively as a member of a project team.
Notes: This subject is available for science credit to students enrolled in the BSc (both pre-2008 and new degrees), BASc or a combined BSc course.

VCE mathematics is not a prerequisite for this subject.
Related Course(s): Bachelor of Information Systems
Bachelor of Science
Bachelor of Science and Bachelor of Information Systems
Diploma in Informatics

Download PDF version.