• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Course subject Computer Science
  • Areas of interest Business Information Systems, Bioinformatics, Computer Science, Mathematics, Information Technology More...
  • Academic career UGRD
  • Course convener
    • Prof Antony Hosking
  • Mode of delivery In Person
  • Offered in First Semester 2018
    See Future Offerings

This course is a variation on Programming for Problem Solving (COMP1100). It  covers the same topics in more depth, allowing students to deepen their understanding and experience. They will understand the foundations of program semantics, program proof, and implementation of the programming language features that they have learned in the course.

 

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

Upon completion of this course, in addition to the learning outcomes of COMP1100, the student will be able to:

  1. Use functional encapsulation mechanisms such as function closures and modular interfaces, and define and use higher-­order functions operating over over-aggregate values.

  2. Explain how typing rules define legal operations of a type, and write down the type rules for use of compound types.

  3. Use big-­O notation formally to give bounds on time and space complexity of algorithms.

  4. Describe various heuristic problem­-solving methods.

Indicative Assessment

Assignments (30%), Lab Assessment (5%), Mid-Term Exam (10%), Final Exam (55%)

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

Forty hours of lectures, twelve two-hour tutorial/laboratory sessions. At least the same amount of time will be required to work through the material, and prepare assignments and for labs.

Assumed Knowledge

Students are assumed to have achieved a level of knowledge of mathematics comparable to at least ACT Specialist Mathematics Major/Minor or NSW Mathematics Extension 1 or equivalent. No programming, Computer Science or IT experience or skills are required

Areas of Interest

  • Business Information Systems
  • Bioinformatics
  • Computer Science
  • Mathematics
  • Information Technology
  • Software Engineering
  • Advanced Computing
  • Information Systems
  • Information-Intensive Computing
  • Intelligent Systems
  • Software Development
  • Algorithms and Data
  • Artifical Intelligence
  • Computer Systems
  • Computer Engineering
  • Computational Foundations

Majors

Minors

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2018 $4080
International fee paying students
Year Fee
2018 $5400
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
2326 19 Feb 2018 27 Feb 2018 31 Mar 2018 25 May 2018 In Person N/A

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