1.CSE3322

Handbook entry

1.1. Prerequisite knowledge

  1. Advanced C programming including recursion
  2. Elementary data structures including lists and binary trees
  3. Familiarity with an object-oriented programming language
  4. Deterministic and non-determinstic finite state automata
  5. Context-free grammars

Completion of CSE2303 or CSC2030, CSE2304 or CSC2040, and CSE2305 or CSC2050 or equivalent subjects.

1.2. Relationship to following subjects

Not available

.

1.3.Prescribed texts and software

There are no prescribed texts. Students will need to use SML/NJ.

1.4. Recommended references

You can download SML from the SML/NJ website

1.5. Computing and Laboratory Requirements for the Subject

Students need access to a laboratory running SML/NJ.

1.4. Subject structure and organisation

We will

Lectures will cover the following:

In addition there will be two revision lectures.

1.6.1. Subject structure by Lecture

To be completed.

1.6.1. Subject structure by Topic

To be completed.

1.7. Study materials

We provide:

Lecture notes are also available: And answers to selected homework questions (later)

1.8. Assessment

The assignments (30% weighting) and a three hour examination (70% weighting) will be used to assess whether you have achieved the objectives of this subject.

Assignment 1, Value 5%, Due Thursday 8th August, Basic ML Programming

Assignment 2, Value 10%, Due Thursday 5th September, Advanced ML Programming

Assignment 3, Value 10%, Due Thursday 26th September.

Assignment 4, Value 5%, Due Thursday 24th October.

Assignments should be received on or before the due date. Late submissions will be penalised at the rate of 5% per day penalty rate. They will not be accepted more than one week after the due date. If you believe that your assignment will be delayed because of circumstances beyond your control such as illness you should apply for an extension before the due date. Medical certificates or certification supporting your application may be required.

It is perhaps necessary to point out what should be obvious, namely that the examination will test to see whether you have met the objectives listed at the start of each of the Study Guides.

1.9. Plagiarism

It is important that your solutions to the assignment questions be your own work. It is perfectly acceptable to seek help and advice when completing the assignments, but this must not be taken to the point where what is submitted is in part someone else's work.

Please note that, since the assignments are used in assessing your final grade in this subject, the following Faculty policy applies.

"Students should note that cheating is regarded as a very serious offence which is likely to lead not only to failure in the subject concerned but also to additional penalties including exclusion. Students should carefully note that the taking of any unauthorised material into examinations such as notes and unauthorised dictionaries will be regarded as cheating. Students should also note that essays, assignments and other work are generally understood to be the student's own work and where such work is identical with, or similar to, another student's work, an assumption of cheating may arise. Where students wish to undertake work in conjunction with other students, it is suggested that the matter be discussed with the lecturer concerned." Faculty of Computing and Information Technology Handbook

1.10. Communication

Your lecturers for this subject are: Kim Marriott and Bernd Meyer

If direct communication with your lecturer is needed you may contact Kim Marriott at:

Email: Kim.Marriott@infotech.monash.edu.au
Phone: (03) 9905 5525
Fax: (03) 9905 5146
Room 119 Building 26, Clayton Campus

And Bernd Meyer at:

Email: Bernd.Meyer@infotech.monash.edu.au
Phone: (03) 9905 2240
Fax: (03) 9905 5146
Room 115 Building 26, Clayton Campus

Consultation times for this subject are 2-4pm Tuesday. The lecturer will probably not be available at other times unless an appointment has been previously arranged by email or telephone.

For help with the programming aspects of this subject, students are advised to attend the non-compulsory practice classes held 1-2pm Fridays in Room 137 Building 63.

All email communication to you from your subject adviser assumes your student email address is read regularly. Please arrange for your email to be forwarded to your main address if this is not the case.

1.11. Assignment Preparation Guide

1.11.1. Assessment assignment 1: <Basic ML Programming>

Total marks: 5

Assessment value : 5%

Due date: 5pm August 8th

Please get your assignment marked in the optional practice class or if this is not possible, use /cs/cc/bin/submit to electronically submit your assignment.

Assignment 1 Handout

1.11.2. Assessment assignment 2: <Advanced ML Programming>

Total marks: 10

Assessment value : 10%

Due date: 5pm September 5th

Please use /cs/cc/bin/submit to electronically submit your assignment.

Assignment 2 Handout

Copyright 1999 Monash University - All Rights Reserved - Disclaimer
First published: 17/7/01
, Last Updated: 15/7/02 by Kim Marriott
Maintained by marriott@mail.csse.monash.edu.au