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Declarative Programming (COMP90048)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
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To learn more, visit COVID-19 course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Peter Schachte
Overview
Availability | Semester 1 - Dual-Delivery |
---|---|
Fees | Look up fees |
AIMS
Declarative programming languages provide elegant and powerful programming paradigms which every programmer should know. This subject presents declarative programming languages and techniques.
INDICATIVE CONTENT
- The dangers of destructive update
- Functional programming
- Recursion
- Strong type systems
- Parametric polymorphism
- Algebraic types
- Type classes
- Defensive programming practice
- Higher order programming
- Currying and partial application
- Lazy evaluation
- Monads
- Logic programming
- Unification and resolution
- Nondeterminism, search, and backtracking
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILOs)
On completion of this subject the student is expected to:
- Apply declarative programming techniques
- Write medium size programs in a declarative language
- Write programs in which different components use different languages
- Select appropriate languages for each component task in a project
Generic skills
On completion of this subject, the student should have the following skills:
- Ability to utilise systematic thinking in problem solving
- Intellectual curiosity and creativity, including understanding of the philosophical and methodological bases of research activity
- Openness to new ideas and unconventional critiques of received wisdom
- Capacity for independent critical thought, rational inquiry and self-directed learning
Last updated: 12 November 2022
Eligibility and requirements
Prerequisites
Students must meet one of the following prerequisite options:
Option 1
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP20003 | Algorithms and Data Structures | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
COMP20007 | Design of Algorithms | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90038 | Algorithms and Complexity |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
Option 2
Admission into one of the following:
- MC-SOFTENG Master of Software Engineering
- MC-ENG Master of Engineering
- MC-SCICMP Master of Science (Computer Science)
- MC-CS Master of Computer Science
- GC-CS Graduate Certificate in Computer Science
Option 3
Admission into one of the following: 100pt Program course entry point in the MC-IT Master of Information Technology, 150pt Program course entry point in the MC-IT Master of Information Technology
AND
Selection of one of the following:
- Computing specialisation (formal) in the MC-IT Master of Information Technology
- Distributed Computing specialisation (formal) in the MC-IT Master of Information Technology
- Artificial Intelligence specialisation (formal) in the MC-IT Master of Information Technology
Corequisites
None
Non-allowed subjects
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP30020 | Declarative Programming | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
Recommended background knowledge
Code | Name | Teaching period | Credit Points |
---|---|---|---|
SWEN20003 | Object Oriented Software Development |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
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: 12 November 2022
Assessment
Description | Timing | Percentage |
---|---|---|
Two small programming assignments, requiring approximately 5-8 hours each; Due Weeks 2 and 8 (5% each). Addressing Intended Learning Outcomes (ILOs') 1 and 2.
| From Week 2 to Week 8 | 10% |
Two assignments, requiring approximately 10-15 hours each; Due Weeks 4 and 9 (15% each). Addressing Intended Learning Outcomes (ILOs') 1-4.
| From Week 4 to Week 9 | 30% |
One written, closed-book examination. Intended Learning Outcomes (ILO) 1.
| End of semester | 60% |
Additional details
Hurdle Requirement: to pass the subject, students must obtain at least:
- 50% overall
- 20/40 in programming projects and assignments
- 30/60 in the end-of semester written examination
Last updated: 12 November 2022
Dates & times
- Semester 1
Principal coordinator Peter Schachte Mode of delivery Dual-Delivery (Parkville) Contact hours 36 hours, comprising of two 1 hour lectures and one 1 hour workshop per week Total time commitment 200 hours Teaching period 28 February 2022 to 29 May 2022 Last self-enrol date 11 March 2022 Census date 31 March 2022 Last date to withdraw without fail 6 May 2022 Assessment period ends 24 June 2022 Semester 1 contact information
Peter Schachte
Time commitment details
200 hours
Last updated: 12 November 2022
Further information
- Texts
Prescribed texts
None
- Subject notes
LEARNING AND TEACHING METHODS
This subject comprises 24 one-hour lectures plus 11 one-hour workshops combining group discussion and individual and small group programming work. Additionally, students develop two medium-size declarative programs for assessment.
INDICATIVE KEY LEARNING RESOURCES
At the beginning of the semester, the coordinator will propose a textbook on declarative programming, which will be made available through University Book Shop and library. The current suggested textbook is Bryan O'Sullivan, John Goerzen & Don Stewart: Real World Haskell, O’Reilly Media. This textbook can also be read online gratis. Lecture notes for the subject are also available online.
CAREERS / INDUSTRY LINKS
Over the last few years, the mainstream software industry has become quite interest in functional programming, as it promises more robust software by altogether avoiding many classes of problem common in non-declarative languages. Skills developed in this subject complement skills taught in other subjects, better equipping students for work in software design and implementation.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Data Science Course Ph.D.- Engineering Course Doctor of Philosophy - Engineering Course Master of Science (Computer Science) Course Master of Philosophy - Engineering Specialisation (formal) Computing Specialisation (formal) Distributed Computing Specialisation (formal) Software with Business Specialisation (formal) Software Major Computer Science - 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: 12 November 2022