Introduction to Application Development (ISYS90088)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
Contact information
Semester 2
Dr Antonette Mendoza
email: mendozaa@unimelb.edu.au
Overview
Availability | Semester 2 |
---|---|
Fees | Look up fees |
AIMS
This subject introduces students to the fundamental concepts and models of application development so that they can understand the key processes related to building functioning applications and appreciate the complexity of application development. This subject is suitable for students who have no background in application development or programming. This subject emphasises application development and incorporates the software development life cycle, requirements gathering, designing a solution, and implementing and testing a solution. Students will learn about the software development lifecycle, program design, data structures, problem solving, programming logic, implementation considerations, testing, and enterprise level applications.
INDICATIVE CONTENT
- Program development lifecycle & methodologies
- Programming concepts – variables, literals, types, expressions, procedures, functions, parameters, operators and operations, decision logic, looping, sub-procedures, passing parameters, control structures (sequential, conditional, iterative)
- Testing
- Implementation considerations
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILOs)
On completion of this subject the student is expected to:
- Use primitive data types and data structures offered by the development environment
- Understand basic programming concepts
- Write simple applications that relate to a specific domain
- Design, implement, test, and debug a program that uses each of the following fundamental programming constructs: basic computation, simple I/O, standard conditional and iterative structures, and the definition of functions
- Test applications
- Apply core program control structures
Generic skills
On completion of this subject, students should have developed the following generic skills:
- An ability to apply knowledge of basic science and engineering fundamentals
- An ability to undertake problem identification, formulation and solution
- The capacity to solve problems, including the collection and evaluation of information
- The capacity for critical and independent thought and reflection
- An expectation of the need to undertake lifelong learning, and the capacity to do so.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
Students enrolled in any of the following courses are not permitted to take this subject:
- Master of Information Technology
- Master of Science (Computer Science)
- Master of Engineering (Software)
- Master of Engineering (Software with Business)
- Master of Engineering (Electrical)
- Master of Engineering (Electrical with Business)
- Master of Engineering (Spatial)
- Master of Engineering (Mechatronics)
Students who have passed any of the following subjects are not permitted to take this subject:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP10001 | Foundations of Computing |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP10002 | Foundations of Algorithms |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90059 | Introduction to Python Programming | February (On Campus - 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: 3 November 2022
Assessment
Additional details
- Assessment 1, released in week 5, due in week 07, requiring approximately 13 - 15 hours of work. Addressing Intended Learning Outcomes, (ILO) 1-6 (10%)
- Mid Semester Test - 1 hour duration, in approximately Week 8, ILO 1-6 (10%)
- Assessment 2, released in week 10, due in week 12), requiring approximately 25-30 hours, due Week 12, ILO1-6 (20%)
- 1 - 3 hour exam during the end of Semester examination period, ILO 1-6 (60%)
Last updated: 3 November 2022
Dates & times
- Semester 2
Principal coordinator Sean Maynard Mode of delivery On Campus (Parkville) Contact hours 48 hours: consisting of 1 - 2 hour lecture per week and 1 - 2 hour workshop per week. Total time commitment 200 hours Teaching period 24 July 2017 to 22 October 2017 Last self-enrol date 4 August 2017 Census date 31 August 2017 Last date to withdraw without fail 22 September 2017 Assessment period ends 17 November 2017 Semester 2 contact information
Dr Antonette Mendoza
email: mendozaa@unimelb.edu.au
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Science (Bioinformatics) Major MIS Professional Specialisation Major MIS Health Specialisation - 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.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
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
Last updated: 3 November 2022