cse1pe programming environment
PROGRAMMING ENVIRONMENT
CSE1PE
2015
Credit points: 15
Subject outline
In this subject students are introduced to the environments, tools, techniques and trains of thought needed to analyse simple data processing problems and develop effective and efficient software solutions.
SchoolSchool Engineering&Mathematical Sciences
Credit points15
Subject Co-ordinatorBen Soh
Available to Study Abroad StudentsYes
Subject year levelYear Level 1 - UG
Exchange StudentsYes
Subject particulars
Subject rules
PrerequisitesN/A
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjects INT1PE
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | FSTE First Year Survival Guide (second edition) | Recommended | Faculty of Science, Technology and Engineering | LA TROBE UNIVERSITY 2012 |
| Readings | Simple Program Design | Recommended | Robertson, L | 5TH ED. THOMAS NELSON AUST. |
Graduate capabilities & intended learning outcomes
01. Analyse a simple data processing problem to correctly identify the data and high-level processing involved.
- Activities:
- Assignments 1 and 2, Exam question. Analyse a simple data processing problem, design and test a logical solution (pseudocode), convert the solution to a computer program, test and document the program.
- Related graduate capabilities and elements:
- Inquiry/ Research(Inquiry/ Research)
- Creative Problem-solving(Creative Problem-solving)
02. Apply the 3 basic programming constructs of sequence, selection and iteration to develop pseudocode that solves simple data processing problems.
- Activities:
- Assignments 1 and 2, Exam question. Analyse a simple data processing problem, design and test a logical solution (pseudocode), convert the solution to a computer program, test and document the program.
- Related graduate capabilities and elements:
- Discipline-specific GCs(Discipline-specific GCs)
03. Use appropriate programming tools to develop an effective computer program from pseudocode.
- Activities:
- Assignments 1 and 2 Convert a logical solution to a simple data processing problem into a computer program.
- Related graduate capabilities and elements:
- Creative Problem-solving(Creative Problem-solving)
- Discipline-specific GCs(Discipline-specific GCs)
04. Specify and execute test plans for pseudocode and programming code.
- Activities:
- Assignments 1 and 2, Exam question. Test pseudocode and programming code to determine efficiency and effectiveness.
- Related graduate capabilities and elements:
- Inquiry/ Research(Inquiry/ Research)
- Discipline-specific GCs(Discipline-specific GCs)
05. Develop external documentation for the process of converting a simple data processing problem into a computer program.
- Activities:
- Assignments 1 and 2 Develop grammatically correct and correctly-spelt external documentation for the process of producing a product (a computer program) that solves a simple data processing problem.
- Related graduate capabilities and elements:
- Writing(Writing)
- Discipline-specific GCs(Discipline-specific GCs)
06. Internally document a computer program with appropriate comments.
- Activities:
- Assignments 1 and 2, Exam question. Add gramatically correct and correctly-spelt internal comments to a simple computer program.
- Related graduate capabilities and elements:
- Writing(Writing)
- Discipline-specific GCs(Discipline-specific GCs)
07. Effectively use standard Unix commands for file management, account management and program compilation.
- Activities:
- Exam question Given an example of a Unix file hierarchy provide the appropriate commands to manage files and directories and compile computer programs.
- Related graduate capabilities and elements:
- Discipline-specific GCs(Discipline-specific GCs)
Subject options
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Bendigo, 2015, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorTim Whitfort
Class requirements
LectureWeek: 10 - 22
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
TutorialWeek: 10 - 22
Two 1.0 hours tutorial per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| one 2.5-hour examination | Hurdle requirement: In order to pass the unit, students must obtain an overall pass grade, pass the examination and pass the overall non-examination components. | 60 | 01, 02, 03, 04, 06, 07 |
| programming assignment Part A | 15 | 01, 02, 03, 04, 05, 06 | |
| programming assignment Part B | 15 | 01, 02, 03, 04, 05, 06 | |
| tutorial work | 10 | 01, 02, 03, 07 |
Melbourne, 2015, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorGeoffrey Holt
Class requirements
Laboratory ClassWeek: 10 - 22
One 2.0 hours laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
LectureWeek: 10 - 22
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
TutorialWeek: 10 - 22
One 1.0 hours tutorial per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| one 2.5-hour examination | Hurdle requirement: In order to pass the unit, students must obtain an overall pass grade, pass the examination and pass the overall non-examination components. | 60 | 01, 02, 03, 04, 06, 07 |
| programming assignment Part A | 15 | 01, 02, 03, 04, 05, 06 | |
| programming assignment Part B | 15 | 01, 02, 03, 04, 05, 06 | |
| tutorial work | 10 | 01, 02, 03, 07 |