COMPSCI 718 : Programming for Industry

Science

2020 Semester Two (1205) (30 POINTS)

Course Prescription

An examination of object-oriented programming and design. Key principles of object-oriented programming: typing, encapsulation, inheritance, polymorphism and composition. Fundamental object-oriented modelling and design techniques. Students will develop application software of reasonable complexity that draws on object-oriented language features, and contemporary APIs, frameworks and tools.

Course Overview

This intensive hands-on course introduces object-oriented software development, which is the dominant paradigm for developing software in the IT industry. Using the Java programming language, Programming for Industry covers the key principles of object-oriented programming, encapsulation, inheritance, polymorphism and composition, in addition to fundamental modelling and design techniques. Students will develop application software of moderate complexity, and in doing so learn how to apply object-oriented principles and use contemporary application programming interfaces, frameworks and tools. This course prepares you with foundational skills for a career in IT.

This course is restricted to students enrolled in the Postgraduate Certificate in Information Technology and the 240pt Master of Information Technology.

Course Requirements

No pre-requisites or restrictions

Capabilities Developed in this Course

Capability 1: Disciplinary Knowledge and Practice
Capability 2: Critical Thinking
Capability 3: Solution Seeking
Capability 4: Communication and Engagement
Capability 5: Independence and Integrity

Learning Outcomes

By the end of this course, students will be able to:
  1. Examine the state of the program both during and after execution, given a code listing that may include functions and parameters, loops, conditionals and sequences. (Capability 1)
  2. Describe the features typically offered by an object-oriented programming language, including support for classes, visibility, inheritance, interfaces, polymorphism and dynamic binding. (Capability 1)
  3. Explain key principles and best practice associated with object-oriented software development. These include abstraction, information hiding, programming to interfaces, resilience to change, and reuse. (Capability 1)
  4. Employ object-oriented programming knowledge and develop object-oriented software applications. (Capability 3)
  5. Demonstrate a program meets given specifications by writing appropriate tests. (Capability 3)
  6. Use software tools to support software development activities. (Capability 1 and 3)
  7. Evaluate the design of software applications and approaches to solve problems, given the criteria of good software practice. (Capability 2)
  8. Demonstrate effective communication, as exhibited by actively participating in class discussions and group activities. (Capability 4 and 5)
  9. Justify the decisions made to develop object-oriented software applications, as exhibited by successfully demonstrating the thinking process throughout the course. (Capability 2 and 5)

Assessments

Assessment Type Percentage Classification
Coursework 100% Group & Individual Coursework
Assessment Type Learning Outcome Addressed
1 2 3 4 5 6 7 8 9
Coursework

Learning Resources

There is no prescribed textbook. Readings and supplemental materials will be distributed in class as needed. Students are also advised to take advantage of the extensive software resources made available for this course.

Special Requirements

There are no special requirements for this course.

Workload Expectations

This course is a standard 30 point course and students are expected to spend 20 hours per week involved in each 30 point course that they are enrolled in. Students are expected to complete this course in one semester.

You can expect 6 hours of lectures, 4 hours of labs, and at least 10 hours of reading and thinking about the content and work on assignments and/or test preparation. 

This course is not available for part-time study in Semester Two.

Digital Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

Copyright

The content and delivery of content in this course are protected by copyright. Material belonging to others may have been used in this course and copied by and solely for the educational purposes of the University under license.

You may copy the course content for the purposes of private study or research, but you may not upload onto any third party site, make a further copy or sell, alter or further reproduce or distribute any part of the course content to another person.

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed against online source material using computerised detection mechanisms.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website at http://disability.auckland.ac.nz

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page: https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Student Feedback

During the course Class Representatives in each class can take feedback to the staff responsible for the course and staff-student consultative committees.

At the end of the course students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback.

Your feedback helps to improve the course and its delivery for all students.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter (https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html).

Disclaimer

Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course you may be asked to submit your coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.

Published on 07/07/2020 11:50 a.m.