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School of Computer Science
Innova21 Building
SA 5005

Telephone: +61 8 8313 5586
Facsimile: +61 8 8313 4366

You are here: Computer Science > Courses > Communication and Study Skills

Communication and Study Skills


An introduction to communication and study skills within the context of Computer Science.

Level: 2
Credit: 3 units

Course Offerings

North Tce, Adelaide
  • 2012 Semester 2
  • 2012 Semester 1
  • 2011 Semester 2
  • 2011 Semester 1
  • 2010 Semester 2
  • 2010 Semester 1
  • 2009 Semester 2
  • 2009 Semester 1
  • Introduction

    This course is designed to provide students with the required communication and study skills for the study of Computer Science, and in their careers as future Computer Scientists.

    The course aims to develop the following skills:

    • Discussion and communication
    • Analysis and research
    • Written presentation
    • Ability to use online technology for study and communication


    Lecture slides, assignment specifications and additional materials will be provided online at the Communication and Study Skills course forum (see above links).

    There is no required textbook for this course.


    Essential information will be provided to students at lectures and tutorials, and online at the course forum. Students should attend all lectures and should regularly check the course forum to ensure that they do not miss any important information.


    There will be 24 hours of weekly lectures during the course, covering the following topics:
    • Course Outline
    • Fundamental Study Skills
    • Technical Writing
    • Performance Analysis
    • Oral Presentations
    • Exam Study Skills
    • Research and Referencing
    • Editing

    This course will involve a lot of practical application, including in lecture exercises, assignments and tutorials. This course is integrated with the course content of Computer Science Concepts and Data Structures and Algorithms, and exercise and assignment work will be based on the content of these courses.

    The contact time for courses varies. For a full-time student, you should expect to spend around 40-48 hours per week on your studies. For this course, you have 2-3 contact hours per week. You should spend another 6-8 hours on study, preparation and assignment work.


    There will be tutorials held approximately every second week, starting in Week 2:
    • Tutorial 1: Oral Presentation 1
    • Tutorial 2: Exam Study Skills
    • Tutorial 3: Performance Analysis and Test Design
    • Tutorial 4: Research Skills
    • Tutorial 5: Oral Presentation 2

    Course Assessment

    Assessment for this course is based on several assignments. There is no examination for this course. The assignment work for this course is in three components:
    • Written Reports, worth 50%
    • Oral presentations, worth 20%
    • Online activities, worth 30%

    You are expected to participate in all activities, attend lectures and submit your assignments on time.


    • Oral #1, Due: Weeks 2 and 3 (tutorials), 5%
    • API Development (online), Due: Monday, Week 7, 12.5%
    • Innovation Report, Due: Friday, Week 8, 25%
    • Oral #2, Due: Week 9 (tutorial and lecture), 20%
    • Performance Analysis Report, Due: Friday, Week 12, 25%
    • Glossary (online), Due: continuous, Week 13, 5%
    • Reflections (online), Due: continuous, Week 13, 7.5%
    Please see the student handbook for more information on assessment rules.

    Submission of Work for Assessment

    All work shall be submitted through the course forum.

    Extensions for Assessment Tasks

    Students may apply for extensions to their written and online assignment work. They must do so by submitting an assignment extension form (available from the course forums) prior to the due date, and must provide evidence of any medical impairment.

    Provision of Feedback to Students

    Students will receive written feedback (online) on all oral, written, and online assignment work. Feedback will be provided within 2 weeks of the assignment submission.

    Course Coordinator Details

    Dr Claudia Szabo, Room 4.17, Innova21 Building
    Ph: 8313 6744

    Graduate Attributes

    The graduate attributes specific to your program are available in the student handbook. The graduate attributes specifically developed by this course are:
    • Have an appreciation of current technologies.
    • Are able, by self directed study, to remain up to date with developments in their careers/professions.
    • Have an appreciation of professional conduct and ethical issues in the IT industry.
    • Are able to communicate effectively, not only with other computer scientists and software engineers, but with the community at large on information technology issues.