COMP SCI 2009MELB - Programming for IT Specialists
Melbourne Campus - Semester 1 - 2023
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General Course Information
Course Details
Course Code COMP SCI 2009MELB Course Programming for IT Specialists Coordinating Unit Computer Science Term Semester 1 Level Undergraduate Location/s Melbourne Campus Units 3 Available for Study Abroad and Exchange Prerequisites COMP SCI 1015 Incompatible COMP SCI 1102, COMP SCI 1202, COMP SCI 2202, COMP SCI 2202B Restrictions Available only to 成人大片 College Melbourne Campus students Course Staff
Course Coordinator: Mr Arie Bennett
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
On successful completion of this course students will be able to: 1 Use Unix-based tools and BASH scripts to carry out system tasks 2 Explain the benefits of object oriented design and understand when it is an appropriate methodology to use 3 Design object oriented solutions for small systems involving multiple objects 4 Implement, test and debug solutions in Python and C++ 5 Manage memory usage in C/C++ programs 6 Explain fundamental computing algorithms 7 Analyse algorithms and identify key algorithmic strategies, and 8 Explain and apply regular expressions for common system tasks University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Attribute 1: Deep discipline knowledge and intellectual breadth
Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.
1-8 Attribute 2: Creative and critical thinking, and problem solving
Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.
2-5 Attribute 3: Teamwork and communication skills
Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.
2,6 Attribute 4: Professionalism and leadership readiness
Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.
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Learning Resources
Required Resources
The only required text for this course is Grokking Algorithms by Aditya Y. Bhargava. All other materials will be provided through the University's Learning Management System, .Recommended Resources
The University provides computers on campus for students but remote students may find it useful to have access to a Linux computing environment, whether directly on their machine, via virtualisation, or using the Windows Subsystem for Linux v2. While there are many excellent online resources, students may also find it useful to consult any of the following books as a reference:
- Bash Guide for Beginners. (By Machtelt Garrels)
- Advanced Bash Scripting Guide. (By Mendel Cooper)
- Tutorial: programming in C, UNIX system calls and subroutines using C. (By A. D. Marshall)
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Learning & Teaching Activities
Learning & Teaching Modes
While the course is available in a 100% remote option for students unable to attend campus, there are face-to-face workshop and practical sessions for students, but all lectures are presented on-line.
Lectures will be delivered as a combination of recorded live streams and pre-recording material.
Workshops will be small-scale activities where students will have the opportunity to work in small groups to complete a set of tasks.
Practicals, and practical examinations, will be an individual activity where students complete tasks to demonstrate their current level of knowledge.Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
The expected course workload is 10 hours per week. This means that students are expected to put in at least 5 hours of work on projects in their own time, on a weekly basis.Learning Activities Summary
The following activities are timetabled for every week in semester.
Lecture: Lectures are made available at 9am on Mondays. This will also be the time when the lecturers will live stream any content.
Note: These lectures are on-line ONLY. If they are live-streamed, they will be recorded. The lecture may also consist of pre-recorded material for you to view at this time. You have the option of participating during the live-streaming session or any time after they are published in MyUni. Please check MyUni once enrolled for details regarding when lectures will be published.
Workshops: Each student will have a two hour workshop, either face-to-face for students in Adelaide, or on-line for remote students. During this time, students will work through allocated problems with the supervision of a demonstration team.
Practical sessions: Each student will have a two hour practical session, either face-to-face for students in Adelaide, or on-line for remote students. Students will have the opportunity to work on assigned practical problems, be marked for previous work, or submit work conducted outside of the session. -
Assessment
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
Assessment Task Task Type Due Weighting Learning Outcome Weekly Quizzes Summative Weekly
5% 1,2,3,6,7,8 Workshop Exercises Summative Weekly 15% 2,3,4,5,6,7 Practical Exercises Summative Weekly 30% 3,4,5 Individual coding assignments Summative Week 13 10% 3,4,5 Practical exams Summative Weeks 6, 12 40% 3,4,5
Assessment Detail
Quizzes: There will be weekly quizzes on the MyUni system. Lecture quizzes are designed to check that you have understood the basics of the week's materials presented in the lecture before you attend your workshop. There are 10 lecture quizzes during the course, with no quiz taking place during weeks 6 and 12.
Workshop Assignments: During your workshop session, you will complete a series of workshop activities. These activities are designed to be practise the material introduced in the lecture.
In the Algorithms & Data Structures block, workshops cover and extend on the theory taught in lectures. These are completed in small groups in the session before each student submits their individual answers on MyUni.
In the Object Orientated Programming block, workshops are an opportunity to practice C++ with some opportunities to discuss theory with your classmates and tutor. While you can discuss with your class mates, all work should be your own. You will submit the required files to Gradescope before you leave your session.
Practical Assignments: Practical exercises are your opportunity to demonstrate your understanding over that week's material. Some questions are purposely designed as a step-up from the workshop material to give you an opportunity to demonstrate mastery over
the material. You must work individually on practicals.
Coding Project: You will have 1 individual coding project to assess your ability to use OOP to design a program from scratch.
Practical Examinations: During weeks 6 and 12, you have your practical exams. These will take place during your regularly scheduled practical session. You must attend these sessions. Failure to do so will earn you a zero.Submission
Students will submit their code to Gradescope where it will be marked by their tutor and/or automatically using an auto-grader depending on the assessment (students are taught how to use this system in the course). Quizzes will be automatically marked in MyUni.
Late Penalties
Failure to submit an assessment item on time or by the agreed extension deadline will result in penalties. For each day or part-day that a programming assignment is late, the maximum mark that can be awarded is reduced by 25%.
Extensions
Any request for an extension of time for the submission of an assessment item should be made well before the due date to the Course Coordinator. Normally, extensions will only be granted for a maximum of two weeks from the original assignment submission date. Extensions will only be granted in cases of genuine extenuating circumstances and evidence, such as a medical certificate, must be provided.Course Grading
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through .
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Student Feedback
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
This course is running for the first time in 2021. There are no previous SELT results to display. -
Student Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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Fraud Awareness
Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.
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