COMP SCI 7007 - Specialised Programming
North Terrace Campus - Semester 2 - 2024
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General Course Information
Course Details
Course Code COMP SCI 7007 Course Specialised Programming Coordinating Unit Computer Science Term Semester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 5 hours per week Available for Study Abroad and Exchange Y Assessment Practical exam and/or assignments Course Staff
Course Coordinator: Dr Cruz Izu
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 Work effectively in problem-solving teams 2 Develop simple models to solve a variety of real life problems 3 Apply deliberate practice strategies when learning new skills 4 Being proficient of coding and testing simple problems
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.
2 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.
1,2,4 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.
1 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.
1,2,4 Attribute 5: Intercultural and ethical competency
Graduates are responsible and effective global citizens whose personal values and practices are consistent with their roles as responsible members of society.
1 Attribute 7: Digital capabilities
Graduates are well prepared for living, learning and working in a digital society.
2,3,4 Attribute 8: Self-awareness and emotional intelligence
Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.
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Learning Resources
Required Resources
All required resources for this course will be provided online via the MyUni platform.
Recommended Resources
There are no recommended resources for this course.Online Learning
The course uses online discussion boards to provide help and feedback outside the lecture and practical session. -
Learning & Teaching Activities
Learning & Teaching Modes
This course aims to improve your programming skills through the introduction and practical applications of a range of programming techniques and the use of deliberate practice.
Each week the lecture will introduce a problem solving technique and a set of related problems. During lab sessions students will solve one problem is small groups, then work individually to complete 2 to 3 problems (including the group one) per week.
Our objective is to broaden and deepen your skills and experience in programming, increasing code fluency and problem solving.Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Students should work an average of 10-12 hours per week on this course. They will practical sessions and some lecture time to design solutions to their problems, and they will need to complete coding and testing outside the class.Learning Activities Summary
Lectures
Weeks 1-5 foundational computational problem solving including topics in working with groups, string manipulation in java, simulation, brute-force algorithms, recursion and search, simple algorithmic optimisation, sorting-based problems.
Weeks 6-12 intermediate computational problem solving including, dynamic programming, greedy algorithms and mapping problems to graph algorithms.
In addition, the second hour of each lecture session will be devoted to group practice and problem solving and presentation of practice portfolios for marking.
Practice Sessions
Participation in practice sessions is assessed by handed up written work and/or solution presentation. All students are expected to attend practice sessions.Specific Course Requirements
Students will also be expected to maintain a portfolio of evidence of their practice (recorded both online and/or on paper) that includes the code and a summary of reflections for each 2-week block of practice. -
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 Weighting (%) Individual/ Group Formative/ Summative Due (week)* Learning outcomes CBOK Alignment** Weekly Practice 25 Individual Formative Weeks 2-12 3 1.1 1.2 4.1 Course participation 10 Individual Formative Weeks 2-11 1, 2,4 1.1 1.2 4.1 Practical Exam1 15 Individual Summative Week 5 2, 4 1.1 1.2 4.1 Practical Exam2 15 Individual Summative Week 8 2, 4 1.1 1.2 4.1 Practical Exam3 15 Individual Summative Week 10 2, 4 1.1 1.2 4.1 Final PracExam 20 Individual Summative Week 12/13 2, 4 1.1 1.2 4.1 Total 100
* The specific due date for each assessment task will be available on MyUni.
This assessment breakdown complies with the University's Assessment for Coursework Programs Policy.
This course has a hurdle requirement. Meeting the specified hurdle criteria is a requirement for passing the course.
**CBOK is the Core Body of Knowledge for ICT Professionals defined by the Australian Computer Society. The alignment in the table above corresponds with the following CBOK Areas:
1. Problem Solving1.1 Abstraction1.2 Design
2. Professional Knowledge2.1 Ethics2.2 Professional expectations2.3 Teamwork concepts & issues2.4 Interpersonal communications2.5 Societal issues2.6 Understanding of ICT profession
3. Technology resources3.1 Hardware & Software3.2 Data & information3.3 Networking
4. Technology Building4.1 Programming4.2 Human factors4.3 Systems development4.4 Systems acquisition
5. ICT Management5.1 IT governance & organisational5.2 IT project management5.3 Service management5.4 Security managementAssessment Related Requirements
The course has two hurdles:- You are required to score a minimum of 40% in your Deliberate Practice component.
- You are required to score a minimum of 40% in the last practical exam.
Assessment Detail
Weekly practice is arranged in 5 x 2-week blocks of practice. To get full marks you need to solve a total of 25 problems in the semester and to document your practice with a fortnight reflection summary.
Each practical exam will have four problems that covered the solving skills presented during lectures and practical session. To get full marks you need to complete two or three of those problems.
Submission
Submission of answers to practice and prac exam questions will be via Gradescope. You will receive clear and timely notice of all submission details in advance of the submission date.
Evidence of practice can be collated in your logbook and also summarised in the reflection summaries. Code solution will be subjected to similarity testing through Gradescope or other mechanisms.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.
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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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