COMP SCI 7205B - Artificial Intelligence and Machine Learning Research Project Part B
North Terrace Campus - Trimester 2 - 2024
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General Course Information
Course Details
Course Code COMP SCI 7205B Course Artificial Intelligence and Machine Learning Research Project Part B Coordinating Unit Computer Science Term Trimester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 12 Contact Meetings as negotiated with supervisors. Available for Study Abroad and Exchange N Prerequisites COMP SCI 7205A Restrictions Available to Master Machine Learning students only. Assessment Research Project, reports, outcomes and presentations. Course Staff
Course Coordinator: Dr Ehsan Abbasnejad
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
Upon completing this course, you will be able to:
1 Identify and evaluate a current, specialised problem in data science within an industry context, involving large-scale data analysis
2 Develop an appropriate, applied research question
3 Scope and design a research project with clear milestones
4 Conceptually map proposed research within the wider literature and industry context
5 Present and report on research data and project progress
6 Appraise and select relevant research methodologies consistent with research principles, best-practice tools, techniques and relevant theories.
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, 2, 3, 4, 5, 6 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, 3, 4, 5, 6 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.
5 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, 3, 4, 5, 6 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.
3, 4, 6 Attribute 7: Digital capabilities
Graduates are well prepared for living, learning and working in a digital society.
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Learning & Teaching Activities
Learning & Teaching Modes
Working with academic supervisor who will provide on-going guidance and feedback.
Using University and online resources for research and assessments
The project work may involve face-to-face or online meetings with the academic supervisors.
Communicating with your peers and the course coordinator, who will post announcements and answer general course questions.Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
This is a 3-unit course and typical workload is 156 hours over the whole trimester. Please note that students work at different paces, so this indicates the approximate time required to complete this course.Learning Activities Summary
Learning activities include:
- Meeting with the supervisor.
- Reading and sumarising scientific and engineering literature
- Preparing and delivering presentations.
- Writing reports.
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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
The assessment for this course is based on the following tasks.
Assessment 1: Project Planner (20%, due every week)
Assessment 2: Progress presentation (10%, due week 8)
Assessment 3: Final presentation (30%, due week 11)
Assessment 4: Final report (40%, due week 12)
The rubrics could be found on MyUni.Assessment Detail
The assessment for this course is based on the following tasks.
Assessment 1: Project Planner (20%, due every week)
Assessment 2: Progress presentation (10%, due week 8)
Assessment 3: Final presentation (30%, due week 11)
Assessment 4: Final report (40%, due week 12)
The rubrics could be found on MyUni.Submission
Submission using myUni assessment page.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.
The 成人大片 is committed to regular reviews of the courses and programs it offers to students. The 成人大片 therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.
