COMP SCI 7094 - Distributed Databases & Data Mining
North Terrace Campus - Trimester 3 - 2020
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General Course Information
Course Details
Course Code COMP SCI 7094 Course Distributed Databases & Data Mining Coordinating Unit Computer Science Term Trimester 3 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 2 hours per week Available for Study Abroad and Exchange Y Assumed Knowledge Knowledge of database systems as taught in COMP SCI 7207 Assessment Written exam and/or assignments Course Staff
Course Coordinator: Dr Wei Zhang
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 completion of this course, students should:
Understand distributed database systems architecture and design
Be able to apply methods and techniques for distributed quey processing and optimisation
Understand the broad concepts of distributed transaction process
Understand the basic concepts of Data warehousing and OLAP technology
Be able to apply methods and techniques for association analysis, data classification and clustering
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) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
1-5 Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
1-5 Teamwork and communication skills
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
2,5 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
1-5 Intercultural and ethical competency
- adept at operating in other cultures
- comfortable with different nationalities and social contexts
- able to determine and contribute to desirable social outcomes
- demonstrated by study abroad or with an understanding of indigenous knowledges
1,3,4 Self-awareness and emotional intelligence
- a capacity for self-reflection and a willingness to engage in self-appraisal
- open to objective and constructive feedback from supervisors and peers
- able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
1-5 -
Learning Resources
Required Resources
Text 1:
M. T. Oszu and P. Valduriez, Principles of Distributed Database Systems, 3rd ed.,
Springer, 2011.â聙¨
Text 2:
J. Han and M. Kamber, Data Mining: Concepts and Techniques, 2nd ed., Morgan Kaufmann, 2013.Recommended Resources
Additional materials posted on the course homepage:
https://cs.adelaide.edu.au/users/honours/dddm/Online Learning
https://cs.adelaide.edu.au/users/honours/dddm/ -
Learning & Teaching Activities
Learning & Teaching Modes
There is no lecture in DDDM Trimester version. Students will be given pre-recorded recordings from DDDM S2 and self-study the lecture contents.
Few hours of consultation sessions per week are provided for answering questions related to the lecture content and assessment.
Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
On average, students are expect to spend around 12 hours a week on this course, including lectures, doing the required readings, working on the programming assignments and term project.Learning Activities Summary
Topics covered in this course include
Distributed database system architecture
Distributed database system design
Distributed query processing and optimization
Distributed transaction management
Data warehousing and OLAP technology
Association analysis
Classification and prediction
Cluster analysis
Assignments will broadly follow the content of these topics
Term project will allow students to choose a topic that is significant both in the current research trends and also to individual interest.Specific Course Requirements
There are no specific requirements for this course beyond prerequisite knowledge, attendence to the lectures, and the ability to work on the group programming assignments and the term project.Small Group Discovery Experience
No SGDE. -
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
Two programming assignment: 30%
· Written term project report: 40%
You will carry a term project for this course and submit a project report that will contribute towards 40% of your final
grade. Half of this will be for the survey part, and the other half for the research part. The term project can be carried out individually, or in a group of two people. It is advisable that you should start your term project as soon as possible, in order to work out a satisfactory project report.
The term project report will be assessed mainly on your understanding of the problem that your project is tackling, insight into its solution and strategies for its solution. Other factors that will be taken into consideration in the assessment include the organization, technical writing of the report, and cohesion of different components in the report.
· Term project presentation: 20%
You are required to make a 15-minute presentation of your term project. In case if your project is done in a group of two people, each group member is required to present the part of the project that contains his/her own work.
The assessment for this item will be given based on the preparation of your presentation materials, delivery of the presentation, and understanding to the technical contents of your work.
· Class performance: 10%
This is the assessment to your understanding to the course contents through class questions, discussion and individual meetings.Assessment Related Requirements
Students are expected to read a wide range of research papers relevant to the chosen topic of term project.Assessment Detail
There are two programming assignment, one for distributed databases component and the other for data
mining component. Each assignment is weighted 15% of the whole course assessment.
There is a term project of weight 60%. The projects consist of picking up a research problem in either
distributed databases or data mining from among the ones listed on the course webpage and working on its solution for the duration of this term. A student may also choose other topics, upon consent by the course convener, that are relevant to the course content and of interest to own research.
The project report should show a good understanding of the problem (resulting in a survey part), insight into its solution and a well-defined strategy for its solution. You should treat the term project as if you were doing the initial background study for further in-depth research. In other words, the report should demonstrate an understanding of and an insight into the problem such that given enough time, you could carry it to its logical conclusion and complete the research.
The term project that you will carry out for this course consists of a project report and a project presentation. The project report will contribute towards 40% of your final grade. Half of this will be for the survey part, and the other half for the research part. The project could be individual, or in a group of two people. For group project submissions, both members of the group will receive the same grade for the project report. Therefore, it is incumbent upon you to make sure that both partners share in the work (and let me know very quickly if the partnership is not working). The project presentation will contribute towards 20% of your final grade. Everyone must make an individual presentation of his own work, even in the case of a group project.
Deliverables:
There deliverables in your report of the term project is a survey that describes the problem domain, with proper problem definition, and a survey of existing work. This should be about 20 typed pages .
Submission
Details of the submission of programming assignments will be written on each assignment handout. Students will be given a minimum of 3 weeks to work on each assignment.
Submissions of the term project will be made in hard copy and must be handed in by the end of the last teaching week.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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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
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