COMP SCI 4094 - Distributed Databases and Data Mining
North Terrace Campus - Semester 1 - 2016
The course information on this page is being finalised for 2016. Please check again before classes commence.
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General Course Information
Course Details
Course Code COMP SCI 4094 Course Distributed Databases and Data Mining Coordinating Unit Computer Science Term Semester 1 Level Undergraduate 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 2002 Assessment exam and/or assignments Course Staff
Course Coordinator: Adjunct Professor Hong Shen
Lecturer: externalCourse Timetable
The full timetable of all activities for this course can be accessed from Course Planner.
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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
No information currently available.
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Learning Resources
Required Resources
Text 1:
M. T. Oszu and P. Valduriez, Principles of Distributed Database Systems, 2nd ed.,
Prentice-Hall, 1999. Errata
Text 2:
J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2000. Errata
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
No information currently available.
Workload
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Learning Activities Summary
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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
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Assessment Detail
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Submission
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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 Access Adelaide.
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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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