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CSC3502 Principles of Big Data Management

Semester 2, 2021 Online
Short Description: Principles of Big Data Managt
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Sciences
Student contribution band : Band 2
ASCED code : 029999 - Information Technology not els
Grading basis : Graded
Version produced : 11 April 2021


Examiner: Rajib Rana


Pre-requisite: CSC3400

Other requisites

Requisite: Knowledge of computing consistent with CSC1401 Foundation Programming


Organisations and governments rely on meaningful data for their decision making processes. The growth of data collection has driven advances in managing and processing of large quantities of data. From businesses to government and scientists the amount of data generated has come to a point where it is difficult to find meaningful answers. There has been growth in technology to provide mechanisms to manage, analyse and distil the meaning of data for decision making. This course focuses on the management of big data sets and exposes students to tools to manage them, and applying existing statistical skills in discovering relevant information.


This course is intended for students with background skills in data analysis and systems design, and focuses on the coordination, management and utilization of data using modern computer data base management systems. Developing, analysing and managing data including privacy and ethical concerns is covered in this course. Reliable, scalable, distributed and efficient handling of data of varying sizes is emphasized.


On successful completion of this course students should be able to:

  1. Articulate data modelling, storage, and retrieval methods and apply knowledge and skills to retrieve information from data storage;
  2. Apply knowledge and skills to complete a project to coordinate and manage large data sets;
  3. Analyse critically and interpret the knowledge from large data sets;
  4. Interpret and transmit information and knowledge in the application discipline to specialist and non-specialist audiences;
  5. Analyse critically and reflect on the issues of privacy and ethics of Big Data.


Description Weighting(%)
1. Introduction to Big Data Management 10.00
2. Programming for Big Data 20.00
3. Modern methods of distributed processing of large data sets (such as Hadoop and MapReduce) 25.00
4. Modern distributed database for large tables 25.00
5. Manage, store and retrieve processed data in a variety of common formats 10.00
6. Privacy, ethics and professionalism 10.00

Text and materials required to be purchased or accessed

ALL textbooks and materials available to be purchased can be sourced from USQ's Online Bookshop (unless otherwise stated). (

Please contact us for alternative purchase options from USQ Bookshop. (

Watson, R T 2013-2015, Data Management, Databases and Organizations, 6th edn, eGreens Press, Athens, Georgia.
(Please follow the links on the textbook author's web site This book is also available in print.)
Watson, R T 2016, Data management, databases and organizations, 6th edn, Prospect Press.

Reference materials

Reference materials are materials that, if accessed by students, may improve their knowledge and understanding of the material in the course and enrich their learning experience.
Casteel, J 2016, Oracle 12c: SQL, 3rd edn, Course Technology/Cengage, Boston, Massachusetts.
(ISBN 9781305251038.)
Connolly, T & Begg, C 2014, Database systems, a practical approach to design, implementation and management, 6th Global edn, Pearson Education Limited, Harlow.
Kaabouch N & Hu, W-C 2014, Big Data Management, Technologies, and Applications, IGI Global, Pennsylvania.
Savitch, W 2016, Absolute Java, 6th edn, Addison Wesley, Boston, Massachusetts.

Student workload expectations

Activity Hours
Assessments 58.00
Directed Study 52.00
Private Study 60.00

Assessment details

Description Marks out of Wtg (%) Due Date Objectives Assessed Notes
Assignment 1 100 15 09 Aug 2021 1,2,5
Assignment 2 100 15 08 Oct 2021 3,4
Exam 100 70 End S2 1,3,4,5 (see note 1)

  1. This will be a Closed exam. The total working time for the examination is 2 hours. The examination date will be available via UConnect when the official examination timetable has been released.

Important assessment information

  1. Attendance requirements:
    There are no attendance requirements for this course. However, it is the students responsibility to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of course-related activities and administration.

  2. Requirements for students to complete each assessment item satisfactorily:
    To satisfactorily complete an individual assessment item a student must achieve at least 50% of the marks for that item.

  3. Penalties for late submission of required work:
    Students should refer to the Assessment Procedure (point 4.2.4).

  4. Requirements for student to be awarded a passing grade in the course:
    To be assured of receiving a passing grade a student must obtain at least 50% of the total weighted marks available for the course (i.e. the Primary Hurdle), and have satisfied the Secondary Hurdle (Supervised), i.e. the end of semester examination by achieving at least 40% of the weighted marks available for that assessment item.

    Supplementary assessment may be offered where a student has undertaken all of the required summative assessment items and has passed the Primary Hurdle but failed to satisfy the Secondary Hurdle (Supervised), or has satisfied the Secondary Hurdle (Supervised) but failed to achieve a passing Final Grade by 5% or less of the total weighted Marks.

    To be awarded a passing grade for a supplementary assessment item (if applicable), a student must achieve at least 50% of the available marks for the supplementary assessment item as per the Assessment Procedure (point 4.4.2).

  5. Method used to combine assessment results to attain final grade:
    The final grades for students will be assigned on the basis of the aggregate of the weighted marks obtained for each of the summative items for the course.

  6. Examination information:
    This is Closed examination: Candidates are allowed to bring only writing and drawing instruments into a closed examination.

  7. Examination period when Deferred/Supplementary examinations will be held:
    Any Deferred or Supplementary examinations for this course will be held during the next examination period.

  8. University Student Policies:
    Students should read the USQ policies: Definitions, Assessment and Student Academic Misconduct to avoid actions which might contravene University policies and practices. These policies can be found at

Assessment notes

  1. Students must familiarise themselves with the USQ Assessment Procedures (

  2. Referencing in Assignments must comply with the Harvard (AGPS) referencing system. This system should be used by students to format details of the information sources they have cited in their work. The Harvard (APGS) style to be used is defined by the USQ library’s referencing guide. These policies can be found at

Evaluation and benchmarking

1. In meeting the University’s aims to establish quality learning and teaching for all programs, this course monitors and ensures quality assurance and improvements in at least two ways. This course:
2. conforms to the USQ Policy on Evaluation of Teaching, Courses and Programs to ensure ongoing monitoring and systematic improvement.
3. forms part of the BITC and is benchmarked against the internal USQ accreditation/reaccreditation processes which include (i) stringent standards in the independent accreditation of its academic programs, (ii) close integration between business and academic planning, and (iii) regular and rigorous review.

Other requirements

  1. Computer, e-mail and Internet access:
    Students are required to have access to a personal computer, e-mail capabilities and Internet access to UConnect. Current details of computer requirements can be found at

  2. Students can expect that questions in assessment items in this course may draw upon knowledge and skills that they can reasonably be expected to have acquired before enrolling in this course. This includes knowledge contained in pre-requisite courses and appropriate communication, information literacy, analytical, critical thinking, problem solving or numeracy skills. Students who do not possess such knowledge and skills should not expect the same grades as those students who do possess them.

Date printed 11 April 2021