ITECH7407 REAL TIME ANALYTICS
ITECH7407 REAL TIME ANALYTICS

Semester 2019/17 TEAM ASSIGNMENTS
- TASKS, DUE DATES AND WEIGHTINGS
Assessment Attribute | Task 2: Research Report Presentation (Team) | Task 3: Research Report (Team) |
Due Date | Week 8 (During tutorials/lab) | 15 Sept 2019, 5pm |
Learning outcomes assessed | K4, K5, S1, A1, A2, V1, V2 | K1, K2, K3, K4, S1, A1, A2, V1, V2 |
Weighting | 10% | 15% |
Details of the intended learning outcomes assessed can be found in the course description.
B. INSTRUCTIONS
Under the leadership of the lecturer or/and tutor, students are expected to work on this two-part project or assignment (i.e. Task 2 and Task 3) in teams of 3 to 5 members. Each team shall choose one of the topics listed in Section C of this document. Both the team presentation and the team research report shall be based on the same topic. The following are the deliverables in this project:
- Each team is expected to choose one of the topics listed
in the next
section, research thoroughly on it and write a research report
of about 3000 words.
- Each report should reference a minimum of 15 peer-reviewed journal articles and conference papers.
- The report should be well researched and written in accordance with APA referencing style.
- Each team should clearly discuss different aspects of the chosen topic and how these aspects collectively enhance the theoretical and practical knowledge.
- Final deliverable consists of a presentation and a research report following the schedule above.
- Presentation of your findings in this project would be of about 20-minute
duration.
- Declaration of contributions: Each student must speak during the presentation part of the assignment. Also, each team must clearly state on the second page of the submission (after the cover page) the contributions of each team member in the project in a tabular form according to the format:
Student ID | Student Name | Contrib utions to Project |
Lecturers/tutors reserve the right to reduce a student’s mark if their contribution to
their team project is deemed insubstantial.
- You are reminded
to read the “Plagiarism” section
of the course
description. Your submission should be a synthesis of ideas from
a variety of sources
expressed in your own words.
- All reports must use the APA referencing style. Federation University has published a style guide to help students correctly reference and cite information they use in assignments (American Psychological Association or APA) citation style, which can be found at http://www.ballarat.edu.au/aasp/student/learning_support/generalguide/ print/ch06s04.shtmlor Australian citation style.
- Both power point slides for the team presentation and the team report must be submitted on Moodle by the respective due dates. Reports should use Arial Font with size 12pt and double spaced. Your report should include a list of references used in the essay and a bibliography of the wider reading you have done to familiarize yourself on the topic.
- A passing grade will be awarded to assignments adequately addressing all assessment criteria. Higher grades require better quality and more effort. For example, a minimum is set on the wider reading required. A student reading vastly more than this minimum will be better prepared to discuss the issues in depth and consequently their report is likely to be of a higher quality. So before submitting, please read through the assessment criteria very carefully.
C. ASSIGNMENTS TOPICS
Each team is expected to choose ONLY one of the following topics for both parts of the assignment:
- A relevant industry application of real-time analytics
- Challenges and potential solutions in real-time big data analytics
- Real-time Big Data privacy
- Real-time Big data governance
- Strategic issues stemming from business intelligence, business analytics and big data
- Change management issues stemming from business intelligence, business analytics and big data
D. REFERENCES AND RELATED WORK
Each team is expected to source and cite appropriately at least 15 journal and conference papers related to their chosen topic. Below are some references which can be of help:
- Tseng, F-H., Hsueh, J.-H., Tseng, C.-W., Yang, Y.-T., Chao, H.-C., & Chou, L.-
D. (2018). Congestion Prediction With Big Data for Real-Time Highway Traffic. IEEE Access, 2018(6), 57311 – 57323.
- Ranjitha, P. (2015). Streaming Analytics over Real-Time Big Data. Global Journal of
Computer Science and Technology: Software & Data Engineering, 15(5), 26-30.
- He, Y., Yu, F.R, Zhao, N., Yin, H., Yao, H., & Qiu, R.C. (2016). Data Analytics in Mobile Cellular Networks. IEEE Access, 2016(4), 1985–1996.
- Constantiou, I. D., & Kallinikos, J. (2015). New games, new rules: big data and the changing context of strategy. Journal of Information Technology, 30(1), 44-57.
- Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS quarterly, 36(4), 1165-1188.
- Ketter, W., Peters, M., Collins, J., & Gupta, A. (2015). Competitive Benchmarking: An IS Research Approach to Address Wicked Problems with Big Data and Analytics. MIS Quarterly. (forthcoming)
- McAfee, A., Brynjolfsson, E., Davenport, T. H., Patil, D. J., & Barton, D. (2012). Big data. The management revolution. Harvard Business Review, 90(10), 61-67.
- Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., and
Byers, A. H. 2011. “Big Data: The Next Frontier for Innovation, Competition, and Productivity,” McKinsey Global Institute. http://www.mckinsey.com/business-functions/business- technology/ourinsights/big-data-the-next-frontier-for-innovation; access on 4 March 2016.
- Kallinikos, J., & Constantiou, I. D. (2015).
Big data revisited: a rejoinder. Journal of Information Technology, 30(1), 70-74.
- McAfee, A., Brynjolfsson, E., Davenport, T. H., Patil, D. J., & Barton, D. (2012). Big data. The management revolution. Harvard Business Review, 90(10), 61-67.
- Kallinikos, J., & Constantiou, I. D. (2015). Big data revisited: a rejoinder. Journal of Information Technology, 30(1), 70-74.
- Sharma, R., Mithas, S., & Kankanhalli, A. (2014). Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations. European Journal of Information Systems, 23(4), 433-441.
Assessment Criteria for Team Report – 100 Marks (15%
Weighting)
Student IDs:
Score | Very Good | Good | Satisfactory | Unsatisfactory (0) |
Presentation | Information is well | Information is | Information is somewhat | Information is |
/Layout | organized, well written, | organized, well written, | organized, proper | organized, but proper |
and proper grammar | with proper grammar | grammar and | grammar and | |
and punctuation are | and punctuation. | punctuation mostly | punctuation not always | |
used throughout. | Correct layout used. | used. Correct layout | used. Some elements | |
/05 marks | Correct layout used. | used. | layout incorrect. | |
Structure | Structure guidelines | Structure guidelines | Structure guidelines | Some elements of |
/10 marks | Enhanced | followed exactly | mostly followed. | structure omitted |
Introduction | Introduces the topic of | Introduces the topic of | Satisfactorily introduces | Introduces the topic of |
the report in an | the report in an | the topic of the report. | the report, but omits a | |
extremely engaging | engaging manner which | Gives a general | general background of | |
manner which arouses | arouses the reader’s | background. | the topic and/or the | |
the reader’s interest. | interest. | Indicates the overall | overall “plan” of the | |
Gives a detailed general | Gives some general | “plan” of the paper. | paper. | |
background and | background and | |||
indicates the overall | indicates the overall | |||
/10 marks | “plan” of the paper. | “plan” of the paper. | ||
Discussion of | All topics discussed in | Consistently detailed | Most topics are | Inadequate discussion |
Topics | depth. Displays deep | discussion. Displays | adequately discussed. | of issues Little/no |
analysis of issues with | sound understanding | Displays some | demonstrated | |
no irrelevant info. | with some analysis of | understanding and | understanding or | |
issues and no irrelevant | analysis of issues. | analysis of most issues | ||
Information | and/or some irrelevant | |||
/50 marks | information. | |||
Conclusion | An interesting, well | A good summary of the | Satisfactory summary of | Poor/no summary of the |
written summary of the | main points. | the main points. | main points. | |
main points. | A good final comment | A final comment on the | A poor final comment | |
An excellent final | on the subject, based | subject, but introduced | the subject and/or new | |
comment on the | on the information | new material. | material introduced. | |
subject, based on the | provided. | |||
/15 marks | information provided. | |||
Referencing | Correct referencing | Mostly correct | Mostly correct | Not all material correctly |
(APA). All quoted | referencing (APA). All | referencing (APA ) | acknowledged. | |
material in quotes and | quoted material in | Some problems with | Some problems with | |
acknowledged. All | Quotes & acknowledged. | quoted material and | reference list. | |
paraphrased material | All paraphrased material | paraphrased material | ||
acknowledged. | acknowledged. | Some problems with the | ||
Correctly set out | Mostly correct setting | reference list. | ||
/10 marks | reference list. | out reference list. | ||
SubTotal-/100 marks | ||||
Total out of 15 |
Assessment Criteria for
Team Report Presentation – 100 Marks (10% Weighting)
Student IDs:
Each team report presentation shall last 10-20 minutes. The following shall be used to assess and grade the presentations.
Criteria | Marks |
Introduction | /10 |
Content | /40 |
Conclusion | /10 |
Presentation Style e.g. clarity, engagement | /20 |
Team participation | /10 |
Timing (10-15 minutes) | /10 |
SubTotal-2 | /100 |
General Comments: |
Team assignment Total = SubTotal-1 + SubTotal-2.