Note: This unit version is currently being edited and is subject to change!
ENGG2851: Data Analytics for Project Management (2017 - Semester 1)
|Unit:||ENGG2851: Data Analytics for Project Management (6 CP)|
Dr Piraveenan, Mahendrarajah
|Session options:||Semester 1|
|Versions for this Unit:|
|Pre-Requisites:||ENGG1850 AND (MATH1001 OR MATH1901) AND (MATH1002 OR MATH1902) AND (MATH1003 OR MATH1903) AND (MATH1005 OR MATH1905).|
|Brief Handbook Description:||Project Management Data analytics (DA) provides extensive coverage related to examining raw data with the purpose of drawing conclusions about that information. It is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing models or theories. Here, we focus our effort on providing in-depth knowledge and skills to students focusing on inference, process of deriving a conclusion based solely on what is already known by the project manager.|
Dr Piraveenan, Mahendrarajah
Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.Project Methods (Level 3)
* means this assessment must be repeated or will be replaced with a different assessment if missed due to special consideration.
Late submissions will incur a penalty of 10% per day for up to 7 days starting directly after the cut off time. This means 10% will be deducted even if submitted on the due day but after the cut-off time. After one week, assessments will no longer be marked and receive a 0 mark.
IMPORTANT: There may be statistically defensible moderation when combining the marks from each component to ensure consistency of marking between markers, and alignment of final grades with unit outcomes.
|Policies & Procedures:||See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.|
Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp
|Week 1||Decision-making in Project Management.|
|Week 2||Data representation in Project Management.|
|Introduction to programming.|
|Week 3||Decision theory and games.|
|Week 4||Markov models.|
|Week 5||Project scheduling.|
|Assessment Due: Assignment 1|
|Week 6||Network models. Topological analysis.|
|Week 7||Network models. Topological analysis.|
|Week 8||Linear programming.|
|Week 9||Simplex method.|
|Assessment Due: Assignment 2|
|Week 10||Dynamic programming.|
|Week 11||Simulation modelling.|
|Week 12||Optimisation theory.|
|Week 13||Assessment Due: Assignment 3|
|Exam Period||Assessment Due: Final Exam*|
The following is a list of courses which have added this Unit to their structure.
This unit contributes to the achievement of the following course goals:
|Project Leadership (Level 2)||No||0%|
|Project Methods (Level 3)||No||100%|
|Project Development (Level 2)||No||0%|
These goals are selected from Project Management Learning Progression Table which defines overall goals for courses where this unit is primarily offered. See Project Management Learning Progression Table for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.