2017 Summer School Subject List

Data Analytics for Project Management (ENGG2851) - Applications Closed

Faculty: Engineering and Information Technologies
Department: Civil Engineering
Level: Undergraduate
Credit Points: 6

Instructors:
(1)  Upul Senanayake - usen8682@uni.sydney.edu.au

Contacts:
(1) Ms Jessica Mullins - jessica.mullins@sydney.edu.au

Start Date: 23 Jan 2017 
End Date: 15 Feb 2017 
Capacity: 40 
Status: Applications Closed 
Applications Open: 04 Oct 2016 
Applications Close: 04 Jan 2017 
Census date: 30 Jan 2017 
On-time withdrawals close: 30 Jan 2017 
Available to audit: No
Open to HSC graduates?: No

Prerequisites:

  1. Prerequisite: - 

    ENGG1850

  2. Prerequisite: - 

    MATH1001 OR MATH1901

  3. Prerequisite: - 

    MATH1002 OR MATH1902

  4. Prerequisite: - 

    MATH1003 OR MATH1903

  5. Prerequisite: - 

    MATH1005 OR MATH1905

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.

Assessment

Assignments (50%); Final Exam (50%)

Timetable

Start Date: 23 Jan 2017     End Date: 15 Feb 2017

Lectures:

Mon, Wed & Fri: 9:00 - 12:00 hrs

Final Exam: 20 Feb at 9.20am (2 hrs & 10 mins reading time)

Location:

Link Project Management Studio 1 (Rm 417)

Texts

None required Recommended: Operations Research, H.A Taha, 9th Edition.