units

CIV3204

Faculty of Engineering

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This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Engineering

Organisational Unit

Department of Civil Engineering

Coordinator(s)

Dr Valentijn Pauwels

Offered

Clayton

  • Second semester 2016 (Day)

Malaysia

  • Second semester 2016 (Day)

Synopsis

Systematic approaches to engineering data collection, analysis and interpretation. The Scope covers data description and presentation, randomness, discrete probability, continuous probability, conditional probability, Bayes' Theorem, normal distribution, sampling distributions, point estimation, interval estimation, hypothesis testing, linear regression.

Outcomes

On successful completion of this unit, students should be able to:

  1. apply statistical theory to problems frequently encountered by engineers
  2. arrange and interpret large data sets and compute summary statistics
  3. plan experiments and draw conclusions in a correct manner
  4. formulate hypotheses to analyse data sets
  5. predict random processes through time series analysis

Assessment

Continuous assessment: 30%
Final Examination: (3 hours) 70%
Students are required to achieve at least 45% in the total continuous assessment component (assignments, tests, mid-semester exams, laboratory reports) and at least 45% in the final examination component and an overall mark of 50% to achieve a pass grade in the unit. Students failing to achieve this requirement will be given a maximum of 45% in the unit.

Workload requirements

2 hours lecture, 2 hours practical and 8 hours private study per week.

See also Unit timetable information

Chief examiner(s)

Prerequisites

ENG1091 or MTH1030 or MTH1031 or ENG1005