Ground Penetrating Radar (GPR) Survey Training Course for Operators, Engineers, Surveyors

Ground Penetrating Radar (GPR) Survey Training Course for Operators, Engineers, Surveyors Project Managers

The course is designed to provide engineers, surveyors, operators managers with essential theoretical and practical knowledge in Ground Penetrating Radar (GPR), as one of the geophysical methods, to meet the increasing demand in civil engineering application, such as utility mapping, asphalt pavement condition monitoring, moisture seepage in concrete. etc.

Course type

Certificate Course

Course Ref

GPRQ-001

Class Dates

10- 14May 2010

Class Time and Venue

0900-1800

Venue: Construction Professionals Development Centre

(Unit 209, 2/F., Favor Industrial Centre, 2-6 Kin Hong Street,

Kwai Chung)

Language of teaching

Cantonese (Teaching materials will be in English/Chinese)

Trainers

Ir Dr. King Wong, Chief Executive of Construction Professionals’ Development Centre (FHKIUS, FICE, FIMechE, FCIWEM, FHKIHT, CMIOSH, MHKIE, FHKAAST, FHKIoD)

黃敬博士、工程師, 建造及工程專業發展中心總幹事

– Over 15 years experieneces working with underground utility inspections, surveying and mapping)

Mr. Jiang Xuyang, General Manager of Shenzhen Keyfound Electronic Ltd.

蔣旭陽先生, 凱方達電子技術有限公司總經理

– Over 10 years experience in Ground Penetrating Radar Survey and have conducted major underground utility inspection projects in mainland China.

CPD hours

40hours

Course fee

$12,000

Certificate

Certificate of Attainment (Qualifying) for students with or more than 80% attendance rate and get pass in the examination. This course meets the requirement for entry asFull member of Hong Kong Institute of Utility Specialists (with experience).

Application method

Apply online registration at www.uti.hk or fax back the Course Application Form.

Application period

27 April 2010 -6 May 2010

Requirement

F.5 or above education qualification

Quota

10

Course Programme

Day 1 – GPR Survey Introduction

Day 2 – Practice Site Trial

Day 3 – Site Trial Data Analysis

Day 4 – Data Analysis Review

Day 5 – Exam