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An industrial talk program that includes participation and cooperation from the industry has been introduced in an endeavor to produce professional and competent engineers. The Diploma in Civil Engineering Universiti Teknologi MARA (UiTM) student program has recommended the implementation of industrial talks and site visits. One of the course codes that has been designed with industry involvement is Geology (ECG253). The programme outcomes (PO7) component related to sustainability and the environment is the major focus of this course's industrial talk. In order to validate the suggested event has achieved the targeted POs, a survey was conducted to the student who attended this industrial talk. The purpose of the survey is to study the effectiveness of the industrial talk towards the advancement of knowledge of the students related to the exposure of the industry. A total number of 180 students took the survey, and a qualitative analysis was done. The outcome of this study showed that 97 percent of the student participated in the survey agreed that the industrial talk give a positive impact to the student development. It can be said that the implementation of the industrial talk to the students give a good impact to their lifelong learning experiences and nurture them on the preparation of work environment.

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Construction industry is one of the most important sectors for the Malaysian economic growth where it remains as the fastest growing activity for several years. The issue of rapid country development which has positive influence of generating high construction waste is very commonly related to this industry. One of the major contributors of construction waste is steel. Steel is expensive and can contribute to overall project cost implication. Hence, the amount of steel waste needsto be quantifiedat the initial stage. Thus,steel waste quantification model is an important element to be considered for better waste management. By using the data collected in the Central region in Malaysia, an empirical model, Estimation Model of Steel Waste Material has been developed to estimate the amount of steel waste generation based on certain variables. This study aims to investigate and verify the effectiveness of the model by using the data collected from the Northern region in Malaysia. The value of the Mean Absolute Percentage Error (MAPE), 23.02% indicates that the model performance is common and acceptable. Thus, the model has good potential to be adopted by the industry practitioners to plan a better and more effective waste management.