Science

Statistical Process Control (SPC)
Course Objectives

At the end of the course, participants will be able to:

  • Recognize the differences between current practices and SPC approach.
  • Know where and when to use the appropriate tools.
  • Learn about the important tools in SPC.
  • Have the knowledge in identifying and removing defects systematically.

Target Participants

  • Reliability Engineers
  • Manufacturing Engineers/Quality Control Engineers
  • Sales and Marketing Staff
  • Design Engineers
  • Purchasing Staff
  • Customer Service Staff
  • Technical Support Staff
Statistical Process Control Training
Course Objectives

To provide Statistical Process Control (SPC) training to participants.

Target Participants

  • Quality managers
  • Quality engineers
  • Test Engineers
  • Anyone involved in quality activities
Analyzing Experimental Design Using S-Plus
Introduction

Methods of designing experiments are intended for those with good algebra and who have been introduced to basic statistics. The course emphasizes working with data and understanding the different methods of designing and analysing experiments. It also introduces the statistical package, S-Plus.

Course Objectives

  • To provide an introduction to designing experiments.
  • To introduce Statistical package (S-Plus) in the analysis of experimental designs.

Target Participants

  • Researchers
  • Engineers
  • Practitioners
  • Students
Atomic Absoption Spectroscopy (AAS)
Course Objectives

  • To enhance the understanding of the theory, instrumentation and application of atomic absorption spectroscopy.
  • To explore new advancements and current trends in this area.

Target Participants

  • Technicians
  • Lab Assistants
  • Science Officers
  • Research Assistants
  • Researchers
  • Postgraduate Students
  • Engineers
Forensic Science – Investigation and Evidence Collection
Course Objectives

  • To provide an understanding of the principles of crime investigation and reconstruction.
  • To appreciate the importance of evidence assessment and integrity.
  • To understand the principles underlying the operation of a forensic science laboratory.

Target Participants

  • Police officers
  • Chemists
  • Medical practitioners
  • Law practitioners
General Analytical Techniques
Course Objectives

1)  To enhance the understanding of the basic analytical techniques.

2)  To explore the use of statistical methods in data analysis.

3)  To perform the maintenance and calibration of glassware and apparatus.

Target Participants

  • Technicians • Lab Assistants • Research Assistants • Students
Operation Research / Management Science (OR/MS) for Middle-Level Managers
Course Objectives

By the end of the course, participants should be able to:

  • Understand and use basic OR/MC tools that are useful and can be applied to improve their decision-making procedures.
  • Use dynamic programming to solve resource allocation and equipment replacement problems.
  • Understand how to plan, monitor, and control projects with the use of PERT/CPM.
  • Understand the importance of inventory control and analysis.
  • Use the EOQ model to determine how much material to order.
  • Handle inventory problems that allow back order and quantity discounts.
  • Use MRP to manage inventories of dependent-demand products
  • Understand Resource Allocations Models
  • Understand Equipment Replacement Models
  • Utilize Project Management PERT/CPM
  • Practice Inventory Control
  • Use MRP

Target Participants

Middle-level managers in:

  • Business
  • Production
  • Manufacturing
  • Service industries
  • Governmental Agencies
  • Those who are interested to practice OR/MS in their tasks
Analysis of Survey Data
Introduction

Often after a survey exercise, planners and researchers would have data that need to be examined and analyzed. These data are of limited use until they are turned into meaningful information. This course will develop the competencies of researchers and planners in analyzing data obtained from field surveys.

Course Objectives

At the end of this course, participants will be able to:

  • Recognize the different scales of measurements
  • Identify the appropriate type of analysis to be performed
  • Perform statistical data analysis
  • Interpret results of data analysis
  • Use the information for decision making

Target Participants

  • Planners and consultants dealing with survey activities.
  • Researchers in urban, regional, transportation and tourism planning.
  • Social scientists involved in behavioral and/or socio-economic studies.
  • Managers and administrators of organizations that require the understanding of survey results.
Introduction to Sampling Design
Introduction

At the heart of any good survey activity is a proper design of sampling procedures. The appropriate selection of samples determines the reliability and validity of survey results. An ill designed sampling would definitely undermine the credibility of not only the information obtained from the survey but it would also undermine the research as well. Therefore, this course aims to develop competent researchers/planners in the aspect of sampling design.

Course Objectives

At the end of this course, participants will be able to:

  • Understand the need for sampling.
  • Select appropriate sampling techniques for a given study.
  • Completely design sampling processes.
  • Determine the appropriate number of samples to be selected. 5) Evaluate sampling errors.

Target Participants

This course is suitable for:

  • Planners and consultants dealing with survey activities
  • Researchers in urban, regional, transportation and tourism planning
  • Social scientists involved in behavioral and/or socio-economic studies
  • Managers and administrators of organizations that require the understanding of sampling process
Process Monitoring using Tomography Techniques
Course Objective

This course will introduce to participants some new techniques in the process industry that can improve the efficiency of the process.

Target Participants

  • Process engineers
  • Control & instrumentation engineers and researchers