top of page

ENGG 791        Applied Research Methodology


The Course also found, over UoB-Blackborad:    or   visit the above LEARNING link

Part of Ph.D. Program, College of Engineering.  


Office Hours :  Any time, please send an e-mail to :

Office No:       14-146

Office Location:     College of Engineering, Building 14.

Office Telephone:  ++ 973 17876286,  or  ++ 973 17876606


Department:      All Engineering Departments

Program:           PhD in Engineering

Course code:     ENGG 791

Course title:      Applied Research Methodologies

Course credits:  Credit Hours 3-0-3

Pre-requisites:   None

Course coordinator:   Prof. Ebrahim A. Mattar



Bordens, Kenneth H. Research Design and Methods: A Process Approach. 2008. Mac Graw-Hill, 8th  edition


References (Others):

Peter Bock. 2007. Getting it Right: R&D Methods for Science and Engineering. Academic Press

Uma Sekara. 2009. Research Methods for Business: A Skill Building Approach. John Wiley

Robson, C. Real World Research. 2009. 2nd Edition. Blackwell Publishing.

Turabian, Kate L. 1996. A Manual for Writers of Term Papers, Theses, and Dissertations.  6th  edition. Chicago: University of Chicago Press.

Jay L. Devore, “Probability and Statistics for Engineering and the Sciences”, Cole Publishing Company, Latest edition

Poutledge Taylor & Francis Group, 1985 Brenda Laurel (ed.), “Design Research: Methods and Perspectives”, MIT Press, 2004

Other resources used (e.g. e-Learning, field visits, periodicals, software, etc.):

Contribution of Course to Meeting the Professional Component:


College-level mathematics and basic science:  0 credits

Engineering topics:  3  credits

General education:  0  credits

Course Description (from UOB catalog):

The main objective of this course is to prepare the students so that they are capable of carrying individual or team research work according to scientific requirements. This course aims at training doctoral graduate students. The course is also intended to provide graduate students with a thorough knowledge and practice in conducting research,  research methods,   and development projects and to serve as preparation for carrying out studies in projects and theses.

Course Assessment:

Assessment Type: Number: Weight:

Mid-Term  :          30 %

Assignments: 4 : 30 %

Final: Project work with a presentation : 40 %


Description of Topics Covered

Topics Covered, (e.g. chapter/section title)


CILOs:  Teaching Method:  Assessment

Introduction to Research Concept, Ideas, and Prospects- Presentation - Assignment (1)

Introduction to the scientific method and research methodology- Presentation - Assignment (1)

Selection and definition of a research problem; searching and evaluation of relevant literature. - Presentation - Assignment (2)

R&D Case studies- Presentation- Assignment (2)

Selection and definition of a research problem; searching and evaluation of relevant literature. R&D Case studies- Presentation- Assignment (3)

Preparation and evaluation of a research plan.- Assignment (3)

Analysis. Constructs, Models and variables. Hypothesi- Assignment (4)

R&D and experimental designs and methods.    Assignment (5)

R&D and experimental designs and methods.    Research Wiring


Mid-Term Exam

Statistical analysis of research data. (Software Use)- Assignment (5)

Exploratory, descriptive, inferential and regression methods.- Assignment (5)

Mathematical and spatial data representation- Assignment (5)

Preparation and evaluation of research reports and theses,  the (LaTex, and Bibo-LaTex).


Project work

With a presentation- Case Studies- 1 (LaTex use)

Project work- with a presentation- Case Studies -2  (LaTex use BiBo)

FINAL  Exam:

With Presentation, and report Submission.


Lecture Notes  

some of the inside Notes have been taken with permission from authors.  

Lectures Notes: Access via UoB Blackboard link;  UoB BB course contents

Object Oriented Programming using Matlab (OOP):

Object Oriented Programming using Matlab (OOP), uses of classes (class), objects (obj) and data structure (struct) .. if you would like to use this approach in programming for this course, this will be great. This is optional, but it is always good to learn latest advanced programming tools.  

Download slides about Matlab (oop), from the Advanced MATLAB for Scientific Computing,

Stanford University.  (press here to download >>> )   OOP-Matlab

bottom of page