FOUNDATIONS OF RESEARCH METHODS

Course Description

Research Methods is an introductory course in information technology. It aims to introduce the student with the basic concepts and problems encountered in an IT and social scientific investigation. Research methods objective is to explain the main concepts related to the methodology of conducting research in IT. Also it explains the importance and limitations of theory and methodology in IT research as well as the purposes of applied research evaluation, analysis techniques, and research ethics. Moreover, the course introduces the field of scientific methodologies by providing basic research techniques and tools to the students. Also, the procedures for writing research papers and reports, literature review for journals and books and doing practical research are introduced

FOUNDATIONS OF RESEARCH METHODS

Evaluation Tools (Active Term)

Course outcomes

1. 01 THIS COURSE WILL EQUIP OUR STUDENTS WITH THE NECESSARY KNOWLEDGE OF DIFFERENT RESEARCH METHODS
2. 02 TO ENABLE THE STUDENTS TO PERFORM DATA COLLECTION
3. 03 TO ENABLE THE STUDENTS TO SELECT THE PROPER SAMPLE FOR RESEARCH
4. 04 TO ENABLE THE STUDENTS TO CARRY OUT THE STATISTICAL ANALYSIS USING SPSS SOFTWARE
5. 05 TO ENABLE STUDENTS TO PREPARE A RESEARCH PROPOSAL
6. 06 TO ENABLE THE STUDENTS TO WRITE A RESEARCH THESIS AND A RESEARCH PAPER

Course Syllabus

Reference Books & Course Materials

1. 01 1. Igwenagu, C. (2016). Fundamentals of research methodology and data collection. LAP Lambert Academic Publishing.
2. 02 2. Kumar, R. (2018). Research methodology: A step-by-step guide for beginners. Sage.

Learning Outcomes

1. L01 Compare different research methods SOLO 4
2. L02 Select suitable samples for different research methods SOLO 3
3. L03 Create a research proposal SOLO 5
4. L04 Write a research thesis SOLO 2
5. L05 Design a research methodology SOLO 5
6. L06 Conduct a literature review SOLO 4
7. L07 Explain the fundamental aspects of research methods SOLO 4

Program Outcomes

1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

Po-Lo Matrix