COURSE DESCRIPTION

NAME OF INSTITUTION Lahore Garrison University
PROGRAM (S) TO BE EVALUATED Computer Science , Spring 2022
Course Description :
Course Code CSC713
Course Title Research Methodology
Credit Hours 1
Prerequisites by Course(s) and Topics
Assessment Instruments with Weights (homework, quizzes, midterms, final, programming assignments, lab work, etc.) SESSIONAL (Quizzes, Assignments, Presentations) =25 %
Midterm Exam =25 %
Final Exam = 50%
Course Coordinator Dr. Muhammad Asif
URL (if any)
Current Catalog Description
Textbook (or Laboratory Manual for Laboratory Courses) Research design: Qualitative, quantitative and mixed methods approaches, Creswell, J. W. Thousand Oaks, CA: Sage, 4th Ed. 2014.
Reference Material 1. A Gentle Guide to Research Methods: Gordon Rugg and Marian Petre. 2. Handouts, Tutorial, Research Papers and Slides
Course Goals
Course Learning Outcomes (CLOs):
At the end of the course the students will be able to:DomainBT Level*
1. To understand why do researcher do research?
2. To understand basic concepts of research, its methodology and terminology.
3. To apply the knowledge of research processes (reading, evaluating, and developing).
4. To understand ethical principles of research, ethical challenges and approval processes.
5. To apply quantitative, qualitative and mixed approaches to address the research problem. Identify the components of a literature review process. To critically analyze and evaluate the published research.
To write an appropriate research problem and define parameters. To distinguish among problem statement, a research question or hypothesis, and a research objective. To organize and conduct research in more appropriate manner. To write research paper, report and thesis.
* BT= Bloom’s Taxonomy, C=Cognitive domain, P=Psychomotor domain, A= Affective domain
Topics Covered in the Course, with Number of Lectures on Each Topic (assume 15-week instruction and one-hour lectures)
WeekLectureTopics Covered
Week 1 1 Introduction to the research, What is research? Why do we do research? Who does research? The basic steps of research.
2 Research basics, Research characteristics, research projects and its pitfalls. sources of research problem
Week 2 3 Hypothesis, delimitations, definitions, assumptions, research proposal and its components
4 Research process, methodologies and comparison among different research methodologies.
Week 3 5 Literature Review, Why literature review? How to conduct literature review? Topic identification, Sources of literature.
6 Reading the literature, Research paper template
Week 4 7 How to read a research paper? Comprehension and Evaluation
8 Synthesis and Paper review
Week 5 9 How to write a paper? Types of research papers. A scientific contribution, Structure of a paper.
10 Literature review analysis and synthesis, systematic and argument analysis.
Week 6 11 Methods of argument analysis, Fisher and Toulmin method. Assembling and organizing literature using map.
12 Writing the literature review and Review article
Week 7 13 Research article, table, figure and equation citations and indexing.
14 Preparing Bibliography, APA style, MLA, Chicago manual. Where to publish? A template for reviewing
Week 8 1 hours Mid Term
Week 9 15 Elementary statistics, Population, sample, parameter, statistics, quantitative and qualitative data, level of measurements, designing experiments.
16 Methods of sampling, frequency distributions, analysis of frequency distributions, basic measures (ratio, proportions and fractions, percentage, percents, percent change, percent increase, percentile, rate, exponential notations and precision)
Week 10 17 Data analysis, descriptive statistics, Mean, Median, Mode and Range, Standard deviation and variance
18 Skewness, Kurtosis, coefficient of variance, correlation, regression, histogram and data normalization, Discussion related to Midterm Exam.
Week 11 19 Confusion/Error matrix, Important terms, Rates calculations, Accuracy
20 Misclassification rate, Recall, False positive rate, True negative rate, precision, F-measure
Week 12 21 Receiver Operator Characteristics (ROC), creating ROC, interpreting the ROC
22 Area under the curve, Relation between sensitivity, specificity, FPR and Threshold
Week 13 23 Measure of Association, strength of prediction, classification problems, classification accuracy, confidence interval for classification accuracy,
24 Impact of sample size, reliability and validity, Std Deviation and coefficient of variation
Week 14 25 Z Score, Standard (Z) scores, calculating Z Scores, Interpreting Z Scores
26 Z Score tables, Use of Z score tables, Cumulative Z score, Level of confidence,
Week 15 27 Research problem identification, Research proposal writing, Why do we need to write proposal?
28 Contents of research proposal, Presentations,
Week 16 29 Writing research reports and thesis. Contents of report and thesis.
30 Presentations, Discussion about final exam
Week 17 2 hours Final Term
Laboratory Projects/Experiments Done in the Course Latex
Programming Assignments Done in the Course Yes
Instructor Name Dr. Muhammad Asif
Instructor Signature
Date