CIS 475 EVALUATION OF COMPUTER APPLICATIONS
Summer 2006 Syllabus
Mon, Wed, Thu 1:00 - 4:00pm (2nd Session - 7/5/06-8/7/06)
Contact Information
Instructor: Umar Qasim
Office: Co-Lab – 4323 GITC Building – 4th Floor
Office Hours: Monday(12:00 pm - 1:00 pm) Wed ( 12:00 pm - 1:00 pm)
Online Hours: Thu (11 am - 1 pm)
IM: umar.qasim@yahoo.com
Web Site: http://web.njit.edu/~muq2
Telephone: (973) 596 5422 (Email is preferred)
E-mail: muq2@njit.edu
Course Objectives
Requirements
Readings:
- Text book: H. Russell Barnard, 2000, Social Research Methods. Sage Publications
- A number of recent articles for each week, giving examples of different research methods being applied to analyze and improve software usability, chosen from ACM and other publications that are available online to NJIT students through the digital library facilities.
Prerequisite: a course in probability and statistics, or social science research methods.
Assessment
Course assessment (subject to modification) is 65% course work and 35% exams, broken down as follows:
|
Assessment |
Allocation |
Graded Out Of |
| Assignment 1. Research Design |
10% |
100 |
| Assignment 2. Protocol Analysis |
15% |
100 |
| Final Project. |
20% |
100 |
| Group Presentation |
10% |
100 |
| Class Participation |
10% |
100 |
| Mid-Term |
10% |
100 |
| Final Exam |
25% |
100 |
| TOTAL |
100% |
|
Topics
Chapter numbers refer to the given text book. Papers are in the ACM digital library, unless a link is given.
|
No |
Week |
Lesson |
Reading |
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Part I. Introduction |
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1. |
L1 Information systems
research. Qualitative vs. quantitative methods Epistemology, rationalism, empiricism, positivism, interpretivism, cognitive approach; |
Chapter 1 Assignments 1
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2. |
L2. Scientific method
concepts. Variables, measurement, unit of analysis, validity, reliability, hypotheses, causal relationships; Ethics of social research |
Read Chs 2 and 3 Nancy C. Goodwin Functionality and Usability CACM March 1987, 229-233. |
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Part II Qualitative Research | ||
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3 |
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Interviewing. Unstructured and semi-structured interviews | Ch 6. L. Wood, Semi-structured interviewing for user-centered design, Interactions, March-April 1997, 48
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4-5 |
Participant observation/ observation/ protocol analysis / case and field studies | Chs. 9 and 10 Maloney-Krichmar and Preece, “A multilevel analysis of sociability, usability and community dynamics in an online health community,” ACM TOCHI (find online in ACM digital library), 12, 2 ( June 2005), pp. 201- 232. Boren, M. Ted and Ramey, Judith. Thinking Aloud: Reconciling theory and practice. IEEE Transactions on Professional Communication, 43, 3, Sept. 2000, 261- 278. Skim: Holzinger, A. Usability engineering methods for software developers. Communications of the ACM 48, 1 (January 2005), 71- 74. Assignment 1 due; assignment 2 issued |
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6 |
Exam 1 |
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PART III QUANTITATIVE METHODS: DATA COLLECTION |
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|
7 |
Sampling. Sampling frame, population, sampling methods, sample size, central limit theorem and confidence intervals. | Ch 5 Bailey and Pearson "Development of a Tool for Measuring and Analyzing Computer User Satisfaction" Management Science, , May 1983, p530-545. |
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8 |
Questionnaires and surveys.
Question wording, format, response rate problem, survey techniques. Scales and scaling. Simple, complex, Guttman, Likert, semantic differential, testing uni-dimensionality. |
Ch 7
Ch 8 Lederer A.L. et. al "The role of ease of use, usefulness and attitude in the prediction of world wide web usage" ACM CPR , , undefined 1998, p195-204. Assignment 2 due: Final Project issued |
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9. |
Experimental design | Ch 4 Ellen Hoadley, Investigating the effects of color," CACM, 33, 2 (February 1990), 120-125. |
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Part III. DATA ANALYSIS |
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10. |
Qualitative and
quantitative analysis Univariate analysis and correlation. Raw data, frequency distributions, measures of central tendency and dispersion, graphing variables, z-scores and chi-square test |
Chs 11 and 14
B. J. Fogg et. al “What makes Web sites credible?”: a report on a large quantitative study, Proceedings of the SIGCHI conference on Human factors in computing systems, p.61-68, March 2001, Seattle, Washington, United States |
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11. |
L11. Bivariate Analysis 1. t-test, ANOVA, cross-tabs, Lambda, chi-square, Gamma | Ch 15, p545-576 Xue, Y., Sankar, C.S., and Mbarika, V.W., (2003), "Multimedia and Virtual Teams: Results of an Experimental Research", American Society for Engineering Education Southeast Section Conference, Macon, GA, April 2003. http://www.auburn.edu/research/litee/media/pdfs/eval_conf_papers/2003se_lucky.pdf
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12. |
L12. Bivariate Analysis 2. Correlation, Spearman’s and Pearson’s r’s, regression, significance, Eta | Ch 15 p576-612 |
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13. |
L13. Multi-variate Analysis. Partial correlation, multiple regression, path analysis, factor, cluster and discriminant analysis | Ch 16. |
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14. |
review |
Final project due |
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15. |
Final exam |
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Copying/Cheating
All students are expected to follow published guidelines on academic honesty and integrity. You must acquaint yourself with these policies before submitting any assignments. All written work must be original. Violations of NJIT policies will be reported to the Dean of Students and may result in failure on a particular assignment, failure in the course, failure in the course and probation, or failure in the course and expulsion. Honor Code violations will be pursued immediately and aggressively.
Using "TURNITIN.COM"
A copy of all individual assignments, including the final project, will be
required to be submitted to the "turnitin.com" web site. This is in addition to
paper copies that may be supplied to the professor, or to posting a copy of the
assignment for the class, according to detailed instructions that will be given
for assignments. This service checks your work against everything available on
the world wide web and in the archives for all sections of 675 past and present,
and gives a report on exactly where your work is similar to that of other work
that can be found. This is an objective way to help determine whether plagiarism
has occurred.