Course Syllabus
Meeting Time: Period 1: 8:00 a.m. - 8:50 MWF
Meeting Place: 230 Eisenberg.
Instructor's Office Hours: Monday, Wednesday, Friday 10:00 a.m. - 11:15 a.m..; Tuesday 9:30 a.m. - 10:45 a.m.., or by appointment.
Instructor's Office location: AT&SH 248
Instructor's e-mail address: david.dailey@sru.edu
Assessment: The connection of course outcomes, with departmental outcomes and ultimately with university outcomes is discussed at some length at http://cs.sru.edu/~whit/assessment/.
Prerequisites: CpSc 413 and CpSc 317.
Textbooks: Ratner -- Human Factors and Web Development -- Lawrence Erlbaum publisher.
Required reading: Class web page found at http://srufaculty.sru.edu/david.dailey/cs427/index.htm
Computing labs: The class will
primarily use equipment provided in Eisenberg 103; but other machines on campus are
available and may be used as well.
Method of determining final grade: Assignments: 30%; quizzes 15%;
class participation
15%; team project (including writeup and presentation): 40%.
Final exam: The course will not have a final exam, but rather will meet (as per http://www.sru.edu/pages/5647.asp) for a final class Monday May 5th, at 8:00 am.
Attendance policy: Regular attendance is expected. Excessive absences will have an effect on your grade. If a prolonged illness should cause you to miss several class periods, you are expected to discuss this with the instructor.
Late work: Assignments will be accepted until three weeks after the due date, but with a penalty of 10% for any assignment turned in after the due date and a penalty of 20% for work turned in more than one week after the due date. Assignments more than three weeks late, or beyond the end of the semester, cannot be accepted.
Make-up exams: It is the student's responsibility a) to notify the instructor beforehand if he or she must miss an exam due to illness or family emergency and b) to take the initiative in finding a time suitable to the instructor for a make-up exam. Make-up exams must be scheduled within one week following the original exam date.
Academic Integrity:
All academic work for this course must consist of your own work. See the University's statement on Academic Integrity (online at.http://academics.sru.edu/catalog/apol.asp) . Though it remains the student's responsibility to read and understand the University's expectations here, I wish to emphasize the following excerpts from that statement:
"Academic dishonesty may take many forms. Examples of academic dishonesty include, but are not limited to, the following: (...)
- plagiarizing and/or submitting the work of another as your own;
- (...)
- any attempt, or actual, collusion willfully giving or receiving unauthorized or unacknowledged assistance on any assignment (both parties to the collusion are considered responsible.)"
The fact that this course is in Computer Science does not lessen the student's responsibility to make sure that work submitted for a grade is his or her own work. Again, from the University's statement on Academic Integrity:
Assignments and tasks: Each assignment will be explained in class. Any uncertainties students may have about an assignment should be raised at the time the assignment is made. Students may be required to use e-mail for certain assignments; assignments submitted via e-mail must include, in this order, the course number, the student's last name and the assignment number in the subject line of the message. Assignments submitted through e-mail that do not follow the exact format explained in class may receive a grade of zero.
Several homework assignments will be given during the semester. Unless otherwise stated, these assignments are to be completed individually by each student. Students may be called upon to present and explain their work to the class or to the instructor and should be consistently and adequately prepared to do so.
Team projects may be assigned. To the extent that it is possible, each student's contributions to such projects should be identified.
As the semester progresses, additional details about assignments may be found on the class web page.
Class discussion: Interface design is a topic with few certainties. Opinions abound. It is expected that the student will augment the discussion through readings of the literature in the subject.
Tentative Schedule of Topics
The instructor reserves the right to change topics covered or the order in which they are covered at his/her discretion. Assignments shown may vary. Refer to lecture notes and/or course web-site for details.
Week 1 -- Class introduction
; methods of changing web pages.Week 2 -- Screen and mouse coordinates, DOM2.
Week 3 -- XML
Week 4 -- Introduction to SVG
Week 5 -- Making widgets using SVG
Week 6 -- Human factors literature and background. Psychometrics
Week 7 -- Further topics in statistical evaluation. (multidimensional scaling, analysis of variance
Week 8 -- Navigation, timing, spatial frequency..
Week 9 -- Design specifications for team project are due.
Weeks 10 & 11 -- Lab work on team projects.
Quiz: Probable time for quiz.
Weeks 12 & 13 -- Team project is finished.
Weeks 14-15 -- Final projects: presentation, discussion and critique.
COURSE: CpSc 427 - Interface Design
Catalog Description: This Information Technology major course uses graphical user interface design concepts to introduce interface design possibilities. This senior-level course requires students to produce an intricate interface that utilizes systems design, information management, systems administration & security, and programming concepts from lower-level courses. This course is intended as a capstone course that introduces human user interface theory and practice. Prerequisites: CpSc 413 and CpSc 317. (3 credits)
Course Outcomes: This course and its outcomes support the Information Technology Learning Outcomes of Problem Solving and Critical Thinking (PS&CT) and Communication and Interpersonal Skills (C&IS). These Information Technology Learning Outcomes are tied directly to the University Wide Outcomes of Critical Thinking and Problem Solving and Communication.
| Objectives | Strategies | Assessment Methods |
|---|---|---|
The student will be able to:
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Together, the students and the professor
will:
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The student will:
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