Mease - Bus 260 Greensheet

BUS 260 Greensheet, Spring 2009

Professor David Mease

Rose Orchard Tech Center


Email: mease_d@cob.sjsu.edu (Email is the preferred contact method)


Phone: Cell = 419-944-9652, Office = 408-924-3523


Office: BT 551


Office Hours: Monday and Wednesday 7:00 AM to 9:30 AM and by appointment


Course Web Page: http://www.cob.sjsu.edu/mease_d/bus260/


Textbooks:

Stats Book:
Black and white cover SJSU custom edition of Levine, Stephan, Krehbiel, Berenson, Statistics for Managers Using Microsoft Excel, 4th Edition, Prentice Hall as sold in the SJSU bookstores (ISBN=0536889163). If you purchase the original full 4th edition or the green custom edition from someone else, the content will be the same but the page numbers will be different. Do not get the 5th edition since that is completely different.

QBA Book:
Anderson, Sweeney, & Williams, Quantitative Business Analysis, 10th Edition (2006). The custom paperback edition sold in the SJSU bookstores is fine and is less expensive (ISBN=0324550189).


Course Outline and Schedule:

3/5 (Thursday) - 6PM to 10PM - Numerical Descriptive Measures (Stats Book Page 107) and Simple Linear Regression (Stats Book Page 387)

3/7 (Saturday) - 9AM to 1PM - Basic Probability (Stats Book Page 165) and Some Important Discrete Probability Distributions (Stats Book Page 195)

3/12 (Thursday) - 6PM to 10PM - Some Important Discrete Probability Distributions (Stats Book Page 195) and The Normal Distribution and Other Continuous Distributions (Page 231)

3/19 (Thursday) - 6PM to 10PM - Homework 1 due, review Statistics material, take Exam 1 covering Statistics material (40 points)

3/21 (Saturday) - 9AM to 1PM - Decision Analysis (QBA Book Chapt. 4)

3/26 (Thursday) - 6PM to 10PM - Linear Programming (QBA Book Chapt. 7-10)

4/2 (Thursday) - 6PM to 10PM - Homework 2 due, review Decision Analysis and Linear Programming material, take Exam 2 covering Decision Analysis and Linear Programming material (30 points)

4/4 (Saturday) - 9AM to 1PM - Data Mining Part 1 (on photocopied handouts)

4/16 (Thursday) - 6PM to 10PM - Data Mining Part 2 (on photocopied handouts)

4/23 (Thursday) - 6PM to 10PM - Homework 3 due, review Data Mining material, take Exam 3 covering Data Mining material (30 points)


Prerequisites: Bus 90 (Business Statistics)


Evaluation: Grades will be based on 3 exams worth 40 points, 30 points and 30 points respectively as listed above.


Grades: Grades will be assigned as follows:

97%-100% = A+
92%-97% = A
90%-92% = A-
87%-90% = B+
82%-87% = B
80%-82% = B-
77%-80% = C+
70%-77% = C
60%-70% = D
below 60% = F

Current point totals will be posted throughout the semester on the course web page by the last 5 digits of student ID numbers.


Homework: 3 homeworks will be assigned and will be due on the dates listed above. These will not be graded but the material on the homeworks will be covered on the exam for each due date.


Make Up Exams: I must receive prior notification and justification of your impending absence in order to authorize a make-up exam. Messages must be left either on my office or cell phone voice mail or sent by email prior to the start of the exam. An exam must be made up within 1 day of the original exam date. There will be no exceptions.


Technology: A basic hand held calculator which can take logarithms in addition to performing standard operations will be sufficient for the midterm exams and the final. To complete homework assignments you will need internet access, Microsoft Excel (2002), the R statistical software package (free download) and a printer.


College of Business Mission:
The College of Business is the institution of opportunity, providing innovative business education and applied research for the Silicon Valley region.


College of Business Policies and Procedures:
To ensure that every student, current and future, has the opportunity to experience an environment that is safe, attractive, and otherwise conducive to learning, the College of Business at San José State has established the following policies:

Eating: Eating and drinking (except water) are prohibited. Students with food will be asked to leave the building. Students who disrupt the course by eating and do not leave the building will be referred to the Judicial Affairs Officer of the University.

Cell Phones: Students will turn their cell phones off or put them on vibrate mode while in class. They will not answer their phones in class. Students whose phones disrupt the course and do not stop when requested by the instructor will be referred to the Judicial Affairs Officer of the University.

Computer Use: In the classroom, faculty allow students to use computers only for class-related activities. These include activities such as taking notes on the lecture underway, following the lecture on Web-based PowerPoint slides that the instructor has posted, and finding Web sites to which the instructor directs students at the time of the lecture. Students who use their computers for other activities or who abuse the equipment in any way, at a minimum, will be asked to leave the class and will lose participation points for the day, and, at a maximum, will be referred to the Judicial Affairs Officer of the University for disrupting the course. (Such referral can lead to suspension from the University.) Students are urged to report to their instructors computer use that they regard as inappropriate (i.e., used for activities that are not class related).

Academic Honesty: Faculty will make every reasonable effort to foster honest academic conduct in their courses. They will secure examinations and their answers so that students cannot have prior access to them and proctor examinations to prevent students from copying or exchanging information. They will be on the alert for plagiarism. Students who are caught cheating will be reported to the Judicial Affairs Officer of the University, as prescribed by Academic Senate Policy F06-1.

I will follow the protocol described at http://sa.sjsu.edu/judicial_affairs/faculty_and_staff/academic_integrity/reporting.html when dealing with any violations.