COURSE SYLLABUS
I.
General information
1
Faculty
BUSINESS ADMINISTRATION
2
Course Name
Quantitative Techniques and Simulation (BUAD 599)
3
Academic Year
2014 – 2015 I
4
Facilitator(s)
Santiago Casamayor & Rosa Padilla
5
Website
https://sites.google.com/a/upeu.edu.pe/rosa-padilla/
6
Number of credit
3
7
Course Venue
Guishushu Campus
8
Consultation
Venue/Time
Monday and Thursday from 3 to 5 pm at Masoro Campus
II.
Course Description
:
This course theoretical and practical belongs to science area. The purpose of this
course is to develop an understanding of the uses of mathematics and statistics in the
study of business and economic decision making. The calculations and results
throughout the course will be obtained by the statistical software SPSS V.22
Topics to be covered are: Mathematical models in business. Lineal programming.
Descriptive and Inferential Statistics. Nonparametric analysis. Multivariate analysis.
Forecasting analysis. Simulation.
III.
References
Books:
1. Derek, W. (2008). Statistics for Business. United States: Butterworth-Heinemann.
2. Doane, D. & Seward, L. (2013). Applied Statistics in Business and Economics. 4th Edition. New York: McGraw-Hill Irwin
3. Groebner, D; Shannon, P. (1985). Business Statistics A Decision- Making Approach. 2nd Edition. United States of America: Merrill. (519.5 G874).
4. Haeussler, F., Paul, R, & Wood, R. (2011). Introductory Mathematical Analysis for Business, Economics and Life and Social Sciences. 3rd Edition. United States: Printice Hall
6. Knut, S & Hammond P. (2008). Essential Mathematics for Economic Analysis. 3rd Edition. England: Printice Hall
7. Lind, D. Marchal, W. & Wathen, S. (2008). Statistical Techniques in Business & Economics. 13th Edition. China: McGraw-Hill Irwin
8. Neter, J. & Wasserman, W. (1974). Applied Linear Statistical Models. Regression, Analysis of Variance and Experimenter Designs. Paris: Richard D. Irwin, INC.
9. Newbold, P; Carlson, W; & Thorne, B. (2010). Statistics for Business and Economics. 7th Edition. United States of America: Pearson. (330 N533).
10. Render, B., Stair Jr., R.M. & Hanna, M.E. (2009). Quantitative Analysis for Management. (11th. Ed.). Prentice Hall.(658.4 Ren 2009)
11. Sanders, D. & Smidt, R. (2000). Statistics. 6th Edition. United States of America: McGraw-Hill
12. Sydsaeter, K. & Hammond, P. (2008). Essential Mathematics for Economic Analysis. 3rd Edition. England: Prentice Hall
13. Tabachnick, B. & Fidell, L. (2007). Using Multivariate Statistics. 3rd. Edition. United States of America: Pearson Education. (310 T112).
14. Zikmund, W. (2003). Business Research Methods (7th ed.). USA: Thompson,
Internet Links:
Padilla, R. (2012). Quantitative Techniques and Simulation. Retrieved from https://sites.google.com/a/upeu.edu.pe/rosa-padilla/
ANOVA Example Part 1 of 2. Retrieved from http://www.youtube.com/watch? v=ZFCzSRg0ibg&feature=related
Independent t-test - SPSS (Example 1). Retrieved from http://www.youtube.com/watch? v=8alv3kZt8Ug&feature=related
Introductory Statistics - Chapter 10: Regression. Retrieved from http://www.youtube.com/watch?v=MIqyiGvrUXE&feature=related
Multiple Regression - SPSS (part 1). Retrieved from http://www.youtube.com/watch? v=IWYENu0kCYE&feature=related
Multiple Regression - SPSS (part 5). Retrieved from http://www.youtube.com/watch? v=UiJ4G3rLlXA&feature=related
One-Way ANOVA using SPSS. Retrieved from http://www.youtube.com/watch?v=C3-a5jrCjhk&feature=related
Organization for Economic and development. Retrieved from www.oecd.org Partial Correlation - SPSS (part2). Retrieved from http://www.youtube.com/watch?
v=GUNPXLRk_60&feature=related
IV.
Learning outcomes
Each participant should be able to: Identify and diagnoses problems.
Acquire a working knowledge of how to apply statistics in business situations.
Develop and refine decision-making skills by basing decision upon the outcome of statistical tests.
Analyze and Interpret the findings generated from SPSS V.22 Apply various quantitative models in decision making.
Decide the appropriate course of action based on the quantitative analysis performed. Integrate the quantitative methods learned for making decisions within an organization Apply simulation in business to predict the implications making a particular decision.
V.
Methodological Strategies
Learning and Teaching Strategies
Theoretical class: Topic will be explained by PPT presentations; then develop constructive learning with student participation, to strengthen cognitive contents
Team work: Students will work by groups to solve exercises and application problems for this purpose. They will show to the class the findings obtained to discuss and get feedback on the topics addressed.
Individualwork: The students also will work in personal assignments outside classroom, as well as research work in their own area.
Consulting: Students may consult to the professors for any clarification, even if there are doubts about class or assignments, and also assistance in carrying out their research works Integration of Faith-Teaching and Learning
Apply examples using biblical references
Daily meditation and prayer before starting the class
Making decision based on Christian axiological principles Student Conduct during class time (Rules according to AUCA academic policy)
Attendance is mandatory
Be punctual is being responsible
Try to participate in class by askingquestions, giving inputs and comments
Avoid plagiarism
Avoid Cheating
Avoid the use of phones in class
Not leave the classroom for anyreason, unless you have an
emergency and request permission to the professor
VI.
Strategy for feedback and Student Support during the Course
The students may consult and will be supported to clarify about the topics addressed in class or about the assignments; nevertheless, the consultations should be done at the professor’s offices in Masoro Campus.
The students also can send questions and concerns through the following emails: [email protected] and [email protected]VII.
Examination
Period BREAKDOWN GRADING
Throughout the Semester
Quiz, Assignments, Group Presentations 20%
Formative Attitude: Corresponds to the observable behavior: Attendance and Punctuality, Responsibility, Participation, Honesty, etc
10%
May 20 Middle Exam 20%
June 4 Final Examination 50%
TOTAL 100%
VIII.
Course Content detailed
Session Day & Date
Time
TOPICS
Chapters (References)
1 Mon, May 11,2015 18:00 -21:00
Introduction to Quantitative Techniques and Simulation. The Quantitative Analysis Approach. Application of Mathematical Models in Business, Economics, and Social sciences.
Book 4: Chap. 1 & 2; Book 10: Chap.1; Book 12: Chap. 7 & 9
2 Tus, May 12,2015 18:00 -21:00
Descriptive Statistic and Introduction to SPSS 22. Input data, exploring, and computing statistical measures
Book 4: Chap. 6 & 7; Book 10: Chap. 7
3 Wed, May 13,2015 18:00 -21:00 Lineal programming
(Optimization) Book 2: Chap. 1 & 2; Book 7: Chap. 1, 2 & 3
4 Thu, May 14,2015 18:00 -21:00
Questionnaire design. Survey project - Reliability and validity of questionnaire.
Book 11: Chap. 3; Book 14: Chap. 15
5 Mon, May 18,2015 18:00 -21:00 Introduction to probability. Probability Distributions
Book 2: Chap. 5 & 6; Book 7: Chap. 5 & 6
6 Tus, May 19,2015 18:00 -21:00 Sampling distribution and Estimation Book 2: Chap. 8, 9 & 10; Book 7: Chap. 9, 10 & 11; Book 11: Chap. 7, 8 & 9
7 Wed, May 20,2015 18:00 -21:00 Middle Exam
9 Mon, May 25,2015 18:00 -21:00 Analysis of variance Book 2: Chap. 11; Book 7: Chap. 12; Book 11: Chap. 10
10 Tus, May 26 18:00 -21:00 Nonparametric Methods. Chi-Square, Contingency Analysis. Book 2: Chap. 16; Book 7: Chap. 17 & 18; Book 11: Chap. 11 & 13
11 Wed, May 27 18:00 -21:00 Multivariate analysis. Multiple regression and correlation Book 2: Chap. 12 & 13; Book 7: Chap. 13 & 14; Book 11: Chap. 12
12 Thu, May 28 18:00 -21:00 Logistic Regression. Time-series Analysis Book 2: Chap. 14; Book 7: Chap. 16; Book 11: Chap. 12
13 Mon, Jun 1 18:00 -21:00 Forecasting Analysis. The influence of Human Factor in Decision-Making.
Book 2: Chap. 14; Book 7: Chap. 16; Book 10: Chap. 5
14 Tus, Jun 2 18:00 -21:00 Simulation of Montecarlo Book 2: Chap. 18; Book 10: Chap. 15
15 Wed, Jun 3 18:00 -21:00 General Revision
