Academic Year/course:
2017/18
450 - Degree in Marketing and Market Research
27647 - Quantitative Models for Marketing
Syllabus Information
Academic Year:
2017/18
Subject:
27647 - Quantitative Models for Marketing
Faculty / School:
109 - Facultad de Economía y Empresa
Degree:
450 - Degree in Marketing and Market Research
ECTS:
5.0
Year:
4
Semester:
First semester
Subject Type:
Optional
Module:
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5.1. Methodological overview
The methodology followed in this course is oriented towards achievement of the learning objectives. It favors the understanding of the different Models with Qualitative Dependent Variables. A wide range of teaching and learning tasks are implemented, such as theory sessions, Computer practices , and tutorials.
Students are expected to participate actively in the class throughout the semester.
Classroom materials will be available via Moodle. These include a repository of the lecture notes used in class, the course syllabus, as well as other course-specific learning materials.
Further information regarding the course will be provided on the first day of class.
5.2. Learning tasks
The course includes 5 ECTS organized according to:
- Theory sessions (2 ECTS): 75 hours.
- Practice sessions (1 ECTS): XX hours.
- Autonomous work (1 ECTS): XX hours.
- Tutorials (1 ECTS): XX hours.
Theory sessions: lecture notes and a series of problems (and its solutions) will be available for the students. At the end of each topic, some of the problems will be solved in class by the professor and the rest will be done individually..
Computer practices sessions: these 2-hour sessions take place every week. Students are provided with the practical exercises' instructions to be done as well as a theoretical introduction to the session's contents.
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5.3. Syllabus
The course will address the following topics:
Theory sessions
Section 1: Introduction of Models with Qualitative Dependent Variables
Section 2: Binary Choice Models
Section 3: The Multiple-Choice Models
Section 4. Models for ordered data.
Section 5: Econometric Models Based on Count Data and Duration Data
5.4. Course planning and calendar
For further details concerning the timetable, classroom and further information regarding this course please refer to the "Facultad de Economía y Empresa, Universidad de Zaragoza" website (https://econz.unizar.es/).