With this function you can construct your weekly calendar of lessons, which is customized on the basis of the courses that you intend to follow.
Warning: the personal schedule does not replace the presentation of the study plan! It's an informal tool that can help you better manage the organization of class attendance before the study plan presentation.
After the study plan presentation we recommend you to use the Lecture timetable service in your Online Services.
To create your customized schedule follow these instructions:
- Click on the "Enable" link to proceed. You will be asked your surname and first name in order to determine your alphabetic grouping.
-
To add or remove courses from your personal schedule, use the small icons which are found next to the courses:
 addition of the course removal of the course selection of the section of the Laboratory of Architecture
(Note: the effective area in which the teaching will be carried out will be determined after the presentation of the Study Plans)
-
The sidebar on the left displays the number of lessons included in schedule.
There are also these commands:
 View the schedule: allows the viewing of the weekly synoptic schedule Delete the schedule: cancels the selections made
When you have finished the entry, you can print the calendar you have made.
| Semester (Sem) | | 1 | First Semester | | 2 | Second Semester | | A | Annual course | Educational activities | | C | Similar or integrative activities | Language |  | Course completely offered in italian |  | Course completely offered in english | | -- | Not available | Innovative teaching |  | The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
- Subject taught jointly with companies or organizations
- Blended Learning & Flipped Classroom
- Massive Open Online Courses (MOOC)
- Soft Skills
|
|
|
Academic Year
|
2018/2019
|
|
School
|
School of Industrial and Information Engineering
|
|
Name
|
(Master of Science degree)(ord. 270) - BV (479) Management Engineering
|
|
Track
|
DBM - DIGITAL BUSINESS AND MARKET INNOVATION
|
|
Programme Year
|
2
|
|
ID Code
|
051112
|
|
Course Title
|
INTRODUCTORY ECONOMETRICS
|
|
Course Type
|
Mono-Disciplinary Course
|
|
Credits (CFU / ECTS)
|
5.0
|
|
Semester
|
First Semester
|
|
Course Description
|
This course covers empirical strategies aimed at answering economic research questions. The course illustrates several applied econometric models, and develops the skills needed to plan and carry on empirical research projects. Since most applied economic research examines questions with direct policy or managerial implications, this course will clarify the difference between correlation and causal links. Purely predictive methods, grounded in correlation and regression analysis will be presented and compared with alternative estimation techniques (such as instrumental variables) more focused on the analysis of causal effects. The goal of the course is to provide valuable econometric tools for students majoring in several fields, from finance to micro/macro/international/industrial economics and management. The agenda includes regression, instrumental variables, differences-in-differences, probit, logit, tobit, survival analysis.
|
|
Scientific-Disciplinary Sector (SSD)
|
|
Educational activities
|
SSD Code
|
SSD Description
|
CFU
|
|
C
|
SECS-P/05
|
ECONOMETRICS
|
5.0
|
|
| Schedule, add and remove | Alphabetical group | Lecturer(s) | Language | Teaching Assignment Details |
|---|
| From (included) | To (excluded) |
|---|
| --- | A | ZZZZ | Mosconi Rocco Roberto | |  |
|
|
Details 
Class schedule planning