Teaching plan for the course unit
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General information

 

Course unit name: Programming and Applications

Course unit code: 568957

Academic year: 2021-2022

Coordinator: David Moriña Soler

Department: Department of Econometrics, Statistics and Applied Economics

Credits: 2,5

Single program: S

Estimated learning time

Total number of hours 62.5

 

Face-to-face and/or online activities

22.5

	-  Lecture with practical component	Face-to-face		13.5
	-  Practical exercises	Face-to-face		9

Supervised project

20

Independent learning

20

Competences to be gained during study

 

— Capacity to carry out actuarial and financial calculations using specific software.

Learning objectives

Referring to knowledge — Identify the basic structure of an SAS program. Know the main types of files that the program works with. — Learn some of the advanced statistical procedures.   Referring to abilities, skills — Apply statistical models and techniques using commercial and open-access statistical software. — Identify the advantages and disadvantages of the main software packages.

 

 

Teaching blocks

 

1. Introduction to SAS

2. Programming in the DATA phase

3. Combining SAS datasets

4. Basic procedures in SAS

5. Matrix language in SAS

6. Case studies with SAS

7. Advanced data analysis with Excel

 

 

Teaching methods and general organization

 

The teaching method is based on two types of activities that are carried out in computer rooms: a) Theory classes, in which the basic concepts of each of the units are presented. b) Practical classes, in which the aim is for each student to learn to analyse and solve the exercises that are set, in accordance with the knowledge gained in the theoretical classes. Although these practical classes are not directed, the teaching staff provide support and help to clarify any aspects that were not necessarily explained in the theory classes. Students should also work on additional practical exercises outside of class, to gain enough confidence to work independently. The practical classes are used as a means of assessment.

 

 

Official assessment of learning outcomes

 

Students complete two continuous assessment tests, worth 50% of the final grade each. The first mid-semester exam takes place once the first half of the teaching blocks has been taught, and the second, once all blocks have been taught. The final grade for continuous assessment is the mean between the two tests.   Examination-based assessment — Final examination on the date established by the Coordination Committee. This is worth 100% of the grade. — Students who do not pass the subject have the right to repeat assessment.

Reading and study resources

Consulteu la disponibilitat a CERCABIB

Book

Cody, R.(2007) Learning SAS by Example: A Programmer’s Guide. Cary NC:SAS, Institute inc.

Catàleg UB  

Delwiche, Lora D. y Sugan J. Salughter (2008). The Little SAS book: A primer, 4 ed Cary NC:SAS, Institute inc.

Catàleg UB  

Etheridge, D. (2010) Microsoft Excel Data Analysis. Ed.Wiley

Catàleg UB  

Kleinman, K. i Horton, N.J. (2010) Using SAS for Data Management, Statistical Analysis, and Graphics. Champan and Hall. London, New York.

Catàleg UB  

Kleinman, K. i Horton, N.J. (2010) SAS and R: Data Management, Statistical Analysis and Graphics. Champan and Hall. London, New York.

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Littell, R.C., et al. (2006) SAS for Mixed Models. Cary NC:SAS, Institute inc.

Catàleg UB