27211 - Statistics and IT
Basic Education
5.3. Syllabus
Chapter 1: Basic notions
- Introduction to Computer Science. Computer Science applications
- Hardware and software. Operating systems. Networks. Programming languages
Chapter 2: Software tools
- Spreadsheets. Data management. Goal search
- Modular and structured programming. Data structures and control structures. Procedures and functions
Chapter 3: Descriptive statistics and basic concepts in probability
- Introduction and objectives of Statistics. Applications on Chemistry
- Different types of data
- Univariate and bivariate descriptive statistics
- Basic concepts in probability and random variables
Chapter 4: Statistical inference
- Introduction to statistical inference
- Point estimation of parameters
- Confidence intervals
- Tests of hypothesis
- Nonparametric inference
- Lineal regression models
5.4. Course planning and calendar
The course includes 25 lecture classes and 35 computer lab sessions in small groups.
Lecture classes and computer lab sessions are held during the first term. Timetable is available at http://ciencias.unizar.es/web/horarios.do
End of Activity 1 and 2: mid-term test
End of Activity 3: mid-term test
Schedule of final exams is available at http://ciencias.unizar.es/web/horarios.do