Quantitative methodology courses provided under CAST during 2015-2016 school year are published below.
The offering is collected from the teaching schedules of the versatile degree programmes in the university and CAST.
The arrangements of each course is taken take of by each degree programme or school organizing the event.
The listed courses may have requirements or recommendations for preceding studies which are described in the curricula guides. This additional information should be explored beforehand. Assignments to the courses happen according to the information given in the teaching schedule. The applicability of a course to one's own degree programme has to checked by the each school or HOPS supervisor.
See overview of additional statistical and quantitative method -events at University of Tampere on page http://www.uta.fi/cast/education.html
Recommended time of study in the first year of the programme.
Note: since the course starts exeptionally on Tuesday 1.9 it formally ends on Tuesday 22.12, however last lecture is on Thursday 17.12.
List of modes of study:
* Participation in classroom work
* Exercise(s)
* Assignment
Enroll before the first lecture.
The course is part of University of Tampere Summer School 2015.
Please see the teaching timetable and lecture rooms (PDF) at: http://www.uta.fi/admissions/summer_school/courses.html.
Modes of study
- Lectures
- Exercises (independent work)
- Exam
Please fill in the form before the first lecture. After this contact the lecturer.
Please fill in the form before the first seminar session.
Recommended during the second year of study in the bioinformatics programme. Prerequisites: BIO2200 Introduction to computational biology, BIO4440 Basic biological data analysis with R & BIO4450 High-throughput data analysis or equivalent prior knowledge in the field.
Recommended time of study in the first year of the programme.
Note: since the course starts exeptionally on Tuesday 1.9 it formally ends on Tuesday 22.12, however last lecture is on Thursday 17.12.
Enroll before the first lecture.
The course will have 9 hours of contact teaching. The rest of the course is conducted on-line in Moodle.
Max 25 students. Priority is given to the students of the MDP in Peace, Mediation and Conflict Research and MDP in Global and Transnational Studies.
Modes of study
- Lectures
- Exercises (independent work)
- Exam
Please fill in the form before the first lecture. After this contact the lecturer.
Please fill in the form before the first seminar session.
The course mainly focuses on multivariate methods of data analysis. By the term multivariate methods we mean those techniques that are used to analyze data with more than one variable. Each lecture is divided in two parts. The first part teaches the theory behind a statistical test. We use fun and real-life examples to make the teaching of the theory as pleasant as possible. The second part takes place in a LAB where students will practice working with survey data using SPSS. Upon completion of the course students will know how to use descriptive statistics to analyze their data and also to conduct different types of statistical analysis e.g. correlations, simple and multiple linear regressions, regressions with dummies, regressions for categorical response variable etc. No prior knowledge in data analysis or SPSS is needed to successfully complete this course.
Modes of Study: Participation and a final exam divided in two parts. In the first part, students will have to take a multiple choice test. In the second part, students will have to perform an analysis using SPSS.
Course in North American Studies: NAM-VII Methodology
Course in North American Studies: NAM-VII Methodology
Please fill in the form before the first seminar session.
Recommended during the first year of study in the bioinformatics Master's degree programme. BIO2200 and BIO2310 or equivalent knowledge required as a prerequisite.
List of modes of study:
* Participation in classroom work
* Exercise(s)
* Assignment
Course in North American Studies: NAM-VII Methodology
Please fill in the form before the first seminar session.
BIO2200, BIO2310 and BIO4440 or equivalent knowledge required as a prerequisite.