SOFTWARE AND STATISTICAL ANALYSIS
SOFTWARE E ANALISI STATISTICA
A.Y. | Credits |
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2023/2024 | 4 |
Lecturer | Office hours for students | |
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Desire' Carioti | Thursday 3-4 pm (to book via e-mail) |
Teaching in foreign languages |
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Course with optional materials in a foreign language
English
This course is entirely taught in Italian. Study materials can be provided in the foreign language and the final exam can be taken in the foreign language. |
Assigned to the Degree Course
Date | Time | Classroom / Location |
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Date | Time | Classroom / Location |
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Learning Objectives
Acquisition of theoretical and practical knowledge for managing databases and software for data analysis. At the end of the course, the student should be able of creating autonomously a dataset, manage variables, and, after uploading it on statistical software, running descriptive analyses.
Program
The program will be organized as following:
Bridging Courses
Nothing.
Learning Achievements (Dublin Descriptors)
- Knowledge and understanding: having acquired the fundamental concepts of Boolean logic and their application in Excel and statistical software. Having acquired knowledge regarding data science.
- Applying knowledge and understanding: having acquired the ability to manipulate variables and create a dataframe, managing it on the main software studied.
- Making judgments: having acquired the ability to use knowledge and concepts to describe the results of the main descriptive statistics used in the psychological field.
- Communication skills: having acquired the specific language for describing the variables and results of descriptive statistics in the psychological field.
- Learning skills: Upon completion of the course the students should have acquired good autonomy in the management and manipulation of the variables within a dataframe. They should also have to be autonomous in the interpretation of descriptive statistics and graphs.
Teaching Material
The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it
Supporting Activities
Nothing
Teaching, Attendance, Course Books and Assessment
- Teaching
Lectures and practical lessons on PC. It is advisable to come to lessons with your own PC.
- Innovative teaching methods
Debate
Problem Solving
- Attendance
no attendance requirement
- Course books
Pastore, M. (2015). Analisi dei dati in psicologia. Il mulino. ISBN: 978-88-15-25898-4. (Cap. 1-2-3)
- Assessment
The student will have to complete the first part of the exam through individual exercises and answer some theoretical questions in writing during the regular session.
- Disability and Specific Learning Disorders (SLD)
Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.
To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.
Additional Information for Non-Attending Students
- Teaching
Lectures and practical lessons on PC.
- Attendance
no attendance requirement
- Course books
Pastore, M. (2015). Analisi dei dati in psicologia. Il mulino. ISBN: 978-88-15-25898-4. (Cap. 1-2-3)
- Assessment
The student will have to complete the first part of the exam through individual exercises and answer some theoretical questions in writing during the regular session.
- Disability and Specific Learning Disorders (SLD)
Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.
To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.
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