International Teaching | EMPIRICAL RESEARCH METHODS

cod. 8860100008

EMPIRICAL RESEARCH METHODS

	8860100008
	COMPUTER SCIENCE
	Corso di Dottorato (D.M.226/2021)
	COMPUTER SCIENCE
	2024/2025

CURRICULUM COMPUTER SCIENCE AND INFORMATION TECHNOLOGY

	YEAR OF COURSE 1
	YEAR OF DIDACTIC SYSTEM 2024
	SPRING SEMESTER

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
	INF/01	3	18	LESSONS

PROFESSORS

CARMINE GRAVINO T Curriculum

SHEET

	Objectives
	THE COURSE PROVIDES AN OVERVIEW OF QUANTITATIVE AND QUALITATIVE METHODS OF CONDUCTING RESEARCH. IT INTRODUCES THE BASICS OF POSING RESEARCH QUESTIONS, IDENTIFYING SUBJECTS AND OBJECTS OF EMPIRICAL EXPERIMENTS, CONDUCTING STATISTICAL AND QUALITATIVE DATA ANALYSES, AND COMBINING MULTIPLE RESEARCH METHODS.

	Prerequisites
	NONE

	Contents
	- HOW TO FORMULATE RESEARCH QUESTIONS. - HOW TO CONDUCT SYSTEMATIC LITERATURE REVIEWS. - EXPERIMENTAL DESIGN. - STATISTICS FOR EMPIRICAL RESEARCH, E.G., DATA EXTRACTION, REGRESSION ANALYSIS, STATISTICAL TESTS. - EMPIRICAL QUALITATIVE METHODS AND ANALYSIS, E.G., SURVEYS, SEMI-STRUCTURED INTERVIEWS, FOCUS GROUPS, AND CONTROLLED EXPERIMENTS. - MIXED-METHOD EMPIRICAL RESEARCH

	Teaching Methods
	THE THEORY IS DEVELOPED THROUGH FRONTAL METHODOLOGICAL LECTURES (3 CFU, 18 HOURS) TO TRANSFER THE REQUIRED KNOWLEDGE AND TOOLS FOR PROJECT ACTIVITIES. AS PART OF THE COURSE, CASE STUDIES OF RESEARCH PROJECTS ARE PRESENTED TO ANALYZE THEIR STRENGTHS AND WEAKNESSES.

	Verification of learning
	LEARNING ASSESSMENT IS BASED ON AN EXAM WITH GRADES ON A QUALITATIVE SCALE. THE POSSIBLE GRADES ARE, IN DESCENDING ORDER: OTTIMO (EXCELLENT), BUONO (GOOD), DISCRETO (FAIR), SUFFICIENTE (PASS), AND INSUFFICIENTE (FAIL). THE EXAM CONSISTS OF INDIVIDUALLY DESIGNING AND REPORTING AN EMPIRICAL EXPERIMENT LEVERAGING THE METHODS SHOWN DURING THE COURSE. THE PROJECT WILL BE DISCUSSED IN AN ORAL EXAM.

	Texts
	THE LECTURERS WILL PROVIDE THE SLIDES AND TEACHING MATERIAL. EXPERIMENTATION IN SOFTWARE ENGINEERING BY CLAES WOHLIN, PER RUNESON, MARTIN HÖST, MAGNUS C. OHLSSON, BJÖRN REGNELL, ANDERS WESSLÉN RELEASED SEPTEMBER 2024 (2ND EDITION) PUBLISHER(S): SPRINGER ISBN: 978-3662693056

	More Information
	ATTENDING THE COURSE IS COMPULSORY. STUDENTS MUST ATTEND AT LEAST 65% OF THE LECTURES TO PARTICIPATE IN THE FINAL ASSESSMENT AND EARN THE CORRESPONDING COURSE CREDITS.

BETA VERSION Data source ESSE3