資訊系統博士學位課程是一個跨學科的研究方向,旨在利用以人為本的方法開發最先進的技術。本課程使學生能夠在數據工程與科學學院關鍵研究領域進行前沿創新,即:社交媒體研究、創造力研究和多模態研究。從這個角度來看,本博士課程的主要研究課題是人工智能、機器人、社交媒體和藝術等技術領域。
在3-5年的課程中,資訊系統博士學生持有全日制學生身份。
本學位的課程主任是Adérito Fernandes Marcos。
學生需在第一年完成課程部分,課程部分由以下5個科目組成:
- 調查方法論
- 定量研究方法和技巧
- 定性研究方法和技巧
- 綜合研究研討會
- 專業學習和閱讀計劃
在第一學年,學生還必須準備論文開題報告。進入論文撰寫階段前,必須完成所有課程,並獲得大學批准。
博士生直接在學術導師指導下獨立完成一項原創且重要的研究項目。其擬議工作和督導安排獲得大學批准後,學生便可開始撰寫論文。
入學資訊 >
申請人在報名時需遞交初步論文計劃,可以從此處選擇一個計劃或於報名時提交自己的論文計劃。
課程批示(中葡版本)(請按此處)(請點擊頁面左上角的 P2 及 P3 查閱有關內容。)
請點擊以下科目名稱瀏覽其課程簡介
Modules
Year 1
This module will start with an introduction to the historical foundation of the scientific method, the main philosophical currents that have shaped scientific thinking, and how modern science operates. The module will then provide an overview on the different research designs and methodologies adopted in various fields of knowledge. A final emphasis will be given to techniques of academic writing, publication, and scientific communication.
This module provides an overview of methods and techniques for quantitative research, including the concepts and practical applications of descriptive and inferential statistics, with the aim to motivate the students to build skills in data collection and analysis for their Ph.D. research. The topics covered include general concepts such as sampling strategies, evaluations of reliability and validity of data, and the connection between the research question/hypothesis definition and quantitative data analysis. Different types of statistical tests and techniques are presented and computational tools (Excel, R, and SPSS) are used in practical workshops.
This module enables students to plan and conduct qualitative research studies. The module introduces instrumentation for data collection, including interviews, observation, and reflection on practice. For qualitative studies, it considers matters of researcher bias, sampling, piloting, reliability and validity in the conduct of research, operationalizing research questions; the politics and micro-politics of research; insider and outsider research. This module also aims to enable students to analyze and interpret and present the results of different kinds of qualitative studies.
This module aims to introduce participants to key elements of doctoral research in the broad sense of an Academic framework. It focuses on providing an understanding of the research support Mechanisms at USJ and in overviews of the main research specialisation fields within the University of Saint Joseph, namely Business Administration; Education; Global Studies; Government Studies; History; Information Systems; Psychology; Religious Studies; Science. The course also provides an opportunity for the students to present and discuss their own work in a seminar environment.
This Module provides an initial experience of supervised research work where students will work with their intended supervisor in a collaborative tutorial model that resembles the practice of Thesis Supervision. During the Module the intended supervisor will guide the student trough multiple meetings (up to 15) during a full academic year The students will conduct autonomous research that should result in a preliminary literature review, research contextualisation and a thesis proposal completely finished and prepared to be submitted to the Foundation Year Final thesis proposal review and assessment instances.
This is the major part of doctoral student’s studies. Working directly under an academic supervisor, the student independently completes an original and significant research project. Students cannot start their thesis until the work proposed and supervisory arrangements have been approved by the university.