Research project work
Master InformatiqueParcours Data Sciences and Artificial Intelligence (UFAZ) (délocalisé en Azerbaïdjan)

Description

The course "Research Project Work" is designed to equip students with the necessary skills and knowledge to undertake independent research projects in their field of study. Through this course, students will learn essential research methodologies, project planning, and execution strategies. They will gain hands-on experience in conducting literature reviews, formulating research questions, designing experiments, collecting and analyzing data, and communicating research findings effectively.

Compétences visées

Upon completing this course, students will have acquired the following skills:
• Proficiency in research methodologies and project planning
• Ability to conduct comprehensive literature reviews
• Competence in formulating research questions and hypotheses
• Proficient in designing and executing research experiments
• Skillful in collecting and analyzing research data
• Effective communication of research findings through oral and written presentations
• Ethical awareness and adherence to research integrity principles
• Project management and time management skills for successful project completion

Syllabus

  • Research Ethics
  • Research Presentation
  • Project Management Time
  • Management Research Findings
  • Research Questions
  • Experimental Design Statistical
  • Analysis Data Interpretation
  • Academic Writing Research
  • Integrity Research
  • Communication Research
  • Planning Research Execution

Bibliographie

• Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage Publications.
• Booth, A., Papaioannou, D., & Sutton, A. (2016). Systematic Approaches to a Successful Literature Review. Sage Publications.
• Day, R. A., & Gastel, B. (2012). How to Write and Publish a Scientific Paper. Greenwood Press.
• Field, A. (2017). Discovering Statistics Using IBM SPSS Statistics. Sage Publications.
• Lipson, C. (2017). Doing Honest Work in College: How to Prepare Citations, Avoid Plagiarism, and Achieve Real Academic Success. University of Chicago Press.
• Wackerly, D. D., Mendenhall, W., & Scheaffer, R. L. (2019). Mathematical Statistics with Applications. Cengage Learning.