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  • Généralités

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    • Contact Sheet

      Course Instructor: Dr. Belgacem Habiba

      Contact : habiba.belgacem@univ-saida.dz

      Course Title: Work Methodology and Terminology

      Unit: UET (Transversal Teaching Unit)

      Coefficient : 01

      Credits: 02

      Total Teaching Hours: 23 hours + 45 hours of personal work

      Required Personal Work per Week: 1 hour 30 minutes

      Assessment method: Continuous assessment


    •  TD  Presentation
      This subject aims at learning methods and practices that the student needs throughout their university course as they are essential for their success. High school education has allowed them to acquire knowledge, while university education encourages them to participate in the creation of knowledge. The main objective of this subject is to train students to develop their autonomy in university life and professional life, especially in written and oral expression techniques (reports, summaries, use of modern communication tools), as well as in the practice of a foreign language.

      At university, students are required to extensively research, read, and write. The goal is not to mechanically reproduce established knowledge but to structure knowledge based on relevant, valid, and reliable sources and to develop critical analysis skills. Indeed, this data should only be used if its origin is cited to avoid plagiarism associated with copy-pasting. Additionally, in this subject, a range of biology terminology is provided to further familiarize students with the scientific jargon that will be used during their university journey.



    • TD  Objectives

      The primary objectives of the "Study Methods and Terminology" module are:

      -          Smooth Transition to University: Aid first-year students in adapting to the university system, facilitating a seamless integration into the academic environment.

      -          Synthesis Methodology Mastery: Develop proficiency in synthesis methodologies, encompassing effective note-taking, articulate public speaking, and the cultivation of consistent and efficient personal work habits.

      -          Knowledge Utilization Skills: Acquire and hone skills related to the effective utilization and exploitation of knowledge. This includes mastering techniques for conducting thorough documentary research, understanding the proper use and citation of sources, adhering to the standards for crafting scientific reports, and delivering compelling presentations of academic work.



    • Prerequisites

      •  The general structure of a scientific report
      •  Documentary research techniques
      •  Knowledge of Terminology: A grasp of specific terms and concepts relevant to the field of study, ensuring effective communication within the academic context.



    • Prerequisite Testing :

      What is the structure of a lab report?

      What is the structure of an Article?


    • final exam Forum
      Hello, we inform you that you have a final exam for this module and that you must enter the exam area and take it as soon as possible.
    • Students who have not yet taken the final exam are required to do so as soon as possible. Otherwise, a grade of 0 will be assigned to them.
    • TD 01 A key of academic succes Page

      This TD Sheet N° 01 is directed to first-year biology students, Common Core, and talks about the foundations and pillars of academic success

    • TD 02 Page

      Vaccine risks of Covishield, the Indian version of AstraZeneca’s COVID-19 vaccine,

    • TD 03 Page

      Scientific research method

    • TD N04 Page

      The text given here translates the entire section of the Nuremberg Trials containing the "Nuremberg Code." The translation was made from the original English text of the Trials… 9.

       


    • TD 05 Page

      Research Process ,Design and Problem






    • TD 06 Page


      Examples of Sampling Related to Obesity, Vitamin D Deficiency, and Type 2 Diabetes

    • TD07 Page

      This TD focuses on equipping students with the knowledge and skills required to select, design, and utilize various data collection tools effectively in research. Students will explore the principles, characteristics, and applications of tools such as questionnaires, interviews, schedules, observation techniques, and rating scales. They will critically assess the advantages and limitations of these tools, enabling them to align their selection with specific research objectives. By the end of the TD, students will be able to design appropriate tools, apply them in data collection processes, and analyze the effectiveness of these tools in generating reliable data.

    • TD 08 Page

      IMPORTANCE OF DATA ANALYSIS IN BIOLOGICAL RESEARCH

    • TD 09 Page

         Research Report

  • TD 07 Tools of Data Collection

    • Text chat
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      This chat talks about tools of data collection

    • Tools of collection data Chat
      Les étudiants doivent
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  • Section 2

    • Home Work Devoir
      Ouvert le : mardi 3 décembre 2024, 00:00
      À rendre : mercredi 25 décembre 2024, 00:17

  • Section 3

    • EXAMEN FINAL Test
      Ouvert : mercredi 18 décembre 2024, 08:00
      Terminé : mardi 21 janvier 2025, 20:08

      Dans ce  test,vous devez choisir la bonne réponse,il est possible que plusieurs réponses soient correctes.


    • Refrencing :

       -Berrebeh J. (2013) Méthodologie d’un mémoire de recherche. FSEG Nabeul.

      Grimsby Institute of Further and Higher Education. (2014/2015). Definitiv Guide to Harvard Referencing and Bibliographies. Version 6

       - Khotari C.R. Reshearche Methodology (methods and techniques).  NEW AGE INTERNATIONAL (P) LIMITED, PUBLISHERS4835/24, Ansari Road, Daryaganj, New Delhi – 110002

       -Patel M., Patel N. (2019). Exploring research methodology: review article. International Journal of Research and Review. 6(3):48-55.

       - Uzuegbu, C.P. & Onyenachi, J.C. (2015). Bibliographic Citation and referencing methods. In Ahiaoma Ibegwam, Fundamentals of library and   information science education (pp. 97-120). Ibadan, Nigeria: Stirling-Horden

      - Jones, R., & Smith, T. (2022). "Endocrine Disruptors and Thyroid Health." Journal of Environmental Toxicology.

      - Lee, H. et al. (2023). "BPA Exposure in Urban Populations." International Public Health Reports.

      -Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.).

      This book is widely used for teaching statistical concepts in biology and offers in-depth guidance on using statistical tools like SPSS and R.

      Link: Sage Publications

      - Kitsantas, A., & Dabbagh, N. (2009). Learning in Web-Enhanced Environments: The Role of Data Analysis in Biology Education. Educational Technology Research and Development, 57(4), 617-635.  DOI: 10.1007/s11423-008-9115-3

      This paper discusses the integration of data analysis tools into biology education and the role of technology in improving student engagement and understanding.

       - Zar, J. H. (2010). Biostatistical Analysis (5th ed.).

      This is an excellent resource for understanding advanced statistical methods applied in biological research. It provides real-life examples of statistical tests commonly used in biology.

      Publisher: Pearson Education.

      - McDonald, J. H. (2014). Handbook of Biological Statistics (3rd ed.).

      A comprehensive guide that provides examples and step-by-step instructions on performing statistical tests, including t-tests, ANOVA, and regression in biology.

       Link: Handbook of Biological Statistics

      - Pallant, J. (2020). SPSS Survival Manual (7th ed.).

      This is a useful book for students learning to use SPSS for data analysis in biological research, offering clear guidance on statistical tests and interpreting outputs.

       Link: SPSS Survival Manual

        Educational Videos and Resources

        CrashCourse Statistics

        A YouTube playlist that covers the basics of statistics, including hypothesis testing, probability, and data visualization.

        Link: CrashCourse Statistics YouTube Playlist

        Khan Academy - Statistics and Probability

        A great resource for learning the fundamentals of statistics, with numerous videos explaining concepts like mean, variance, hypothesis testing,     and more.

       Link: Khan Academy - Statistics and Probability

       Data Science and Statistics: R Programming for Biology by Stanford University

       A course designed for biologists interested in using R for statistical analysis and data visualization in biological research.

       Link: Stanford University - Data Science and Statistics

       StatQuest with Josh Starmer

       StatQuest offers clear and concise explanations of statistical concepts, including tests like ANOVA, regression, and p-values, making complex   topics easy to understand.

      Link: StatQuest YouTube Channel

      Coursera - Biostatistics in Public Health

      An online course that covers biostatistics in the context of public health and biology, including how to conduct statistical analysis on biological data.

      Link: Coursera Biostatistics Course