Mediation, Animation, Communication, Culture, and Teaching in Life and Earth Sciences (MédiACCES)

General linear models with one or more random explanatory variables: from translating the figure that answers the biological question to the statistical model, i.e., taking into account numerous effects and knowing how to interpret them.

General properties viewed through regression and one-factor ANOVA (R2, F, ddl, least squares, likelihood, diagnosis, validation, goodness of fit, interpretation of effect sizes); nested and crossed factor ANOVA, multiple regression (concept of parameters and effects, and interaction)

incorporation of the dependence of explanatory random variables, confounding effects (quantitative for multiple regression, and unbalanced designs for ANOVAs)

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The overall objective is to consolidate the foundations in ecology acquired by students and to give them the tools they need to apply them in an integrated way to interpret the functioning of ecological systems. The course includes: 1) lectures on ecological concepts from the population scale to the macroecological scale, using examples of applications that place the discipline in the current ecological and societal context; 2) practical and supervised work focused on tools (sampling strategies, modeling, data analysis); 3) field teaching, during which students are encouraged to ask relevant scientific questions based on their observations in the field and to use their knowledge to answer them in a reasoned manner.

Summary of EU content:

- CM: History of the emergence of concepts in ecology; Population dynamics/metapopulations; Biotic interactions and food webs; Community ecology, metacommunities; Ecosystem ecology/functional ecology; Concepts of macroecology/biogeography; Global change and ecosystem functioning;

- Field: Integrative analysis of ecosystem functioning in situ;

- TD/TP: sampling and experimentation strategies in ecology; modeling in population dynamics/metapopulations, community ecology/metacommunities, food webs; biodiversity measures (alpha, beta, etc.).

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The overall objective is to consolidate students' foundations in evolutionary biology by addressing both (i) macroevolutionary phenomena and the general methods used to analyze them, and (ii) microevolutionary processes with an emphasis on the population genetics approach. This course unit aims to provide a solid foundation of knowledge in evolutionary biology and to illustrate the applications of the discipline to students' future areas of specialization. The course includes: 1) lectures on the concepts of evolution; 2) practical work in two main forms: 2a. sessions focused on the use of tools (phylogeny) and the mathematical formalization of evolutionary processes (population genetics); and 2b: sessions built around group work, allowing students, depending on their background and professional goals, to explore a particular topic in depth (fundamental question or application of evolutionary biology).

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English tutorial courses aimed at developing professional autonomy in the English language.

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This teaching unit is part of a pre-professionalization program. It aims to encourage students to think about their career plans through meetings with professionals in the field of science communication, involvement in science communication projects at the interface between the worlds of research and secondary education (helping middle school classes to carry out projects on environmental education and sustainable development), and analysis of projects developed by Master's 2 students.

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Generalized linear mixed models + methodology and experimental protocols to account for biological reality: non-normal distribution and pseudo-replication

Protocol optimization, power, and uncontrolled type I risk: variable transformation, polynomial regression, link function, likelihood, model selection

Deviance and goodness-of-fit analysis

Incorporation of blocks, repeated measurements over time, consideration of spatial and temporal correlation, over-dispersion

Graphical representation of predictions.

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The objective of this course unit is to provide the necessary statistical foundations for following the more advanced modules in the curriculum; it is therefore a general refresher course. Descriptive statistics are reviewed (quantiles, cumulative frequency polygons, sample estimators), simple tests are presented, essential graphs for univariate and multivariate data are presented, and the general principle of a statistical test, hypothesis testing, the concept of p-value, and Type I and Type II errors are presented. In practical work, students are also brought up to speed in the R environment.

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The individual M1 internship lasts approximately three months and, depending on the program, must be completed in a research laboratory or a non-academic organization. It allows students to gain professional experience in the field of biodiversity, evolution, or ecology. It can be carried out in a local, national, or international organization, on a topic approved by the teaching team so as to fit in with the objectives specific to the program followed by the student.

Assessment: Preparation for the internship is assessed on the basis of a written document and a presentation of the internship project. The internship work is assessed during a public presentation before a panel, during which the content of the dissertation and the quality of the responses to the panel's questions are evaluated. The student's behavior and enthusiasm during the internship are assessed by the internship supervisor.

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Mediation (scientific or otherwise) increasingly relies on digital tools for disseminating information, which make it possible to reach a wide audience very quickly. These tools are numerous and diverse, and it is difficult to provide a simple overview of them all. Nevertheless, the vast majority of job and internship offers in the field of mediation require knowledge of how to use these digital mediation tools.

The aim of this course unit will therefore be to present the main digital mediation tools and introduce students interested in scientific mediation to their use. The course unit will also provide an opportunity to discuss the importance of sourcing and verifying data at a time when falsehoods and even lies are becoming increasingly prevalent.

The first part of the course will take the form of tutorials/practical sessions covering the main digital tools used in science communication. Examples posted online by various communication organizations will be analyzed in order to identify their strengths and weaknesses.

The second part of the course will focus on practical application. Students will visit scientific outreach organizations (temporary or permanent) and will be required to write reports using digital scientific outreach tools. In particular, one of the reports will focus on the scientific activities of the Biology and Ecology Department and will be posted on the department's website.

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Teaching unit aimed at linking theoretical ecology, its operational implementation, and territorial issues as seen by societal actors. Built on a format combining theoretical courses covering the elements necessary for understanding field issues (ecosystem dynamics, anthropization, socio-ecosystem resilience, in situ conservation, etc.), this teaching unit includes several field blocks (each consisting of a preparatory tutorial/practical and an "active" field trip). The territories visited will provide an opportunity to meet members of society (managers, elected officials, associations, shepherds, etc.) whose position allows us to understand how ecological issues govern their actions and how, in turn, their actions impact biodiversity, its dynamics, and its distribution.

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How is biodiversity distributed across the Earth? What ecological, evolutionary, and historical factors determine these patterns of biodiversity distribution? What changes have human activities brought about in the global distribution of biodiversity? In this course, we will study the role of spatial and temporal variations in the environment on a global scale on the dynamics of biodiversity. In particular, we will examine the influence of long-term climate cycles on the past and present diversity of organisms. We will also address the impact of human activities and global changes on biodiversity on a planetary scale.

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This module presents table management and the link between multivariate and univariate analysis: matrix manipulation and common operations; the concepts of projection and distance; translation of descriptive and univariate statistics using multiple regression/ACP/AFD as examples; indices of (dis)similarity, distance; correlation.

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The EU's objectives are twofold. On the one hand, it aims to retrace all the major stages in the history of organisms on Earth since its birth. Topics such as the emergence of life, the colonization of continents, the emergence of angiosperms, glacial/interglacial cycles, and the domestication of plants will be addressed. Secondly, it aims to show how paleoecology fits into the modern world, whether in terms of methodological developments (geochemistry, optical microscopy, electron microscopy, X-ray microscopy, etc.), climate change prediction models, ecosystem management in the context of global change, or developments in biotechnology.  The EU will mainly be organized into lectures (TD), each given by a specialist in the subject.

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The objective of this course is to consolidate students' foundations in ecology and/or evolution by inviting them to define a research topic and question(s), formulate relevant hypotheses with supporting arguments, and justify a data acquisition and analysis strategy for testing them.

Summary of EU content:

- Independent work under supervision: identification of a relevant scientific question; bibliographic review to establish the state of the art and justify scientific hypotheses; proposal and justification of a methodological approach (materials and methods) to test the proposed hypotheses.

Types of topics:

Topics may cover any issue identified by students (in groups of 3/4) and approved by the teaching team, and may be based on different approaches to suit the requirements of different courses. For example, students may propose a field sampling or experimentation strategy, a meta-analysis of literature data, an analysis of sequences retrieved from GenBank, an analysis of occurrence data retrieved from GBIF, etc.

In all cases, projects must involve a genuine data acquisition strategy, identified, justified, and described by students in the materials and methods required for M1S2, with a provisional schedule for the project and identification of the tasks that each student will carry out within each group as part of the implementation of the project in M2S3. Projects must also be financially realistic and include a provisional budget, and must be able to be completed within the time available in M2S3.

Assessment methods:

Teaching is based on a problem-based learning approach. Students are assessed on how they progress in developing their approach (40% of the final grade), as well as on their ability to present and defend their project in a final oral exam (60% of the final grade).

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The objective of this EU is to enable the implementation of projects defined within the framework of the M1S2 EU project.

Summary of EU content:

- Independent work supervised by student groups: readjustment of project objectives and methodology if necessary, data acquisition, ecological and/or evolutionary analyses and interpretations according to the provisional schedule defined in M1S2, presentation of results at a joint symposium for the different courses.

Assessment methods:

As with the EU M1 project, the EU uses a problem-based learning approach. Students are therefore assessed on an ongoing basis on their progress in completing their project (40% of the final grade), then at the end of the semester on their ability to present the results of their project and discuss them during an oral presentation at a general feedback symposium (60% of the final grade).

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"Teaching takes the form of an interdisciplinary project (biology-ecology-geology) combining fieldwork, bibliographic studies, meetings with professionals or resource persons, and scientific mediation. The objective is to produce a comprehensive scientific study of a territory, linking the bio-ecological-geological characteristics of the area with its economic, social, historical, and/or heritage specificities. Students work in small groups (usually 2; 3 maximum), under the supervision of a tutor. They must produce a written report (similar to a scientific mediation paper) and a one-day field session, tested with a group of students and teachers. "

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Teaching takes the form of a project based on a primarily bibliographic approach. It involves a study of epistemology and the history of science focusing on the work of a scientist in the fields of Life Sciences or Earth and Space Sciences. Students must highlight the key points of the scientist's work, placing them in the scientific, historical, and political context of their time, highlighting advances and controversies, contributions to science, and interests in scientific mediation. At the end of their work, carried out under the supervision of a tutor, students produce a written thesis, a poster, and an oral presentation.

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The individual M2 internship lasts approximately 5 to 6 months and must be carried out, depending on the course concerned, in a research laboratory or a non-academic organization. It allows students to gain in-depth professional experience in the field of biodiversity, evolution, or ecology. It can be carried out in a local, national, or international organization, on a topic approved by the teaching team so as to fit in with the specific objectives of the program followed by the student.

Assessment: The internship is assessed during a public defense before a jury, during which the content of the thesis and the quality of the responses to the jury's questions are evaluated. The student's behavior and enthusiasm during the internship are assessed by the internship supervisor.

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The objective of this EU is to support students in finalizing their professional projects and preparing for life after their master's degree.

The EU is organized on a course-wide basis, with regular discussion sessions between the teaching team and students.

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