Lectures related to Argumentation scheme

Mean-field argument B

Covers the mean-field argument in computational neuroscience, focusing on predicting activity in a stationary mean-field.

Research Project Planning: Global Migration and Cultural Exchange

Covers planning a research project, globalization, cultural exchange, and global migration impact.

Writing a Paper: Recommendations and Guidelines

Offers ten recommendations for effective paper writing, focusing on research, organization, and citation formatting.

Refining Your Argument: Requirements for Final Draft

Covers the requirements for the final draft of a paper.

Applied Corporate & Industry Analysis: SWOT Analysis & Real Business Situations

Explores SWOT analysis in real business scenarios and presents a case study on IBM's strategic decision.

Writing a Paper: Key Recommendations and Strategies

Outlines key recommendations for writing a paper effectively, focusing on topic selection, bibliography, and structuring arguments.

Neuronal Dynamics: Random Networks

Explores the dynamics of neuronal populations, emphasizing random networks and mean-field arguments for connectivity.

Debate Preparation: Structure and Research

Covers the structure and research process for debate preparation.

How to Read a Research Article in Social Sciences

Teaches students how to read research articles actively and efficiently in social sciences, emphasizing engaging with the argument and evidence.

Essay Writing: Structure and Citations

Explains the structure of an essay, proper citations, and collaboration in writing.

Real Analysis: Sequences and Limits

Covers real sequences, induction, limits, and convergence in mathematical analysis.

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Valid Arguments: Understanding Propositional Logic

Explains how premises imply conclusions using inference rules and truth tables in propositional logic.

Assignments and Evaluation

Covers the logistics of assignments and evaluation for the course.

Neuronal Dynamics: Aims and Challenges

Explores the aims and challenges in computational neuroscience, focusing on neuronal dynamics of cognition and mean-field arguments.

Construction of Quotient Rings

Explores the construction of quotient rings and the properties of well-defined operations within rings.

Cortical populations: Neuronal Dynamics

Explores population activity, cortical populations, connectivity, and orientation tuning in the visual cortex.

Stationary Mean-Field: Neuronal Dynamics

Explores the stationary mean-field concept in computational neuroscience to predict neuronal activity based on population and single neuron firing rates.

Mean-field Argument: Asynchronous Activity

Explores stationary asynchronous activity in neuronal populations and the mean-field argument.

Lambda Functions in Java

Explores lambda functions in Java, showcasing their use through examples like the 'PrintAll' class.