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Course profile

Evidence & Argument

A practical course in evaluating claims, using evidence and constructing analytical arguments.

  • Evidence
  • Writing
  • Critical Thinking
  • Assessment

Course facts

Offered byGordon Institute Open School
Academic leadGordon AI Tutor
LevelFoundation–Intermediate
FormatOnline · Self-paced
Expected study10–14 hours
LanguageEnglish
PrerequisitesNo formal prerequisites
AssessmentExercises and final assessment
RecognitionCertificate of completion
Last reviewedSeptember 2026

Overview

Public writing often fails not because facts are unavailable, but because the relationship between evidence and conclusion is weak. This course trains learners to examine that relationship directly.

Learners distinguish claims from observations, correlations from mechanisms, primary from secondary evidence and uncertainty from rhetorical confidence. Short writing exercises require each conclusion to be traceable to a source or explicit inference.

The course also supports writer and contributor assessments used within the Gordon ecosystem, including analytical roles connected to The Economy.

The course does not teach style first. It teaches the evidentiary structure that makes analytical writing credible.

Learning objectives

By the end of the course, learners should be able to:

  • identify the claim, evidence and inference in an argument;
  • distinguish descriptive evidence from causal explanation;
  • recognize unsupported generalization and selective evidence;
  • interpret charts and statistics without overstating what they show;
  • build an argument in which each major conclusion has an evidentiary basis;
  • state uncertainty and alternative explanations without weakening clarity.

Intended participants and prerequisites

Intended participants

  • aspiring analytical writers and contributors;
  • students preparing research essays;
  • professionals who review reports and presentations;
  • applicants preparing for evidence-based writing assessments.

Prerequisites

No formal prerequisites.

The course is designed for independent online study. Learners should be prepared to check assumptions, reproduce key reasoning and complete the final assessment rather than treat the material as passive reading.

Course structure

The course is organised into six units. Each unit combines concise explanation, worked examples and short analytical exercises.

UnitSubjectPrincipal questions
1Claims and evidenceWhat exactly is being asserted, and what supports it?
2SourcesHow should primary, secondary and derivative evidence be weighed?
3MechanismsWhen does an observed relationship support an explanation?
4Quantitative evidenceHow should charts, estimates and statistical claims be interpreted?
5CounterargumentsHow can alternative explanations be tested rather than ignored?
6Analytical writingHow can evidence be turned into a concise, defensible argument?

Teaching and assessment

Teaching is delivered through concise lectures, technical notes, worked examples and guided exercises. AI-supported interaction may be used to explain concepts, generate additional practice and challenge a learner's reasoning, but assessment remains based on the learner's demonstrated understanding.

ComponentPurposeWeight
Short exercisesCheck understanding of the principal concepts40%
Applied investigationUse the course framework on a new problem or dataset30%
Final assessmentIntegrated reasoning across the course30%

A certificate of completion is issued only when the required assessments have been completed at the stated standard. Participation alone does not constitute completion.

Faculty

Gordon AI Tutor

AI course tutor created by professors at Gordon School of Business at Swiss Institute of Artificial Intelligence (SIAI)

Gordon AI Tutor is designed to support structured explanation, guided questioning and practice across Gordon courses. The tutor follows course materials and assessment logic developed by faculty and is intended to supplement, not replace, academic judgment.

Materials and technical requirements

Learning environment

Learners need a current web browser and access to the Gordon learning platform. Where a course uses code, spreadsheets, datasets or external readings, the relevant requirements are identified inside the unit.

Course materials

Required readings, datasets and practice materials are identified within each unit. Public courses are designed so that required core materials can be accessed without a separate tuition charge.

Continue to the course

Enter the learning platform to access the lectures, readings, exercises and assessments for this course.