SCIF1000 Skills in Science
The Complete Study & Assessment Guide · T3 2026SCIF1000 Overview
- UNSW Sydney
- Term 3, 2026
- Level 1
- Satisfactory or not satisfactory
SCIF1000 Skills in Science develops the methods that let disciplinary knowledge work in real scientific settings. The course starts with interdisciplinary challenge framing: students bring different scientific perspectives into one shared question rather than dividing a broad topic into isolated pieces.
- Assessed by Quizzes, group and individual written tasks, and a presentation
- Pass conditions Meet the assessment average and tutorial attendance requirements
- Core method Make the question, evidence, inference and boundary inspectable
- Final task Present one audience specific evidence led message as a team
What you get in the full SCIF1000 Study & Assessment Guide
- 8 chapters, 46 pages — every assessed topic, week by week
- 19 original practice questions, most with model answers
- 8 worked examples, solved the way SCIF1000 marks
- 12 computed figures, redrawn from the course’s own numbers
- Before-you-submit checklist for the Pre-class quizzes (35%) — what markers reward, what costs marks
Free on this page: assessment table, chapter map, one worked example, key terms, FAQ. The rest is in the full study & assessment guide.
How SCIF1000 is assessed
| Component | Weight | Format |
|---|---|---|
| Pre-class quizzes | 35% | Individual online quizzes in Weeks 2 to 5 and 7 to 9 |
| Weekly written tasks - in class | 30% | Group tasks submitted during tutorials |
| Weekly written tasks - post-class | 20% | Individual written consolidation tasks |
| Presentation | 15% | Group and individual presentation in Week 10 |
What other students are asking about SCIF1000
- Where can I find lecture notes or study guides for SCIF1000 at UNSW?
- The SCIF1000 study guide in AskSia Library covers Skills in Science in 8 chapters, with the assessment table, a chapter-by-chapter topic map, key terms and a worked example, free to read on this page.
- Is there a final exam in SCIF1000?
- No final exam is listed in the offering this AskSia Library guide is built from; SCIF1000 is assessed by Pre-class quizzes 35%, Weekly written tasks - in class 30%, Weekly written tasks - post-class 20%, Presentation 15%.
- What does SCIF1000 cover on research questions, aims and hypotheses?
- In AskSia Library's SCIF1000 guide, the Research Questions, Aims and Hypotheses chapter explains observable variables, comparisons, predictions and falsifiable claims.
- What does SCIF1000 cover on bias, multiple testing and reproducibility?
- In AskSia Library's SCIF1000 guide, the Bias, Multiple Testing and Reproducibility chapter explains false positives, selective reporting, HARKing and transparent repair.
- What does SCIF1000 cover on finding scientific information?
- In AskSia Library's SCIF1000 guide, the Finding Scientific Information chapter explains concept blocks, database choice, Boolean logic and reproducible search records.
What SCIF1000 covers
Skills in Science follows one connected inquiry process. It begins with interdisciplinary challenge framing and testable hypotheses, examines bias and reproducibility, develops systematic search and journal appraisal, then turns that evidence into collaborative writing, visuals, oral presentation and a realistic pathway to impact.
Interdisciplinary Science and Global Challenges
Challenge framing, disciplinary lenses, shared outcomes and evidence hand offsLarge scientific challenges cross disciplinary and institutional boundaries. This chapter shows how to preserve the broad purpose of a challenge while narrowing the investigation to one decision, comparison and observable outcome.
- Broad challenges and narrow investigations
- Disciplinary lenses and missing perspectives
- Shared outcomes and decision ownership
- Defined contributions and review roles
- Claim, evidence and limitation integration
Research Questions, Aims and Hypotheses
Observable variables, comparisons, predictions and falsifiable claimsA topic is not yet a scientific question. This chapter distinguishes the broad aim from the focused question and the specific hypothesis.
- Research aims and focused questions
- Observable, testable and falsifiable hypotheses
- Independent and dependent variables
- Operational definitions and predicted graphs
- Causal language and design boundaries
Bias, Multiple Testing and Reproducibility
False positives, selective reporting, HARKing and transparent repairRepeated tests create repeated opportunities for false positives. This chapter computes the probability of at least one false positive across an independent family, then connects the arithmetic to selective reporting, HARKing and replication.
- Per-test and familywise error
- Complement probability across independent tests
- Selective reporting and the file drawer
- HARKing and exploratory findings
- Preregistration, transparency and replication
Finding Scientific Information
Concept blocks, database choice, Boolean logic and reproducible search recordsA literature search defines the evidence sample available for later synthesis.
- Concept blocks and synonyms
- Boolean operators and field choices
- Database coverage and functionality
- Precision, recall and known records
- Transparent and reproducible search logs
Reading and Appraising Journal Articles
Article structure, study design, evidence strength and bounded conclusionsJournal sections answer different reader questions. This chapter uses title, abstract, headings and conclusion for relevance, then methods and results for validity and the discussion for interpretation.
- Article sections and their reasoning jobs
- Purpose driven reading passes
- Methods, results and discussion
- Design strength and rival explanations
- Bounded claims and next evidence needs
Science Careers and Collaborative Teams
Curiosity, inclusion, defined contributions, cross review and integrationScience careers require technical knowledge to operate through questions, collaboration, communication and adaptation. This chapter turns those broad qualities into observable team behaviours.
- Curiosity as a scientific work habit
- Inclusive participation and evidence quality
- Defined roles, outputs and hand offs
- Constructive disagreement and challenge roles
- Integration, adaptation and process reflection
Writing and Visual Science Communication
Evidence led paragraphs, honest figures, uncertainty and audience decisionsScientific writing and figures should make the evidence chain easier to inspect. This chapter builds paragraphs from claim, evidence, reasoning and boundary, and organises sources around agreements, differences and gaps rather than a citation list.
- Claim, evidence, reasoning and boundary
- Source comparison and scientific synthesis
- Visual choice from the reader task
- Scale, labels, uncertainty and accessibility
- Message titles, captions and audience action
Oral Presentations and Societal Impact
Focal audiences, cohesive delivery, impact pathways and take home messagesThe final presentation must work as one group argument and as a set of strong individual segments.
- Focal audiences and decision needs
- One coherent group story arc
- Individual speaking functions and hand offs
- Evidence led impact pathways
- Timing, delivery and final file control
It then narrows that purpose into an observable, testable and falsifiable hypothesis with defined variables, a comparison and a predicted pattern. The evidence chapters show why analytic flexibility matters. Repeated testing raises the chance of at least one false positive, while selective reporting and hypotheses written after results can make exploratory findings look confirmatory.
The guide therefore treats transparency, reproducibility and honest timing as practical research skills. Searching is also presented as a method. Database coverage, Boolean logic, field choices, limits and screening decisions determine which studies enter the evidence set, so a useful search record preserves the exact query and its boundaries.
Journal appraisal then separates study design, observation, interpretation and transfer. The closing chapters turn that reasoning into scientific work with other people. They cover defined team contributions, constructive challenge, evidence led paragraphs, readable and honest figures, audience choice, concise oral delivery and a realistic pathway from research to societal impact.
Across the book, the recurring standard is simple: another person should be able to see what question was asked, how evidence was found, what the evidence supports, what it does not support and what action follows.
Worked example · free
Turn a broad topic into an observable hypothesis
- +1State the broad aim without pretending it is already testable: investigate short break environments and attention.
- +1Define the comparison and outcome: compare two break settings using change on the same timed attention task.
- +1Predict the pattern and boundary: the shaded setting will show a larger mean improvement under the specified conditions.
Key terms
- Research aim
- The broad purpose a project hopes to achieve. It guides the investigation but does not yet specify a testable prediction.
- Hypothesis
- A specific, observable and falsifiable proposition that predicts a relationship or difference under defined conditions.
- Independent variable
- The condition, exposure or predictor used to organise a comparison. Observed predictors are not automatically causal interventions.
- Dependent variable
- The response or outcome recorded to evaluate the predicted relationship.
- False positive
- A result that crosses the chosen threshold even though the tested null pattern holds.
- HARKing
- Presenting a hypothesis created after seeing results as though it had been specified beforehand.
- Reproducible search
- A literature search recorded with enough system, query, date, field and limit detail for another person to rerun it.
- Critical appraisal
- A structured judgement about how far a study design, measurement and result support a claim.
- Focal audience
- The defined group whose knowledge, authority or behaviour shapes a scientific communication choice.
- Impact pathway
- A chain linking research evidence to actors, decisions, implementation and a plausible outcome.
SCIF1000 FAQ
How is the course assessed?
The grade comes from pre-class quizzes, weekly in-class group tasks, weekly post-class individual tasks and a group plus individual presentation. The published weights total one hundred per cent.
What must I do to pass?
The Moodle syllabus requires an average of at least fifty per cent across the weighted components and attendance at least seven of the eight tutorials. The transcript result is satisfactory or not satisfactory.
What makes a scientific question testable?
A testable question identifies a system, comparison and observable outcome under defined conditions. Its hypothesis predicts a pattern that could fail rather than accommodating every possible result.
How should I document a literature search?
Record the database and platform, date, exact query, fields, filters, result count and reason for revisions. This lets another person inspect coverage and reproduce or update the search.
How do I critically appraise a journal article?
Separate the design, observation, interpretation and transfer boundary. Ask what comparison the method supports, how the outcome was measured, which rival explanation remains and where the claim stops.
How can a group make its presentation cohesive?
Agree on one focal audience, question, outcome set and take-home message. Give speakers reasoning functions in one story, write the hand-offs together and rehearse the complete argument rather than separate mini-talks.
Which tasks complete the assessment pattern?
The published assessment table lists quizzes, weekly group and individual written tasks, and a presentation. Preparation should therefore focus on continuing weekly work and the presentation requirements shown in Moodle.
Questions students ask in each SCIF1000 chapter
- How narrow should a challenge question be?
- It should be narrow enough to define an observable comparison and honest inference while retaining the broader purpose as context. Record what remains outside scope so the conclusion does not expand later. Chapter 01 · Interdisciplinary Science and Global Challenges
- What is the difference between an aim and a hypothesis?
- An aim states the broad purpose of a project. A hypothesis narrows that purpose into a specific predicted pattern involving observable variables under defined conditions. Chapter 02 · Research Questions, Aims and Hypotheses
- Why does running more tests increase risk?
- Each null test creates another chance to cross the threshold by chance. Under independence, the complement formula calculates how quickly the chance of at least one false positive rises. Chapter 03 · Bias, Multiple Testing and Reproducibility
- Why is database choice important?
- Search systems differ in disciplinary coverage, date range, indexing, field control, export and reproducibility. The same query can therefore produce a different evidence sample and conclusion. Chapter 04 · Finding Scientific Information
- Should I read a journal article from start to finish?
- Begin from your purpose. Use the title, abstract, headings and conclusion for orientation, then inspect methods and results closely wherever your judgement depends on design or measurement. Chapter 05 · Reading and Appraising Journal Articles
- Why do employers value curiosity?
- Curiosity becomes useful when it produces questions that reveal missing evidence, challenge assumptions and open a testable next step. It supports learning when the work changes. Chapter 06 · Science Careers and Collaborative Teams
- How do I avoid a source parade?
- Organise studies around a claim, comparison or disagreement. Explain how designs and outcomes affect the weight of evidence instead of listing one author after another. Chapter 07 · Writing and Visual Science Communication
- How specific should the focal audience be?
- Choose the people who can use, implement or experience the finding. A defined council team, partner organisation or scientific group guides vocabulary and evidence better than a broad public label. Chapter 08 · Oral Presentations and Societal Impact
How to prepare for the assessments
Use one challenge example throughout the term. Refine its question after the hypothesis lesson, build and save a reproducible search, appraise one strong article with a claim-evidence-limit table, then translate the same evidence into a paragraph, figure and short audience-specific explanation. This creates retrieval practice across the complete inquiry chain.
Before each quiz, define the week’s central distinctions from memory and test them on a fresh scenario. During tutorials, record why the group changed its answer rather than copying only the final response. Complete the post-class task without the group notes first, then check gaps. For the presentation, agree on the focal audience and take-home message before slides are allocated.
Rehearse hand-offs, timing and the spoken limitation with the actual file. Track the course-wide assessment average and attendance requirements separately because both matter to the final satisfactory result.
