University of Melbourne · S1 2027 · FACULTY OF PSYCHOLOGY

PSYC10003 · Mind, Brain and Behaviour 1

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Mind, Brain and Behaviour 1

— Worked PSYC10003 revision across all four exam strands — learning & memory, behavioural neuroscience, sensation & perception, and research methods — built for the 100-item UniMelb MCQ exam.

PSYC10003 Mind, Brain and Behaviour 1 is the University of Melbourne's first-year, 12.5-credit-point foundation subject in the Melbourne School of Psychological Sciences, and it teaches the science of the human mind, brain and behaviour through experimental psychology. The content is built as four equally-weighted strands: Learning & Cognition (classical and operant conditioning, memory systems and the amnesias), Behavioural Neuroscience (nervous-system organisation, neurons and synapses, imaging and plasticity), Sensation & Perception (attention, object/motion/colour/depth perception and audition), and a self-directed online Research Methods series (constructs, design, sampling, ethics, and descriptive statistics run through JASP). The single largest piece of assessment is the final exam: a 100-item, 2-hour multiple-choice paper worth 50% of the mark, held in the University Examination period, in which each of the four strands contributes 25% (about 25 questions per area) drawn from both lectures and practical classes. The remaining marks come from a 1200-word individual written assignment (35%, submitted via Turnitin around the end of Week 9), a team-based oral presentation (10%, presented in the Week 6 practical class), and an optional Research Experience Program credit worth up to 5%. There is one hurdle — you must attend at least 80% of practical classes to pass this subject — and neither the exam nor the assignments is individually hurdled. Because the exam is multiple-choice and spreads evenly across four domains, no strand can be neglected, and the Research Methods strand is examinable even though it is delivered as self-directed modules. Book status for the exam is not stated in the subject materials, so confirm the open- or closed-book rule, the exact date and the room on Canvas and the UniMelb exam timetable. Steady work across all four strands protects your Weighted Average Mark (WAM).

PSYC10003 · University of Melbourne
An independent, AskSia-authored study guide. AskSia is not affiliated with, endorsed by, or sponsored by University of Melbourne; the course code and name are used for identification only.
Contents · the whole subject, one map

What PSYC10003 covers

MBB-1 is taught as four equally-weighted strands — Learning & Cognition (Weeks 2-4), Behavioural Neuroscience (Weeks 6-8), Sensation & Perception (Weeks 9-12), and a self-directed online Research Methods module series — delivered through twice-weekly lectures and weekly practical classes. Every strand contributes 25% of the 100-item multiple-choice final exam (50% of the mark), so the guide is ordered to march through each domain in teaching order before consolidating into exam technique. The remaining marks come from a 35% individual written assignment, a 10% team oral presentation, an optional REP credit, and a practical-attendance hurdle.

Assessment

How PSYC10003 is assessed

ComponentWeightFormat
100-item multiple-choice exam (2 hours)50%End-of-semester central MCQ exam; four core areas equally weighted 25% each (Learning & Cognition; Behavioural Neuroscience; Sensation & Perception; Research Methods); held in the University Examination period
Assignment 1 — Team-based oral presentation10%1500 words total for the team; PowerPoint slides submitted at least 1 hour before the Week 6 practical class; presented in-class in Week 6
Assignment 2 — Individual written assignment35%1200-word individual written essay submitted via Turnitin by the end of Week 9
Research Experience Program (REP)Up to 5% (optional credit)Up to 5 hours of research participation (1% per hour) OR a 1000-word alternative essay OR forego; due end of Week 12
Practical Class Attendance HurdleHurdle (0%)Attend at least 80% of practical classes; make-up work (~500 words per missed tutorial) required if not met; up to 2 classes may be missed without documentation
Worked example · free

Descriptive statistics: the standard-deviation chain on a memory-task dataset

Q [4 marks]. In a Research Methods practical you record the number of words five participants recall on a memory task: 4, 8, 10, 12, 16 words. Working the way JASP would, find (a) the mean, (b) the sum of squares SS = Σ(X − M)², (c) the variance, and (d) the standard deviation. State which measure of central tendency and which measure of variability you would report for these roughly symmetric interval/ratio data. (4 marks)
  • +1Mean. Add the scores and divide by the number of scores: M = (4 + 8 + 10 + 12 + 16) ÷ 5 = 50 ÷ 5 = 10 words. Because the data are roughly symmetric interval/ratio counts, the mean is the appropriate measure of central tendency (for a skewed or outlier-heavy set you would report the median instead).
  • +1Sum of squares. Take each deviation from the mean, square it (squaring removes the sign so the deviations do not cancel to zero), and add them: (4−10)² + (8−10)² + (10−10)² + (12−10)² + (16−10)² = 36 + 4 + 0 + 4 + 36 = 80. So SS = 80.
  • +1Variance. Variance is the average squared deviation. Treating these five scores as the whole set, the descriptive variance = SS ÷ N = 80 ÷ 5 = 16 (units are words²). If you instead treat them as a sample estimate, JASP divides by N − 1: 80 ÷ 4 = 20.
  • +1Standard deviation. SD = √variance, which returns the answer to the original units and is read as the approximate average distance of scores from the mean: SD = √16 = 4 words (descriptive). The sample SD JASP reports is √20 ≈ 4.47 words. Report the mean with the SD for these symmetric interval/ratio data (the median with the IQR when the data are skewed).
M = 10 words; SS = 80; descriptive variance = 16 (sample variance = 20); descriptive SD = √16 = 4 words (sample SD = √20 ≈ 4.47). For these roughly symmetric interval/ratio counts you would report the mean paired with the standard deviation; switch to the median paired with the IQR if the distribution is skewed or has outliers.
Sia tip — The whole chain is deviations → square → sum (SS) → divide (variance) → square-root (SD). Watch the divisor: descriptive SD uses N, but JASP's sample SD uses N − 1, so the two differ on small datasets. If you are unsure which step you missed, ask Sia to walk the SS-to-SD chain one line at a time and set you a fresh dataset — it explains the method and checks your working, it never just hands over the answer.
Glossary

Key terms

Classical (Pavlovian) conditioning
Learning a predictive relationship between an originally neutral stimulus and a biologically significant one, so the neutral stimulus (now the CS) comes to elicit a learned reflex (the CR). The core Learning & Cognition topic and a recurring MCQ trap: identify UCS, UCR, CS and CR in a novel scenario.
Operant conditioning
Learning in which voluntary behaviour is shaped by its consequences. Reinforcement (positive = add a pleasant stimulus; negative = remove an unpleasant one) makes a behaviour more likely; punishment makes it less likely. Distinguishing reinforcement from punishment is a high-yield exam distinction.
Working memory (Baddeley)
A multi-component mental workspace — central executive plus the phonological loop, visuo-spatial sketchpad and episodic buffer — that actively holds and manipulates information, contrasted with short-term memory as a passive store.
Action potential
The all-or-none electrical signal a neuron fires: at rest about −70 mV, Na⁺ influx depolarises the membrane, and if it reaches threshold (about −50 mV) the potential rises to about +40 mV before K⁺ efflux repolarises it. Stimulus strength is coded by firing frequency, not amplitude.
Opponent-process theory
The second stage of colour vision: cone signals feed three opponent channels — red–green, blue–yellow, black–white — explaining negative afterimages and why reddish-green and bluish-yellow cannot be seen. Paired with trichromatic theory at the receptor level.
Operational definition
A definition of an intangible construct (e.g. anxiety, attention) in specific, measurable terms — how it will be observed or measured in a study. The Research Methods foundation that turns a construct into a variable you can score and analyse.
FAQ

PSYC10003 FAQ

Is PSYC10003 hard?

It is broad rather than deeply mathematical. The difficulty is volume and breadth: four equally-weighted strands — learning & cognition, behavioural neuroscience, sensation & perception, and research methods — each worth 25% of a 100-item multiple-choice exam, so you cannot ignore a domain the way you might in an essay subject. The only quantitative part is descriptive statistics (mean, median, standard deviation, distributions), done conceptually in JASP, so there are no derivations to fear. Students who keep up with lectures and the self-directed Research Methods modules week by week, rather than cramming through SWOTVAC, tend to find it manageable; because it is a 12.5-credit-point first-year subject, steady work here also protects your Weighted Average Mark (WAM).

Can AI help me with PSYC10003?

Yes, as a step-by-step study aid. Sia is an AI tutor built to mirror how PSYC10003 is actually taught and assessed at the University of Melbourne: it can walk you through mapping a scenario onto UCS/UCR/CS/CR, ordering the phases of the action potential, applying the two-stage colour theory, or working a standard-deviation calculation one line at a time, and it checks your reasoning as you go. Bring your own practice question or lecture concept and ask Sia to explain each step. It does not do graded assessment for you, and University of Melbourne academic-integrity rules still apply — use it to understand the method, not to produce work you submit.

Where can I find past exam papers / practice for PSYC10003?

Start on Canvas, where the subject posts its exam-preparation material, the Week 12 revision content and any practice multiple-choice quizzes, and check the University of Melbourne Library's past-exam collection for released papers. Your practical-class activities and the self-directed Research Methods modules are the closest match to the exam's applied and JASP-interpretation items. This guide also includes a re-authored practice exam that mirrors the paper's shape — 100 multiple-choice items split evenly across the four strands — with fresh scenarios, and you can ask Sia to generate extra practice in the same style and explain each answer. Confirm what is officially provided on Canvas.

What are the PSYC10003 hurdles and assessment rules?

There is one hurdle: you must attend at least 80% of practical classes to pass this subject. Up to two classes may be missed without documentation; beyond that, make-up work (about 500 words per missed tutorial) is required. Neither the 100-item exam (50%) nor either assignment — the 1200-word individual written assignment (35%) or the team oral presentation (10%) — is individually hurdled, and the Research Experience Program (up to 5%) is optional credit. The exam's open- or closed-book status is not stated in the subject materials, so confirm it, along with the exact date and room, on Canvas and the UniMelb exam timetable.

What is on the PSYC10003 final exam?

One 100-item, 2-hour multiple-choice paper held in the University Examination period, worth 50% of the subject. The four content areas are equally weighted at 25% each (about 25 items per area): Learning & Cognition, Behavioural Neuroscience, Sensation & Perception, and Research Methods. Questions target lecture and practical-class learning outcomes; names and dates are generally not tested directly, but findings are (a stem such as “Sperling’s study of visual sensory memory found that…”), and the Research Methods block explicitly includes interpreting JASP output and descriptive statistics. The exam sits in the University of Melbourne Semester 1, 2027 examination period (around June 2027) — confirm the exact date, time and room on Canvas and the exam timetable.

Study strategy

How to study for the exam

Treat PSYC10003 as four subjects in one and rehearse all four strands weekly rather than cramming through SWOTVAC, because the 100-item multiple-choice exam splits 25/25/25/25 across Learning & Cognition, Behavioural Neuroscience, Sensation & Perception and Research Methods — neglecting one strand quietly forfeits a quarter of the paper. For each strand, build recall the exam actually tests: drill the conditioning terminology until you can label UCS/UCR/CS/CR and the four reinforcement/punishment cells in any novel scenario; sequence the action potential with its voltages; hold the two-stage colour theory and the depth-cue catalogue in memory; and practise the descriptive-statistics chain (mean/median/mode, SS → variance → SD, and reading JASP output). Do not skip the self-directed Research Methods modules — they are examinable and often the most learnable 25%. Because names and dates are not tested directly but findings are, revise each classic study as “what did it find and what does that show,” not as a date to memorise. Use practice multiple-choice questions to train distractor elimination and pace yourself at about 25 items per area. When a concept won’t click, ask Sia to explain that single step a different way and set you a fresh practice item in the same style; it teaches the method and checks your reasoning, and it never substitutes for your own graded work. Confirm the exam date, room and open/closed-book status on Canvas and the University of Melbourne exam timetable.

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