Skip to main content
 

MATH1597: Probability I

Please ensure you check the module availability box for each module outline, as not all modules will run in each academic year. Each module description relates to the year indicated in the module availability box, and this may change from year to year, due to, for example: changing staff expertise, disciplinary developments, the requirements of external bodies and partners, and student feedback. Current modules are subject to change in light of the ongoing disruption caused by Covid-19.

Type Open
Level 1
Credits 10
Availability Available in 2023/24
Module Cap None.
Location Durham
Department Mathematical Sciences

Prerequisites

  • Normally, A level Mathematics at grade A or better and ASlevel Further Mathematics at grade A or better, orequivalent.

Corequisites

  • Calculus I (Maths Hons) (MATH1081) or Calculus I (MATH1061)

Excluded Combinations of Modules

  • Mathematics for Engineers and Scientists (MATH1551), SingleMathematics A (MATH1561), Single Mathematics B (MATH1571) may not be taken with or after thismodule.

Aims

  • This module will give an introduction to the mathematics of probability.
  • It will present a mathematical subject of key importance to the real-world ("applied") that is nevertheless based on rigorous mathematical foundations ("pure").
  • It will present students with a wide range of mathematical ideas in preparation for more demanding and specialized material later.

Content

  • A range of topics are treated each at an elementary level to give a foundation of basic concepts, results, and computational techniques.
  • A rigorous approach is expected.

Learning Outcomes

Subject-specific Knowledge:

  • By the end of the module students will:
  • be able to solve a range of both routine and more challenging problems in probability theory.
  • be familiar with the basic mathematical concepts of probability theory.
  • have a broad knowledge of the subject area demonstrated by detailed familiarity with the following topics:
  • set theoretic framework for sample spaces and events, including notions of countable and uncountable sets;
  • event calculus, probability axioms, conditional probability, Bayes's formula, independence of events;
  • discrete and continuous random variables and their distributions, including particular familiarity with the binomial, Poisson, normal and exponential distributions;
  • joint distributions, conditional distributions, and independence of random variables;
  • expected value of a random variable, variance, covariance, and moment generating functions;
  • tail inequalities, the weak law of large numbers, and the central limit theorem.

Subject-specific Skills:

  • Students will have basic mathematical skills in the following areas: modelling, abstract reasoning, numeracy

Key Skills:

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Lectures demonstrate what is required to be learned and theapplication of the theory to practical examples.
  • Tutorials provide active engagement and feedback to the learning process.
  • Students are expected to develop their knowledge and skills with at least 50 hours of self-study.
  • Weekly homework problems provide formative assessment to guide students in the correct development of their knowledge and skills. They are also an aid in developing students' awareness of standardsrequired.
  • Initial diagnostic testing and associated supplementaryproblems classes fill in gaps related to the wide variety of syllabusesavailable at Mathematics A-level.
  • The examination provides a final assessment of the achievementof the student.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Lectures273 pw in wks 1-3, 5, 7, 9; 2 pw in wks 4, 6, 8, 10; 1 revision in wk 211 Hour27 
Tutorials51 pw in wks 3, 5, 7, 9; 1 revision in wk 211 Hour5Yes
Problems Classes41 pw in wks 4, 6, 8, 101 Hour4 
Support classes91 pw in wks 2-101 Hour9 
Preparation and Reading55 
Total100 

Summative Assessment

Component: Continuous AssessmentComponent Weighting: 10%
ElementLength / DurationElement WeightingResit Opportunity
Fortnightly electronic or written assessments during the first 2 terms. Normally, each will consist of solving problems and will typically be one to two pages long. Students will have about one week to complete each assignment 100 
Component: Probability ExaminationComponent Weighting: 90%
ElementLength / DurationElement WeightingResit Opportunity
Written examination2 hours100Yes

Formative Assessment

Fortnightly written or electronic assignments to be assessed and returned. Other assignments are set for self-study and complete solutions are made available to students. Students will have about one week to complete each assignment. A 45-minute Collection paper at the beginning of Epiphany term.

More information

If you have a question about Durham's modular degree programmes, please visit our FAQ webpages, Help page or our glossary of terms. If you have a question about modular programmes that is not covered by the FAQ, or a query about the on-line Undergraduate Module Handbook, please contact us.

Prospective Students: If you have a query about a specific module or degree programme, please Ask Us.

Current Students: Please contact your department.