We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.

Durham University

Faculty Handbook 2022-2023

Module Description

Please ensure you check the module availability box for each module outline, as not all modules will run each academic year.

Department: Mathematical Sciences


Type Open Level 3 Credits 20 Availability Available in 2022/23 Module Cap Location Durham


  • Calculus I (Maths Hons) (MATHNEW1) or Calculus I (MATH1061), Probability I (MATH1597) and Linear Algebra I (Maths Hons) (MATHNEW2) or Linear Algebra I (MATH1071).


  • None.

Excluded Combination of Modules

  • None.


  • To describe the basic ingredients of decision theory, for individuals and for groups, and to apply the theory to a variety of interesting and important problems.


  • Introduction to decision analysis: utility.
  • Uncertainty.
  • Statistical decision theory: Bayes decisions.
  • Bargaining.
  • Game theory.
  • Influence diagrams, group decisions and social choice.

Learning Outcomes

Subject-specific Knowledge:
  • By the end of the module students will: be able to solve novel and/or complex problems in Decision Theory.
  • have a systematic and coherent understanding of theoretical mathematics in the field of Decision Theory.
  • have acquired coherent body of knowledge of these subjects demonstrated through one or more of the following topic areas: Formulating decision problems and solving decision trees.
  • Utility, value of money, multi-attribute utility.
  • Use of data in decision making, statistical decision theory.
  • Sequential decision making.
  • Game theory, including two-person zero-sum games.
  • Bargaining, including Nash' theory.
  • Group decisions and social choice.
Subject-specific Skills:
  • In addition students will have specialised mathematical skills in the following areas which can be used with minimal guidance: Modelling.
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 the application of the theory to practical examples.
    • Assignments for self-study develop problem-solving skills and enable students to test and develop their knowledge and understanding.
    • Formatively assessed assignments provide practice in the application of logic and high level of rigour as well as feedback for the students and the lecturer on students' progress.
    • The end-of-year examination assesses the knowledge acquired and the ability to solve predictable and unpredictable problems.

    Teaching Methods and Learning Hours

    Activity Number Frequency Duration Total/Hours
    Lectures 42 2 per week for in Michaelmas and Epiphany; 2 in Easter 1 Hour 42
    Problems Classes 8 Fortnightly in each of terms 1 and 2 1 Hour 8
    Preparation and Reading 150
    Total 200

    Summative Assessment

    Component: Examination Component Weighting: 100%
    Element Length / duration Element Weighting Resit Opportunity
    Written examination 3 Hours 100%

    Formative Assessment:

    Eight written assignments to be assessed and returned. Other assignments are set for self-study and complete solutions are made available to students.

    Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University

    If you have a query about a specific module or degree programme, please contact the appropriate department.

    If you have a question about Durham's modular degree programmes, please visit our FAQ webpage. If you have a question about modular programmes that is not covered by the FAQ, or a query about the on-line Faculty Handbook, please contact us using the Comments and Questions form below.