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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2010/2011
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Mathematics for Informatics 4a (MATH08044)

Course Outline
School School of Mathematics College College of Science and Engineering
Course type Standard Availability Available to all students
Credit level (Normal year taken) SCQF Level 8 (Year 2 Undergraduate) Credits 10
Home subject area Mathematics Other subject area Mathematics for Informatics
Course website https://info.maths.ed.ac.uk/teaching.html Taught in Gaelic? No
Course description Discrete probability, continuous probability, Markov chains, birth-and-death processes.
Entry Requirements
Pre-requisites Students MUST have passed: ( Applicable Mathematics 1 (MATH08027) AND Applicable Mathematics 2 (MATH08031)) OR Mathematics for Informatics 1a (MATH08046)
Co-requisites
Prohibited Combinations Students MUST NOT also be taking Probability (Year 2) (MATH08008) OR Applicable Mathematics 4 (Inf) (MATH08014)
Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisites None
Displayed in Visiting Students Prospectus? Yes
Course Delivery Information
Delivery period: 2010/11 Semester 2, Available to all students (SV1) WebCT enabled:  Yes Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
CentralLecture1-11 12:10 - 13:00
CentralLecture1-11 12:10 - 13:00
First Class Week 1, Wednesday, 12:10 - 13:00, Zone: King's Buildings. Appleton Tower, Lecture Theatre 3
Additional information Tutorials: Tu at 1110 or 1210
Exam Information
Exam Diet Paper Name Hours:Minutes Stationery Requirements Comments
Main Exam Diet S2 (April/May)1:30None. No YAF.
Resit Exam Diet (August)1:30None. No YAF.
Summary of Intended Learning Outcomes
1. Discuss and apply methods of discrete probability such as conditional probability and joint distributions.
2. Discuss the basic notions of continuous probability and apply them to simple situations.
3. Describe Markov chains and their use in some applications.
4. Discuss and apply the use of probability in other areas such as queues.
Assessment Information
Coursework: 15%; Degree Examination: 85%
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list Not entered
Study Abroad Not entered
Study Pattern Not entered
Keywords mi4a
Contacts
Course organiser Dr Elizabeth Gasparim
Tel: (0131 6)50 8572
Email: Elizabeth.Gasparim@ed.ac.uk
Course secretary Mrs Joy Clark
Tel: (0131 6)50 5059
Email: joy.clark@ed.ac.uk
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copyright 2011 The University of Edinburgh - 31 January 2011 7:58 am