Mathematics Moderatorship 2010-11
Junior Sophister Year
JS Mathematics students take a total of 60 ECTS credits, 30 in each term. Unless indicated modules are 5 ECTS units.
All module choices are subject to them being possible within the timetable.
Michaelmas term
- MA3413 Group representations I (PDF description of MA3413) Lecturer: Dr. Timothy Murphy
- MA3421 Functional analysis I (PDF description of MA3421) Lecturer: Professor Richard Timoney
- MA3425 Partial differential equations I (PDF description of MA3425) Lecturer: Dr. John Stalker
- MA3427 Algebraic topology I (PDF description of MA3427) Lecturer: Dr. David Wilkins
- MA3429 Differential geometry I [prerequisite: MA2322] Lecturer: Dr. David Wilkins
- MA342E Measure theory [prerequisite: MA2223, MA2224] (PDF description of MA342E) Lecturer: Prof. T. Dorlas
- MA3431 Classical field theory [prerequisite: MA2342] (PDF description of MA3431) Lecturer: Dr. Nigel Buttimore
- MA3441 Quantum mechanics I [prerequisite: MA2342] (PDF description of MA3441) Lecturer: Dr. Michael Fry
- MA3443 Statistical physics I (PDF description of MA3443) Lecturer: Dr. Stefan Sint
- MA3463 Computation theory and logic I (PDF description of MA3463) Lecturer: Dr. Colm Ó Dúnlaing
- MA3469 Practical numerical simulations Lecturer: Dr. Dmitri Grigoriev
- MA3471 Mathematical neuroscience I (PDF description of MA3471) Lecturer: Dr. Conor Houghton
- MA3473 Mathematics Education (PDF description of MA3473) Lecturer: Elizabeth Oldham
- ST3453 Stochastic models in space and time I [prerequisite: ST2352] (PDF description of ST3453) Lecturer: Prof. John Haslett (Statistics)
- ST3455 Modern statistical methods I [prerequisite: ST2352] (PDF description of ST3455) Lecturer: Dr. Cathal Walsh (Statistics)
- MA3481 Mathematical economics I (PDF description of MA3481) Lecturer: Dr. Eleanor Denny (Economics)
The above modules are considered to be at the advanced level. Junior Sophister students may include in their choice of modules 5 credits of modules listed below at the intermediate level (provided they have not taken a substantially similar module in a Freshman year) and/or a 5 credit BC module. Appropriate approved modules offered by other Schools in College may be substituted for advanced level modules up to a maximum of 10 credits. (See below for a partial list of such modules.)
- MA2317 Introduction to number theory (PDF description of MA2317) Lecturer: Dr. Vladimir Dotsenko
- MA2341 Advanced classical mechanics I [prerequisite: MA1242] Lecturer: Dr. Sergey Frolov
- ST2351 Probability and Theoretical Statistics I [prerequisite: ST1252] (PDF description of ST2351) Lecturer: Prof. Simon Wilson (Statistics)
- BC Broad Curriculum Courses
Hilary term
- MA3422 Functional analysis II [prerequisite: MA3422] (PDF description of MA3422) Lecturer: Professor Richard Timoney
- MA3426 Partial differential equations II [prerequisite: MA3425] (PDF description of MA3426) Lecturer: Dr. John Stalker
- MA3428 Algebraic topology II [prerequisite: MA3427] (PDF description of MA3428) Lecturer: Dr. David Wilkins
- MA342F Distributions [prerequisite: MA342E] (PDF description of MA342F) Lecturer: Prof. T. Dorlas
- MA3432 Classical electrodynamics [prerequisite: MA3431] (PDF description of MA3432) Lecturer: Dr. Nigel Buttimore
- MA3442 Quantum mechanics II [prerequisite: MA3441] (PDF description of MA3442) Lecturer: Dr. Michael Fry
- MA3444 Statistical physics II [prerequisite: MA3445] (PDF description of MA3444) Lecturer: Dr. Stefan Sint
- MA4448 General relativity [prerequisites: MA2342, MA3429, MA3432] Lecturer: Dr. John Stalker
- MA346B Cryptology (PDF description of MA346B) Lecturer: Dr. Michael Purser
- MA3472 Programming for mathematical neuroscience [prerequisite: MA3471] (PDF description of MA3472) Lecturer: Dr. Conor Houghton
- ST3454 Stochastic models in space and time II [prerequisite: ST3453] (PDF description of ST3454) Lecturer: Dr. Rozenn Dahyot (Statistics)
- ST3456 Modern statistical methods II [prerequisite: ST3455] (PDF description of ST3456) Lecturer: Prof. Simon Wilson (Statistics)
- MA3482 Mathematical economics II [prerequisite: MA3481] (PDF description of MA3482) Lecturer: Dr. Augustín Bénétrix (Economics)
- MA3494 Mathematical teaching assignment [prerequisite: MA3473] (PDF description of MA3494) Lecturer: Dr. Donal O'Donovan
The modules just above are considered to be at the advanced level. Junior Sophister students may include in their choice of modules 5 credits of modules listed below at the intermediate level (provided they have not taken a substantially similar module in a Freshman year) and/or a 5 credit BC module. Appropriate approved modules offered by other Schools in College may be substituted for advanced level modules up to a maximum of 10 credits. (See below for a partial list of such modules.)
- MA2318 Elementary projective and algebraic geometry (PDF description of MA2318) Lecturer: Dr. Dmitri Zaitsev
- MA2342 Advanced classical mechanics II [prerequisite: MA2341] Lecturer: Dr. Sergey Frolov
- ST2352 Probability and Theoretical Statistics II [prerequisite: ST2351] Lecturer: Dr. Krysztof Mosurski (Statistics)
- BC Broad Curriculum Courses
Approved additional modules
Michaelmas term
- CS3011 Symbolic Programming [5 credits] Lecturer: Dr Tim Fernando (Computer Science)
- CS3021 Computer Architecture III [5 credits, prerequisites: Assembly language and C++ programming.]
- CS3071 Compiler Design I [5 credits]
- CS3D1 Microprocessor Systems I [5 credits] Lecturer: Dr. Michael Brady (Computer Science)
- CS4001 Fuzzy Logic [10 credits]
- CS4031 Mobile Communications [10 credits]
- CS4052 Computer Graphics [10 credits] Lecturer: Dr. Veronica Sundstedt (Computer Science)
- CS4053 Computer Vision [10 credits]
Computer science options may have additional prerequisites and students should check that they have the appropriate background.
Hilary term
- CS3001 Formal Methods [5 credits]
- CS3D2 Microprocessor Systems II [5 credits, prerequisites: CS3D1] Lecturer: Dr Jeremy Jones (Computer Science)
- CS3D3 Computer Networks [5 credits] Lecturer: Dr. Hitesh Tewari (Computer Science)
- CS4D4 Computer Vision [10 credits, prerequisites: A working knowledge of C++.] Lecturer: Dr. Gerard J. Lacey (Computer Science)
Computer science options may have additional prerequisites and students should check that they have the appropriate background.
Year long modules
ST3007 Applied Forecasting/Multivariate Data Analysis [10 credits, prerequisite: ST2352] Lecturers: Dr. Rozenn Dahyot (Statistics), Dr. Brett Houlding (Statistics)