- Joined
- 10/28/09
- Messages
- 1
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- 11
Hi
I'm currently a first year Bachelor of Computer and Mathematical Sciences student at the University of Western Australia hoping to pursue a career within computational mathematics. Basically I can chose between a heavy mathematics degree and a combination of mathematics and computer science. I've been given conflicting information regarding the importance of computer science at an undergraduate level regarding quantitative finance - Mark Joshi said that it can be gained easily during post grad while the co-ordinator of the Master of Financial Mathematics here states I should pick up a language ASAP.
The problem is that the CS department here teachs ALL of the units required for the 'computation' major in Java (apart from one in C and one is F#) however I think I'd find machine learning, algorithms and AI more interesting than geometry and topology. That being said programming is my weakness at this stage and I'm not preforming too well in the introductionary programming units (I may be denied the ability to major in computer science due to poor marks.) If I chose not to do a computer science major I will probably learn C++ at home along with most high-end computer science topics I am interested in.
I'd like to do some self-study or research in to computational mathematics/finance - should I start reading a book like Hull's or just work on learning C++ over summer (keeping in mind I only have completed one linear algebra, calculus, probability/statistics and discrete mathematics unit)?
Thanks for reading,
Jack
EDIT: Quick question - is there any specific OS that I should learn? I currently am dual-botting ubuntu and windows 7 though want to buy a new computer soon.
I'm currently a first year Bachelor of Computer and Mathematical Sciences student at the University of Western Australia hoping to pursue a career within computational mathematics. Basically I can chose between a heavy mathematics degree and a combination of mathematics and computer science. I've been given conflicting information regarding the importance of computer science at an undergraduate level regarding quantitative finance - Mark Joshi said that it can be gained easily during post grad while the co-ordinator of the Master of Financial Mathematics here states I should pick up a language ASAP.
The problem is that the CS department here teachs ALL of the units required for the 'computation' major in Java (apart from one in C and one is F#) however I think I'd find machine learning, algorithms and AI more interesting than geometry and topology. That being said programming is my weakness at this stage and I'm not preforming too well in the introductionary programming units (I may be denied the ability to major in computer science due to poor marks.) If I chose not to do a computer science major I will probably learn C++ at home along with most high-end computer science topics I am interested in.
I'd like to do some self-study or research in to computational mathematics/finance - should I start reading a book like Hull's or just work on learning C++ over summer (keeping in mind I only have completed one linear algebra, calculus, probability/statistics and discrete mathematics unit)?
Thanks for reading,
Jack
EDIT: Quick question - is there any specific OS that I should learn? I currently am dual-botting ubuntu and windows 7 though want to buy a new computer soon.