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本帖最后由 slowjams 于 2016-6-4 12:31 编辑
准备去UNSW读IT,准备从事machine learning, big data方向,或是纯码农,对下面的课程的实用性和必要性有些疑问,还望各路大神多多指教.
1.Microprocessors and Interfacing(ISA, interrupts and I/O interfacing, serial communication, timers etc,单片机对CS有用吗,主要是这门课是operating system的前置课,不选就学不了操作系统)
2.Digital Circuits and System(感觉是EE有关,但是Computer Architecture的前置课,对CS帮助大吗)
3.Distributed Systems
4.Computer Architecture(pipelined RISC machines,memory subsystem, I/O, and system level interconnect)
5.Theory of Computation(Turing Machines, computability, Complexity: run time, space, 太理论没用?)
6.Design & Analysis of Algorithms
7.Advanced and Parallel Algorithms (Spatial, semi-structured and multi-dimensional data storage and manipulation techniques, non Von-Neumann techniques, advanced and parallel algorithmic technique)
8.Parameterized and Exact Computation( NP-hard problems, branching, colour coding, iterative compression, and kernelization,太理论没用?)
9.Artificial Intelligence (感觉这课太理论,没什么用?)
10.Knowledge Representation and Reasoning(AI Logics, Probablilistic Reasoning, Constraints) |
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发表于 2016-5-31 12:14
