标题: Waterloo cs mmath coursework data science项目有人上过吗? [打印本页] 作者: HaHarvey 时间: 2017-3-28 22:22:41 标题: Waterloo cs mmath coursework data science项目有人上过吗?
如题,这个项目好像是新出的,不知道有没有人知道质量如何...
课程如下:
One foundational course to be completed in the Fall (entry) term.
• STAT 845 Statistical Concepts for Data Science (for non- STAT major background students)
Two common core courses:
• STAT 847 Exploratory Data Analysis
• CS 651 Data-Intensive Distributed Computing
One required breadth course:
• CS 648 Database System Implementation
• CS 680 Introduction to Machine Learning
• CS 685 Machine Learning Theory: Statistical and Computational Foundations
之后再从“a list of selected graduate courses in the 600, 700, and 800-level series in Computer Science, and the 800 and 900-level series in Statistics”当中选四门课。
yes.
a standard master in computational statistics. (good mixture between stat and CS)
given that it is waterloo faculty math, and all courses are standard CS / Stat course, it cant go wrong.
of course, if you hv a sufficient, it will be better to get waived from STAT 845 and CS 651........and go with the more advanced courses.
P.S. of course, you need a solid CS and stat background in order to make this useful (which is kind of an requirement for admission anyway)作者: cheesechan 时间: 2017-3-29 00:34:22
本帖最后由 cheesechan 于 2017-3-29 00:39 编辑
fengke 发表于 2017-3-29 00:22
这个要CS本科吗?
CS degree is not a must, but you need the core of it.
◾ A Bachelor of Computer Science, Engineering or related degree
◾ An overall B+ (78%) average in a 4-year undergraduate degree from a recognized university
◾ English competency
◾ Academic background requirements <--- as below
Applicants for all degree programs are expected to have a formal background in the following areas of computer science:
◾ Programming languages
◾ Data structures
◾ Operating systems
◾ Algorithms
◾ Computer organization (architecture)
Applicants lacking in background may be required to take remedial courses, in addition to the regular program requirements, or be admitted as a probationary or transitional student. 作者: 水卢辣鸡 时间: 2017-3-29 01:22:10
fengke 发表于 2017-3-29 00:22
这个要CS本科吗?
需要cs本科或者stat本科...
这个专业是分两种,一种是MMATH CS in DS, 一种是MMATH STAT in DS...
两种的录取要求不同但是最后上的课都是一样作者: 哈登天下无敌 时间: 2017-3-29 02:19:22
借此帖請教一下各路高人, 從CS的方向來說, 有甚麼topic是對Machine Learning / Data Science 重要的??
就以這個MMath來說, 除了core了的CS 651 Data-Intensive Distributed Computing之外, 要再選四至五個左右的CS course, which one is important, and why? (assuming around 2 to 3 course out of 8 has gone to the stat stuffs..)
https://math.uwaterloo.ca/comput ... 0Data%20Science.pdf
• CS 648 Database Systems Implementation
• CS 654 Distributed Systems
• CS 658 Computer Security and Privacy
• CS 680 Introduction to Machine Learning
• CS 685 Machine Learning Theory: Statistical and Computational Foundations
• CS 686 Introduction to Artificial Intelligence
• CS 740 Database Engineering
• CS 741 Parallel and Distributed Database Systems
• CS 743 Principles of Database Management and Use
• CS 786 Probabilistic Inference and Machine Learning
• CS 798 Advanced Research Topics
• CS 848 Advanced Topics in Databases
• CS 856 Advanced Topics in Distributed Computing
• CS 858 Advanced Topics in Cryptography, Security and Privacy
• CS 870 Advanced Topics in Scientific Computing
• CS 886 Advanced Topics in Artificial Intelligence
• or any CS stuffs not in this list but should be taken......作者: HaHarvey 时间: 2017-3-29 09:43:50
but given this is Waterloo, with co-op option, solid CS+stat coursework,
and data science is really heat recently, I don't see any reason that it will be easier to be admitted than the standard CS / stat mmath.