Overview
DATA1001聽is a Level I Mathematics course.
Units of Credit:聽6
Cycle of offering:聽Term 2
More information:
罢丑别听Course Outline (pdf)聽contains information about course objectives, assessment, course materials and the syllabus.
Important additional information as of 2023
国产精品 Plagiarism Policy
The University requires all students to be aware of its聽.
For courses convened by the聽School of Mathematics and Statistics no assistance using generative AI software is allowed unless specifically referred to in the individual assessment tasks.
If its use is detected in the no assistance case, it will be regarded as serious academic misconduct and subject to the standard penalties, which may include 00FL, suspension and exclusion.
罢丑别听, contains up-to-date timetabling information.
If you are currently enrolled in DATA1001, you can log into聽聽for this course.
Course description
This course will be taught as a number of distinct, but related, topics covering the fundamentals of data science as it is applied in mathematics and statistics,computer science, and economics. The course will be pitched at a level accessible for students as a general education elective and it forms a platform for students wishing to undertake further studies in data science. The course will provide an introduction to topics such as data analytics, data mining, Bayesian statistics, statistical software, econometrics, machine learning, business forecasting.
The course is jointly taught by three schools: Mathematics and Statistics, Business, and Computer Science and Engineering, each covering the basics of Data Science.
Business: Descriptive statistics and basic econometric modelling, taught in several modern contexts.
Computer Science and Engineering:聽Relational database model, the MapReduce parallelizable processing algorithm, spatial data and graph data
Mathematics and Statistics: Introduction to Bayesian probability, topic modelling and variable selection for high-dimensional structured data.