Module Descriptor School of Computer Science and Statistics
|Module Name||ST1002 STATISTICAL ANALYSIS I|
|Module Short Title|
|Semester Taught||Michaelmas term|
|Contact Hours||Lecture: 2 hours per weekLab hours:1 hour per week Total hours:33 hours|
|Module Personnel||Associate Professor Myra O’ Regan|
To explain basic statistical theory and apply the techniques to data. Students should be able to describe and interpret the results in a detailed fashion. More precisely students should be able to
The aim of the course is to introduce the students to basic statistical concepts. There will be considerable emphasis on the use of a statistical package to analyse data.
|Recommended Reading List|
Assessment is by written examination (contributing 80% to the overall mark) and a series of assessments to be completed (contributing 20% to the overall mark). To pass the module, students must achieve a mark of 40% in both the written examination and the continuous assessment components.Class and lab attendance is compulsory. Students will be required to attend 80% of labs and lectures. Non attendance will result in an additional project to complete. Students will work together in groups. to complete labs. In the supplemental examinations, assessment is by written examination only, which contributes 100% of the overall mark.
|Academic Year of Data||2016/17|