Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
At the end of this learning unit, the student is able to :
At the end of this course, the students will have gain a critical view of the different classes of statistical software available on the market and basic culture on statistical algorithms and graphics. They will also be able to realise basic statistical analysis with different software (SAS, R, Excel, SPSS, JMP) and write programs in the R and SAS programming languages.
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Exercises: SAS and R programming exercises. Case studies with SPSS or JMP software.
Computer-based examination: Solving basic statistical case studies with SAS Enterprise Guide and SPSS (or JMP) software, SAS programming and R.
Please note that the required work must be carried out during the first quarter of the year according to a schedule that will be communicated to you at the beginning of the course. In the event of failure to submit a work, the student will have 0 on his first pass of the exam. However, with the teacher's permission, he or she may be able to take an additional question to catch up on his or her score from the second time he or she passes the exam. His request to re-score the work should be made BEFORE the start of the examination session and will only be considered if the work has not been returned or is missed (less than 50%).
Students enrolled in both parts of the course must pass both parts to pass the course. If the score of one of the 2 parties is less than 50%, this score will be used as the total score for the course.
The points awarded to projects depend on your success in the programming questions during the exam:
Project score on 1.25 if your project score > 2*scores programming questions of the exam
Project score on 2.5 if your project score ≤ 2*scores programming questions of the exam