Module Code | STU12501 |
Module Name | Introduction to Probability |
ECTS Weighting [1] | 5 ECTS |
Semester Taught | Semester 1 |
Module Coordinator/s | Fergal Shevlin |
Module Learning Outcomes
- Understand the elementary concepts of probability models.
- Apply various probability models to practical problems in a range of disciplines.
- Distinguish between discrete and continuous random variables.
- Appreciate the elementary properties of random variables.
Module Content
- Sample Space and Probability: Sets; Probabilistic Models; Conditional Probability; Total Probability.
- Theorem and Bayes’ Rule; Independence; Counting.
- Discrete Random Variables: Probability Mass Functions; Functions of Random Variables.
- Expectation, Mean, and Variance; Joint PMFs of Multiple Random Variables; Conditioning.
- Independence.
- General Random Variables: Continuous Random Variables and PDFs; Cumulative Distribution.
- Functions; Normal Random Variables; Joint PDFs of Multiple Random Variables; Conditioning.
- Continuous Bayes’ Rule.
Teaching and Learning Methods
Lectures, homework, tutorials.
Assessment Details
Assessment Component | Brief Description | Learning Outcomes Addressed | % of Total | Week Set | Week Due |
Examination | In-person examination (2 hours) | LO1,2,3,4. | 100% | | |
Reassessment Details
In-person examination, 2 hours, 100%.
Contact Hours and Indicative Student Workload
Contact Hours (scheduled hours per student over full module), broken down by: | 33 hours |
Lectures (11 weeks x 2 hours.) | 22 hours |
Laboratory | 0 hours |
Tutorials (11 weeks x 1 hour.) | 11 hours |
Other | 0 hours |
Independent study (outside scheduled contact hours), broken down by: | 92 hours |
Suggested lecture preparation (11 weeks x 3 hours.) | 33 hours |
Suggested homework problem-solving (11 weeks x 3 hours.) | 33 hours |
Exam preparation (2 weeks x 13 hours.) | 26 hours |
Total Hours | 125 hours |
Recommended Reading List
Extensive on-line course material associated with “Introduction to Probability”, 2nd Edition, Bertsekas and Tsitsiklis, Athena Scientific.
Module Pre-requisites
None.
Module Co-requisites
None.
Module Website
See TCD Blackboard.