ST518: Probability and Random Variables for Computer Science (5 ECTS)
        
        
		STADS: 25002301		
		
		
		
		
		
Level
		Bachelor course		
		
		
		
Teaching period
		The course is offered in the spring semester.		
3rd quarter		
		
		
		
Teacher responsible
		 Email: bentj@stat.sdu.dk
Timetable
 Email: bentj@stat.sdu.dk
Timetable
		
				
		 
		  | Group | Type | Day | Time | Classroom | Weeks | Comment | 
		 
  | Common | I | Monday | 12-14 | U81 | 06 |  | 
 
  | Common | I | Monday | 12-14 | U82 | 07,12 |  | 
 
  | Common | I | Monday | 12-14 | U20 | 08,13 |  | 
 
  | Common | I | Monday | 12-14 | U140 | 10 |  | 
 
  | Common | I | Monday | 12-14 | U91 | 11 |  | 
 
  | Common | I | Wednesday | 12-14 | U1 | 06,08 |  | 
 
  | Common | I | Wednesday | 12-14 | U140 | 07,10-12 |  | 
 
  | S2 | TE | Tuesday | 10-12 | U49d | 07-08,10-13 |  | 
 
  | S2 | TE | Friday | 14-16 | U49b | 06-08,10-13 |  | 
		
		 
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	Show personal time table for this course.
	
	
 
	
Comment:
	Ubegrænset deltagerantal. 3.kvartal. Fælles undervisning med ST517 Sandsynlighed og stokastiske variable.	
	
Prerequisites:
None
Academic preconditions:
The material from the course DM535 Discrete Methods for Computer Science is assumed known.
	
Course introductionTo introduce elementary concepts from probability theory, including random variables and standard distributions. 
Expected learning outcomeThe course will enable the participants to work independently with elementary  probability calculations and random variables. The participants will be able to apply the acquired knowledge in relevant circumstances to
 
- identify problems that can be solved by means of probability calculations;
- carry out simple probability calculations using distributions and random variables;
- to know conventional probability models and identify their application areas;
- to know the law of large numbers and the central limit theorem, and to apply them in  simple examples; 
- to use the statistical package R to carry out simple probability calculations and make simple graphics, including simple linear regression.
Subject overviewProbability, distributions, random variables, multivariate distributions, special distributions, convergence of sequences of random variables, simple linear regression. 
	
	
Literature- Meddeles ved kursets start.: .
Website
This course uses  
e-learn (blackboard).
Prerequisites for participating in the exam
None
Assessment and marking:
a) Written exam. Pass/fail, internal examiner.
b) Mandatory assignments. The mandatory assignments count for 40% of the total mark.
Re-exam after 4th quarter
The re-exam may be a different type than the ordinary exam.
Expected working hours
The teaching method is based on three phase model.
Forelæsninger: 26 timer
Eksaminatorietimer: 24 timer
Educational activities
Language
This course is taught in Danish.
Course enrollment
See deadline of enrolment.
Tuition fees for single courses
See fees for single courses.