Bachelor's in Computer Science

		Study programme 2021-2022	Français
		Probability and Statistic
		Programme component of Bachelor's in Computer Science à la Faculty of Science

Code	Type	Head of UE	Department’s contact details	Teacher(s)
US-B3-SCINFO-002-M	Compulsory UE	GROSSE-ERDMANN Karl	S844 - Probabilité et statistique	GROSSE-ERDMANN Karl

Language of instruction	Language of assessment	HT(*)	HTPE(*)	HTPS(*)	HR(*)	HD(*)	Credits	Weighting	Term
Français	Français	29	13	3	0	0	4	4.00	1st term

AA Code	Teaching Activity (AA)	HT(*)	HTPE(*)	HTPS(*)	HR(*)	HD(*)	Term	Weighting
S-MATH-030	Introduction to R	3	0	3	0	0	Q1
S-PHYS-101	Probability and Statistics	26	13	0	0	0	Q1

Overall mark : the assessments of each AA result in an overall mark for the UE.

Programme component
	US-B2-SCINFO-004-M Probability

Objectives of Programme's Learning Outcomes

Understand the fundamentals of computer science

Use the vocabulary and the correct mathematical reasoning to formulate and solve problems in the field of computer science

Demonstrate basic knowledge and know-how in related fields

Demonstrate knowledge and basic skills in science and technology.

Understand the fundamentals related to scientific methods

Conduct rigorous reasoning based on scientific arguments
Give a critique and argue a point of view regarding multiple-source information and other opinions

Understand the fundamentals of communication

Communicate information (both orally and in writing) relating to the field of computer science in an intelligible, clear and structured way
Communicate a consistent and rigorous scientific argument, either orally or in writing

Learning Outcomes of UE

Introduction to the statistics software R. Review of probability and an introduction to statistics

Content of UE

Introduction to the statistics software R.
Review of probability:
- the notion of a probability
- discrete and continuous random variables
- random vectors
Introduction to statistics
- estimator
- confidence intervals
- various statistical tests

Prior Experience

Basic notions of probability

Type of Assessment for UE in Q1

Written examination
Practical test

Method of calculating the overall mark for the Q1 UE assessment

Not applicable

Q1 UE Assessment Comments

The theoretical part of the course will be evaluated by a written exam. The statistical work on data will be evaluated by a test using R.

Type of Assessment for UE in Q3

Oral examination
Written examination
Practical Test

Method of calculating the overall mark for the Q3 UE assessment

Not applicable

Q3 UE Assessment Comments

The theoretical part of the course will be evaluated by a written or an oral exam (depending on the number of students). The statistical work on data will be evaluated by a test using R.

Method of calculating the overall mark for the Q1 UE resit assessment

Not applicable

Type of Resit Assessment for UE in Q1 (BAB1)

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AA	Type of Teaching Activity/Activities
S-MATH-030	Cours magistraux Préparations, travaux, recherches d'information
S-PHYS-101	Cours magistraux Exercices dirigés

Mode of delivery

AA	Mode of delivery
S-MATH-030	Face to face
S-PHYS-101	Face to face

Required Reading

AA
S-MATH-030
S-PHYS-101

Required Learning Resources/Tools

AA	Required Learning Resources/Tools
S-MATH-030	Slides of the presentation put on moodle Exercise sheets
S-PHYS-101	Exercise sheets