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1. Sample Space (with example – binary signal)

Definition: A sample space (S) is the set of all possible outcomes of a random experiment. It is usually denoted by S.
Example: In digital communication, a binary signal has only two possible values: 0 and 1. Hence, the sample space is S={0,1}. This means every outcome of the experiment must belong to this set.


2. Event and its Types

Definition: An event (E) is any subset of the sample space. It represents one or more outcomes of an experiment.
Types:...

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Ssdss

GRUPA B

Zadanie 1 s = 5 * 60 = 300 m L = 300 / 4 = 75 m r = 75 / (2 * 3,14) = 11,94 m

Zadanie 2 Odpowiedź: D

Zadanie 3 r = 30 * (90 / 40)^2 r = 30 * 5,0625 = 151,88 m

Zadanie 4 Odpowiedź: A

Zadanie 5 Odpowiedź: B oraz C

Zadanie 6 g = (5 / 4) * 9,81 g = 1,25 * 9,81 = 12,26 m/s2

Zadanie 7 1: P 2: P

Zadanie 8 Odpowiedź: A

Zadanie 9 Odpowiedź: D

Zadanie 10 Odpowiedź: B

Zadanie 11 Na Księżycu: B Ponieważ: D

Zadanie 12 1: B 2: A

Zadanie 13 Odpowiedź: C

Zadanie 14 Odpowiedź: B

Zadanie 15 Odpowiedź:

...

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questions

What are the core themes or essences of the participants’ lived experiences? The core themes are Physical Pain and Discomfort in Daily Functioning, Peer Interaction and Social Treatment, Coping Strategies and School Environment Improvements, and Gender-Based Perceptions. These themes represent the shared lived experiences of adolescents with AIS in school settings, focusing on how the condition affects their daily life, relationships, and coping.How do your findings describe the lived experience

...

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unit 5

1.Randomness and Ignorance ?

In Artificial Intelligence, randomness and ignorance are two major sources of uncertainty that affect reasoning and decision-making in intelligent systems.

Randomness refers to uncertainty that is inherent in a system due to chance. Even when all information is available, the outcome cannot be predicted with certainty. For example, tossing a coin or rolling a die produces random results. In AI, randomness is modeled using probability, where each outcome has a

...

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unit 4

1.Processes and Histories?

In Artificial Intelligence, processes and histories are important for representing dynamic knowledge—how things change over time rather than just static facts.

Processes refer to sequences of actions or events that lead to a change in state. They describe how something happens. For example, the process of a traffic light system changing from red to green, or a student completing an exam, involves a series of steps. In AI, processes are often modeled using rules,

...

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unit 3

1.1. What is Knowledge Engineering? 

Definition: The application of logic and ontology to create computable models

for solving domain-specific problems within constraints like budgets and deadlines.

Example: A knowledge engineer models a traffic light system where the light alternates

between red and green automatically or can be manually controlled under special conditions.

2. Translating Informal Specifications

 Challenge: Informal, natural language descriptions must be translated

into

...

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krrr 2

1.Ontological Categories — Summary?

Ontological categories are the most basic types or classes of things that

exist, studied within Philosophy. They help us organize reality by grouping

entities based on their fundamental nature.

Key Idea:

👉 Ontological categories answer: “What kinds of things exist?”

Common Examples:

  • Objects – physical things (table, car)
  • Properties – qualities (color, size)
  • Relations – connections between things (parent–child)
  • Events – actions or occurrences
...

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romana

Puterea Inspirației: O Analiză a Filmului Shakespeare in Love
Introducere și context istoric
Filmul Shakespeare in Love, apărut în anul 1998 și regizat de John Madden, reprezintă una dintre cele mai apreciate producții cinematografice ale anilor '90. Succesul său nu a fost doar unul de public, ci și unul critic, reușind să câștige șapte premii Oscar. Genul filmului este o combinație reușită de comedie romantică și dramă istorică, oferind o perspectivă imaginară, dar foarte...

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Genetics

1. Molecular mechanisms of complex genetic diseases
“Complex genetic diseases are multifactorial and result from the interaction of multiple genes and environmental factors. The key mechanisms include polygenic inheritance, where many genes contribute small effects; single nucleotide polymorphisms and copy number variations that alter gene function or dosage; gene–gene interactions, known as epistasis; and gene–environment interactions such as diet or toxins. In addition, epigenetic modifications

...

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