Knowledge Based Reasoning: Agents, Facets of Knowledge. Logic and Inferences: Formal Logic,
Propositional and First Order Logic, Resolution in Propositional and First Order Logic, Deductive
Retrieval, Backward Chaining, Second order Logic. Knowledge Representation: Conceptual
Dependency, Frames, Semantic nets.
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A short presentation to share knowledge about topic Decidability of Theory of Automata Course.
To make people to be aware how to know which formal languages are decidable and why...!
Artificial Intelligence (AI) | Prepositional logic (PL)and first order predic...Ashish Duggal
The following are the topics in this presentation Prepositional Logic (PL) and First-order Predicate Logic (FOPL) is used for knowledge representation in artificial intelligence (AI).
There are also sub-topics in this presentation like logical connective, atomic sentence, complex sentence, and quantifiers.
This PPT is very helpful for Computer science and Computer Engineer
(B.C.A., M.C.A., B.TECH. , M.TECH.)
Knowledge Based Reasoning: Agents, Facets of Knowledge. Logic and Inferences: Formal Logic,
Propositional and First Order Logic, Resolution in Propositional and First Order Logic, Deductive
Retrieval, Backward Chaining, Second order Logic. Knowledge Representation: Conceptual
Dependency, Frames, Semantic nets.
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
Like Us - https://www.facebook.com/FellowBuddycom
A short presentation to share knowledge about topic Decidability of Theory of Automata Course.
To make people to be aware how to know which formal languages are decidable and why...!
Artificial Intelligence (AI) | Prepositional logic (PL)and first order predic...Ashish Duggal
The following are the topics in this presentation Prepositional Logic (PL) and First-order Predicate Logic (FOPL) is used for knowledge representation in artificial intelligence (AI).
There are also sub-topics in this presentation like logical connective, atomic sentence, complex sentence, and quantifiers.
This PPT is very helpful for Computer science and Computer Engineer
(B.C.A., M.C.A., B.TECH. , M.TECH.)
Formal and Computational Representations
The Semantics of First-Order Logic
Event Representations
Description Logics & the Web Ontology Language
Compositionality
Lamba calculus
Corpus-based approaches:
Latent Semantic Analysis
Topic models
Distributional Semantics
Introduction to complexity theory that solves your assignment problem it contains about complexity class,deterministic class,big- O notation ,proof by mathematical induction, L-Space ,N-Space and characteristics functions of set and so on
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This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
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In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
2. Discrete Math in LETI
undergraduate curricula (FCTI)
Year 1 Discrete Math
Year 2
Math Logic and
Algorithm Theory
Year 3
Year 4
3. Discrete Math in LETI
undergraduate curricula (RTF)
Year 1 Discrete Math
Year 2
Year 3
Year 4
4. Course parameters: TUT and LETI
TUT LETI
Amount of credits 4 5 (1 cu = 36 hours in Russia)
Duration 7 weeks 19 weeks (1 semester)
Student hours 105 180
Lectures 28 36
Laboratory work /
tutorials
12 36
Homework (%
mandatory)
36(40%) 72 (50%)
Internship 0
Exam preparation 16 36
Exam 3 1 (not included in total amount)
5. Modules included in DM-2 (ML&TA)
● (Binary relations)
● Boolean function
● First-order logic
● Grammars & Languages
● Algorythms
● (Graphs)
6. Let's use this colouring to distinguish competences which are
treated different ways in LETI
For competences, which are included into Discrete Math curriculum
For competences, which are not included in LETI Math curricula
For competences, which are driven out to other Math cources
For competences, which should be obtained by students to the end of semester 1
7. SEFI Level 3
Some of SEFI Level 3 competences could be obtained
while studying our general courses
Content Competence
Lattices and
Boolean algebra
Understand the concept of Boolean fucntion
Construct a truth table for a function
Obtain CNF and DNF of a function
Obtain Zhegalkin polynom of a function
Build a composition of two or more functions in different forms
Recognize function membership in one of tge Post Classes
Use Post criteria for a set of functions
8. SEFI Level 1
Content Competence
Mathematical logic
recognise a proposition
negate a proposition
form a compound proposition using the connectives AND,
OR, IMPLICATION
construct a truth table for a compound proposition
construct a truth table for an implication
verify the equivalence of two propositions using a truth table
identify a contradiction and a tautology
construct the converse of a proposition
obtain the contrapositive form of an implication
understand the unversal quantifier 'for all'
understand the existential quantifier 'there exists'
negate propositions with quantifiers
follow simple examples of direct and indirect proof
follow a simple example of a proof by contradiction
9. In addition at LETI
All those competences should be obtained by LETI students in
the Semester 3, which gives students the ability to work at the
area of ATP (Automatical Theorem proving)
Content Competence
Mathematical logic
recognize prenex and Scolem form of first-order
formulas
obtain prenex and scolem form for a certain formula
unify first-order logic formulas
use resolution method for propositions and first order
logic
10. SEFI Level 1
Sometimes DM-1
Content Competence
Graphs
recognise a graph (directed and/or undirected) in a
real Situation
understand the notions of a path and a cycle
In addition at LETI
Sometimes DM-1
Content Competence
Graphs Obtain an incidence matrix for a graph
11. Content Competence
Relations
understand the notion of binary relation
find the composition of two binary relations
find the inverse of a binary relation
understand the notion of a ternary relation
understand the notion of an equivalence relation on a set
verify whether a given relation is an equivalence relation or not
understand the notion of a partition on a set
view an equivalence either as a relation or a partition
understand the notion of a partial order on a set
understand the differnce between maximal and greatest element,
and between minimal and smallest element
SEFI Level 2 (sometimes DM-1)
In addition at LETI
Content Competence
Relations
Obtain a the graph and his matrix for a relation
Use topological sort algorithm and transitive closure algorithms
12. Content Competence
Graphs
recognise an Euler trail in a graph and/or an Euler graph
recognise a Hamilton cycle (path) in a graph
find components of connectivity in a graph
find components of strong connectivity in a directed graph
find a minimal spanning tree of a given connected graph
SEFI Level 2
(sometimes DM-1)
In addition at LETI
Content Competence
Graphs
Find the distance (shortest way) between two vertices in a graph
Recognize planar graph
13. Content Competence
Algorithms
understand when an algorithm solves a problem
understand the 'big O' notantion for functions
understand the worst case analysis of an algorithm
understand one of the sorting algorithms
understand the idea of depth-first search
understand the idea of breadth-first search
understand a multi-stage algorithm (for example, finding the
shortest path, finding the minimal spanning tree or finding
maximal flow)
understand the notion of a polynomial-time-solvable problem
understand the notion of an NP problem (as a problem for
which It is 'easy' to verify an affirmative answer)
understand the notion of an NP-complete problem (as a
hardest problem among NP problems).
SEFI Level 2
14. In addition at LETI
Content Competence
Algorithms understand the notion of Turing machine
run simple turing machines on paper
construct simple Turing machine
run Markov algorithm
Grammars and
languages
Recognize context-free grammar
Construct context-free grammar for a simple language
Build a parser for a grammar using Virt algorithm
SEFI Level 3
15. We cannot find those concept and competitions in
SEFI table, even at Level 3. Probably, they are
considered as not subject of Math, but a one of
Computer Science.
In addition at LETI
Content Competence
Finite State Machines
recognize table and graph representation of FSM
recognize automata language
carry out set operations with automata languages
obtain FSM for regular expression and vice versa
obtain determined FSM for non-determined one
FSM minimization
16. Modification ideas
● More strict module structure: each module should give a fixed percent of a final
mark
● More strict «game rules»
● Improving TEL usage, especially MathBridge (or similar)
● Some modules may be completely moved to Mathbridge (or similar)
● Some modules may be elective