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Desde enero 2023
Profesor desde enero 2023
Introduction to Cryptocurrency, NFT and Blockchain Technology
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A partir de 145.34 $ /h
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I am Engineer and Lecturer with more than 16 years of experience in Lecturing Computer Science , Electrical Engineering and Mathematics subjects for all levels,
In this 2 hour session I will cover,

Overview
Cryptocurrency
NFT
Benefits of Blockchain
Blockchain for Industries
Blockchain Solutions
Blockchain and AI
Lugar
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Conectado desde Italia
Acerca de mí
I am a Engineer and Lecturer
I am passionate to do lecturing for studentss of all levels of all ages.
I am dynamic and passionate person with more than 16 years experienced teaching for students of all levels and ages.
Every student is brillient . We need to help them recognize the brilliance they already have.
Formación
PhD in Computer Science and Mathematics( Speciallized in Big Data Analytics ) : 2011- 2015 : University of Basilicata , Italy
Bsc Engineering in Computer Engineering
Experiencia / Calificaciones
Engineer-Machine Learning and Artificial Intelligence
Engineer-Cloud & Virtualization
Postdoctoral Researcher (Machine Learning , Computer Vision, Data Science)
Lecturer
Edad
Adolescentes (13-17 años)
Adultos (18-64 años)
Tercera edad (65+ años)
Nivel del estudiante
Principiante
Duración
120 minutos
La clase se imparte en
inglés
Habilidades
Disponibilidad en una semana típica.
(GMT -05:00)
Nueva York
at teacher icon
En línea vía webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
I am Engineer and Lecturer with more than 16 years of experience in Lecturing Computer Science , Electrical Engineering and Mathematics subjects for all levels of students. I have PhD in Computer Science and Mathematics specialised in Big Data and Parallel Programming. Further I am specialized in Machine Learning and Artificial Intelligent , Data Science Areas. I am more interested in giving private lessons in,

Computer Programming ( Python , C/C++, Java ),
Machine Learning,
Data Science,
Data Analytics,
Databases,
Computer Architecture,
Embedded Systems,
Data Analytics for Business,
Digital Signal Processing,
Real Time Systems and Programming,
Parallel Programming,
Statistics,
Algebra ,
Geometry subject areas.

I have experienced in doing Lectures for Bachelor of Engineering Programs, Pearson BTEC HND in Electrical Engineering and HND in Digital Technologies Programs, City and Guilds Programs. Also I am CertifiedTrainer(City & Guilds Advanced Diploma in Teaching, Training and Assessing Learning : IVQ 1106-22).
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Python Complete Course For Python Beginners.Learn Python From Beginner To Advanced Level with theory and with more than 150 examples.

Topics you will find in the examples:
calculations in Python
strings, and str methods
data types
data structures: set. tuple, list, dict
program flow control
if statement
for loops
break statement
continue statement
while loops
exception handling
input/output
reading files
saving to files
built-in functions
defining your own functions
anonymous functions - lambda expression
set comprehension
list comprehension
dict comprehension
built-in modules
Fibonacci sequence
prime and composite numbers
palindromic numbers
GCD
decimal system, binary system
compression
object oriented programming
and many other
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Clases similares
arrow icon previousarrow icon next
verified badge
Erik
Many students today use AI tools like ChatGPT, but often in an unsafe or improvised way. Legitimate questions arise: Is it allowed? How can mistakes be avoided? How can AI be used without losing control of one's own thinking?

This course isn't about shortcuts or "machine-done work." It focuses on understanding AI as a tool and learning to use it consciously and responsibly. We work with concrete examples from the university setting and show how AI can support learning without compromising academic integrity.

One of the course's central themes is AI as a research tool. We'll explore how to define topics, formulate effective research questions, and structure a project from the outset. AI can help gain an overview and organize ideas, but we'll also clearly analyze its limitations and the need for critical self-reflection.

From there, we move on to academic writing. From developing outlines and arguments to improving style and clarity, AI can be a valuable tool. We demonstrate how to work with drafts, detect inconsistencies, and avoid common errors that often cause problems in academia.

Another section is dedicated to learning with AI. Explaining complex texts, clarifying concepts, reviewing content, and checking one's own understanding are especially valuable uses if the right questions are asked. The goal is to use AI actively, not passively.

Finally, we use AI as an intellectual sparring partner. Not as a substitute for our own thinking, but as an interlocutor that helps to compare arguments, raise objections, and explore other perspectives. This is where AI's greatest real value often lies: thinking better, not thinking less.

The course is designed for students of any discipline. No prior knowledge is required. The goal is to gain confidence in using AI and learn how to integrate it productively and responsibly into university studies.
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