Seminar series on Probability Theory, Theme: “Student's scientific free talk”


 – Within the framework of the classroom activities of the Probability Theory Module taught to third-year students majoring in Mechanical Engineering, a series of Student Science Seminar activities Students' Scientific Free Talk organized on an online platform by week with the cohesion and expansion of the content of the subject.

1. About the event

Participants in Talk #1
Invited Lecturer and Participants (Alumni, Students and Invited Teachers) in Talk #10: AI technology and Discussion

– The Probability Theory module equips engineering students with basic and useful knowledge of Probability Theory, including basic concepts of modeling with random, event, and spatial factors. sample, probability measure, probability space, classical and modern basis of probability theory, random variable, probability distribution, expectation, variance, along with two core results of the theory. Probability theory: Law of Large Numbers and Center Limit Theorem. These fundamental blocks of knowledge appear in all fields of science, engineering, economics, and society. It shows the meaning and importance of this scientific field, and is increasingly interested in the booming era of Computer Science, Information Technology, Data Science. The basic applications of the above Theory are included in the Statistics content of the course, one of the fields of Applied Science that is emerging strongly. The School of Classical Statistics is introduced into the curriculum, including an overview of the Sample Space and two basic problems of Statistics: Parameter Estimation and Hypothesis Testing. These are highly practical applications of the profound content of Probability Theory. Besides, some basic knowledge about R and Excel statistical software is also introduced to students. This is considered as the closest approach to consolidate the abstract and deep theoretical understanding of the subject, help learners get excited and arouse creativity.

– To keep up to date with the development of the related application field, known as a strong explosive movement that accompanies the brilliant development of Computer Science today including Machine Learning, Data Science, AI, a series of seminar activities with the topic "Students' Scientific Free Talk" are organized with topics prepared by students in the class and presented under the advice of lecturers. part. These contents are designed with the basic goal of arousing the initiative, training students' ability to work independently, creating an environment for students to experience science on their own. Thereby, this series of activities is expected to help students overcome the difficulties of interaction in the long-term online learning situation. Slogan of the series of events: “LET STUDENTS DO! LET STUDENTS EXPERIENCE!”. In fact, through the topics, the students successfully completed the preparation for the assigned content and showed their own unique curiosity and creativity. Another goal of the series of activities is the desire to create opportunities to connect faculty members, create an academic and foreign language exchange environment for students of the International Faculty, which makes the Faculty's brand. Some seminars were held to expand with the participation of other students in the faculty and teachers of many subjects. In particular, the series of activities was well appreciated with the participation of guests, who are experts in the field of AI from the Faculty of Electronics of the university, and excellent alumni of the faculty who are studying at the PhD level. foreign. Thereby, the event is expected to create a knowledge bridge between generations of the faculty, promoting the spirit of self-study and creativity in students.

2. Themes of the activity series

Language of Talks: English

Free Talk #1: Introduction to Machine Learning, presenter: Nguyen Dang Viet, class: K55APM, time: 15:45, February 21, 02.

– The presentation presents the overview knowledge about the field of Machine Learning science, the basic topics of the field, the relationship between this field and the knowledge block of Probability Theory, applications popularity and importance of the field today, along with the tools needed to launch the pursuit of this new and exciting field.

– The presenter demonstrates the thoroughness and science in choosing the contents of the topic and partly shows the motivation to study the contents of the Probability Theory Module.

- Video of the presentation:

Free Talk #2: An overview of Data Science, presenter: Nirinder Gene Cabarrubias Khangura, class K55APM, time: 16:00, February 21, 02.

– The content of the presentation covers many unique topics of this scientific field, including general knowledge, basic topics of the field with extremely valuable applications in the modern economy. , the blocks of knowledge needed to pursue the field, the coherence and importance of the knowledge of Calculus, Linear Algebra, Probability Theory and Statistics in conquering the extremely fascinating field and this potential. Along with that, the presenter also showed his deep interest in the field by giving instructions on technical tools, fundamental programming languages, and necessary skills of professionals. expertise in this area.

– Through a short period of preparation for the topic, the presenter showed creativity, great passion for this field along with deep insights in many scientific fields. The presentation was especially successful because of its scientific layout, deep and elaborate content, not much different from an expert in the subject's field. In addition, with a fluent English language, the presenter helps attendees have a quality learning environment and linguistic and academic experience.

- Video of the presentation:

Free Talk #3: Introduction to Statistical Mechanics, presenter: Mary Lourds Serrano, class: 55APM, time: 15:45, February 28, 02.

– The presentation introduces the general topics of the field of Statistical Mechanics, the relationship between the topics of this field and the body of knowledge of Statistical Probability Theory. The content of the field of statistical mechanics ranges from systems of microscopic particles including atoms, molecules, to systems in the current world in which we live. Presenters present scientific content, with complex technical terms, in vivid visual illustrative language. This creative exploration helps the presentation to gain a good response from the audience due to its intelligibility, being able to interpret the profound academic content.

– The presenter also showed a deep understanding of basic science, science and the ability to capture and select information quickly. With excellent English language skills, the presentation achieved high quality in conveying the topic content as well as the objectives of the series of activities.

- Link to the video presentation:

Poster Talk #3

Free Talk #4: An overview of the Standard and Applied Distribution Law, presented by: Vi Quang Trung, class: 55APM, time: 15:45, on 7/3/2022.

– The presentation gives basic concepts related to normal distribution, mean, variance, basic properties, basic application examples of normal distribution in many different scientific fields. The normal distribution is one of the most important distributions in Statistical Probability Theory, which plays a central role in the theoretical basis of this field. This law embodies the principle of determinism in phenomena with random elements. The centrality of this law applies on a large scale to many models of scientific fields.

– The presenter demonstrates the research and meticulousness in preparing the presentation content and good preparation in the process of using the presentation language in English.

Link poster of the topic:

Free Talk #5: Introduction to the Law of Probability Distribution, presenter: Bernard Gabriel Espedido, class: K55APM, time: 15:45 on March 21, 3.

– In lecture 4, the most important distribution law, the normal distribution, was introduced to illustrate a more general concept, which is the general probability distribution. The content of the presentation gives the simplest and most preliminary introduction to a basic knowledge base of Probability Theory, officially bringing classical Probability problems into the object of study by the solution of Probability. modern area. This greatly helps the development of the field theory later. In addition, the presentation provides initial understanding for technical students about the subject content that will be covered in the highly abstract module, creating a premise for the acquisition of the content to be conveyed. in the subject.

– The presenter chooses topics, scientific content, coherent layout and fluent language ability. The presentation was very high quality.

- Link to the presentation slides:

Poster Talk #5

Free Talk #6: Introduction to Discrete Probability Distribution, presenter: Ngo Tong Thanh Tung, class: K55APM, time: 15:45 on March 28, 3.

– The presentation provides an initial and basic understanding of the distribution law of discrete random variables, one of the two types of random variables taught in the course content. This knowledge base creates a premise for the acquisition of profound theoretical knowledge of the subject.

– The presenter organizes the content of the presentation in detail and science, with a good investment in the assigned content.

- Link to the presentation slides:

Poster Talk #6

Free Talk #7: Introduction to the Law of Continuous Probability Distribution, presenter: Alba Rodrick John R., class: K55APM, time: 15:45, 11/4/2022.

– The presentation provides basic knowledge about the rules of probability distribution of the class of continuous random variables along with typical applications of these distribution laws in many fields of science and economics. . The presenter shows a meticulous and scientific preparation, high creativity. Presentation slides are presented beautifully and create a highlight for the presentation content.

- Link to the presentation slides:

Poster #7

Free talk #8: Overview of applications of Excel software in calculating and analyzing statistical data, presenter: Joshua Adricula, class: K55APM, time: 21:00, May 13, 5.

– The presentation shows elaborate research, a great investment of time, to learn the great applications of Excel software for the content learned in the subject. Excel software creates closeness to users in the era of Windows operating system. However, its wonderful features are not exploited by everyone at the basic level, but it has a deeply connected content and is increasingly developed with the foundations of the theory of Probability Statistics from Classic to modern. This tool is becoming more and more powerful. The presenter also showed a bright, scientific presentation layout, along with excellent language skills that made the speech unique.

- Link to the presentation slides:

- Link to the video presentation:

Poster of Talk #8

Free Talk #9: Introduction to R software overview in the calculation of Statistical data, presenter: Jç Anîbo Dîama, class: K55APM, time: 21:30 on 13/5/2022.

– The presenter excellently demonstrates the prepared content. Although the overview was brief, it was of great help to the participants in understanding and familiarizing themselves with a simple tool, and extremely useful, especially for students who are new to the knowledge block. Statistics course. This software not only effectively supports learners in calculating statistics but also arouses curiosity, creativity, and the ability to work independently of learners. The layout presents insightful, academic, and scientific talks. The presenter demonstrated a very good understanding of the topic in question. Along with that, excellence in language skills makes the speech attractive and of good quality.

- Link to the presentation slides:

- Link to the video presentation:

Poster of the Talk #9

Free Talk #10, Invited Lecture: Overview of AI, presenter: Dr. Nguyen Tuan Anh, Lecturer in Computer Engineering Department, Faculty of Electronics, AI Leader, Foxconn Inc., Hong Hai Technology Group, Time: 22:00 on May 13, 5.

– The lecture presents an overview of the field of AI from an expert's point of view with in-depth analytical angles on the relationship of this field with nearby scientific fields, including: Mathematics, Statistical Probability , Computer Science, Information Technology, Data Science, Machine Learning. Useful and lively lectures provide students with a close approach to the topics and applications of the current AI field in the reality of modern technical production, helping students visualize the connection between theoretical and practical knowledge. Valuable lectures are a valuable opportunity, inspiring and motivating, orienting students to continue pursuing the path of learning and knowledge creation, accessing modern understandings of science and technology.

- Link to video lectures:

The Free Talk also had valuable sharings from lecturers in the school, excellent alumni of the Faculty of International Affairs, who are currently studying at the PhD level in developed countries. This valuable sharing creates a great opportunity to learn, exchange and motivate the students in the class and the attending students who are studying at the Faculty.

Participants in Talk #10.
All members of the Class in a Seminar.

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