Established in 1997, up to now, the Posts and Telecommunications Institute of Technology has been training 16 general university training majors and 02 High-quality programs. The current university training majors of the Institute are divided into 03 groups of majors (1) Engineering and Technology group including Information Technology, Artificial Intelligence, Electronic Engineering, Communications and Electrical and Electronic Engineering Technology; (2) Business and Management group including Business Administration, Accounting, Marketing, E-commerce; and (3) Journalism and Communication group including Multimedia Technology, Multimedia Communications. Currently, the Institute has been organizing enrollment and training for 19 regular university courses; The Institute’s regular university training scale averages about 12,000 full-time university students (accounting for 85.7% of the Institute’s total training scale), of which the scale of full-time university students in the technical field is about 8,000 students (accounting for over 65% of the full-time university training scale).
The Institute has also trained human resources for society in 19 university courses with a number of over 15,000 workers. In 2016, the Institute conducted a survey of graduates. The drafting team designed a survey form, organized a survey of the employment of graduates at the Institute from businesses to have an independent information channel on the employment results of students with the survey results showing that 93.10% of graduates have jobs. In 2016 and 2017, the Institute conducted a survey on the employment of graduates through an online survey using a questionnaire on Google sent via email, Facebook and website, with 23.39% of students and 57.61% of students of newly graduated courses participating in the survey. According to the survey results, the number of students who had jobs immediately after graduation accounted for a large proportion of 68.3%, showing that many students of the Institute were proactive in finding and orienting their careers while still studying at school.
Also according to the survey, the rate of students who had jobs in their field of study after one year of graduation was 89.5%. In addition, nearly 15% of students after graduating from university and college continued to study to improve their qualifications at the Institute or study abroad. University training activities of the Posts and Telecommunications Institute of Technology meet the requirements of society and businesses, actively contributing to the development of the Information and Communications industry and the cause of industrialization and modernization of the country.
Lecturers of the Faculty of Information Technology 1 have actively cooperated with the Post and Telecommunications Training Center 1 and large enterprises such as Samsung and Naver to develop programs and conduct many training courses both in person and online, providing basic and in-depth training on machine learning and artificial intelligence for students of all faculties at the Institute. Some typical activities in training and fostering artificial intelligence that have been implemented include:
– Developing electronic lectures and online courses on artificial intelligence under the sponsorship of Naver Group.
– Developing and teaching direct courses on artificial intelligence for students under the sponsorship of Samsung Group.
– Participating in developing programs and conducting basic training courses on artificial intelligence for partners of the Institute.
TT | Subject name | Course code | Number of credits | Class (period) | Experiment/Practice (period) | Self-study (period) | Prerequisite course code | Teaching planning options | |
Theory | Correct exercises / Discussion | ||||||||
1 | Marxist-Leninist philosophy | BAS1150 | 3 | 24 | 6 | ||||
2 | Marxist-Leninist political economy | BAS1151 | 2 | 24 | 6 | 15 | |||
3 | Scientific socialism | BAS1152 | 2 | 24 | 6 | ||||
4 | Ho Chi Minh Thought | BAS1122 | 2 | 24 | 6 | 15 | |||
5 | History of the Communist Party of Vietnam | BAS1153 | 2 | ||||||
6 | English (Course 1) (*) | BAS1157 | 4 | ||||||
7 | English (Course 2) | BAS1158 | 4 | ||||||
8 | English (Course 3) | BAS1159 | 4 | ||||||
9 | English (Course 3 Plus) | BAS1160 | 2 | ||||||
10 | Basic Informatics 1 | INT1154 | 2 | 20 | 4 | 4 | 2 | ||
11 | Basic Informatics 2 | INT1155 | 2 | 20 | 4 | 4 | 2 | INT1154 | |
12 | Scientific research methodology | SKD1108 | 2 | 18 | 6 | 6 | |||
Sum: | 31 | ||||||||
Physical Education and National Defense Education | |||||||||
1 | Physical Education 1 | BAS1106 | 2 | 2 | 26 | 2 | Own plan | ||
2 | Physical Education 2 | BAS1107 | 2 | 2 | 26 | 2 | |||
3 | National Defense Education | BAS1105 | 3 | 165 | |||||
Skill development knowledge (choose 3/7) | |||||||||
1 | Presentation skills | SKD1101 | 1 | 6 | 8 | 1 | Own plan | ||
2 | Teamwork skills | SKD1102 | 1 | 6 | 8 | 1 | |||
3 | Text creation skills | SKD1103 | 1 | 6 | 8 | 1 | |||
4 | Planning and organizing skills | SKD1104 | 1 | 6 | 8 | 1 | |||
5 | Communication skills | SKD1105 | 1 | 6 | 8 | 1 | |||
6 | Problem solving skills | SKD1106 | 1 | 6 | 8 | 1 | |||
7 | Creative thinking skills | SKD1107 | 1 | 6 | 8 | 1 |
TT | Subject name | Subject code | Number of credits | Class (period) | Experiment/Practice (period) | Self-study (period) | Prerequisite course code | Teaching planning options | |
Theory | Correct exercises / Discussion | ||||||||
12 | Calculus 1 | BAS1203 | 3 | 36 | 8 | 1 | |||
13 | Calculus 2 | BAS1204 | 3 | 36 | 8 | 1 | |||
14 | Linear Algebra | BAS???? | 3 | 36 | 8 | 1 | |||
15 | Physics and applications | BAS1224 | 3 | 42 | 6 | 8 | 4 | ||
16 | Digital | ELE1433 | 2 | 24 | 4 | 2 | |||
17 | Statistical probability | BAS1226 | 3 | 24 | 6 | ||||
Sum: | 17 |
CMU: Focusing on Mathematics subjects closely related to AI such as: Mathematical Foundations for Computer Science; Integration and Approximation; Matrices and Linear Transformations; Calculus in Three Dimensions; Probability Theory for Computer Scientists. These subjects are usually taught by CMU in the first year or the first semester of the second year.
Edinburgh: Focusing on three Mathematics subjects such as: Introduction to Linear Algebra, Calculus and its Applications, Discrete Mathematics and Probability.
TT | Subject name | Course code | Number of credits | Class (period) | Experiment/Practice (period) | Self-study (period) | Prerequisite course code | Teaching planning options | ||
Theory | Correct exercises / Discussion | |||||||||
18 | Digital signal processing | ELE1330 | 3 | 36 | 8 | 1 | ||||
19 | Discrete Mathematics 1 | INT1358 | 3 | 36 | 8 | 1 | ||||
20 | Discrete Mathematics 2 | INT1359 | 3 | 36 | 8 | 1 | ||||
21 | Introduction to Machine Learning | INT???? | 3 | 30 | 6 | 8 | 1 | |||
22 | Data structures and algorithms | INT1306 | 3 | 32 | 8 | 4 | 1 | |||
23 | Database | INT1313 | 3 | 32 | 8 | 4 | 1 | |||
24 | Computer architecture | INT1323 | 3 | 36 | 8 | 1 | ||||
25 | Information theory | ELE1319 | 3 | 36 | 8 | 1 | ||||
26 | Operating system | INT1319 | 3 | 34 | 8 | 3 | ||||
27 | Object Oriented Programming | INT1332 | 3 | 30 | 6 | 8 | 1 | |||
28 | Computer network | INT1336 | 3 | 34 | 8 | 3 | ||||
29 | Introduction to software engineering | INT1340 | 3 | 36 | 8 | 1 | ||||
30 | Introduction to Data Science | INT1434 | 3 | 30 | 8 | 6 | 1 | |||
31 | Programming with Python | INT13162 | 3 | 30 | 6 | 8 | 1 | |||
32 | Tools for deploying and operating AI applications | INT???? | 3 | 36 | 8 | 1 | ||||
33 | Introduction to artificial intelligence | INT1341 | 3 | 36 | 8 | 1 | ||||
34 | Optimization methods | INT??? | 3 | 30 | 8 | 6 | 1 | |||
35 | AI Ethics and Policy | INT???? | 3 | 30 | 8 | 6 | 1 | |||
36 | Basic internship | INT13147 | 3 | 4 | 40 | |||||
Sum: | 57 |
TT | Subject name | Course code | Number of credits | Class (period) | Experiment/Practice (period) | Self-study (period) | Prerequisite course code | Teaching planning options | |
Theory | Correct exercises / Discussion | ||||||||
37 | Natural language processing and large language models | INT??? | 3 | 30 | 8 | 6 | 1 | ||
38 | Introduction to Computer Vision | INT141693 | 3 | 30 | 8 | 6 | 1 | ||
39 | Introduction to Deep Learning | INT14154 | 3 | 30 | 8 | 6 | 1 | ||
40 | Big-data Mining | INT14155 | 3 | 30 | 8 | 6 | 1 | ||
41 | Time series data analysis | INT141683 | 3 | 30 | 8 | 6 | 1 | ||
42 | AI Application Development | INT???? | 3 | 30 | 8 | 6 | 1 | ||
Optional course (5/9 course) | |||||||||
43 | Introduction to robotics | INT???? | 3 | 20 | 6 | 4 | |||
44 | Parallel Programming | INT???? | 3 | 20 | 6 | 4 | |||
45 | Generative model | INT??? | 3 | 20 | 6 | 4 | |||
46 | Graph Machine Learning Models and Applications | INT??? | 3 | 20 | 6 | 4 | |||
47 | Recommendation system | INT141703 | 3 | 20 | 6 | 4 | |||
48 | Information retrieval | INT14158 | 3 | 32 | 8 | 4 | |||
49 | Reinforcement Learning and Applications | INT??? | 3 | 20 | 6 | 4 | |||
50 | IoT and applications | INT14149 | 3 | 30 | 6 | 8 | |||
51 | Distributed systems | 3 | |||||||
Sum: | 33 | ||||||||
Graduation Alternative Course | |||||||||
52 | Machine learning and applications topic | INT???? | 3 | 12 | 32 | 1 | |||
53 | Big data processing topic | INT??? | 3 | 12 | 32 | 1 |
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