Lương Huỳnh Anh Dũng (ITITIU20191)
The Meaning of Majors:
Computer science: The study of computers and computing as well as their theoretical and
practical applications. Computer science applies the principles of mathematics, engineering,
and logic to a plethora of functions, including algorithm formulation, software and hardware
development, and artificial intelligence.
Data science: An inter-disciplinary field that uses scientific methods, processes, algorithms
and systems to extract knowledge and insights from structured and unstructured data, and
apply knowledge and actionable insights from data across a broad range of application
domains. Data science is related to data mining, machine learning and big data.
Information technology (IT): The use of computers to store, retrieve, transmit, and
manipulate data or information. IT is typically used within the context of business operations
as opposed to personal or entertainment technologies. IT is considered to be a subset of
information and communications technology (ICT). An information technology system (IT
system) is generally an information system, a communications system, or, more specifically
speaking, a computer system – including all hardware, software, and peripheral equipment –
operated by a limited group of IT users.
Objective:
Computer Science:
+Be established and recognized as a valued professional and effective communicator in
industries related to computer science and computing technologies.
+Practice their profession in a collaborative, team-oriented manner that embraces the
multidisciplinary and multicultural environment of today’s business world.
+Engage in lifelong learning and professional development via post graduate education and
participation in professional organizations.
+Function as a responsible member of society with willingness to mentor fellow employees
and an understanding of the ethical, social and economic impact of their work in a global
context.
Data Science:
+Develop a broad academic and practical literacy in computer science, statistics, and
optimization, with relevance in data science and artificial intelligence, so that students are
able to critically select and apply appropriate methods and techniques to extract relevant and
important information from data.
+Provide strong core training so that graduates can adapt easily to changes and new
demands from industry.
+Enable students to understand not only how to apply certain methods, but when and why
they are appropriate.
+Integrate fields within computer science, optimization, and statistics to create adept and
well-rounded data scientists.
+Expose students to real-world problems in the classroom and through experiential learning.
Information Technology (IT):
+Developed a product or process by applying knowledge of programming, web, database,
human computer interaction, networking and security tools
+Participated effectively as a member of a development team and undertaken leadership
roles when appropriate
+Taken graduate courses or continuing education classes to improve skills and abilities
+Made positive contributions to community and society by applying skills and abilities
learned during undergraduate program in information technology
+Made decisions related to work that demonstrate understanding of the importance of being
an ethical computing professional
+Applied communication skills to effectively promote ideas, goals or products
Potential jobs:
Computer Science:
Software developers create software programs that allow users to perform specific tasks on
various devices, such as computers or mobile devices. They are responsible for the entire
development, testing, and maintenance of software.
Database administrators analyze and evaluate the data needs of users. They develop and
improve the data resources used to store and retrieve critical information.
Data Science:
+Data Scientist: Find, clean, and organize data for companies. Data scientists will need to be
able to analyze large amounts of complex raw and processed information to find patterns
that will benefit an organization and help drive strategic business decisions. Compared to
data analysts, data scientists are much more technical.
+Machine Learning Engineer: Machine learning engineers create data funnels and deliver
software solutions. They typically need strong statistics and programming skills, as well as a
knowledge of software engineering. In addition to designing and building machine learning
systems, they are also responsible for running tests and experiments to monitor the
performance and functionality of such systems.
Information Technology (IT):
+Computer programmer: writes new computer software using coding languages like HTML,
JavaScript and CSS. Video game software can be updated to improve online gameplay,
which is an opportunity for programmers to troubleshoot problems experienced by gamers
after the game is released to the general public.
+Web developer: Web developers design the appearance, navigation and content
organization of a website. They use coding languages such as HTML, CSS and JavaScript
to manage graphics, applications and content that address a client's needs.
Well-known Vietnamese companies: Global Cybersoft,FPT, TMA Solutions, KMS
Technology,...
Technical skills:
+Computer and technology knowledge
+Data analysis, Software development
+Technical writing
+Mathematics
Soft skills:
+Attention to detail
+Creativity
+Communication
+Time management
Reason choosing major:
Major choosing: Information Technology
Reason: Because of it’s high salary and wide Jobs field.
Future career path: Make enough money to make my dream come true, which is becoming
an editor or japanese translator.
Academic curriculum:
Calculus
Probability
Statistic & Random Process
Physics
Computer Networks
Physics
Software Engineering
Chemistry for Engineers
Operating System
Academic English
Physical Training
Introduction to Computing
Web Application Development
Information System Management
Net-Centric Programming
C/C++ Programming in Unix
Elective:Human-Computer Interaction
Network Design and Evaluation
Software Project Management
Introduction to Distributed Computing
System and Network Security
Introduction to Wireless Network
Network Management and Protocols
System & Network Administration
Digital Image Processing
Introduction to Data Mining
Critical Thinking
Special Study of the Field
Principle of Economics
Digital Logic Design and Lab
Theoretical Models in Computing
Object Oriented Programming
Discrete Mathematics
Senior Research Thesis
Principle of Database Management
Object Oriented Analysis and Design
Computer Architecture
Data Structure and Algorithms
Academic Plan to be able to graduate on time: Try to Pass all the exam, studying more in the
summer semester, Work hard, learn experience from other alumnus.