Computer Science

OBJECTIVES AND OUTPUTSTANDARDS OF THECURRICULUM

Field of Study: Computer Science Disciplines:

Discipline Code: 52480101

Types of training: Formal

Period of Training: 4.5 years

Management Unit: The College of Information and Communications Technology - Can Tho University

Department: Computer Science

1. Training Objectives

- Training computer science engineers with extensive knowledge of computer science to apply their skills in real-world problems. After graduating, students will have a solid knowledge in one of the specialized subfields: Intelligent systems, Machine learning & Data mining, Graphics & Computer vision, Safety & security information, and Modeling & system evaluation. Students will have ability to develop their thinking from theory to the reality of building intelligent systems, and capability of applying research into practice as well as the ability to participate in research projects and develop the field of computer science.

2. Output Standard for Training Program

After completing the training program, students will have the knowledge, skills and attitudes as follows:

2.1.Knowledge

2.1.1.Knowledge of general education

- Having general foundational knowledge of theory of Marxism, Leninism and Ho Chi Minh's Ideology, knowledge of social science and humanism, physical education and National Defense Education.

- Grasping the basic scientific knowledge and mathematics to serve in computer science: Mathematical analysis, Linear Algebra, Discrete mathematics, Probability and Statistics.

2.1.2.Special basic knowledge

- Basic knowledge of applied mathematics in computer science

- Basic knowledge of computing theory: possibilities and limitations of the computer.

- Basic knowledge of the role of computer science in information technology, knowledge of computer architecture, operating systems and computer networks.

- Basic knowledge of database, database management systems, information systems, knowledge of analyzing, designing and building an information system for organizations and businesses.

- Basic knowledge of software technology.

- Intensive knowledge of data structures, algorithms and programming techniques including: structured, object-oriented and logic programming

2.1.3.Specialized knowledge

- Having a solid understanding in one of the specialized subfields: intelligent systems (artificial intelligence, data mining, machine learning); exploring multimedia data (computer graphics – image processing –computer vision); Safety & security information, and Modeling & system evaluation

- Having programming skills, and knowledge of software development process

2.2.Skills

2.2.1.Hard skills

- Applying the knowledge of mathematics and basic science in the field of computer science

- Using graphics software, image processing, from simple to complex.

- Having programming skills, the ability to develop from theory to practice, for example, building the intelligent system, and the ability to apply research into practice.

- Reading, writing, presenting and defending ideas; skills of reading specialized documentation and communicating in a foreign language.

- Having creative thinking, and critical thinking.

2.2.2.Soft skills

Teamwork: forming groups to work effectively; group operation; group development; team leader, having ability to work cooperatively.

2.2.3.Attitudes

Having positive attitudes in work, having morality and responsibility in work. Professional working style

2.2.4.Position of learner after graduation

- Students have chances working in: Consultant Company- Design the resolutions for information technology; manufacturing company, outsourcing services, software development and maintenance company; university, college, Research and Technology Transfer Institute belonging to computer science

- Students after graduation can work in the positions as: programming, analyzing and designing, and testing software

2.2.5.Study Opportunities, enhancement of education level after graduation

- Build up self-learning and self-updating skill, creativity in work and lifetime learning habit

- Build up the professional researching skills in computer science and relevant fields

- Meet the learning requirements at different levels of posgraduate in field of computer Science and relevant fields

BACHELOR OF COMPUTER SCIENCE CURRICULUM

No	Code	Course Title	Credits	Required	Elective	Lecture	Lab	Prerequisite	Semester
General Education Knowledge
1	QP003	National Defense Education – Security 1 (*)	3	3		45		Arranged by major
2	QP004	National Defense Education – Security 2 (*)	2	2		30		Arranged by major
3	QP005	National Defense Education – Security 3 (*)	3	3		30	45	Arranged by major
4	TC100	Physical Education 1+2+3 (*)	1+1+1		3		90		I, II, III
5	XH023	Basic English 1 (*)	4		10 credits for English or for French	60			I, II, III
6	XH024	Basic English 2 (*)	3			45		XH023	I, II, III
7	XH025	Basic English 3 (*)	3			45		XH024	I, II, III
8	XH004	Basic French 1 (*)	3			45			I, II, III
9	XH005	Basic French 2 (*)	3			45		XH004	I, II, III
10	XH006	Basic French 3 (*)	4			60		XH005	I, II, III
11	TN033	Basic Informatics (*)	1	1		15			I, II, III
12	TN034	Basic Informatics in Labs (*)	2	2			60		I, II, III
13	ML009	Basic Principles of Marxist-Leninist Philosophy 1	2	2		30			I, II, III
14	ML010	Basic Principles of Marxist-Leninist Philosophy 2	3	3		45		ML009	I, II, III
15	ML006	Ho Chi Minh’s Thought	2	2		30		ML010	I, II, III
16	ML011	Vietnamese Communist Party Policy of Revolution	3	3		45		ML006	I, II, III
17	KL001	General Law	2	2		30			I, II, III
18	ML007	General Logic	2		2	30			I, II, III
19	XH028	Introduction to Sociology	2			30			I, II, III
20	XH011	Basic Vietnamese Culture	2			30			I, II, III
21	XH012	Vietnamese in Use	2			30			I, II, III
22	XH014	Acte Administratif – Archives	2			30			I, II, III
23	TN001	Calculus A1	3	3		45			I, II, III
24	TN002	Calculus A2	4	4		60		TN001	I, II, III
25	TN010	Probability & Statistics	3	3		45			I, II, III
26	TN012	Linear Algebra and Analytic Geometry	4	4		60			I, II, III
27	CT101	Introdution to Programming A	4	4		30	60		I, II
Total: 56 credits (Required: 41 credits; Elective: 15 credits)
Basic Professional Knowledge
28	CT172	Discrete Mathematics	4	4		60			I, II
29	CT103	Data Structure	4	4		45	30	CT101	I, II
30	CT174	Algorithms Analysis & Design	3	3		30	30	CT103	I, II
31	CT175	Graph Theory	3	3		30	30	CT103	I, II
32	CT176	Object Oriented Programming	3	3		30	30	CT101	I, II
33	CT171	Introduction to SoftwareEngineering	3	3		30	30		I, II
34	CT173	Computer Architecture	3	3		45			I, II
35	CT178	Principles of Operating System	3	3		30	30	CT173	I, II
36	CT112	Computer Network	3	3		30	30	CT178	I, II
37	CT179	IT systems administration	3	3		30	30		I, II
38	CT180	Database	3	3		30	30	CT103	I, II
39	CT109	Information System Analyse & Design	3	3		30	30	CT180	I, II
40	CT311	Research methodology	2	2		30			I, II
41	CT181	Business Information Systems	3	N1	6 credits N1 or N2 or N3	30	30		I, II
42	CT182	Unified Modeling Language	3			30	30		I, II
43	CT187	Fundamentals of Information Technology	3			30	30		I, II
44	CT183	English for Information Technology 1	3	N2		45		XH025	I, II
45	CT184	English for Information Technology 2	3	N2		45		CT183	I, II
46	CT185	French for Information Technology 1	3	N3		45		XH006	I, II
47	CT186	French for Information Technology 2	3	N3		45		CT185	I, II
Total: 46 credits (Required: 40 credits; Elective: 6 credits)
Professional Knowledge
48	CT201	Project – Basic Topics	3	3			135	CT174, CT176	I, II
49	CT123	Linear Programming	2		2	30			I, II
50	CT124	Numerical Calculus	2			30			I, II
51	CT127	Information Theory	2			30			I, II
52	CT121	Theorical Informatics	3	3		30	30		I, II
53	CT332	Artificial Intelligence	3	3		30	30	CT103	I, II
54	CT202	Machine Learning	3	3		30	30		I, II
55	CT203	Computer Graphics	3	3		30	30	CT176	I, II
56	CT204	Information Security	3	3		30	30	CT176	I, II
57	CT205	Database Management System	3	3		30	30	CT180	I, II
58	CT428	Web Programming	3	3		30	30	CT176, CT180	I, II
59	CT251	Application Development on Windows	3		3	30	30	CT176, CT180	I, II
60	CT206	Application Development on Linux	3			30	30	CT176, CT180	I, II
61	CT207	Open Source Software Development	3			30	30	CT101	I, II
62	CT208	Project – Computer Science Topics	3	3			135	CT176, ≥ 80 TC	I, II
63	CT316	Digital Image Processing	3	CN1	CN1 or CN2 or CN3 or CN4	30	30	CT176	I, II
64	CT209	Advanced Computer Graphics	3			30	30	CT203	I, II
65	CT210	Computer Vision	3			30	30	CT316, CT202	I, II
66	CT211	Network Security	3	CN2		30	30	CT112	I, II
67	CT212	Network Administration	3			30	30	CT112	I, II
68	CT213	Advanced Cryptography	3			30	30	CT204	I, II
69	CT312	Data Mining	3	CN3		30	30		I, II
70	CT214	Advanced Machine Learning	3			30	30	CT202	I, II
71	CT215	Recommender Systems	3			30	30		I, II
72	CT125	Simulation	2	CN4		30	30		I, II
73	CT126	Queueing Theory & Its Applications	2			30	30		I, II
74	CT330	Multi-Agent Systems	2			20	20		I, II
75	CT446	Programming Language for Simulation	3			30	30	CT330	I, II
76	CT455	Field Trip – Computer Science	2	2			180	≥120 credits, CT428, CT109, CT112	III
77	CT595	Graduation Thesis – Computer Science	10		10 credits		300	≥ 120credits	I, II
78	CT465	Graduation Project – Computer Science	4				120	≥ 120 credits	I, II
79	CT216	Knowledge – Based Systems	3			30	30	CT332	I, II
80	CT217	Visual Data Mining	3			30	30	CT312	I, II
81	CT218	Information Retrieval	3			30	30		I, II
82	CT219	Natural Language Processing	3			30	30	CT121	I, II
83	CT220	Computer Animation	3			30	30	CT203	I, II
84	CT335	Network Design & Implementation	3			30	30	CT112	I, II
85	CT221	Network Programming	3			30	30	CT112, CT176	I, II
86	CT222	Fundamentals of Information System Security	3			30	30		I, II
87	CT274	Mobile Programming	3			30	30	CT176	I, II
88	CT223	Software Project Management	3			30	30	CT171	I, II
Total: 53 credits (Required: 29credits; Selective: 24 credits)
Total: 155credits (Required: 110credits; Selective: 45 credits)