BACHELOR OF APLLIED MATHEMATICS

Programme name: Applied Mathematics            Code: 7460112

Mode of training: Full-time                                    Training time: 4 years

Award: Bachelor                                                   Total number of credits: 141 credits

Programme type: Regular

Part 1

A BRIEF OVERVIEW OF THE PROGRAMME

1.1 Programme name: Applied Mathematics Programme

1.2 Programme Code: 7460112

1.3 Awarding institution: Can Tho University.

Address: Campus II, 3/2 Street, Xuan Khanh Ward, Ninh Kieu District, Can Tho City

Website: https://ctu.edu.vn/bmt.html

1.4 Award: Bachelor of Applied Mathematics

1.5 Total credits: 141

1.6 Mode of training: Full-time

1.7 Training time: 4 years (at most 8 years)

1.8 Applicants: People with high school diplomas or equivalent

1.9 Grade System: 4-grade

1.10 Graduation conditions:

-  Accumulate enough modules and credits specified in the programme; cumulative common average of the whole course of 2.0 or higher (on 4-grade);

- Complete conditional courses. In addition, general average score of National Defense and Security Education courses must be 5.0 or higher (on a 10-grade);

- Not being examined for criminal liability, not being disciplined at the level of suspension of study in the last academic year.

Part 2

PROGRAMME OBJECTIVES AND EXPECTED LEARNING OUTCOMES

1. Programme objective

1.1 General programme objective

     The Bachelor in Applied Mathematics (AMB) programme trains bachelors of science with in-depth knowledge of Applied Mathematics; capable of applying mathematical knowledge in the fields of science, technology, economy and society; capable of modeling real-world problems, building algorithms, processing and analyzing statistics; capable of working independently, creatively and competently in scientific research; have basic knowledge of political, social and legal sciences; Have skills in using foreign languages and using information technology.

1.2 Expected learning outcomes

The AMB graduates are expected to have ELOs as follows::

     - ELO1: Train students with political qualities, professional ethics, consciously serving the people, having good health, meeting the requirements of building and protecting the fatherland.

     - ELO2: Equip students with solid professional knowledge including basic knowledge and in-depth knowledge of Applied Mathematics, equipped with basic knowledge of foreign languages and informatics.

     - ELO3: Train students to apply mathematical knowledge to solve practical problems through modeling, collecting, processing and analyzing data, building algorithms and performing calculations and solving forecasting problems to meet practical requirements.

    -ELO4: Train students in independent work skills, collective work skills and skills adapted to the external work environment.

    - ELO5: Training students capable of continuing their studies at postgraduate levels.

2. Learning outcomes of programme

    Completing the AMB programme, learners master the knowledge, have skills and demonstrate the level of autonomy and personal responsibility as follows:

2.1 Knowledge

2.1.1 General knowledge

    PLO1: Master the basics of Marxism- Leninism; The lines and policies of the Communist Party of Vietnam, Ho Chi Minh's ideology, physical education, national defense education meet the requirements of building and protecting the Fatherland.

    PLO2: Master basic knowledge of general law, social sciences and humanities, natural sciences to meet the requirements of professional education knowledge acquisition.

    PLO3: Understand and apply the basic knowledge of English or French equivalent to level 3/6 of Vietnam's foreign language capacity framework (B1 according to the European reference framework).

    PLO4: Master the basics of computers, office software for learning and research.

2.1.2 Fundamental knowledge

    PLO5: Master basic knowledge of Analysis such as Real Analysis, Functional Analysis, Complex Analysis, Ordinary Differential Equation, Measure Theory and Integration; basic knowledge of Algebra as Linear Algebra, General Algebra, Linear Programming, Discrete Mathematics; basic knowledge of informatics and mathematical modeling; as a foundation for learning, researching at a higher level and applying to the fields of applied mathematics.

    PLO6: Master the basic knowledge of Probability theory and Statistics, in order to solve statistical problems in various fields such as Economics, Biology, Society and help learners to absorb in-depth knowledge of Statistics.

2.1.3Specialized knowledge

    PLO7: Master in-depth knowledge of probability, random processes for studying statistical theory and financial mathematics.

    PLO8: Master knowledge of statistics and databases to collect, process and analyze data collected for experimental research in the fields of agriculture, economy, society, medicine, and so on;

    PLO9: Master the knowledge of building mathematical models as the foundation for solving forecasting problems for many different fields, drawing up decisions related to business strategies and policies in socio-economic development.

    PLO10: Master knowledge of Numerical analysis, programming languages, computing bases in mathematical software (SPSS, R, Matlab, Maple,...) and the ability to program and solve practical problems, which have multi-parameter, big data and multi-dimension.

2.2 Skills

2.2.1 Hard skills

    PLO11: Modeling the problems posed by reality in the fields of science and technology, economics, life ... From there, make forecasts for models.

    PLO12: Collect secondary and primary data, analyze metrics, use basic and in-depth statistics for evaluation.

    PLO13: Build algorithms, computer programs, use mathematical software (Matlab, Maple,..) and statistical software (SPSS, R, ...) to solve the problem of computing and processing statistics.

2.2.2 Soft skill

    PLO14: Use foreign languages effectively in communication and scientific research.

    PLO15: Proficient in applied informatics, application of information technology and modern means in research.

    PLO16: Form teamwork skills to promote coordination and strengthen critical ability.

    PLO17: Forming communication skills; presenting electronically, using different forms of electronic communication (email, website, online seminars) to adapt to the working environment outside of society.

2.3 Attitudes/ Self-control and individual responsibility

    PLO18: Maintain confidence, enthusiasm, passion, adapt to change, work independently, be willing to work with others, consider and accept other perspectives. Always build a professional image at work.

    PLO19: Adhere to the professional ethics of your profession, be aware of the position, the importance of your standards and ethical principles, have a proper attitude to your mistakes.

PLO20: Form a sense of lifelong learning, always update information in your specialized field to have attitudes as well as handle changes, update in a suitable and effective way.

3. Job position:

- Statistical analysts and processors at statistics departments, banks, insurance companies, data processing companies;

- Experts in charge of synthesis, statistics and scientific research in state agencies;

- Researchers at centers and research institutes in Mathematics;

- Lecturers at colleges and universities

4. Ability to study, improve level after graduation

- Meet the requirements of studying at postgraduate levels in the fields of Mathematics Statistics, Analysis, Methods of Teaching Mathematics and Economics Mathematics.

- Conducting in-depth specialized studies on probability and statistics

5. Refer to when developing a training program

- National: Applied Mathematics programme of Hue University, Vinh University, Saigon University, Academy of Science and Technology.

- International: Applied Mathematics programme of Yale University (USA), University of Colorado (USA), University of Auckland (New Zealand).

6. Programme

No.

Code

Course Title

Credits

Required

Elective

Lecture

Lab

Prerequisite

Parallel course

Semester

General education knowledge

1

QP006

National Defense Education – Security 1 (*)

2

2

 

30

 

Arranged by major

QP007

National Defense Education – Security 2 (*)

2

2

 

30

 

Arranged by major

QP008

National Defense Education – Security 3 (*)

3

3

 

20

65

Arranged by major

QP009

National Defense Education – Security 4 (*)

1

1

 

10

10

Arranged by major

TC100

Physical Education 1+2+3 (*)

1+1+1

 

3

 

90

 

 

I,II,III

XH023

Basic English Course 1 (*)

4

 

10

 credits

 for

English

or

French

60

 

 

 

I,II,III

XH024

Basic English Course 2 (*)

3

 

45

 

XH023

 

I,II,III

XH025

Basic English Course 3 (*)

3

 

45

 

XH024

 

I,II,III

XH031

Level B2 English 1 (*)

4

 

60

 

XH025

 

I,II,III

10 

XH032

Level B2 English 2 (*)

3

 

45

 

XH031

 

I,II,III

11 

XH033

Level B2 English 3 (*)

3

 

45

 

XH032

 

I,II,III

12 

FL001

Basic French Course 1 (*)

4

 

60

 

 

 

I,II,III

13 

FL002

Basic French Course 2 (*)

3

 

45

 

FL001

 

I,II,III

14 

FL003

Basic French Course 3 (*)

3

 

45

 

FL002

 

I,II,III

15 

FL007

Intensive French 1 (*)

4

 

60

 

FL003

 

I,II,III

16 

FL008

Intensive French 2 (*)

3

 

45

 

FL007

 

I,II,III

17 

FL009

Intensive French 3 (*)

3

 

45

 

FL008

 

I,II,III

18 

TN033

Basic informatics (*)

1

1

 

15

 

 

 

I,II,III

19 

TN034

Basic informatics in lab (*)

2

2

 

 

60

 

TN033

I,II,III

20 

ML014

Marxist – Leninist Philosophy

3

3

 

30

 

 

 

I,II,III

21 

ML016

Marxist – Leninist Polotical Economy

2

2

 

 

 

ML014

 

 

22 

ML018

Scientific Socialism

2

2

 

45

 

ML016

 

I,II,III

23 

ML019

History of the communist party of Vietnam

2

2

 

30

 

ML018

 

I,II,III

24 

ML021

Ho Chi Minh’s thought

2

2

 

45

 

ML019

 

I,II,III

25 

KL001

General law

2

2

 

30

 

 

 

I,II,III

26 

ML007

General logic

2

 

2

30

 

 

 

I,II,III

27 

XH028

Overview of Sociology

2

 

30

 

 

 

I,II,III

28 

XH011

Basic Vietnamese culture

2

 

30

 

 

 

I,II,III

29 

XH012

Vietnamese in use

2

 

30

 

 

 

I,II,III

30 

XH014

General management documents and archives

2

 

30

 

 

 

I,II,III

 31

KN001

Transferable skills

2

 

20

20

 

 

I,II,III

32 

KN002

Entrepreneurship and innovation

2

 

20

20

 

 

I,II,III

33 

TN195

Basics of C programming

3

3

 

30

30

TN033

 

I,II,III

34 

TN100

Research Mehthodology

2

2

 

30

 

 

 

I,II,III

35 

SP304

Linear programming

2

2

 

30

 

 

 

I,II,III

36 

TN347

Discrete Mathematics

3

3

 

45

 

 

 

I,II,III

Total: 49 credits (Required: 34 credits; Elective: 15 credits)

Basic professional knowledge

 37

TN188

Analysis 1

3

3

 

45

 

 

 

I,II

38 

TN156

Analysis 2

3

3

 

45

 

TN188

 

I,II

39 

TN157

Analysis 3

3

3

 

45

 

TN156

 

I,II

40 

TN158

Linear algebra and analytic geometry 1

2

2

 

30

 

 

 

I,II

41 

TN220

Linear algebra and analytic geometry 2

3

3

 

45

 

TN158

 

I,II

42 

TN160

General algebra

3

3

 

45

 

TN220

 

I,II

43 

TN440

Probability and statistic

4

4

 

60

 

 

 

I,II

44 

TN162

Ordinary differential equations

3

3

 

45

 

TN156

 

I,II

45 

TN189

Complex analysis

3

3

 

45

 

TN156

 

I,II

46 

TN344

Numerical analysis

3

3

 

45

 

TN156

 

I,II

47 

TN464

Real analysis

3

3

 

45

 

TN156

 

I,II

48 

TN191

Functional analysis

3

3

 

45

 

 

 

I,II

49 

TN164

Measure and integral theory

3

3

 

45

 

TN157

 

I,II

50 

TN169

English for statistical mathematics

2

 

2

30

 

XH024

 

I,II

51 

XH019

French for Science and Technology

2

 

30

 

XH006

 

I,II

Total: 41 credits (Requỉed: 39 credits; Elective: 2 credits)

Professional knowledge

 52

TN372

Mathematical models

3

3

 

45

 

TN156

 

I,II

 53

TN368

Advanced statistics

3

3

 

45

 

TN440

 

I,II

54 

TN346

Analysis of statistical data

3

3

 

45

 

TN440

 

I,II

55 

TN426

Applications of informatics in mathematics

3

3

 

30

30

TN440

 

I,II

56 

TN355

Bayes statistics

3

3

 

45

 

TN440

 

I,II

57 

TN441

Multi-dimensional statistics

3

3

 

30

30

TN440

 

I,II

58 

TN170

Field trip

1

1

 

 

30

 

 

I,II

59 

TN370

Advanced probability

3

3

 

45

 

TN440

 

I,II

60 

TN442

Random process

3

3

 

45

 

TN440

 

I,II

 61

TN472

Applied statistics

3

3

 

30

30

TN440

 

I,II

62 

TN358

Time series analysis

2

2

 

30

 

TN440

 

I,II

63 

TN443

Socio-economic statistics

3

 

11

30

30

TN440

 

I,II

64 

TN462

Seminar in Applied mathematics

2

 

30

 

TN440

 

I,II

65 

TN467

Statistics classification and discriminant

3

 

45

 

TN440

 

I,II

66 

TN369

Statistics forecast

3

 

45

 

TN440

 

I,II

67 

TN251

Limit theorems of probaility theory

3

 

45

 

TN440

 

I,II

68 

TN255

Seminars on probability theory

2

 

30

 

TN440

 

I,II

 69

CT177

Data structures

3

 

30

30

 

 

I,II

70 

TN470

Partial differential equations and apllications

2

 

30

 

TN162

 

I,II

71 

TN201

Image processing techniques

2

 

30

 

 

 

I,II

72 

TN360

Graduation thesis

10

 

10

 

300

≥ 105 credits

 

I,II

73 

TN253

Graduation assay

4

 

 

120

≥ 105 credits

 

I,II

74 

TN254

Introduction to Financial mathematics

3

 

45

 

TN442

 

I,II

75 

KT320

Economical Mathematics model

3

 

45

 

TN156

 

I,II

76 

TN352

Theory of nonlinear programming

2

 

30

 

SP304

 

I,II

77 

TN354

Algorithm of optimization

2

 

30

 

 SP304

 

I,II

78 

SG245

Convex analysis

2

 

30

 

TN156

 

I,II

79 

SP328

Set-valued analysis

2

 

30

 

TN157

 

I,II

80 

TN204

Information system design

3

 

30

30

 

 

I,II

81 

TN469

Advanced numerical methods

3

 

45

 

TN344

 

I,II

82 

TN278

Dynamical systems

3

 

45

 

 TN156

 

I,II

Total: 51 credits (Required: 30 credits; Elective: 21 credits)

Total: 141 credits (Required: 103 credits; Elective: 38 credits)

College of Natural Sciences - Can Tho University
Address: Campus II, 3/2 street, Ninh Kieu district, Can Tho city, Viet Nam
Tel: 0292.3872.091
Email: kkhtn@ctu.edu.vn