Download 3. The Statistics Programme - United International College

BNU-HKBU
UNITED INTERNATIONAL COLLEGE
Division of Science and Technology
Statistics Programme
Undergraduate Handbook
2007
※ Statistics Programme ※
Contents
1. Introduction .............................................................................................................. 313
2. The Division of Science and Technology ................................................................. 313
2.1
Admission................................................................................................ 313
2.1.1
Mainland China Applicants ........................................................ 314
2.1.2
Hong Kong and Macau Applicants ............................................ 314
2.1.3
Overseas Applicants ................................................................... 314
2.1.4
Disabled Applicants.................................................................... 314
3. The Statistics Programme ......................................................................................... 315
3.1
Planned Student Intake ............................................................................ 315
3.2
Teaching and Media of Instruction.......................................................... 315
3.3
Programme Aims, Objectives and Learning Outcomes .......................... 315
4. Teaching Staff ........................................................................................................... 316
5. Programme Structure ................................................................................................ 316
5.1
Major Core Subjects ................................................................................ 317
5.2
Major Elective Subjects........................................................................... 318
5.3
General Education Required Subjects ..................................................... 319
5.4
General Education Elective Subjects....................................................... 319
6. Four-Year Study Plan ............................................................................................... 320
6.1
Year One.................................................................................................. 320
6.2
Year Two ................................................................................................. 320
6.3
Year Three ............................................................................................... 321
6.4
Year Four ................................................................................................. 321
7. Assessment, Progression and Awards ....................................................................... 322
7.1 Assessment Methods ................................................................................ 322
7.2 Assessment Grading System ..................................................................... 322
7.3 Progression ............................................................................................... 322
7.3.1 Normal Progression ..................................................................... 322
7.3.2 Students with Low GPA .............................................................. 323
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※ Handbook 2007 ※
7.3.3 Honours Classification ................................................................ 323
7.4. Academic Awards and Scholarships........................................................... 323
8. Subjects Description ................................................................................................. 324
8.1 Major Core Subjects ................................................................................. 324
8.2 Major Elective Subjects ............................................................................ 327
8.3 General Education Required Subjects ...................................................... 331
8.4 General Education Elective Subjects ........................................................ 333
9. Internship, Placement and Overseas Visits ............................................................... 335
10. Research Institute ..................................................................................................... 335
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※ Statistics Programme ※
1. Introduction
This student handbook provides some general information about the Statistics Programme
under the Division of Science and Technology, BNU-HKBU United International College.
Students can also find specific information about the programme structure, degree
requirements, grading scheme, curriculum, etc. in this handbook. Students should read this
handbook carefully and discuss any queries with their mentor, teacher, Programme
Coordinator, or the Division Dean. The content of this handbook is for reference only, and is
subject to change without notice.
2. The Division of Science and Technology
The primary academic objective of the Division is to provide students with a number of
four-year Honours Degree Programmes. Three major programmes are currently offered:
Programme
Computer Science Technology
计算机科学与技术
Statistics
统计学
Environmental Science
环境科学
Degree1
B.Sc.(Honours) (i)
理学士(荣誉)
B.Sc.(Honours) (ii)
理学士(荣誉)
B.Sc.(Honours) (iii)
理学士(荣誉)
Years of Study
4
4
4
A new programme, Food Science and Engineering2, will be introduced in the 1st semester of
2007-2008 academic year.
2.1 Admission
Equal opportunities: UIC seeks to admit students of high academic ability and potential. All
selection for admission takes place irrespective of gender. UIC selects students for admission
without regard to race, ethnic origins, color, religion or social background, and no candidate for
admission will be treated less favorably than another on these grounds. Decisions on admission are
based solely on the individual merits of each candidate and the application of selection criteria
appropriate to the course of study. Admission procedures will be kept under review to ensure
compliance with this policy.
1
The degree will be awarded by the Hong Kong Baptist University: (i) Bachelor of Science (Honours) in
Computer Science and Technology 计算机科学与技术理学士(荣誉); (ii) Bachelor of Science (Honours) in
Statistics 统计学理学士(荣誉); (iii) Bachelor of Science (Honours) in Environmental Science 环境科学理学
士(荣誉).
2
For details, please see the UIC website.
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※ Handbook 2007 ※
2.1.1
Mainland China Applicants
Students from Mainland China who have sat the P.R.C. University & College Entrance
Examination of the current year and have met the college entrance benchmark are eligible to
apply.
2.1.2
Hong Kong and Macau Applicants
An applicant from Hong Kong or Macau must EITHER –
(1) obtain a Grade E or above in at least six subjects3 in the Hong Kong Certificate of
Education Examination including Chinese Language and English Language (Syllabus
B)4 with at least five subjects in a single sitting; and have satisfactorily completed Form
6 in Hong Kong;
OR (2) have graduated from a Macau secondary school;
OR (3) have obtained a qualification deemed to be equivalent.
Preference will be given to candidates who possess Hong Kong Advanced Level
Examinations results. Associate Degree holders may apply for direct admission to year 35.
2.1.3
Overseas Applicants
An applicant from overseas other than Hong Kong or Macau may apply for admission to the
College on the basis of other academic qualifications acceptable, and will be considered on an
individual basis.
2.1.4
Disabled Applicants
The UIC views applications from students with a disability on an equal basis with other
students. There are certain programmemes of study with inherent requirements that mitigate
against students with particular physical limitations being admitted. Applicants with a
disability are requested to indicate the nature of their disability on their application forms. It
will not affect their chances of admission, provided that applicants are physically able to cope
with the programmemes applied for.
3
4
5
5 subjects are acceptable if the total of these 5 subjects is not less than 8 points (grade A to E shall be given the
values of 5 to 1 respectively for the purpose of calculating the points).
Grade C in English Language (Syllabus A) is considered equivalent to Grade E in English Language (Syllabus
B).
Admission requirements may change over time, see announcements posted on the UIC website.
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※ Statistics Programme ※
3. The Statistics Programme
The Statistics Programme at UIC is committed to quality, leading-edge education, and
research. It offers the Bachelor of Science (Honours) in Statistics. After two years of study,
qualified students may apply for exit the programme and be awarded an Associate Degree by
the Hong Kong Baptist University (for details see UIC website). The Senate of the College
has the sole right not to award any Associate Degrees to students if it so decides.
3.1 Planned Student Intake
The planned student intake for Year 1 is about 50 students per year, and for Year 3(for
Associate Degree graduates or equivalently qualified students) is about 30 students per year.
3.2 Teaching and Media of Instruction
Teaching will be mainly by formal lectures. Tutorials and laboratory sessions will also be
organized to complement formal lectures. The most up-to-date IT tools to aid teaching and
learning will be used. English is the medium of instruction for lectures, tutorials and
laboratory classes.
3.3 Programme Aims, Objectives and Learning Outcomes
The general aim of the Bachelor of Science (Honours) in Statistics Degree Programme is to
prepare students for a career in Statistics related areas. Students will be equipped to work in
industry and business etc. or to pursue postgraduate study in China or abroad. Graduates will
have developed learning skills and have the confidence to meet the challenges in the rapidly
changing world of Statistics.
In addition to the College-wide Whole Person Education, the specific objectives of the
programme are to equip students with:
(1)
(2)
(3)
(4)
A solid and broad foundation in Statistics;
An in-depth knowledge in selected Statistics areas;
Good problem solving skills; and
Good communication and interpersonal skills.
In order to achieve the above objectives, the Statistics curriculum has been carefully designed
based on the internationally recognized Statistics curriculum recommendations. Upon
completion of this programme, students will have acquired:
(1) the most fundamental knowledge and learning capability for sustainable self-development
in Statistics as well as further study in related fields;
(2) advanced knowledge in the selected areas of Statistics, namely Actuarial Science;
(3) the ability and creativity of identifying real world problems and transforming them into
Statistics requirements;
(4) problem-solving skills, communication techniques and presentation skills such that they
are well equipped for their career.
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※ Handbook 2007 ※
4. Teaching Staff
Full-time teaching staff are recruited from all over the world. All teachers recruited must
possess a Ph.D. and have relevant research experience. Experts or specialists with exceptional
skills and experience in the fields of biostatistics, actuarial science and computer science and
technology, etc, are also recruited. Presently, the Dean of Science and Technology is
Professor S.Y. Zee, B.Sc.(Honours), Ph.D. and the Programme Coordinator is Prof. K. T.
Fang (IMS and ASA Elected Fellows).
5. Programme Structure
The Statistics B.Sc.(Honours) Degree is a four-year full-time degree programme, with
considerable departure from traditional single discipline courses. In addition to the subjects of
the main discipline, students are required to take supporting, interdisciplinary and
complementary subjects of their own choice. In the final year of study, students have to take
individual final year projects, in which they gain in-depth knowledge, basic research
techniques, and training in thesis writing.
Students are normally expected to complete 132 to 135 subject credits within the curriculum
structure below:
Subjects (科目)
Major Core Subjects (专业必修课)
Major Elective Subjects (专业选修课)
General Education Required Subjects
(通识教育必修课)
General Education Elective Subjects
(通识教育选修课)
Total (合计)
Credits (学分)
45-48
27-30
36
15-33
132-135
The subjects available each year are subject to minor changes and adjustments depending on
staff availability, etc.
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※ Statistics Programme ※
5.1 Major Core Subjects
Course
Structured Programming
Calculus and Linear Algebra
Advanced Calculus I
Introduction to Mathematical
Finance
Advanced Calculus II
Final Year Project I
Final Year Project II6
Logistics
Linear Programming & Integer
Programming
Simulation
Dynamic Programming Inventory
Control
Advanced Topics in Operations
Research
Statistics & Probability
Regression Analysis
Categorical Data Analysis
Computer-Aided Data Analysis
Quality Control - Six Sigma
Experimental Design
Multivariate Analysis
6
Chinese Title
结构程序编写
微积分与线性代数
高等微积分 I
Code
COMP1020
MATH1040
MATH2010
Credits
3
3
3
金融数学导论
MATH2040
3
高等微积分 II
毕业论文 I
毕业论文 II
物流学
线性规划和整数规
划
随机模擬
动态规划及库存控制
MATH3070
MATH4111
MATH4112
OR 3010
3
3
3
3
OR 3020
3
OR 3030
3
OR 4010
3
高等运筹学选题
OR 4020
3
统计与概率
回归分析
离散变量的数据分
析
数据分析在计算机
中的实现
质量控制--六西格码
试验设计
多元统计分析
STAT 2010
STAT 2020
3
3
STAT3010
3
STAT3020
3
STAT3030
STAT4010
STAT4020
3
3
3
With the approval of the Programme Coordinator, students may substitute it by a 3-credit major elective subject
(经学科课程统筹主任批准, 学生可选修另一门 3 学分的专业选修科目替代).
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※ Handbook 2007 ※
5.2 Major Elective Subjects
Course
Introduction to Mathematical Finance *
Graph Theory
Real Analysis
Differential Equation
Computational Finance
Actuarial Mathematics
Case Studies
Numerical Methods
Optimization
Network and Transportation Models
Regression Analysis *
Loss Models
Structural Equation Modeling
Design and Analysis of Surveys
Survival Analysis
Time Series Analysis
Data Mining
Life Contingencies
Applied Stochastic Process
Chinese Title
金融数学导论
图论
实变分析
微分方程
金融计算
精算数学
案例研究
计算方法
最优化方法
网络及运输模型
回归分析
损失函数
结构方程模型
抽样调查
生存分析
时间序列分析
数据挖掘
人筹偶然性
应用随机过程
Code
MATH2040
MATH4010
MATH4020
MATH4030
MATH4040
MATH4050
MATH4060
MATH4070
OR 4030
OR 4040
STAT2020
STAT4040
STAT4050
STAT4060
STAT4070
STAT4080
STAT4090
STAT4100
STAT4110
Credits
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
(Subject marked by * is only for students admitted directly to Year 3) (只限于直接入读三年级之
学生)
5.2.1 Actuarial Science
Course
Introduction to Mathematical Finance
Computational Finance
Actuarial Mathematics
Loss Models
Time Series Analysis
Life Contingencies
Chinese Title
金融数学导论
金融计算
精算数学
损失函数
时间序列分析
人筹偶然性
318
Code
MATH2040
MATH4040
MATH4050
STAT4040
STAT4080
STAT4100
Credits
3
3
3
3
3
3
※ Statistics Programme ※
5.3 General Education Required Subjects
Course
English I
English II
Academic Reading and Writing
English III
English IV
Information Technology
Chinese I
Chinese II
Mathematics for Science
Physical Education/Healthy Living
Applied Ethics
Statistics for Science
Chinese Title
大学英文 I
大学英文 II
学术阅读与写作
大学英文 III
大学英文 IV
信息科技
大学中文 I
大学中文 II
高等数学(理工学生
修读)
体育和保健
应用伦理学
实用统计学(理工学
生修读)
Code
ENG1011
ENG1012
ENG1020
ENG2011
ENG2012
I.T.1010
LANG1011
LANG1012
Credits
3
3
3
3
3
3
3
3
MATH1030
3
P.E.1010
R.P.2010
3
3
STAT1030
3
5.4 General Education Elective Subjects7
Course
World Ecological Problems and
Man
Business Communication Skills
Business Enterprise
Principles of Microeconomics
World Music Appreciation
Interpersonal Communication
General Psychology
Philosophy and the Meaning of Life
Introduction to Sociology
Other General Education Electives*
Chinese Title
Code
Credits
世界生态与人类
BIOL1010
3
商业交流技巧
企业导论
微观经济原理
世界音乐欣赏
人际沟通技巧
心理学导论
哲学与人生意义
社会学导论
其它通识教育选修
科目
BUS2030
BUS2040
ECON2020
MUS1010
ORGC3010
PSY2010
R.P.1020
SOC1010
3
3
3
3
3
3
3
3
*See UIC website.
7
The availability of general education required subjects and general education elective subjects are subject to
change, see announcements posted on the UIC website.
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※ Handbook 2007 ※
6. Four-Year Study Plan
6.1 Year One
Semester 1 上学期
English I (ENG1011)
大学英文 I
Chinese I (LANG1011)
大学中文 I
Mathematics for Science
(MATH1030)
高等数学(理工学生修读)
Physical Education (P.E.1010)
体育和保健
Information Technology
(I.T.1010)
信息科技
General Education Electives
通识教育选修科目
Total 合计
Credits
3
3
3
3
3
3
18
Semester 2 下学期
English II (ENG1012)
大学英文 II
Chinese II (LANG1012)
大学中文 II
Calculus and Linear Algebra
(MATH1040)
微积分和线性代数
Statistics for Science
(STAT1030)
实用统计学(理工学生修读)
Academic Reading and
Writing (ENG1020)
学术阅读与写作
General Education Electives
通识教育选修科目
Total 合计
Credits
Semester 2 下学期
English IV (ENG2012)
大学英文 IV
Regression Analysis
(STAT2020) 回归分析
Introduction to Mathematical
Finance (MATH2040)
金融数学导论
General Education Electives#
通识教育选修科目
Credits
3
3
3
3
3
3
18
6.2 Year Two
Semester 1 上学期
English III (ENG2011)
大学英文 III
Advanced Calculus I
(MATH2010) 高等微积分 I
Structured Programming
(COMP1020)
结构程序编写
Statistics & Probability
(STAT 2010)统计与概率论
Applied Ethics (R.P.2010)
应用伦理学
General Education Electives
通识教育选修科目
Total 合计
Credits
3
3
3
3
3
3
3
9
3
3
18
Total 合计
320
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※ Statistics Programme ※
6.3 Year Three
Semester 1 上学期
Credits
Logistics (OR3010)
物流学
3
Linear Programming & Integer
Programming (OR3020)
线性规划和整数规划
3
Advanced Calculus II (MATH3070)
高等微积分 II
Simulation (OR3030)
随机模拟
Quality Control - Six Sigma
(STAT3030) 质量控制及
六西格码
Major Electives
专业选修课
3
Computer-Aided Data Analysis
(STAT3020)
数据分析在计算机中的实现
Major Electives
专业选修课
General Education Electives
通识教育选修科目
Total 合计
Semester 2 下学期
Categorical Data Analysis
(STAT3010)
离散变量的数据分析
3
3
Credits
3
3
3
3
General Education Electives
通识教育选修科目
3
Total 合计
15
3
18
6.4 Year Four
Semester 1 上学期
Multivariate Analysis
(STAT4020) 多元统计分析
Dynamic Programming
Inventory Control (OR4010)
动态规划及库存控制
Final Year Project I
(MATH4111) 毕业论文 I
Major Electives
专业选修课
Total 合计
Semester 2 下学期
Credits
Experimental Design
3
(STAT4010) 试验设计
Advanced Topics in Operations
Research (OR4020)
3
高等运筹学选题
Final Year Project II 8
3
(MATH4112) 毕业论文 II
Major Electives
6
专业选修课
Total 合计
15
Credits
3
3
3
6
15
[Note: The subjects available each year are subject to changes and adjustments depending
on staff availability etc. Students are expected to check with the Academic Registry for
subjects available in any one particular year.
# For year 2 students: in semester 2, the subject, ‘Academic Reading and Writing
(ENG1020)’ will replace one of the General Education Electives, i.e. All year 2 students must
take ENG1020.]
8
With the approval of the Programme Coordinator, students may substitute it by a 3-credit major elective subject
(经学科课程统筹主任批准, 学生可选修另一门 3 学分的专业选修科目替代).
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※ Handbook 2007 ※
7. Assessment, Progression and Awards
This programme follows basically the HKBU undergraduate course regulations approved by
the UIC Senate (See Appendix) in terms of assessment, progression and awards. An extract
(with modifications) is given below:
7.1 Assessment Methods
The assessment guidelines for each subject are specified in the syllabus of the subject. The
subject instructors will determine and announce the specific assessment procedures for their
subjects. Each final year project will be assessed by: (i) the supervisor and (ii) an observer.
7.2 Assessment Grading System
The programme will follow the Grade Point Average (GPA) system. Letter grades are given
for each subject. The following table shows the grade points gained corresponding to the
letter grade.
Letter Grade
A
AB+
B
BC+
C
CD
E
F
I
S
U
W
YR
NR
PR
Academic Performance
Excellent
Excellent
Good
Good
Good
Satisfactory
Satisfactory
Satisfactory
Marginal Pass
Conditional Pass
Fail
Incomplete
Satisfactory
Unsatisfactory
Withdrawn
Year Grade
Not Yet Reported
Project to be Resubmitted
Grade Point Per Unit
4.00
3.70
3.30
3.00
2.70
2.30
2.00
1.70
1.00
0.00
0.00
NA
NA
NA
NA
NA
NA
NA
7.3 Progression
7.3.1 Normal Progression
The overall performance of students will be presented to the Division Board of Science &
Technology and/or the Board of Examiners at the end of each academic year for evaluation.
The criterion for normal progression from one year of the programme to the next is to achieve
a Year GPA not lower than 2.00.
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※ Statistics Programme ※
7.3.2 Students with Low GPA
Students with a year GPA below 1.70 will be warned officially and/or put on academic
probation. Students with an extremely low GPA may, at the discretion of the Board of
Examiners, be required to repeat the year of study. Those who fail to meet the academic
requirements of the repeating year may be dismissed from the Programme.
7.3.3 Honours Classification
The B.Sc. (Honours) in Computer Science and Technology will be awarded only to students
who successfully complete all the progression requirements of the four-year programme set
out by the College. The various classifications are based on the cumulative Grade Point
Average (cGPA). The general guidelines are as follows:
cGPA
3.40-4.00
3.00-3.39
2.50-2.99
2.20-2.49
2.00-2.19
Honours Classification
First Class
Second Class (Division I)
Second Class (Division II)
Third Class
Pass
7.4. Academic Awards and Scholarships
President's Honour Roll
The President's Honour Roll is applicable to students with a GPA of 3.50 or above, and with
no grades below C for a given semester.
Dean's List
The Dean's List is applicable to students with a semester GPA between 3.00 and 3.49 and
with no grades below C for a given semester.
Scholastic Award
The graduate who has the highest cumulative GPA (cGPA) in the graduating class, and whose
cGPA is no less than 3.20, will be awarded the scholastic award for that year. In any one year,
if more than one graduate in the same programme has the same highest cGPA, of 3.20 or
above, they will all be given the scholastic award.
Scholarships
Scholarships are awarded to students based on academic merit (See UIC website for details).
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8.
Subjects Description
8.1 Major Core Subjects
COMP 1020 STRUCTURED PROGRAMMEMING
(3 credits)
Pre-requisite(s): None
Subject Description: This subject introduces a methodical approach to programme
development, starting from problem formulation and specification, through design of the
solution, implementation, and documentation, to evaluation of the solution. The subject matter
is taught through a high-level structured programming language. At present, C is used.
MATH 1040 CALCULUS AND LINEAR ALGEBRA
(3 credits)
Pre-requisite(s): MATH1030 MATHEMATICS FOR SCIENCE
Subject Description: This subject introduces the basic techniques in matrix algebra, which is
the foundation for more advanced mathematics and statistics subjects. Major emphasis will be
on the system of linear equations, linearly independence, and eigenvalue problems in finite
dimensional vector spaces. Basic ideas and techniques on calculus will be introduced.
MATH 2010 ADVANCED CALCULUS I
(3 credits)
Pre-requisite(s): MATH 1040 CALCULUS AND LINEAR ALGEBRA
Subject Description: This subject introduces with mathematical rigor the basic ideas and
techniques in single variable calculus so that students can master mathematics. It provides
the foundation for more advanced mathematical and statistical subjects.
MATH 2040 INTRODUCTION TO MATHEMATICAL FINANCE
(3 credits)
Pre-requisite(s): MATH 2010 ADVANCED CALCULUS I
Subject Description: To introduce (1) the practical and theoretical concepts involved in
computing interest; (2) sufficient knowledge to handle all normal interest computations
including bonds and mortgages and; (3) the common practical methods of computing
approximate interest rates for commercial transactions.
MATH 3070 ADVANCED CALCULUS II
(3 credits)
Pre-requisite(s): MATH 2010 ADVANCED CALCULUS I
Subject Description: This subject is a continuation of Advanced Calculus I. It provides a
solid foundation in multivariable calculus so that students can study more advanced
mathematics and statistical subjects.
MATH 4111 FINAL YEAR PROJECT I
MATH 4112 FINAL YEAR PROJECT II9
(3 credits)
(3 credits)
Pre-requisite(s): YEAR IV STANDING IN COMPUTER SCIENCE
Subject Description: Students will undertake an individual project under the supervision of a
faculty member and gain the practical experience of applying computer systems principles and
9
With the approval of the Programme Coordinator, students may substitute it by a 3-credit major elective subject
(经学科课程统筹主任批准, 学生可选修另一门 3 学分的专业选修科目替代).
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※ Statistics Programme ※
techniques acquired from the course to the solution of real-life problems. The project demands
careful planning and creative application of underlying theories and enabling technologies. A
thesis and an oral presentation are required upon successful completion of the project. This
subject is open to Computer Science majors only.
OR 3010 LOGISTICS
(3 credits)
Pre-requisite(s): None
Subject Description: To provide an understanding of major areas in Logistics as well as to
illustrate how to apply various skills and techniques in Logistics to solve and analyze various
real problems. The emphasis will be on learning various models and techniques in Logistics.
Many practical application models will be discussed and analyzed.
OR 3020 LINEAR PROGRAMMEMING & INTEGER PROGRAMMEMING
(3 credits)
Pre-requisite(s): None
Subject Description: To introduce fundamental theory, techniques and algorithms for linear
programming and integer programming problems. It addresses both the basic as well as
advanced topics in linear programming and integer programming. Several software packages
will be also introduced.
OR 3030 SIMULATION
(3 credits)
Pre-requisite(s): None
Subject Description: To introduce the basic computer simulation in various discrete systems.
The aim is to model and simulate various practical systems in financial, transportation, and
commercial applications. This subject covers the basic concepts, models and computer
software in simulating practical discrete systems. Various practical systems such as financial,
transportation, and commercial models will be discussed and studied.
OR 4010 DYNAMIC PROGRAMMEMING INVENTORY CONTROL
(3 credits)
Pre-requisite(s):OR 3020 LINEAR PROGRAMMEMING AND INTEGER
PROGRAMMEMING
Subject Description: This is a continuation of Linear Programming and Integer
Programming. The subject will introduce the basic and useful techniques in Dynamic
Programming and Inventory Control. The subject will be taught in a problem solving
approach.
OR 4020 ADVANCED TOPICS IN OPERATIONS RESEARCH
(3 credits)
Pre-requisite(s):OR 3020 LINEAR PROGRAMMEMING AND INTEGER
PROGRAMMEMING
Subject Description: This is a continuation of Linear Programming and Integer
Programming, and Dynamic Programming and Inventory Control. Some advanced topics will
be introduced to those students who are interested in mathematical models arising from
industrial and commercial applications.
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STAT 2010 STATISTICS & PROBABILITY
(3 credits)
Pre-requisite(s): STAT 1030 STATISTICS FOR SCIENCE, and
MATH 2010 ADVANCED CALCULUS I
Subject Description: This course introduces the basic probability theory and theoretical
statistics (probability distributions, estimation and hypothesis test criteria, etc.) so that the
students can understand the foundations of general statistical practices and are also well
prepared for the advanced courses like regression analysis, multivariate analysis, and time
series forecasting.
STAT 2020 REGRESSION ANALYSIS
(3 credits)
Pre-requisite(s): STAT 2010 STATISTICS AND PROBABILITY, and
MATH 1040 CALCULUS AND LINEAR ALGEBRA
Subject Description: To provide an understanding of the modern regression analysis and
techniques which are useful in data analysis. Regression analysis is one of the most useful
statistical techniques. There have been great developments in the past decades such as
statistical diagnostics, nonlinear regression, robust regression, nonparametric regression etc.
With the help of statistical packages such as MATLAB or R, students can analyse multivariate
data by modern regression techniques without any difficulty.
STAT 3010 CATEGORICAL DATA ANALYSIS
(3 credits)
Pre-requisite(s): STAT 2020 REGRESSION ANALYSIS
Subject Description: To equip students with statistical methods for analysing categorical data
arisen from qualitative response variables which cannot be handled by methods dealing with
quantitative response, such as regression and ANOVA. Some computing software, such as
SAS, S-PLUS, R or MATLAB, will be used to implement the methods. The learning
outcome will be the ability to formulate suitable statistical models for qualitative response
variables and to analyse such data with computer software.
STAT 3020 COMPUTER-AIDED DATA ANALYSIS
(3 credits)
Pre-requisite(s): STAT 2010 STATISTICS AND PROBABILITY
Subject Description: The goals of this subject are for students to learn statistical computing
and become familiar with statistical software packages. Statistical concepts and ideas are
often obscured by tedious computation. With the advent of information technology, most of
the statistical computation can be carried out easily. By using R, an open source
implementation of the well-known S language and can be freely downloaded, the students
will learn how to organize and analyze data.
STAT 3030 QUALITY CONTROL –SIX SIGMA
(3 credits)
Pre-requisite(s): STAT 2020 REGRESSION ANALYSIS
Subject Description: In this information age much data are collected, but less often analysed.
This course covers methods for gleaning useful information for large data sets. These methods
may be used to help improve product marketing, increase operational efficiency and discover
new knowledge.
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STAT 4010 EXPERIMENTAL DESIGN
(3 credits)
Pre-requisite(s): STAT 2020 REGRESSION ANALYSIS
Subject Description: This course stresses the theory and applications of experimental designs.
Various kinds of experimental designs such as factorial design, uniform design and design of
computer experiments will be introduced. Statistical analysis and model identification are
taught by using a number of real-life examples.
STAT 4020 MULTIVARIATE ANALYSIS
(3 credits)
Pre-requisite(s): STAT 2020 REGRESSION ANALYSIS
Subject Description: This subject provides an understanding of classical multivariate
analysis and modern techniques in data mining which are useful for analyzing both designed
experiments and observational studies. Real data in social, life, and natural sciences are
analysed using statistical packages such as R or Matlab.
8.2 Major Elective Subjects
MATH 2040 INTRODUCTION TO MATHEMATICAL FINANCE
(3 credits)
Pre-requisite(s): MATH 2010 ADVANCED CALCULUS I
Subject Description: This subject is of interest to all students who wish to gain knowledge of
compound interest as it is used in business, particularly bonds, mortgages, and installment
loans. Actuarial students must take this course.
Remark: it is for students admitted directly to Year 3.
MATH 4010 GRAPH THEORY
(3 credits)
Pre-requisite(s): Year 3 standing
Subject Description: This subject covers some fundamental concepts and principles of graph
theory. Practical topics include the Chinese postman problem, the traveling salesman problem
and the map coloring problems. Applications of the theory and some related algorithms are
also discussed.
MATH 4020 REAL ANALYSIS
(3 credits)
Pre-requisite(s): MATH 2010, 3070 ADVANCED CALCULUS I AND II
Subject Description: This subject provides an introduction to measure theory, Lebesgue
integration, LP spaces, and Fourier analysis. Equipped with this knowledge, students are
prepared for further studies in numerical analysis, functional analysis and advanced
probability theory.
MATH 4030 DIFFERENTIAL EQUATION
(3 credits)
Pre-requisite(s): MATH 1040 CALCULUS AND LINEAR ALGEBRA
Subject Description: This subject introduces differential equations and covers methods for
solving these equations. The modelling of diverse phenomena by differential equations is
demonstrated by a variety of examples.
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MATH 4040 COMPUTATIONAL FINANCE
(3 credits)
Pre-requisite(s): Year 3 or above standing or by the instructor
Subject Description: To introduce computational methods for problems of finance, including
mainly the computation of market indicators and option prices. The market indicators
include stock and option indices. The option prices are based on the Black-Scholes model.
Finite difference methods, Monte Carlo Methods and Binomial Tree Methods will be
introduced.
MATH 4050 ACTUARIAL MATHEMATICS
(3 credits)
Pre-requisite(s): MATH 2040 INTRODUCTION TO MATHEMATICAL FINANCE
Subject Description: This subject introduces the mathematics of life contingencies. Areas to
be studied include survival distributions and construction of life tables; and the calculation of
values of life insurance, of life annuities and of benefit premiums.
MATH 4060 CASE STUDIES
(3 credits)
Pre-requisite(s): Year 3 or above standing
Subject Description: This subject teaches students how mathematics interfaces with other
disciplines to solve real-life problems in statistics and operations research. The case study and
problem-based approach is adopted.
MATH 4070 NUMERICAL METHODS
(3 credits)
Pre-requisite(s): MATH 2010 ADVANCED CALCULUS I, and
MATH 1040 CALCULUS AND LINEAR ALGEBRA
Subject Description: This subject teaches the ideas underlying commonly used numerical
methods. It highlights important considerations in coding algorithms so that they are efficient
and reliable. It teaches students how to choose an appropriate numerical method for a
particular problem and to interpret the resulting output.
OR 4030 OPTIMIZATION
(3 credits)
Pre-requisite(s): Year 3 or above standing or by the instructor
Subject Description: This subject introduces the fundamental theory and techniques for both
unconstrained and constrained optimization. There will be an overview of the existing
numerical software packages. Finally some interdisciplinary techniques and applications
related to optimization will be discussed.
OR 4040 NETWORK AND TRANSPORTATION MODELS
(3 credits)
Pre-requisite(s): OR 3020 LINEAR PROGRAMMEMING AND INTEGER
PROGRAMMEMING
Subject Description: This is a continuation of OR 3030 Linear Programming and Integer
Programming. Some basic topics related to networks will be introduced in this subject. This
subject will be taught in a practical-oriented approach.
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STAT 2020 REGRESSION ANALYSIS
(3 credits)
Pre-requisite(s): STAT 2010 STATISTICS AND PROBABILITY, and
MATH 1040 CALCULUS AND LINEAR ALGEBRA
Subject Description: To provide an understanding of the modern regression analysis and
techniques which are useful in data analysis. Regression analysis is one of the most useful
statistical techniques. There have been great developments in the past decades such as
statistical diagnostics, nonlinear regression, robust regression, nonparametric regression etc.
With the help of statistical packages such as MATLAB or R, students can analyse multivariate
data by modern regression techniques without any difficulty.
Remark: it is for students admitted directly to Year 3.
STAT 4040 LOSS MODELS
(3 credits)
Pre-requisite(s): STAT 2010 STATISTICS AND PROBABILITY，and
MATH 2040 INTRODUCTION TO MATHEMATICAL FINANCE
Subject Description: Subject contains basic probability, generating functions, theory of
recurrent events, Markov chains and Markov processes. This subject develops and analyzes
models for fixed time intervals. It covers models for claim severities, models for claim
frequencies, aggregate claims models and ruin theory. This course is of interest primarily to
advance actuarial science students and statistics students.
STAT 4050 STRUCTURAL EQUATION MODELING
(3 credits)
Pre-requisite(s): STAT 2010 STATISTICS AND PROBABILITY, and
STAT 4010 MULTIVARIATE ANALYSIS
Subject Description: This course describes the logic underlying structural equation modeling
(SEM) approach, also known as covariance structure analysis, and how SEM approaches
relate to techniques like regression, path analysis, and factor analysis. We will analyze the
strengths and shortcomings of SEM as compared to alternative methodologies, and explore
the various methodologies for analyzing structural equation data.
STAT 4060 DESIGN AND ANALYSIS OF SURVEYS
(3 credits)
Pre-requisite(s): STAT 2020 REGRESSION ANALYSIS, and
STAT 3010 CATEGORICAL DATA ANALYSIS
Subject Description: Sample survey is a popular means for gauging opinions and views of a
target population. It is widely used in many areas including behavioral sciences, biomedical
sciences, social research, marketing research, financial and business services, public opinions
on government policies, etc. However, improperly conducted surveys or inappropriate
analyses of the results could lead to seriously wrong conclusions. This subject equips
students with a sound understanding of survey operations, sampling methods, questionnaire
design and analysis of results.
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STAT 4070 SURVIVAL ANALYSIS
(3 credits)
Pre-requisite(s): STAT 2010 STATISTICS AND PROBABILITY, and
STAT 2020 REGRESSION ANALYSIS
Subject Description: This course first presents parameterizations of survival distributions, in
terms of hazard intensities, which lend themselves to the formulation of parametric models,
including regression-type models which relate failure-time distributions to auxiliary
biomedical predictors. The special features of truncation or censoring present unique
challenges in the formulation of likelihoods and efficient estimation and testing in settings.
STAT 4080 TIME SERIES ANALYSIS
(3 credits)
Pre-requisite(s): STAT 2020 REGRESSION ANALYSIS
Subject Description: This subject provides students with sophisticated statistical techniques
and models for analyzing time series data. Using statistical packages, such as R and Matlab,
as computational aid, students will learn to use the models for analysis and forecasting. where
the distributions of arrival-times and withdrawal-times are unknown and not parametrically
modeled. This statistical topic has achieved great prominence in the theoretical statistical
literature because it is a particularly good arena for the introduction of techniques of
estimating and testing finite- dimensional parameter values --- such as a
treatment-effectiveness parameter in clinical studies --- in the presence of infinite-dimensional
unknown parameters. Such problems are referred to as semi-parametric.
STAT 4090 DATA MINING
(3 credits)
Pre-requisite(s): STAT 2020 REGRESSION ANALYSIS
Subject Description: In this information age much data are collected, but less often analysed.
This course covers methods for gleaning useful information for large data sets. These methods
may be used to help improve product marketing, increase operational efficiency and discover
new knowledge.
STAT 4100 LIFE CONTINGENCIES
(3 credits)
Pre-requisite(s): MATH 4050 ACTUARIAL MATHEMATICS
Subject Description: This subject is a continuation of “Introduction to Actuarial
Mathematics”. Mathematics of life contingencies as applied to insurance models including
expenses, non-forfeiture benefits, dividends, and valuation theory for pension plans will be
discussed.
STAT 4110 APPLIED STOCHASTIC PROCESS
(3 credits)
Pre-requisite(s): MATH 2010 ADVANCED CALCULUS I, and
MATH3070 ADVANCED CALCULUS II, and
STAT 2010 STATISTICS AND PROBABILITY
Subject Description: This course quickly reviews basic probability theory and deals with
major stochastic processes including Poisson processes, renewal theory, Markov chains and
continuous-time Markov Chains. Applications to inventory problems, equipment replacement
policy and queuing theory are also dealt with through some examples.
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8.3 General Education Required Subjects
ENG1011 ENGLISH I
ENG1012 ENGLISH II
(3 credits)
(3 credits)
Pre-requisite(s): None
Subject Description: ENGLISH I & II aim to raise students’ general proficiency in English to a
level appropriate for university study, and equip them with relevant and appropriate
communicative skills. Language skills - speaking, listening, reading and writing - will be taught
in an integrated manner, and in the context of topic areas appropriate to students’ needs and
interests. Specific skills and language structures will also be taught where necessary to
strengthen the students’ general English proficiency.
ENG 1020 ACADEMIC READING AND WRITING
(3 credits)
Pre-requisite(s): None
Subject Description: This course aims at raising students’ specific language ability in
reading and writing academic texts of their own major disciplines. The course will use
reading texts from chapters of books or journal articles recommended by teachers of
different majors for reading comprehension. These texts will also be used for analysis to
enable students to develop an awareness of the genre in that particular discipline. The
course will also train students to paraphrase, quote and summarize ideas from academic
papers as well as revising and proofreading. The course will help students to increase and
refine their academic vocabulary. It will help students to improve their English proficiency
in task-based activities. These activities will take the form of an hour-long lecture on
reading and writing, an hour-long tutorial for writing practice and another hour on
task-based activities every week. In addition, the course will include a monthly workshop
on learning English through current affairs when students will get exposure to more
expository writing of a more general nature.
ENG2011 ENGLISH III
ENG2012 ENGLISH IV
(3 credits)
(3 credits)
Pre-requisite(s): ENG1011 ENGLISH I & ENG1012 ENGLISH II
Subject Description: ENGLISH III & IV aim to develop appropriate communicative strategies
and improve students’ general level of proficiency in English. Subject materials provide
integrated language training in speaking, listening, reading and writing. Specific skills and
language structures are taught in the context of topic areas appropriate to students’ needs.
I.T.1010 INFORMATION TECHOLOGY
(3 credits)
Pre-requisite(s): None
Subject Description: This subject aims at providing students with an in-depth understanding
of the application of computer technology in various organizations and developing students’
confidence in using computers for various tasks, including how to create and access
information using the Web technology. Upon completion of this subject, students will be able
to: (1) understand computer organization (number systems, data representation, machine
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instruction cycle); (2) present ideas in different context with appropriate publishing software
tools; (3) use desktop and Web publishing for an organization’s communication; (4) formulate
essential strategies for purchasing, installing and maintaining computer system.
LANG1011 CHINESE I
LANG1012 CHINESE II
(3 credits)
(3 credits)
Pre-requisite(s): None
课程目标: 全面提高学生对中国文化及文学的认识，加强学生读、写、听、说能力，培
养他们对中国语文的兴趣，并提供自学途径，鼓励他们持续学习。
MATH1030 MATHEMATICS FOR SCIENCE
(3 credits)
Pre-requisite(s): None
Subject Description: This subject introduces some basic ideas and techniques in calculus. This
subject also introduces basic knowledge in matrix theory for solving simple systems of linear
equations. After taking this subject, students will know differentiation and integration, some
elementary functions and will be able to solve linear systems with two or three unknowns.
P.E.1010 PHYSICAL EDUCATION/HEALTHY LIVING
(3 credits)
Pre-requisite(s): None
Subject Description: This subject provides a basic introduction to the principles of health and
physical fitness programmes. Students will also gain practical experience of selected fitness
exercises. It aims to acquaint students with the fundamental knowledge and skills of team and
individual sports. Topics will include: health and wellness; physical fitness/health; fitness/motor
fitness; causes and prevention of cardiovascular heart disease; stress management; diet and body
weight control; chronic and acute effects of exercise; safe and effective exercise programmes;
and development of sporting culture.
R.P.2010 APPLIED ETHICS
(3 credits)
Pre-requisite(s): None
Subject Description: This subject enables students to understand a range of ethical issues in
today’s society. Through discussing the major arguments engaging in debates and studying
particular cases (including sources from newspapers, magazines and films, etc.), students will
learn to reflect on the issues at a deeper level, to evaluate different arguments critically, and to
be able to formulate their own solutions to these ethical problems. Through such survey,
students will also learn to identify relevant ethical principles, and to apply and to reflect
critically on them.
STAT1030 STATISTICS FOR SCIENCE
(3 credits)
Pre-requisite(s): None
Subject Description: This subject deals with statistical methods and theory. The emphasis is on
what, how, when and why certain statistical methods can and cannot be applied. Topics include
exploratory data analysis, estimation, hypothesis testing, analysis of variance, simple linear
regression and nonparametric methods. Students are required to solve a variety of problems
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using calculators and statistical packages.
8.4 General Education Elective Subjects
The subjects listed below are not exhaustive, for more information see the UIC website.
BIOL1010 WORLD ECOLOGICAL PROBLEMS AND MAN
(3 credits)
Pre-requisite(s): None
Subject Description: This introductory subject combines scientific and non-technical
appraisals of processes and problems dealing with the question of environment quality.
Therefore, humanity will be studied in the physical as well as the social setting. Though major
issues may vary for developing and developed nations, topics concerned with population
pressure, pollution and urbanization will be among those considered.
Major environmental issues reflecting the interaction between man and the environment as the
basic model framework will be examined. The basic approach will be to adopt ecological
principles and to apply them to local issues (coastal degradation and erosion, pollution, etc.);
regional issues (e.g. coral reef damages, shifting cultivation, urbanization etc.); and world issues
(e.g. population growth and demography, greenhouse effect, ozone depletion, global warming,
etc.). Lectures will be supplemented with discussions of articles, videos, and slides pertaining to
environmental problems.
BUS2030 BUSINESS COMMUNICATION SKILLS
(3 credits)
Pre-requisite(s): None
Subject Description: This course aims to develop students’ business communication skills for
effective communication in business contexts. Students will be given extensive practice in
written and spoken business communication through realistic scenarios presented in the course.
Students will study the basic concepts of communication and organizational communication in
order to develop the abilities and skills to write professional business documents including
letters, memos, email, notices, reports and proposals. Students will become familiar with the
structure, organization and dynamics of formal business meetings in order to heighten
awareness of the elements that contribute to effective business discussions. Through a
simulation of the recruitment process, students will write resumes and cover letters, and practice
interview techniques.
BUS2040 BUSINESS ENTERPRISE
(3 credits)
Pre-requisite(s): None
Subject Description: This subject introduces students to the organization, operations, and
business environment of a business enterprise. Concepts, theories and practices in business
planning, organizational structure, production, quality control, human resources, marketing,
accounting and financial management will be taught. The effective staffing of a business
enterprise, the theory and practices of training and development, the compatibility of the
productive utilization of human resources in achieving business enterprises’ objectives and the
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satisfaction of employee needs will be covered in depth. Case studies of different business firms
will be used to strengthen students’ understanding. Upon completion of this course, students
will be able to apply the above business knowledge to analyze and evaluate the internal
operations and external business environment of many existing business enterprises.
ECON2020 PRINCIPLES OF MICROECONOMICS
Pre-requisite(s): None
(3 credits)
Subject Description: This subject provides students with an introduction to the basic principles
of Microeconomics and their relevance and application to various types of business activities. It
is expected that students will be able to understand, after completing the course, how an
individual and business firm behave in an economic system. Topics include economic choice,
elasticity, production decision, allocation of resources through the price mechanism, forms of
competition and industrial organization, and the role of the government and interest groups.
MUS1010 WORLD MUSIC APPRECIATION
(3 credits)
Pre-requisite(s): None
Subject Description: This subject provides students with an introduction to the traditional
music of China, Japan, Indonesia, India, Africa, and North America. The subject includes an
examination of the interrelationships between a society and its music. The function of music
within a society and how that function affects the type of music created will be discussed.
Prominent features of traditional music will be observed. Relationships between music of
different cultures will be studied, including the development of musical instruments. The
emphasis of this subject will be on developing listening skills and an awareness of the richness
of traditional music throughout the world.
ORGC3010 INTERPERSONAL COMMUNICATION
(3 credits)
Pre-requisite(s): None
Subject Description: This is an introductory subject in communication theory/practice.
Students will utilize their powers of speech to increase effectiveness in interpersonal
relationships through the understanding of self and others.
PSY2010 GENERAL PSYCHOLOGY
(3 credits)
Pre-requisite(s): None
Subject Description: This subject provides students with a general introduction to the field of
psychology. While several orientations to the study of human behaviour will be discussed, the
primary emphasis will be on the scientific study of behaviour from an empirical perspective.
After completing this subject, students will be able to: 1. describe and distinguish between the
major psychological theories of behaviour; 2. define, generate and identify examples of the
basic behavioural principles and concepts; 3. critique the major areas typically considered the
domain of psychology such as learning, sensation, memory, personality, developmental
psychology, and abnormal behaviour, from an empirical perspective.
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R.P.1020 PHILOSOPHY AND THE MEANING OF LIFE
(3 credits)
Pre-requisite(s): None
Subject Description: The subject begins with a broad investigation of the philosophical mind
and its quest for meaning and value. It then proceeds to the examination of the major questions
about goodness, suffering, death and hope that have both fascinated and perplexed humanity
throughout the ages, and are at the origin and the centre of philosophical investigation. Taking
up the challenge they present to all searching for a meaningful and unified life, well lived, the
subject will connect individual life experiences and existential concerns with the great traditions
of thought.
SOC1010 INTRODUCTION TO SOCIOLOGY
(3 credits)
Pre-requisite(s): None
Subject Description: This subject is an introduction to the study of social interaction and
human relationships in society. It focuses on a) the basic concepts, approaches and methods in
Sociology; b) the relationship between individuals and groups/organizations; c) the analysis of
major social institutions such as marriage and the family; power and politics; economy and
work; and d) selected issues in contemporary society such as deviance and social control, social
inequalities and mobility, modernizations and social change, population and environment.
9. Internship, Placement and Overseas Visits
In order to provide students with practical experiences and broaden their minds and horizons,
UIC will arrange internships, placements in industries, companies and enterprises, and overseas
visits (for details, see the UIC website).
10. Research Institute
In 2006, the Division of Science and Technology established a Statistics and Computational
Intelligence Research Institute (for details, see the UIC web-site). The Director of the Institute is
Prof. K. T. Fang (IMS and ASA Elected Fellow).
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