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0‚i‡sgP–š[t0 Course Title: Probability Theory Course Code: Class Hours: 64 Credits: 4 Course Category: Disciplinary Basic Course Course Description: Probability theory is the branch of  HYPERLINK "http://en.wikipedia.org/wiki/Mathematics" \o "Mathematics" mathematics that focuses on the study of various  HYPERLINK "http://en.wikipedia.org/wiki/Statistical_randomness" \o "Statistical randomness" random phenomena, its theory and method is widely applied to various fields of natural science, technical science and social science. The main task for studying the course makes students mastery of the basic theories and basic methods for studying  HYPERLINK "http://en.wikipedia.org/wiki/Statistical_randomness" \o "Statistical randomness" random phenomena rule, cultivates students applying probability theory to solve problem ability. The contents include: the basic concepts of probability theory, random variables and distributions, random vectors and distributions, numerical characteristics of random variables, characteristic functions and probability limit theorems. 18.ØšI{ãNpe N þ‹z TðyÿØšI{ãNpeÿ N ÿ ñ‚‡e TðyÿAdvanced Algebra I þ‹zãN
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0;‘¨ctŒTЏ—{„vý€›R0 Course Title: Advanced Algebra (I) Course Code:140033 Class Hours: 64 Credits: 5 Course Category: Disciplinary Basic Course Course Description: This course aims to provide students the basic definitions, theorems, methods, calculation and proof skills of advanced algebra by all kinds of teaching methods, to prepare the students study other related subsequence courses, and become a professional in engineering, research and other new science fields. Beyond that, it can also cultivate the student's ability of abstract, logical, and thinking. Then the student has the abilities of analyze and solve problems using advanced algebra. The main objects of study are polynomials, matrices, linear equations system, quadratic forms. 19.ØšI{ãNpe`N˜˜ ²‹1 þ‹z TðyÿØšI{ãNpe`N˜˜ ²‹1 ñ‚‡e TðyÿAdvanced Algebra Exercises Course 1 þ‹zãN
xÿ140171 f[ öeÿ32 f[ Rÿ2 þ‹z{|+Rÿf[ÑyúW@xþ‹ …Q¹[€{ËNÿُè•þ‹/fØšI{ãNpeþ‹„veˆEQÿNØšI{ãNpeTekۏLˆÿèe(WOf[uRekŒcácØšI{ãNpeãNpe„vúW,gåwÆ‹ÿú^Ëzpef[„vN,‚‚iõ_0–™HQÿ㉳Qf[u㉘˜öeG0R„vðV¾–ÿ²‹ã‰þ‹z-N„v¾–¹pNÍ‘¹pÿvQ!kÿeˆEQøvsQ„vþ‹YåwÆ‹ÿÓb½[f[u„våwÆ‹b—ÿùW{Qf[u„vf[`NtQ£0;N‰…Q¹[SìbÿYy˜_ÿLˆR_ÿéw5–ÊSvQЏ—{ÿéw5–„vRI{ØSbcN¿~'`¹ezÄ~ÿŒN!k‹W0 Course Title: Advanced Algebra Exercises Course 1 Course Code: 140171 Class Hours: 32 Credits: 2 Course Category: Disciplinary Basic Course Course Description: This course is closely combined the course of Advanced Algebra, designed to make students master the basic knowledge of linear algebra, establish the concept of mathematics. Which aims at improving students' ability of solving exercises and interest of mathematics by explaining difficulty and focus, adding the relevant extra-curricular knowledge. Contents include: Polynomial, Determinant, Matrix, Linear equations and Quadratic form. 20.ØšI{ãNpeN þ‹z TðyÿØšI{ãNpeÿN ÿ ñ‚‡e TðyÿAdvanced Algebra I þ‹zãN
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0;‘¨ctŒTЏ—{„vý€›Rÿü~TЏ(u@bf[ØšI{ãNpeåwÆ‹„vý€›R0 Course Title: Advanced Algebra II Course Code:140034 Class Hours: 80 Credits: 5 Course Category: Disciplinary Basic Course Course Description: This course aims to provide students the basic definitions, theorems, methods, calculation and proof skills of advanced algebra by all kinds of teaching methods, to prepare the students study other related subsequence courses, and become a professional in engineering, research and other new science fields. Beyond that, it can also cultivate the student's ability of abstract, logical, and thinking. Then the student has the abilities of analyze and solve problems using advanced algebra. The main objects of study are linear spaces, linear transformations, matrix theory, Euclidean spaces and bilinear forms. 21.¡{tÑyf[ þ‹z Tðy: ¡{tÑyf[ ñ‚‡e TðyÿManagement Science þ‹zãN
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cû|ß~þ‹zSbNúW@x0 Course Title: Management Science Course Code: 140096 Hour: 48 Credit: 3 Course categories: Disciplinary Basic Course Course Description:This course includes the basic principles and theory methods of management science. It is mainly focus on quantitative methods which management functions is needed. It includes the management introduction, business decision-making basis, breakeven analysis, profits planning, funds planning, business decision analysis, investment decision analysis and evaluation, multi-objective Decision analysis. Students can understand the typical business management processes and mathematical models which the management used, and learn how to compare and choose a more profitable Project for enterprise by using a static and dynamic analysis method. The course focus on applying mathematical knowledge to solve related problems of the enterprise management. It is also a link up course for decision support systems which students will study. 22.¡{tN³QV{/e
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cǏz„v—{ÕlÊSvQDn„vM‘n³QV{Ǐz0 Course Title: Management and Decision Support System Course Code: 140067 Hour: 48 Credit: 3 Course categories: Disciplinary Basic Course Course Description:The main goal of this course is to cultivate the ability of students solving problems in the field of economy and management by using mathematical methods and computer technology. The main contents are the principles, methods, structure, function of management information system (MIS) and Decision Support System (DSS) as well as object-oriented analysis and Project. Moreover, by studying and discussing management functions of MIS , DSS decision making, intelligent decision-making model base and knowledge base, knowledge reasoning process, it emphasize the data mining methods learning of neural networks, cluster analysis, principal component analysis, correlation analysis, decision tree and genetic algorithm. For practice learning, it introduce data mining software applications supporting MIS planning and control, so that students can learn how to use the Clementine data mining software to solve practical problems. Also, students can grasp the key of the design intelligent DSS, and understand the process of management and decision support algorithms trough these cases of management information systems MRP. 23.¡{tN³QV{/e
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xÿ140156 f[ öeÿ48 f[ Rÿ3 þ‹z{|+RÿNN†˜ßWþ‹ …Q¹[€{ËNÿ,gþ‹z²‹ˆc¡‹—{:gþVb_f[„vúW,g‚iõ_ÿ ©‹f[uf[`Nv^ŒcácúW,gþVb_„vub—{ÕlÿŒcácþVb_ú^!j„vŸStŒT¹eÕlÿf[`NŒcácòf¿~ŒTòfb—„vpef[hˆ:y¹eÕlÿƒ}Y0WŒcácàQÍyúW,gˆm–—{ÕlÊSúW,g”^(uÿ tã‰þVb_pencÓ~„gÿ†Nã‰þVb_oöNû|ß~„vúW,g¾‹¡‹ŸSRÿf[OЏ(uúW,gŸStO(uOpenGL_ÑSþVb_”^(uz^0 Course Title: Computer Graphics Course Code: 140156 Class Hours: 48 Credits: 3 Course Category: Specialty-related Course Course Description: The basic concepts and fundamental principles of Computer Graphics will be taught in this course. Students must master the producted scheme of basic graphics elements ,and master the principles and methods of graphics modeling. The representation methods in math of curve and surface also be taught and must be mastered. Some blanking algorithms include their application must be well master. Graphics data structure and the basic design principles of graphics software are taught and must be understood. At last, students are required to master how to use the OpenGL to develop some graphics application software. 25.¡‹—{:gQÜ~ þ‹z Tðyÿ¡‹—{:gQÜ~ ñ‚‡e TðyÿComputer Networks þ‹zãN
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0OS®‹ÊSvQ”^(u0 Course Title: Computer Networks Course Code: 140065 Class Hours: 48 Credits: 3 Course Category: Specialty-related Course Course Description: This course requires the students to understand the basic concepts of Computer Networks, and know the communications technology about the Computer Networkis. The basic theory of the Network architecture also be required to understand and master. The fundamental principles in data link layer ,network layer and transport layer must be master skillfully. This course also train the students to know and master how to design,setup,run and maintain a LAN. The concepts protocols and applications about the Internet and an internet also be include in this course and students are required to master. 26.¡‹—{:gŸSt þ‹z Tðyÿ¡‹—{:gŸSt ñ‚‡e TðyÿPrinciple of Computer þ‹zãN
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0øv’NsQû|åNTP[û|ß~’Nøvޏ¥c„gbte:gû|ß~„v€b/g0,gþ‹z(W¡‹—{:gf[Ñy-NYŽNb N/TN„v0WMO0:NåNTôf}Y0WO(u¡‹—{:gÊSTí~þ‹z‚YÍd\Oû|ß~ŒT¡‹—{:gQÜ~I{þ‹zSb}YúW@x0 Course Title: Principle of Computer Course Code: 140066 Class Hours: 64 Credits: 4 Course Category: Specialty-related Course Course Description: This course introduces the base principle of computer and its internal working mechanism. The contents include two parts. The 1st and 2nd section introduce the base knowledge of computer. The rest sections introduce the base principle, the design methods, the mutual relations, the interconnection technology of each sub systems in computer. The sub systems in computer which include Arithmetic-Logic Unit, Memory, Centre Processing Unit, Peripheral Equipment, Input/Output System. This course is the position of carry on the other computer courses. It can provide the basis for the later courses, such as operate system, computer network. 27.¡‹—{zfý€ þ‹z Tðyÿ¡‹—{zfý€ ñ‚‡e TðyÿComputational Intelligence þ‹zãN
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0§cöNåNÊSb—Tù[aŒ„vû|ß~RgŒT¾‹¡‹ËNÍ~I{…Q¹[ÿÎN€ Rñmù[b—Tù[aŒ¹eÕl„vtã‰ÿÐcØšz^¾‹¡‹„v4ls^ÿTöe:N†NÐcØšf[u„vž[E–”^(u€bý€ÿ‰Blf[uù[C#bJavaÿåNÊSWindowsz gƒhQb—„v†N㉌TŒcác0 Course Title: Object-oriented Programming Course Code: 140177 Class Hours: 64 Credits: 3.5 Course Category: Specialty-related Course Course Description: This is a Specialty-related Course which aims at making students learn and master the basic theories, basic knowledge and basic skills of Object-oriented methods, master object-oriented method of software development. The contents include: packaging and classes; inheritance and derived; polymorphism and virtual functions; Windows programming, document view architecture, graphics device interface and resources; dialog boxes, controls, object-oriented systems analysis, design of introduction and so on. Moreover, deepen the understanding of Object-oriented methods, and improve the level of program design. One the same time, in order to improve the practical application skill, students should be able to understand and grasp C# or Java, Windows programming. 34.b—Tù[aŒz^¾‹¡‹þ‹z¾‹¡‹ þ‹z Tðyÿb—Tù[aŒz^¾‹¡‹þ‹z¾‹¡‹ ñ‚‡e TðyÿCurriculum Design for Object-oriented programming þ‹zãN
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xŒT€b/g‡echI{0 Course Title: Curriculum Design for Object-oriented programming Course Code: 140179 Class Hours: One week Credits: 1 Course Category: Practice Course Course Description: This course is a part of “Object-oriented programming” as well as further study for the latter. By asking students to join in the developing of some simple software, the course aims at strengthening practice for program design by using Object-oriented methods and bringing up students’ abilities for analyzing and programming practical problems. The contents include: analysis, design and program by Object-oriented methods (abstract, class, inheritance, polymorphism); handing in source code and technical documentation of students self-developing program. 35.OP®_R¹ez þ‹z TðyÿOP®_R¹ez ñ‚‡e TðyÿPartial Differential Equations þ‹zãN
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xÿ f[ öeÿ48 f[ Rÿ3 þ‹z{|+RÿNN†˜ßWþ‹ …Q¹[€{ËNÿgCgg'I{Mˆu§NÁT/fNÍyÍ‘‰„v°sãNÑ‘‡å]wQÿvQ÷NyOŒågž[õ-N»S0þ‹z…Q¹[;N‰åNÐg*N^:W˜:Nxvzù[aŒÿ‰Blf[uêñ]ÂSN¹eHh¾‹¡‹
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0pencRgŒTŒåg¥bJT°d™QI{Ty˜Œåg„vž[õå]\OÿùW{Qf[u;mf[;m(uÿtº‹T€û|ž[E–ÿ¨RKb㉳Qž[E–˜„vý€›R0 Course Title: The Course Design of Market Rsearch and Forecast Course Code: Class Hours:1 week Credits: 1 Course Category: Practice Course Course Description:This course is the fulfillment course of match 0Market Rsearch and Forecast0, its purpose makes the student make use of the theory of 0Market Rsearch and Forecast0to go in a society investigate. The course contents mainly takes some problem on market as a research object and asks student to participate in a project design, questionnaire design, draw samples the design, data analysis and investigation report compose the fulfillment work of etc. each survey and train a student to live to learn to live to use, the theory contact is actual, begin the ability of solving the actual problem.43.pencÓ~„g þ‹z TðyÿpencÓ~„g ñ‚‡e TðyÿData Structure þ‹zãN
xÿ140076 f[ öeÿ64 f[ Rÿ4 þ‹z{|+Rÿf[ÑyúW@xþ‹ …Q¹[€{ËNÿ,gþ‹z/f¡‹—{:gŒTáOo`f[Ñy„vúW@xþ‹z0ƒ[;N‰ËNÍ~penc„vÄ~Ç~b__ÿpencÓ~„g ÿÿúWŽNُ›NpencÓ~„g„v—{ÕlÿåNÊSù[—{Õl„vRg0;N‰…Q¹[Sìbÿ¿~'`hˆÿhÿ–Rÿ2Nÿ^INhˆÿhÿþVÿ’c^ÿåg~bÿ‡eöN0 Course Title: Data Structure Course Code: 140076 Class Hours: 64 Credits: 4 Course Category: Disciplinary Basic Course Course Description: This is a basic course in computer and information science. It describes the organization of data (data structure), the algorithm based on these data structures and algorithm analysis. The main contents include: lists, stacks, queues, strings, multilists, trees, graphs, sorting, searching, file processing.44.pencÓ~„gþ‹z¾‹¡‹ þ‹z TðyÿpencÓ~„gþ‹z¾‹¡‹ ñ‚‡e TðyÿCourse Project of Data Structure þ‹zãN
xÿ140080 f[ öeÿ2hT f[ Rÿ2 þ‹z{|+Rÿž[õþ‹ …Q¹[€{ËNÿ,gþ‹z/f 0pencÓ~„g0„vM‘WYž[õþ‹z0‰Blf[uìrËzŒ[bå‚r^—{Õl¾‹¡‹„vþ‹z¾‹¡‹˜˜ÿv^Ðc¤N¾‹¡‹¥bJTŒTøvsQz^‡eöN0Ç¾‹¡‹(W NTpencÓ~„gN„v—{Õlÿ™QNKmÕ‹z^ÿRg—{Õlÿ™Qþ‹z¾‹¡‹¥bJTI{¯s‚‚„vü~T­‹Ã~ÿOf[uŒcácƒ YBg—{Õl„v¾‹¡‹¹eÕlŒT€bç]0 Course Title: Course Project of Data Structure Course Code: 140080 Class Hours: Two weeks Credits: 2 Course Category: Practice Course Course Description: This is a practice course matching the course ‘Data Structure’. Students are required to complete several tasks of algorithm design independently and submit the report of course project as well as the files of programming. By designing algorithms based on different data structures, programming, analyzing algorithm results and writing project report, Students can master the methods and techniques of more complicated algorithm design.45.penc“^”^(u þ‹z Tðyÿpenc“^”^(u ñ‚‡e TðyÿApplication of Database þ‹zãN
xÿ140071 f[ öeÿ 64 f[ Rÿ4 þ‹z{|+Rÿ NN†˜ßWþ‹ …Q¹[€{ËNÿ penc“^€b/gŒTû|ß~ò]Ï~b:NáOo`úW@x¾‹½e„v8hÃ_€b/gŒTÍ‘‰úW@x0penc“^€b/g\O:Npenc¡{t„vg gHe„vKbµkÿg'Y„vÃOۏ†N¡‹—{:g”^(u„vÑSU\0,gþ‹zû|ß~²‹ðpenc“^û|ß~„vúW@xtº‹
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0penc“^¾‹¡‹¹eÕlŒTek¤šÿpenc“^b` YŒTv^ÑS§c6RI{‹N¡R¡{túW@xåwÆ‹ÿsQû|ågâ‹YtŒTågâ‹OSI{0 Course Title: Application of Database Course Code: 140071 Class Hours: 64 Credits: 4 Course Category: Specialty-related Course Course Description: Database technology has become the core technology and an important base of computer information systems and application systems. This course introduces not only the theory, but also basic skills of database systems operation and maintenance, methods of designing database. The contents include: he basic concept of database systems and basic theory, data model, relational algbra, SQL standardized theory, database security and safety, concurrency control technology, cecovery technology, and methods of designing database. 46.penc“^”^(uþ‹z¾‹¡‹ þ‹z Tðyÿpenc“^”^(uþ‹z¾‹¡‹ ñ‚‡e TðyÿCurriculum Design of Database þ‹zãN
xÿ140087 f[ öeÿ 2hT f[ Rÿ2 þ‹z{|+Rÿ ž[õþ‹ …Q¹[€{ËNÿ,gþ‹z/fìrËz¾‹n„vNè•Ôkƒ YBg„v¾‹¡‹'`ü~T'`ž[Œšþ‹ÿ©‹f[uìrËzۏLˆ—BlRgÿŸRý€Rgÿpenc“^‚iõ_!j‹W
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0irt!j‹W„v¾‹¡‹ÿú^Ëzpenc“^ÿ}eQpencÿåNÊS™Q”^(uz^ÿЏLˆŒTô~¤bpenc“^û|ß~ÿ™QúQü~Tž[Œš¥bJT0 Course Title: Curriculum Design of Database Course Code: 140087 Class Hours: 2 week Credits: 2 Course Category: Practice Course Course Description: Comprehensive course design can effectively motivate learning interest of students, improve practical ability, and promote comprehensive quality. The contents include requirement analysis, functional analysis, design database concept model, logical model, and physical model, build the database with data loaded and run it with related application, maintain the database system, and submit a formal experiment report.47.petÑ‘‡ þ‹z TðyÿpetÑ‘‡ ñ‚‡e TðyÿMathematical Finance þ‹zãN
xÿ140160 f[ öeÿ 64 f[ Rÿ4 þ‹z{|+RÿNN†˜ßWþ‹ÿ îOþ‹0 …Q¹[€{ËNÿ,gþ‹z/fÑ‘‡å]z„vúW@xþ‹zÿËNÍ~Ñ‘‡å]z„vúW,g‚iõ_ŒTpef[!j‹W0,gþ‹z„vYef[…Q¹[åNBlack-Scholes gCgš[÷Ntº‹:N8hÃ_ÿËNÍ~@b¨‹º‹î•˜˜„vÏ~Nmf[Ì€ofåNÊS㉳Qُ›N˜„vpef[¹eÕlŒTúW,g`ó`0dkþ‹zêSåNf[u„v®_ïyRf[
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0…—º‹ŒT–:g®_R¹ezI{ƒñmeQ„v°sãN‚i‡sº‹åwÆ‹0Ç,gþ‹z„vf[`NÿOf[uRek†N㉰sãNÑ‘‡å]z„vúW,g…Q¹[ŒTÑ‘‡f[Ì€ofÿ†N㉏–:gpef[(WÑ‘‡å]zú^!j-N„v\O(uÿv^ŒcácN›NyrŠkgCg„vš[÷NlQ_ÊSvQ”^(uÿ:NۏNekf[`N°sãNÑ‘‡å]zŒTÑ‘‡å]zú^!jSb}YúW@x0 Course Title: Mathematical Finance Course Code: 140160 Class Hours: 64 Credits: 4 Course Category: Specialty-related Course Course Description: This course is a basic course of financial engineering and introduce the fundamental concept of financial engineering and mathematical models. This course take Black-Scholes’s option pricing formula as the center of contentÿintroduce background of discussed problems as well as the mathematical methods and ideas. The students needed only have learned the basic course of Calculus, Linear Algebra and Probability Theory, the content does not apply the modern probability theory such as measure theory, martingale theory and stochastic differential equations theory. Learned this course, students would understand the basic knowledge of modern financial engineering and its background, see the role of mathematical modeling in financial engineering, and learned some formulas for option pricing and its applications, prepared for further study those course of modern financial engineering and modeling.48.pet;‘ þ‹z Tðyÿpet;‘ ñ‚‡e TðyÿPrinciple of Logic þ‹zãN
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0penc“^”^(uI{þ‹zSb}YúW@x0 Course Title: Principle of Logic Course Code: 140178 Class Hours: 32 Credits: 2 Course Category: Specialty-related Course Course Description: This course introduces the principle of logic and the theory of set. The course teach students how to work with discrete structures which are the abstract mathematical structures used to represent discrete objects and relationships between these objects. Though this course, students can develop the ability to understand and create mathematical arguments. Upon completion of the course, the student should be able to: Use principles of logic, rules of inference and quantification in the construction of formal proofs; Apply principles of propositional logic to set theory. This course is the basis of the computer courses. It can provide the basis for the later courses, such as data structure, application of database.49.petß~¡‹ þ‹z Tðy: petß~¡‹ ñ‚‡e TðyÿMathematical Statistics þ‹zãN
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